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2025

AI for Crystal Materials - models and benchmarks

# AI for Crystal Materials： models and benchmarks Here we have collected papers with the theme of "AI for crystalline materials" that have appeared at top machine learning conferences and journals (ICML, ICLR, NeurIPS, AAAI, NPJ, NC, etc.) in recent years. See https://arxiv.org/abs/2408.08044 for details. We will keep this page updated.

Crystalline Material Physicochemical Property Prediction

Method Paper
SchNet Schnet: A continuous-filter convolutional neural network for modeling quantum interactions (NeurIPS2017) Paper(https://github.com/atomistic-machine-learning/schnetpack)]
CGCNN Crystal graph convolutional neural networks for an accurate and interpretable prediction of material properties (Physical Review Letters, 2018) Paper(https://github.com/txie-93/cgcnn)]
MEGNET Graph networks as a universal machine learning framework for molecules and crystals (Chemistry of Materials, 2019) Paper(https://github.com/materialsvirtuallab/megnet)]
GATGNN Graph convolutional neural networks with global attention for improved materials property prediction (Physical Chemistry Chemical Physics, 2020) Paper(https://github.com/superlouis/GATGNN)]
ALIGNN Atomistic line graph neural network for improved materials property predictions (npj Computational Materials, 2021) Paper(https://github.com/usnistgov/alignn)]
ECN Equivariant networks for crystal structures (NeurIPS2022) Paper(https://github.com/oumarkaba/equivariant_crystal_networks)]
PotNet Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction (ICML2023) Paper(https://github.com/divelab/AIRS/tree/main/OpenMat/PotNet)]
CrysGNN Crysgnn: Distilling pre-trained knowledge to enhance property prediction for crystalline materials (AAAI2023) Paper(https://github.com/kdmsit/crysgnn)]
ETGNN A general tensor prediction framework based on graph neural networks (The Journal of Physical Chemistry Letters, 2023) [Paper]
SCANN Towards understanding structure–property relations in materials with interpretable deep learning (npj Computational Materials, 2023) Paper(https://github.com/sinhvt3421/scann--material)]
FAENet FAENet: Frame Averaging Equivariant GNN for Materials Modeling (ICML2023) [Paper]
DTNet Dielectric tensor prediction for inorganic materials using latent information from preferred potential (npj Computational Materials, 2024) Paper(https://github.com/pfnet-research/dielectric-pred)]
GMTNet A Space Group Symmetry Informed Network for O(3) Equivariant Crystal Tensor Prediction (ICML2024) Paper(https://github.com/divelab/AIRS/tree/main/OpenMat/GMTNet)]
CEGANN CEGANN: Crystal Edge Graph Attention Neural Network for multiscale classification of materials environment (npj Computational Materials, 2023) Paper(https://github.com/sbanik2/CEGANN)]
ComFormer Complete and Efficient Graph Transformers for Crystal Material Property Prediction (ICLR2024) Paper(https://github.com/divelab/AIRS/tree/main/OpenMat/ComFormer)]
Crystalformer Crystalformer: infinitely connected attention for periodic structure encoding (ICLR2024) Paper(https://github.com/omron-sinicx/crystalformer)]
Crystalformer Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance (AAAI2024) [Paper]
E(3)NN Direct prediction of phonon density of states with Euclidean neural networks (Advanced Science, 2021) Paper(https://github.com/zhantaochen/phonondos_e3nn)]
DOSTransformer Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer (NeurIPS2023) Paper(https://github.com/HeewoongNoh/DOSTransformer)]
Matformer Periodic Graph Transformers for Crystal Material Property Prediction (NeurIPS2022) Paper(https://github.com/YKQ98/Matformer)]
CrysDiff A Diffusion-Based Pre-training Framework for Crystal Property Prediction (AAAI2024) [Paper]
MOFTransformer A multi-modal pre-training transformer for universal transfer learning in metal-organic frameworks (Nature Machine Intelligence, 2023) Paper(https://github.com/hspark1212/MOFTransformer)]
- Examining graph neural networks for crystal structures: Limitations and opportunities for capturing periodicity (Science Advances, 2023) Paper(https://github.com/shenggong1996/examining-GNN-for-crystal-periodicity/tree/master)]
Uni-MOF A comprehensive transformer-based approach for high-accuracy gas adsorption predictions in metal-organic frameworks (Nature Communications, 2024) Paper(https://github.com/dptech-corp/Uni-MOF)]
SODNet Learning Superconductivity from Ordered and Disordered Material Structures (NeurIPS2024) Paper(https://github.com/pincher-chen/SODNet)]
ChargE3Net Higher-order equivariant neural networks for charge density prediction in materials (npj Computational Materials, 2024) Paper(https://github.com/AIforGreatGood/charge3net)]
MD-HIT MD-HIT: Machine learning for material property prediction with dataset redundancy control (npj Computational Materials, 2024) Paper(https://github.com/usccolumbia/MD-HIT)]
ECSG Predicting thermodynamic stability of inorganic compounds using ensemble machine learning based on electron configuration (Nature Communications, 2025) Paper(https://github.com/Haozou-csu/ECSG)]
CrystalFramer Rethinking the role of frames for SE(3)-invariant crystal structure modeling (ICLR2025) [Paper] [Code]
ct-UAE Transformer-generated atomic embeddings to enhance prediction accuracy of crystal properties with machine learning (Nature Communications, 2025) [Paper] [Code]
- Cross-scale covariance for material property prediction (npj Computational Materials, 2025) [Paper] [Code]
AdsMT A multi-modal transformer for predicting global minimum adsorption energy (Nature Communications, 2025) [Paper] [Code]
DPF A Denoising Pre-training Framework for Accelerating Novel Material Discovery (AAAI2025) [Paper]
CrysCo Accelerating materials property prediction via a hybrid Transformer Graph framework that leverages four body interactions (npj Computational Materials, 2025) [Paper] [Code]
E2T Advancing extrapolative predictions of material properties through learning to learn using extrapolative episodic training (Communications Materials, 2025) [Paper] [Code]
- Probing out-of-distribution generalization in machine learning for materials (Communications Materials, 2025) [Paper] [Code]
- A machine learning model with minimize feature parameters for multi-type hydrogen evolution catalyst prediction (npj Computational Materials, 2025) [Paper] [Code]
- Automatic identification of slip pathways in ductile inorganic materials by combining the active learning strategy and NEB method (npj Computational Materials, 2025) [Paper]
BETE-NET Accelerating superconductor discovery through tempered deep learning of the electron-phonon spectral function (npj Computational Materials, 2025) [Paper] [Code]
Rep-CodeGen Code-Generated Graph Representations Using Multiple LLM Agents for Material Properties Prediction (ICML2025) [Paper]

Crystalline Material Synthesis

Method Paper
G-SchNet Symmetry-adapted generation of 3d point sets for the targeted discovery of molecules (NeurIPS2019) Paper(https://github.com/atomistic-machine-learning/G-SchNet)]
CubicGAN High-throughput discovery of novel cubic crystal materials using deep generative neural networks (Advanced Science, 2021) Paper(https://github.com/MilesZhao/CubicGAN)]
CDVAE Crystal Diffusion Variational Autoencoder for Periodic Material Generation (ICLR2022) Paper(https://github.com/txie-93/cdvae)]
LCOMs Latent Conservative Objective Models for Data-Driven Crystal Structure Prediction (NeurIPS2023 Workshop) [Paper]
DiffCSP Crystal structure prediction by joint equivariant diffusion on lattices and fractional coordinates (NeurIPS2023) Paper(https://github.com/jiaor17/DiffCSP)]
SyMat Towards symmetry-aware generation of periodic materials (NeurIPS2023) Paper(https://github.com/divelab/AIRS/tree/main/OpenMat/SyMat)]
EMPNN Equivariant Message Passing Neural Network for Crystal Material Discovery (AAAI2023) Paper(https://github.com/aklipf/pegnn)]
PGCGM Physics guided deep learning for generative design of crystal materials with symmetry constraints (npj Computational Materials, 2023) Paper(https://github.com/MilesZhao/PGCGM)]
PCVAE PCVAE: A Physics-informed Neural Network for Determining the Symmetry and Geometry of Crystals (IJCNN2023) Paper(https://github.com/zjuKeLiu/PCVAE)]
Govindarajan Behavioral Cloning for Crystal Design (ICLR2023 Workshop) Paper()]
CHGFlowNet Hierarchical GFlownet for Crystal Structure Generation (NeurIPS2023 Workshop) [Paper]
LM-CM,LM-AC Language models can generate molecules, materials, and protein binding sites directly in three dimensions as xyz, cif, and pdb files (Arxiv, 2023) Paper(https://github.com/danielflamshep/xyztransformer)]
SLI2Cry An invertible, invariant crystal representation for inverse design of solid-state materials using generative deep learning (Nature Communications, 2023) Paper(https://github.com/xiaohang007/SLICES/tree/main)]
GNoME Scaling deep learning for materials discovery (Nature, 2023) Paper(https://github.com/google-deepmind/materials_discovery)]
ipcsp Optimality guarantees for crystal structure prediction (Nature, 2023) Paper(https://github.com/lrcfmd/ipcsp)]
DiffCSP-SC Learning Superconductivity from Ordered and Disordered Material Structures (NeurIPS2024) Paper(https://github.com/pincher-chen/DiffCSP-SC)]
EquiCSP Equivariant Diffusion for Crystal Structure Prediction (ICML2024) Paper(https://github.com/EmperorJia/EquiCSP)]
GemsDiff Vector Field Oriented Diffusion Model for Crystal Material Generation (AAAI2024) Paper(https://github.com/aklipf/gemsdiff)]
UniMat Scalable Diffusion for Materials Generation (ICLR2024) Paper(https://unified-materials.github.io/unimat/)]
DiffCSP++ Space Group Constrained Crystal Generation (ICLR2024) Paper(https://github.com/jiaor17/DiffCSP-PP)]
FlowMM FlowMM: Generating Materials with Riemannian Flow Matching (ICML2024) Paper(https://github.com/facebookresearch/flowmm)]
CrystaLLM Crystal structure generation with autoregressive large language modeling (Nature Communications, 2024) Paper(https://github.com/lantunes/CrystaLLM)]
Con-CDVAE Con-CDVAE: A method for the conditional generation of crystal structures (Computational Materials Today, 2024) Paper(https://github.com/cyye001/Con-CDVAE)]
Cond-CDVAE Deep learning generative model for crystal structure prediction (npj Computational Materials, 2024) Paper(https://github.com/ixsluo/cond-cdvae)]
CrystalFormer Space Group Informed Transformer for Crystalline Materials Generation (Arxiv, 2024) Paper(https://github.com/deepmodeling/CrystalFormer)]
Gruver Fine-Tuned Language Models Generate Stable Inorganic Materials as Text (ICLR2024) Paper(https://github.com/facebookresearch/crystal-text-llm)]
FlowLLM FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions (NeurIPS2024) Paper(https://github.com/facebookresearch/flowmm)]
Mat2Seq Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation (NeurIPS2024) [Paper]
FlowDPO 3D Structure Prediction of Atomic Systems with Flow-Based Direct Preference Optimization (NeurIPS2024) [Paper]
GenMS Generative Hierarchical Materials Search (NeurIPS2024) [Paper]
ChemReasoner CHEMREASONER: Heuristic Search over a Large Language Model’s Knowledge Space using Quantum-Chemical Feedback (ICML2024) [Paper] [Code]
aΒ²c Predicting emergence of crystals from amorphous precursors with deep learning potentials (Nature Computational Science, 2024) Paper(https://github.com/jax-md/jax-md/tree/main/jax_md/a2c)]
- Rapid prediction of molecular crystal structures using simple topological and physical descriptors (Nature Communications, 2024) [Paper]
ShotgunCSP Shotgun crystal structure prediction using machine-learned formation energies (npj Computational Materials, 2024) [Paper] [Code]
MatterGen A generative model for inorganic materials design (Nature, 2025) Paper(https://github.com/microsoft/mattergen)]
SymmCD SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models (ICLR2025) Paper(https://github.com/sibasmarak/SymmCD)]
MatExpert MatExpert: Decomposing Materials Discovery By Mimicking Human Experts (ICLR2025) [Paper]
- Designing Mechanical Meta-Materials by Learning Equivariant Flows (ICLR2025) [Paper]
MOFFlow MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks (ICLR2025) [Paper]
TGDMat Periodic Materials Generation using Text-Guided Joint Diffusion Model (ICLR2025) [Paper]
CrysBFN A Periodic Bayesian Flow for Material Generation (ICLR2025) [Paper] [Code]
OSDAs OSDA Agent: Leveraging Large Language Models for De Novo Design of Organic Structure Directing Agents (ICLR2025) [Paper]
MAGUS Efficient crystal structure prediction based on the symmetry principle (Nature Computational Science, 2025) [Paper]
Target XXXI A robust crystal structure prediction method to support small molecule drug development with large scale validation and blind study (Nature Communications, 2025) [Paper]
active-csp Accelerating crystal structure search through active learning with neural networks for rapid relaxations (npj Computational Materials, 2025) Paper(https://github.com/stefaanhessmann/active-csp)]
Chemeleon Exploration of crystal chemical space using text-guided generative artificial intelligence (Nature Communications, 2025) Paper(https://github.com/hspark1212/chemeleon/)]
MAGECS Inverse design of promising electrocatalysts for CO2 reduction via generative models and bird swarm algorithm (Nature Communications, 2025) Paper(https://github.com/szl666/CO2RR-inverse-design)]
PGH-VAEs Inverse design of catalytic active sites via interpretable topology-based deep generative models (npj Computational Materials, 2025) [Paper] [Code]
WyFormer Wyckoff Transformer: Generation of Symmetric Crystals (ICML2025) [Paper]
KLDM Kinetic Langevin Diffusion for Crystalline Materials Generation (ICML2025) [Paper]
WyckoffDiff WyckoffDiff -- A Generative Diffusion Model for Crystal Symmetry (ICML2025) [Paper]
OMG Open Materials Generation with Stochastic Interpolants (ICML2025) [Paper]

Aiding Characterization

Method Paper
- Insightful classification of crystal structures using deep learning (Nature Communications, 2018) [Paper]
- Advanced steel microstructural classification by deep learning methods (Scientific Reports, 2018) [Paper]
- Neural network for nanoscience scanning electron microscope image recognition (Scientific Reports, 2017) [Paper]
- Deep Learning-Assisted Quantification of Atomic Dopants and Defects in 2D Materials (Advanced Science, 2021) [Paper]
- Classification of crystal structure using a convolutional neural network (IUCrJ,2017) [Paper]
- Synthesis, optical imaging, and absorption spectroscopy data for 179072 metal oxides (Scientific Data, 2019) [Paper]
- Adaptively driven X-ray diffraction guided by machine learning for autonomous phase identification (npj Computational Materials, 2023) Paper(https://github.com/njszym/AdaptiveXRD)]
- Automated classification of big X-ray diffraction data using deep learning models (npj Computational Materials, 2023) Paper(https://github.com/AGI-init/XRDs)]
XRD-AutoAnalyzer Integrated analysis of X-ray diffraction patterns and pair distribution functions for machine-learned phase identification (npj Computational Materials, 2024) Paper(https://github.com/njszym/XRD-AutoAnalyzer)]
CrystalNet Towards end-to-end structure determination from x-ray diffraction data using deep learning (npj Computational Materials, 2024) Paper(https://github.com/gabeguo/deep-crystallography-public)]
- Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model (NeurIPS2024) Paper(https://github.com/MasterAI-EAM/Material-Knowledge-Graph)]
MatDuck Zero-Shot Learning for Materials Science Texts: Leveraging Duck Typing Principles (AAAI2025) Paper(https://github.com/xinzcode/MatDuck)]
- Unsupervised identification of crystal defects from atomistic potential descriptors (npj Computational Materials, 2025) [Paper]
PAGL Learning to predict rare events: the case of abnormal grain growth (npj Computational Materials, 2025) [Paper]
PXRDnet Ab initio structure solutions from nanocrystalline powder diffraction data via diffusion models (Nature Materials, 2025) Paper(https://github.com/gabeguo/cdvae_xrd)]
SBC Automated identification of bulk structures, two-dimensional materials, and interfaces using symmetry-based clustering (npj Computational Materials, 2025) [Paper] [Code]

Accelerating Theoretical Computation

Method Paper
BPNN Generalized neural-network representation of high-dimensional potential-energy surfaces (Physical Review Letters, 2007) [Paper]
- Gaussian approximation potentials: The accuracy of quantum mechanics, without the electrons (Physical Review Letters, 2010) [Paper]
NequIP E (3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials (Nature Communications, 2022) Paper(https://github.com/mir-group/nequip)]
Cormorant Cormorant: Covariant molecular neural networks (NeurIPS2019) Paper(https://github.com/risilab/cormorant)]
MACE MACE: Higher order equivariant message passing neural networks for fast and accurate force fields (NeurIPS2022) Paper(https://github.com/ACEsuit/mace)]
DimeNet Directional Message Passing for Molecular Graphs (ICLR2020) Paper(https://github.com/gasteigerjo/dimenet)]
M3GNet A universal graph deep learning interatomic potential for the periodic table (Nature Computational Science, 2022) Paper(https://github.com/materialsvirtuallab/m3gnet)]
- Injecting domain knowledge from empirical interatomic potentials to neural networks for predicting material properties (NeurIPS2022) Paper(https://github.com/shuix007/EIP4NNPotentials)]
CHGNet CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling (Nature Machine Intelligence, 2023) Paper(https://github.com/CederGroupHub/chgnet)]
- Forces are not Enough: Benchmark and Critical Evaluation for Machine Learning Force Fields with Molecular Simulations (Transactions on Machine Learning Research, 2023) [Paper]
DeepH-E3 General framework for E (3)-equivariant neural network representation of density functional theory Hamiltonian (Nature Communications, 2023) [Paper] [Code]
AdsorbDiff AdsorbDiff: Adsorbate Placement via Conditional Denoising Diffusion (ICML2024) [Paper] [Code]
DeepRelax Scalable crystal structure relaxation using an iteration-free deep generative model with uncertainty quantification (Nature Communications, 2024) [Paper] [Code]
AssembleFlow AssembleFlow: Rigid Flow Matching with Inertial Frames for Molecular Assembly (ICLR2025) [Paper]
- Machine learning Hubbard parameters with equivariant neural networks (npj Computational Materials, 2025) [Paper] [Code]

Benchmark

Method Paper
MatBench Benchmarking materials property prediction methods: the Matbench test set and Automatminer reference algorithm (npj Computational Materials, 2020) Paper(https://github.com/materialsproject/matbench)]
MΒ² Hub MΒ²Hub: Unlocking the Potential of Machine Learning for Materials Discovery (NeurIPS2023) Paper(https://github.com/yuanqidu/M2Hub)]
JARVIS-Leaderboard JARVIS-Leaderboard: a large scale benchmark of materials design methods (npj Computational Materials, 2024) Paper(https://github.com/usnistgov/jarvis_leaderboard)]
- Structure-based out-of-distribution (OOD) materials property prediction: a benchmark study (npj Computational Materials, 2024) Paper(https://github.com/sadmanomee/OOD_Materials_Benchmark)]
SimXRD SimXRD-4M: Big Simulated X-ray Diffraction Data and Crystalline Symmetry Classification Benchmark (ICLR2025) [Paper] [Code]
ECD ECD: A Machine Learning Benchmark for Predicting Enhanced-Precision Electronic Charge Density in Crystalline Inorganic Materials (ICLR2025) [Paper]

Common Dataset

Dataset Description URL
Materials Project Materials Project encompasses over 120,000 materials, each accompanied by a comprehensive specification of its crystal structure and important physical properties. Materials Project
JARVIS-DFT JARVIS-DFT encompasses data for approximately 40,000 materials and includes around one million calculated properties. JARVIS-DFT
OQMD OQMD is a repository of thermodynamic and structural properties of inorganic materials, derived from high-throughput DFT calculations. OQMD
Perov-5 Perov-5 is a specialized dataset of perovskite crystal materials, containing 18,928 different perovskite materials. Perov-5
Carbon-24 Carbon-24 is a specialized dataset of carbon materials, containing over 10,000 different carbon structures. Carbon-24
Crystallography Open Database Crystallography Open Database is a crystallography database that specializes in collecting and storing crystal structure information for inorganic compounds, small organic molecules, metal-organic compounds, and minerals. Crystallography Open Database
Raman Open Database Raman Open Database is an open database that specializes in collecting and storing Raman spectroscopy data. Raman Open Database
Inorganic Crystal Structure Database Inorganic Crystal Structure Database is the world's largest database for completely identified inorganic crystal structures. Inorganic Crystal Structure Database
Open Catalyst Project The goal of Open Catalyst Project is to utilize artificial intelligence to simulate and discover new catalysts for renewable energy storage. Open Catalyst Project
Python Materials Genomics Python Materials Genomics is a robust, open-source Python library for materials analysis, offering a range of modules for handling crystal structures, band structures, phase diagrams, and material properties. Python Materials Genomics
Phonon DOS Dataset Phonon DOS Dataset contains approximately 1,500 crystalline materials whose phonon DOS is calculated from DFPT. Phonon DOS Dataset
Carolina Materials Database CMD primarily consists of ternary and quaternary materials generated by some AI methods. Carolina Materials Database
Alexandria Database Alexandria Database includes a large quantity of hypothetical crystal structures generated by ML methods or other algorithmic methodologies. Alexandria Database
Materials Project Trajectory Dataset MPtrj contains 1,580,395 atomic configurations, corresponding energies, 7,944,833 magnetic moments, 49,295,660 forces, and 14,223,555 stress values. Materials Project Trajectory Dataset
Quantum MOF QMOF is a dataset of over 20K metal-organic frameworks and coordination polymers derived from DFT. Quantum MOF
Open Materials 2024 OMat24 contains over 110 million DFT calculations focused on structural and compositional diversity. Open Materials 2024
SuperCon3D SuperCon3D contains 1,578 superconductor materials (includes 83 distinct elements), each with both Tc and crystal structure data. SuperCon3D
Atomly The Atomly database provides an extensive collection of material data generated through high-throughput first-principles calculations. This includes 320,000 inorganic crystal structures, 310,000 bandgap and density of states profiles, 12,000 dielectric constant tensors, and 16,000 mechanical tensors. Atomly

Source

Materials & Chemistry Datasets

# Awesome Materials & Chemistry Datasets

A curated list of the most useful datasets in materials science and chemistry for training machine learning and AI foundation models. This includes experimental, computational, and literature-mined datasetsβ€”prioritizing open-access resources and community contributions.

This project aims to: - Catalog the best datasets by domain, type, quality, and size - Support reproducible research in AI for chemistry and materials - Provide a community-driven resource with contributions from researchers and developers

Table of Contents

How to Use

  • Explore datasets by domain or data type using the tables below
  • Click the access links to explore or download the data
  • Sort/filter by quality, size, and suitability for ML models
  • Fork the repo and submit a pull request to add new datasets

Contributing

Want to add a new dataset or improve metadata?

  1. Fork the repository
  2. Edit the appropriate dataset list or add a new entry
  3. Submit a pull request with a brief description and source
  4. Use the following fields:
  5. Dataset Name
  6. Domain
  7. Type (Computational, Experimental, Literature-mined)
  8. Size
  9. Access (Open/Restricted/Proprietary)
  10. Format (JSON, CSV, CIF, HDF5, SMILES, etc.)
  11. License
  12. Access Link
  13. Notes or Use Cases

Datasets

Computational Datasets

Dataset Domain Size Type Format License Access
OMat24 (Meta) Inorganic crystals 110M DFT entries Computational JSON/HDF5 CC BY 4.0 Open
OMol25 (Meta) Molecular chemistry 100M+ DFT calculations Computational LMDB CC BY 4.0 Open
Materials Project (LBL) Inorganic crystals 500k+ compounds Computational JSON/API CC BY 4.0 Open
Open Catalyst 2020 (OC20) Catalysis (surfaces) 1.2M relaxations Computational JSON/HDF5 CC BY 4.0 Open
AFLOW Inorganic materials 3.5M materials Computational REST API Open Open
OQMD Inorganic solids 1M+ compounds Computational SQL/CSV Open Open
JARVIS-DFT (NIST) 3D/2D materials 40k+ entries Computational JSON/API Open Open
Carolina Materials DB Hypothetical crystals 214k structures Computational JSON CC BY 4.0 Open
NOMAD Various DFT/MD >19M calculations Computational JSON CC BY 4.0 Open
MatPES DFT Potential Energy Surfaces ~400,000 structures from 300K MD simulations Computational JSON Open
Vector-QM24 Small organic and inorganic molecules 836k conformational isomers Computational JSON Placeholder Open
AIMNet2 Dataset Non-metallic compounds 20M hybrid DFT calculations Computational JSON Open Open
RDB7 Barrier height and enthalpy for small organic reactions 12k CCSD(T)-F12 calculations Computational CSV Open Open
RDB19-Rad Ξ”G of activation and of reaction for organic reactions in 40 common solvents 5.6k DFT + COSMO-RS calculations Computational CSV Open Open
QCML Small molecules consisting of up to 8 heavy atoms 14.7B Semi-empirical + 33.5M DFT calculations Computational TFDS CC BY-NC 4.0 Open
QM9 Small organic molecules 134k molecules with quantum properties Experimental SDF/CSV CC BY 4.0 Open
QM7/QM7b Small molecules 7k molecules with atomization energies Experimental SDF/CSV CC BY 4.0 Open

Experimental Datasets

Dataset Domain Size Type Format License Access
Crystallography Open Database (COD) Crystal structures ~525k entries Experimental CIF/SMILES CC0 1.0 Open
NIST ICSD (subset) Inorganic structures ~290k structures Experimental CIF Proprietary Restricted
CSD (Cambridge) Organic crystals ~1.3M structures Experimental CIF Proprietary Restricted
opXRD Crystal structures 92552 (2179 labeled) Experimental JSON CC BY 4.0 Open
MDR SuperCon Superconductivity legacy superconductor database w/ material composition, structure, properties, and processes Mixed CC BY 4.0 Open
ChEMBL Bioactive molecules 2.3M+ compounds with bioactivity data Experimental JSON/SDF CC BY-SA 3.0 Open
MoleculeNet Molecular properties 700k+ compounds across 17 datasets Mixed CSV/SDF Various Open
ESOL Aqueous solubility 1,128 compounds with solubility data Experimental CSV Open Open
FreeSolv Hydration free energy 643 molecules with experimental data Experimental CSV CC BY 4.0 Open
Lipophilicity Octanol/water distribution 4,200 compounds with logD values Experimental CSV Open Open
PCBA Bioassay screening 400k+ compounds, 128 bioassays Experimental CSV Open Open
HIV Antiviral screening 41k compounds with HIV inhibition data Experimental CSV Open Open
BACE Beta-secretase inhibitors 1,522 compounds with IC50 data Experimental CSV Open Open
BBBP Blood-brain barrier permeability 2,053 compounds with permeability data Experimental CSV Open Open
Tox21 Toxicity screening 8k compounds, 12 toxicity targets Experimental CSV Open Open
ToxCast High-throughput toxicity 8k compounds, 600+ assays Experimental CSV Open Open
SIDER Drug side effects 1,427 drugs with adverse reactions Experimental CSV Open Open
ClinTox Clinical trial toxicity 1,491 compounds with FDA approval status Experimental CSV Open Open
PDBbind Protein-ligand binding 19k complexes with binding affinities Experimental PDB/SDF Open Open
BindingDB Protein-ligand binding 2.8M+ binding data points Experimental CSV/SDF CC BY 4.0 Open
ProtBENCH Drug-target interactions Protein family-specific datasets Experimental CSV GPL-3.0 Open
PDBench Protein sequence design 595 protein structures, 40 architectures Experimental PDB MIT Open
PDB-Struct Structure-based protein design Comprehensive protein design benchmark Experimental PDB Open Open

LLM Training Datasets

Dataset Domain Size Type Format License Access
ChemPile Chemistry 75B+ tokens LLM Training Mixed Open Open
SmolInstruct Small molecules 3.3M samples LLM Training JSON CC BY 4.0 Open
CAMEL Chemistry 20K problem-solution pairs LLM Training JSON Open Open
ChemNLP Chemistry Extensive, many combined datasets LLM Training JSON Open Open
ChemQA Chemistry Multimodal QA dataset LLM Training JSON Open Open
ChemLLMBench Chemistry 8 chemistry tasks benchmark LLM Training JSON Open Open
ChemistryQA Chemistry 4,500 questions across 200 topics LLM Training JSON Open Open
MaScQA Materials Science 640 QA pairs LLM Training XLSX Open Open
SciCode Research Coding in Physics, Math, Material Science, Biology, and Chemistry 338 subproblems LLM Training JSON Open Open
ChemData 700K Chemistry (9 core tasks) 730K Q-A instruction pairs LLM Training JSON CC BY-NC 4.0 Open
MatSci-Instruct (HoneyBee) Materials science β‰ˆ55K verified instructions LLM Training JSON CC BY 4.0 Open
MoleculeQA Molecular properties & safety 62K multiple-choice QA pairs LLM Training JSON MIT Open
BioInstruct 25K Biomedical / biochemistry 25K GPT-4 generated instructions LLM Training JSON MIT Open
Lab-Bench Biology 2,400+ questions for biology agents LLM Training JSON Open Open
ChemBench 4K Chemistry competency benchmark 4,100 single-choice questions LLM Training JSON CC BY-NC 4.0 Open
GPQA Diamond Biology, Physics, Chemistry 448 multiple-choice questions LLM Training JSON Open Open
SciAssess Scientific literature analysis Benchmark for LLMs in science LLM Training JSON Open Open
ZINC20-ML Drug-like molecules (SMILES) β‰ˆ1B molecules LLM Training SMILES ZINC License Open
PMC Open Access Subset Biomedical full-text 3.4M+ articles LLM Training XML Various CC Open
MatScholar Task-Schema QA (MatSci-NLP) Materials science (7 NLP tasks) Tens of thousands of examples LLM Training JSON CC BY 4.0 Open
Mol-Instructions Chemistry molecular, protein, and biochemical instructions LLM Training HuggingFace Dataset Open Open
USPTO-LLM Chemical reactions 247K reactions LLM Training JSON/Graph CC BY 4.0 Open

Literature-mined & Text Datasets

Dataset Domain Size Type Format License Access
PubChem Molecules & data 119M compounds Literature SMILES/SDF Public Domain Open
Open Reaction Database (ORD) Synthetic reactions ~1M reactions Experimental/Lit JSON CC BY 4.0 Open
PatCID (IBM) Chemical image data 81M images / 13M mols Literature PNG/SMILES Open Open
MatScholar NLP corpus (materials) 5M+ abstracts Literature JSON/Graph Open Open

Proprietary Datasets (for reference)

Dataset Domain Size Access Use Case Notes
CAS Registry Chemical substances 250M+ substances Proprietary Industry standard for molecule indexing
Reaxys (Elsevier) Reactions & properties Millions of reactions Proprietary Rich curated literature reaction data
Citrine Informatics DB Experimental materials Private Proprietary Materials ML platform w/ industry data
CSD (Cambridge) Organic crystals 1.3M+ Proprietary Gold-standard X-ray structures
PoLyInfo Polymers & properties 500k+ data points / Experimental Proprietary Polymer properties from literature sources

Dataset Resources

  • The Materials Data Facility - Over 100 TB of open materials data. #TODO list some of these in the tables above
  • Foundry-ML search Foundry - 61 structured datasets ready for download through a Python client #TODO list some of these in the tables above

TODO

  • Classify and add CRIPT for polymer data
  • Classify and add Polymer Genome and other datasets from Khazana
  • A dataset on solubilities of gases in polymers (15 000 experimental measurements of 79 gases' uptakes (0.01–50 wt%) in 102 different polymers, pressures from 1 Γ— 10βˆ’3 to 7 Γ— 102 bar and temperatures from 233 to 508 K, includes nearly 500 solvent–polymer systems). Optimized structures of various repeating units are included. Should it be of interest for you, it is available here: Data
  • Add Materials Cloud Datasets
  • Classify Atomly. A bit challenging with non-English
  • Look into adding NOMAD for experimental data as well
  • Review Alexandria Materials
  • Add A Quantum-Chemical Bonding Database for Solid-State Materials Part 1: https://zenodo.org/records/8091844 Part 2: https://zenodo.org/records/8092187
  • Add QM datasets. http://quantum-machine.org/datasets/
  • Find link for | ChemRxivQuest | Chemistry literature QA | 970 curated QA pairs | LLM Training | JSON | CC BY 4.0 | Open | ChemRxivQuest |
  • Find new link for USPTO-Reactions | USPTO Reactions | Organic reactions | 1.8M reactions | Literature | RXN/SMILES | Open | Open |

License

This project is licensed under the MIT License. Each dataset listed has its own license, noted in the table. Always check the source's license before using the data in your project.

Acknowledgements

Thanks to the open data and research communities including: - Meta AI FAIR - The Materials Data Facility / Foundry-ML - NIST JARVIS and Materials Project - LBL, MIT, CCDC, FIZ Karlsruhe - Contributors to Open Catalyst, PubChem, ORD, and AFLOW - Developers of open chemistry toolkits (RDKit, Open Babel)

Citation

If this repository was helpful in your work, feel free to cite or star the repo. You can also reference the underlying dataset publications linked above.

Source

  • in Python, ML
  • 164 min read

Best-of Machine Learning with Python

Best-of Machine Learning with Python

πŸ†  A ranked list of awesome machine learning Python libraries. Updated weekly.

This curated list contains 920 awesome open-source projects with a total of 5M stars grouped into 34 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an issue, submit a pull request, or directly edit the projects.yaml. Contributions are very welcome!

πŸ§™β€β™‚οΈ  Discover other best-of lists or create your own.
πŸ“«  Subscribe to our newsletter for updates and trending projects.

Contents

Explanation

  • πŸ₯‡πŸ₯ˆπŸ₯‰  Combined project-quality score
  • ⭐️  Star count from GitHub
  • 🐣  New project (less than 6 months old)
  • πŸ’€  Inactive project (6 months no activity)
  • πŸ’€  Dead project (12 months no activity)
  • πŸ“ˆπŸ“‰  Project is trending up or down
  • βž•  Project was recently added
  • ❗️  Warning (e.g. missing/risky license)
  • πŸ‘¨β€πŸ’»  Contributors count from GitHub
  • πŸ”€  Fork count from GitHub
  • πŸ“‹  Issue count from GitHub
  • ⏱️  Last update timestamp on package manager
  • πŸ“₯  Download count from package manager
  • πŸ“¦  Number of dependent projects
  •   Tensorflow related project
  •   Sklearn related project
  •   PyTorch related project
  •   MxNet related project
  •   Apache Spark related project
  •   Jupyter related project
  •   PaddlePaddle related project
  •   Pandas related project
  •   Jax related project


Machine Learning Frameworks

Back to top

General-purpose machine learning and deep learning frameworks.

Tensorflow (πŸ₯‡56 Β· ⭐ 190K) - An Open Source Machine Learning Framework for Everyone. Apache-2 - [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 4.9K Β· πŸ”€ 75K Β· πŸ“¦ 520K Β· πŸ“‹ 41K - 3% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/tensorflow/tensorflow
- [PyPi](https://pypi.org/project/tensorflow) (πŸ“₯ 22M / month Β· πŸ“¦ 8.9K Β· ⏱️ 12.03.2025): 
pip install tensorflow
- [Conda](https://anaconda.org/conda-forge/tensorflow) (πŸ“₯ 5.5M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge tensorflow
- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 80M Β· ⭐ 2.8K Β· ⏱️ 22.05.2025): 
docker pull tensorflow/tensorflow
PyTorch (πŸ₯‡55 Β· ⭐ 90K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 - [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 5.6K Β· πŸ”€ 24K Β· πŸ“₯ 88K Β· πŸ“¦ 780K Β· πŸ“‹ 52K - 31% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/pytorch/pytorch
- [PyPi](https://pypi.org/project/torch) (πŸ“₯ 49M / month Β· πŸ“¦ 25K Β· ⏱️ 23.04.2025): 
pip install torch
- [Conda](https://anaconda.org/pytorch/pytorch) (πŸ“₯ 27M Β· ⏱️ 25.03.2025): 
conda install -c pytorch pytorch
scikit-learn (πŸ₯‡53 Β· ⭐ 62K) - scikit-learn: machine learning in Python. BSD-3 - [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 3.3K Β· πŸ”€ 26K Β· πŸ“₯ 1.1K Β· πŸ“¦ 1.3M Β· πŸ“‹ 12K - 17% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/scikit-learn/scikit-learn
- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 100M / month Β· πŸ“¦ 30K Β· ⏱️ 09.05.2025): 
pip install scikit-learn
- [Conda](https://anaconda.org/conda-forge/scikit-learn) (πŸ“₯ 36M Β· ⏱️ 09.05.2025): 
conda install -c conda-forge scikit-learn
Keras (πŸ₯‡47 Β· ⭐ 63K) - Deep Learning for humans. Apache-2 - [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 20K Β· πŸ“‹ 13K - 2% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/keras-team/keras
- [PyPi](https://pypi.org/project/keras) (πŸ“₯ 16M / month Β· πŸ“¦ 1.9K Β· ⏱️ 19.05.2025): 
pip install keras
- [Conda](https://anaconda.org/conda-forge/keras) (πŸ“₯ 4.1M Β· ⏱️ 20.05.2025): 
conda install -c conda-forge keras
XGBoost (πŸ₯‡46 Β· ⭐ 27K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2 - [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 660 Β· πŸ”€ 8.8K Β· πŸ“₯ 16K Β· πŸ“¦ 160K Β· πŸ“‹ 5.5K - 8% open Β· ⏱️ 20.05.2025): 
git clone https://github.com/dmlc/xgboost
- [PyPi](https://pypi.org/project/xgboost) (πŸ“₯ 25M / month Β· πŸ“¦ 2.5K Β· ⏱️ 13.05.2025): 
pip install xgboost
- [Conda](https://anaconda.org/conda-forge/xgboost) (πŸ“₯ 6.1M Β· ⏱️ 15.05.2025): 
conda install -c conda-forge xgboost
jax (πŸ₯‡45 Β· ⭐ 32K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 - [GitHub](https://github.com/jax-ml/jax) (πŸ‘¨β€πŸ’» 880 Β· πŸ”€ 3K Β· πŸ“¦ 44K Β· πŸ“‹ 6.2K - 23% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/google/jax
- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 7.5M / month Β· πŸ“¦ 2.5K Β· ⏱️ 21.05.2025): 
pip install jax
- [Conda](https://anaconda.org/conda-forge/jaxlib) (πŸ“₯ 2.7M Β· ⏱️ 17.05.2025): 
conda install -c conda-forge jaxlib
PaddlePaddle (πŸ₯‡45 Β· ⭐ 23K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 5.7K Β· πŸ“₯ 15K Β· πŸ“¦ 8.2K Β· πŸ“‹ 20K - 9% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/PaddlePaddle/Paddle
- [PyPi](https://pypi.org/project/paddlepaddle) (πŸ“₯ 390K / month Β· πŸ“¦ 230 Β· ⏱️ 26.03.2025): 
pip install paddlepaddle
PySpark (πŸ₯ˆ44 Β· ⭐ 41K) - Apache Spark Python API. Apache-2 - [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 3.2K Β· πŸ”€ 29K Β· ⏱️ 22.05.2025): 
git clone https://github.com/apache/spark
- [PyPi](https://pypi.org/project/pyspark) (πŸ“₯ 46M / month Β· πŸ“¦ 1.9K Β· ⏱️ 27.02.2025): 
pip install pyspark
- [Conda](https://anaconda.org/conda-forge/pyspark) (πŸ“₯ 3.9M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pyspark
pytorch-lightning (πŸ₯ˆ43 Β· ⭐ 30K) - Pretrain, finetune ANY AI model of ANY size on.. Apache-2 - [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (πŸ‘¨β€πŸ’» 1K Β· πŸ”€ 3.5K Β· πŸ“₯ 13K Β· πŸ“¦ 46K Β· πŸ“‹ 7.3K - 12% open Β· ⏱️ 20.05.2025): 
git clone https://github.com/Lightning-AI/lightning
- [PyPi](https://pypi.org/project/pytorch-lightning) (πŸ“₯ 9.5M / month Β· πŸ“¦ 1.7K Β· ⏱️ 25.04.2025): 
pip install pytorch-lightning
- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (πŸ“₯ 1.5M Β· ⏱️ 28.04.2025): 
conda install -c conda-forge pytorch-lightning
StatsModels (πŸ₯ˆ43 Β· ⭐ 11K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 - [GitHub](https://github.com/statsmodels/statsmodels) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 3.1K Β· πŸ“₯ 35 Β· πŸ“¦ 170K Β· πŸ“‹ 5.7K - 50% open Β· ⏱️ 06.05.2025): 
git clone https://github.com/statsmodels/statsmodels
- [PyPi](https://pypi.org/project/statsmodels) (πŸ“₯ 17M / month Β· πŸ“¦ 4.5K Β· ⏱️ 03.10.2024): 
pip install statsmodels
- [Conda](https://anaconda.org/conda-forge/statsmodels) (πŸ“₯ 19M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge statsmodels
LightGBM (πŸ₯ˆ42 Β· ⭐ 17K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT - [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 3.9K Β· πŸ“₯ 290K Β· πŸ“¦ 53K Β· πŸ“‹ 3.6K - 12% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/microsoft/LightGBM
- [PyPi](https://pypi.org/project/lightgbm) (πŸ“₯ 11M / month Β· πŸ“¦ 1.4K Β· ⏱️ 15.02.2025): 
pip install lightgbm
- [Conda](https://anaconda.org/conda-forge/lightgbm) (πŸ“₯ 3.6M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge lightgbm
Catboost (πŸ₯ˆ42 Β· ⭐ 8.4K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2 - [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 1.2K Β· πŸ“₯ 390K Β· πŸ“¦ 18 Β· πŸ“‹ 2.4K - 25% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/catboost/catboost
- [PyPi](https://pypi.org/project/catboost) (πŸ“₯ 2.6M / month Β· πŸ“¦ 650 Β· ⏱️ 13.04.2025): 
pip install catboost
- [Conda](https://anaconda.org/conda-forge/catboost) (πŸ“₯ 2M Β· ⏱️ 19.05.2025): 
conda install -c conda-forge catboost
Fastai (πŸ₯ˆ41 Β· ⭐ 27K) - The fastai deep learning library. Apache-2 - [GitHub](https://github.com/fastai/fastai) (πŸ‘¨β€πŸ’» 670 Β· πŸ”€ 7.6K Β· πŸ“¦ 23K Β· πŸ“‹ 1.8K - 13% open Β· ⏱️ 19.04.2025): 
git clone https://github.com/fastai/fastai
- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 610K / month Β· πŸ“¦ 330 Β· ⏱️ 18.04.2025): 
pip install fastai
PyFlink (πŸ₯ˆ40 Β· ⭐ 25K) - Apache Flink Python API. Apache-2 - [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 2K Β· πŸ”€ 14K Β· πŸ“¦ 21 Β· ⏱️ 22.05.2025): 
git clone https://github.com/apache/flink
- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 7.2M / month Β· πŸ“¦ 35 Β· ⏱️ 12.02.2025): 
pip install apache-flink
einops (πŸ₯ˆ37 Β· ⭐ 8.9K) - Flexible and powerful tensor operations for readable and reliable code.. MIT - [GitHub](https://github.com/arogozhnikov/einops) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 360 Β· πŸ“¦ 76K Β· πŸ“‹ 200 - 17% open Β· ⏱️ 25.04.2025): 
git clone https://github.com/arogozhnikov/einops
- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 9.6M / month Β· πŸ“¦ 2.6K Β· ⏱️ 09.02.2025): 
pip install einops
- [Conda](https://anaconda.org/conda-forge/einops) (πŸ“₯ 380K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge einops
Flax (πŸ₯ˆ37 Β· ⭐ 6.6K) - Flax is a neural network library for JAX that is designed for.. Apache-2 - [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 690 Β· πŸ“₯ 61 Β· πŸ“¦ 14K Β· πŸ“‹ 1.2K - 33% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/google/flax
- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 1.5M / month Β· πŸ“¦ 610 Β· ⏱️ 23.04.2025): 
pip install flax
- [Conda](https://anaconda.org/conda-forge/flax) (πŸ“₯ 100K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge flax
Ignite (πŸ₯ˆ37 Β· ⭐ 4.7K) - High-level library to help with training and evaluating neural.. BSD-3 - [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 860 Β· πŸ”€ 650 Β· πŸ“¦ 3.8K Β· πŸ“‹ 1.4K - 10% open Β· ⏱️ 07.05.2025): 
git clone https://github.com/pytorch/ignite
- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 180K / month Β· πŸ“¦ 110 Β· ⏱️ 22.05.2025): 
pip install pytorch-ignite
- [Conda](https://anaconda.org/pytorch/ignite) (πŸ“₯ 230K Β· ⏱️ 30.03.2025): 
conda install -c pytorch ignite
Jina (πŸ₯ˆ35 Β· ⭐ 22K) - Build multimodal AI applications with cloud-native stack. Apache-2 - [GitHub](https://github.com/jina-ai/serve) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 2.2K Β· πŸ“‹ 1.9K - 0% open Β· ⏱️ 24.03.2025): 
git clone https://github.com/jina-ai/jina
- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 46K / month Β· πŸ“¦ 29 Β· ⏱️ 24.03.2025): 
pip install jina
- [Conda](https://anaconda.org/conda-forge/jina-core) (πŸ“₯ 95K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge jina-core
- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (πŸ“₯ 1.8M Β· ⭐ 8 Β· ⏱️ 24.03.2025): 
docker pull jinaai/jina
Thinc (πŸ₯ˆ34 Β· ⭐ 2.8K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT - [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 280 Β· πŸ“₯ 1.3K Β· πŸ“¦ 68K Β· πŸ“‹ 150 - 12% open Β· ⏱️ 07.03.2025): 
git clone https://github.com/explosion/thinc
- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 18M / month Β· πŸ“¦ 160 Β· ⏱️ 04.04.2025): 
pip install thinc
- [Conda](https://anaconda.org/conda-forge/thinc) (πŸ“₯ 3.5M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge thinc
ivy (πŸ₯ˆ33 Β· ⭐ 14K) - Convert Machine Learning Code Between Frameworks. Apache-2 - [GitHub](https://github.com/ivy-llc/ivy) (πŸ‘¨β€πŸ’» 1.5K Β· πŸ”€ 5.7K Β· πŸ“‹ 17K - 5% open Β· ⏱️ 29.04.2025): 
git clone https://github.com/unifyai/ivy
- [PyPi](https://pypi.org/project/ivy) (πŸ“₯ 21K / month Β· πŸ“¦ 16 Β· ⏱️ 21.02.2025): 
pip install ivy
Vowpal Wabbit (πŸ₯ˆ33 Β· ⭐ 8.6K Β· πŸ’€) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3 - [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 1.9K Β· πŸ“¦ 2 Β· πŸ“‹ 1.3K - 10% open Β· ⏱️ 01.08.2024): 
git clone https://github.com/VowpalWabbit/vowpal_wabbit
- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 22K / month Β· πŸ“¦ 40 Β· ⏱️ 08.08.2024): 
pip install vowpalwabbit
- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (πŸ“₯ 360K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge vowpalwabbit
mlpack (πŸ₯ˆ33 Β· ⭐ 5.4K) - mlpack: a fast, header-only C++ machine learning library. BSD-3 - [GitHub](https://github.com/mlpack/mlpack) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 1.7K Β· πŸ“‹ 1.7K - 1% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/mlpack/mlpack
- [PyPi](https://pypi.org/project/mlpack) (πŸ“₯ 4.3K / month Β· πŸ“¦ 6 Β· ⏱️ 15.05.2025): 
pip install mlpack
- [Conda](https://anaconda.org/conda-forge/mlpack) (πŸ“₯ 360K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge mlpack
Ludwig (πŸ₯‰32 Β· ⭐ 11K Β· πŸ’€) - Low-code framework for building custom LLMs, neural networks,.. Apache-2 - [GitHub](https://github.com/ludwig-ai/ludwig) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.2K Β· πŸ“¦ 310 Β· πŸ“‹ 1.1K - 4% open Β· ⏱️ 17.10.2024): 
git clone https://github.com/ludwig-ai/ludwig
- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 1.4K / month Β· πŸ“¦ 6 Β· ⏱️ 30.07.2024): 
pip install ludwig
Sonnet (πŸ₯‰32 Β· ⭐ 9.8K) - TensorFlow-based neural network library. Apache-2 - [GitHub](https://github.com/google-deepmind/sonnet) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 1.3K Β· πŸ“¦ 1.4K Β· πŸ“‹ 190 - 16% open Β· ⏱️ 14.02.2025): 
git clone https://github.com/deepmind/sonnet
- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 19K / month Β· πŸ“¦ 19 Β· ⏱️ 02.01.2024): 
pip install dm-sonnet
- [Conda](https://anaconda.org/conda-forge/sonnet) (πŸ“₯ 43K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge sonnet
skorch (πŸ₯‰32 Β· ⭐ 6K) - A scikit-learn compatible neural network library that wraps.. BSD-3 - [GitHub](https://github.com/skorch-dev/skorch) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 390 Β· πŸ“¦ 1.7K Β· πŸ“‹ 540 - 12% open Β· ⏱️ 24.04.2025): 
git clone https://github.com/skorch-dev/skorch
- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 110K / month Β· πŸ“¦ 94 Β· ⏱️ 10.01.2025): 
pip install skorch
- [Conda](https://anaconda.org/conda-forge/skorch) (πŸ“₯ 800K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge skorch
tensorflow-upstream (πŸ₯‰32 Β· ⭐ 690) - TensorFlow ROCm port. Apache-2 - [GitHub](https://github.com/ROCm/tensorflow-upstream) (πŸ‘¨β€πŸ’» 4.9K Β· πŸ”€ 99 Β· πŸ“₯ 29 Β· πŸ“‹ 390 - 4% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream
- [PyPi](https://pypi.org/project/tensorflow-rocm) (πŸ“₯ 12K / month Β· πŸ“¦ 9 Β· ⏱️ 10.01.2024): 
pip install tensorflow-rocm
Haiku (πŸ₯‰31 Β· ⭐ 3K) - JAX-based neural network library. Apache-2 - [GitHub](https://github.com/google-deepmind/dm-haiku) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 250 Β· πŸ“¦ 2.5K Β· πŸ“‹ 250 - 29% open Β· ⏱️ 01.05.2025): 
git clone https://github.com/deepmind/dm-haiku
- [PyPi](https://pypi.org/project/dm-haiku) (πŸ“₯ 220K / month Β· πŸ“¦ 190 Β· ⏱️ 22.04.2025): 
pip install dm-haiku
- [Conda](https://anaconda.org/conda-forge/dm-haiku) (πŸ“₯ 34K Β· ⏱️ 23.04.2025): 
conda install -c conda-forge dm-haiku
Determined (πŸ₯‰29 Β· ⭐ 3.1K) - Determined is an open-source machine learning platform.. Apache-2 - [GitHub](https://github.com/determined-ai/determined) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 360 Β· πŸ“₯ 13K Β· πŸ“‹ 450 - 22% open Β· ⏱️ 20.03.2025): 
git clone https://github.com/determined-ai/determined
- [PyPi](https://pypi.org/project/determined) (πŸ“₯ 200K / month Β· πŸ“¦ 4 Β· ⏱️ 19.03.2025): 
pip install determined
Geomstats (πŸ₯‰28 Β· ⭐ 1.4K) - Computations and statistics on manifolds with geometric structures. MIT - [GitHub](https://github.com/geomstats/geomstats) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 250 Β· πŸ“¦ 140 Β· πŸ“‹ 570 - 36% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/geomstats/geomstats
- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 5K / month Β· πŸ“¦ 12 Β· ⏱️ 09.09.2024): 
pip install geomstats
- [Conda](https://anaconda.org/conda-forge/geomstats) (πŸ“₯ 6.5K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge geomstats
NuPIC (πŸ₯‰27 Β· ⭐ 6.3K) - Numenta Platform for Intelligent Computing is an implementation of.. MIT - [GitHub](https://github.com/numenta/nupic-legacy) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.6K Β· πŸ“₯ 22 Β· πŸ“¦ 21 Β· πŸ“‹ 1.8K - 25% open Β· ⏱️ 03.12.2024): 
git clone https://github.com/numenta/nupic
- [PyPi](https://pypi.org/project/nupic) (πŸ“₯ 930 / month Β· ⏱️ 01.09.2016): 
pip install nupic
pyRiemann (πŸ₯‰27 Β· ⭐ 680) - Machine learning for multivariate data through the Riemannian.. BSD-3 - [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 170 Β· πŸ“¦ 470 Β· πŸ“‹ 110 - 2% open Β· ⏱️ 19.05.2025): 
git clone https://github.com/pyRiemann/pyRiemann
- [PyPi](https://pypi.org/project/pyriemann) (πŸ“₯ 51K / month Β· πŸ“¦ 28 Β· ⏱️ 12.02.2025): 
pip install pyriemann
- [Conda](https://anaconda.org/conda-forge/pyriemann) (πŸ“₯ 13K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pyriemann
Neural Network Libraries (πŸ₯‰26 Β· ⭐ 2.7K) - Neural Network Libraries. Apache-2 - [GitHub](https://github.com/sony/nnabla) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 330 Β· πŸ“₯ 1K Β· πŸ“‹ 95 - 36% open Β· ⏱️ 15.11.2024): 
git clone https://github.com/sony/nnabla
- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 5.1K / month Β· πŸ“¦ 44 Β· ⏱️ 29.05.2024): 
pip install nnabla
ktrain (πŸ₯‰26 Β· ⭐ 1.3K Β· πŸ’€) - ktrain is a Python library that makes deep learning and AI.. Apache-2 - [GitHub](https://github.com/amaiya/ktrain) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 270 Β· πŸ“¦ 570 Β· πŸ“‹ 500 - 0% open Β· ⏱️ 09.07.2024): 
git clone https://github.com/amaiya/ktrain
- [PyPi](https://pypi.org/project/ktrain) (πŸ“₯ 5.4K / month Β· πŸ“¦ 4 Β· ⏱️ 19.06.2024): 
pip install ktrain
fklearn (πŸ₯‰24 Β· ⭐ 1.5K) - fklearn: Functional Machine Learning. Apache-2 - [GitHub](https://github.com/nubank/fklearn) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 170 Β· πŸ“¦ 16 Β· πŸ“‹ 64 - 60% open Β· ⏱️ 23.04.2025): 
git clone https://github.com/nubank/fklearn
- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 1.4K / month Β· ⏱️ 26.02.2025): 
pip install fklearn
Towhee (πŸ₯‰23 Β· ⭐ 3.4K Β· πŸ’€) - Towhee is a framework that is dedicated to making neural data.. Apache-2 - [GitHub](https://github.com/towhee-io/towhee) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 260 Β· πŸ“₯ 2.7K Β· πŸ“‹ 670 - 0% open Β· ⏱️ 18.10.2024): 
git clone https://github.com/towhee-io/towhee
- [PyPi](https://pypi.org/project/towhee) (πŸ“₯ 4.5K / month Β· ⏱️ 04.12.2023): 
pip install towhee
Runhouse (πŸ₯‰22 Β· ⭐ 1K) - Distribute and run AI workloads magically in Python, like PyTorch for.. Apache-2 - [GitHub](https://github.com/run-house/runhouse) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 36 Β· πŸ“₯ 69 Β· πŸ“‹ 51 - 17% open Β· ⏱️ 03.04.2025): 
git clone https://github.com/run-house/runhouse
- [PyPi](https://pypi.org/project/runhouse) (πŸ“₯ 19K / month Β· πŸ“¦ 1 Β· ⏱️ 10.03.2025): 
pip install runhouse
chefboost (πŸ₯‰20 Β· ⭐ 480) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT - [GitHub](https://github.com/serengil/chefboost) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 100 Β· πŸ“¦ 71 Β· ⏱️ 31.03.2025): 
git clone https://github.com/serengil/chefboost
- [PyPi](https://pypi.org/project/chefboost) (πŸ“₯ 4.5K / month Β· ⏱️ 30.10.2024): 
pip install chefboost
NeoML (πŸ₯‰19 Β· ⭐ 780) - Machine learning framework for both deep learning and traditional.. Apache-2 - [GitHub](https://github.com/neoml-lib/neoml) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 130 Β· πŸ“¦ 2 Β· πŸ“‹ 91 - 40% open Β· ⏱️ 03.05.2025): 
git clone https://github.com/neoml-lib/neoml
- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 690 / month Β· ⏱️ 26.12.2023): 
pip install neoml
ThunderGBM (πŸ₯‰18 Β· ⭐ 700) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2 - [GitHub](https://github.com/Xtra-Computing/thundergbm) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 87 Β· πŸ“¦ 4 Β· πŸ“‹ 81 - 48% open Β· ⏱️ 19.03.2025): 
git clone https://github.com/Xtra-Computing/thundergbm
- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 180 / month Β· ⏱️ 19.09.2022): 
pip install thundergbm
Show 24 hidden projects... - dlib (πŸ₯ˆ40 Β· ⭐ 14K) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0 - MXNet (πŸ₯ˆ39 Β· ⭐ 21K Β· πŸ’€) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. Apache-2 - Theano (πŸ₯ˆ38 Β· ⭐ 9.9K Β· πŸ’€) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 - Chainer (πŸ₯ˆ34 Β· ⭐ 5.9K Β· πŸ’€) - A flexible framework of neural networks for deep learning. MIT - MindsDB (πŸ₯ˆ33 Β· ⭐ 29K) - AIs query engine - Platform for building AI that can learn and.. ❗️ICU - tensorpack (πŸ₯ˆ33 Β· ⭐ 6.3K Β· πŸ’€) - A Neural Net Training Interface on TensorFlow, with.. Apache-2 - Turi Create (πŸ₯‰32 Β· ⭐ 11K Β· πŸ’€) - Turi Create simplifies the development of custom machine.. BSD-3 - TFlearn (πŸ₯‰31 Β· ⭐ 9.6K Β· πŸ’€) - Deep learning library featuring a higher-level API for TensorFlow. MIT - dyNET (πŸ₯‰31 Β· ⭐ 3.4K Β· πŸ’€) - DyNet: The Dynamic Neural Network Toolkit. Apache-2 - CNTK (πŸ₯‰29 Β· ⭐ 18K Β· πŸ’€) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT - Lasagne (πŸ₯‰28 Β· ⭐ 3.9K Β· πŸ’€) - Lightweight library to build and train neural networks in Theano. MIT - SHOGUN (πŸ₯‰27 Β· ⭐ 3K Β· πŸ’€) - Unified and efficient Machine Learning. BSD-3 - EvaDB (πŸ₯‰27 Β· ⭐ 2.7K Β· πŸ’€) - Database system for AI-powered apps. Apache-2 - xLearn (πŸ₯‰25 Β· ⭐ 3.1K Β· πŸ’€) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2 - NeuPy (πŸ₯‰25 Β· ⭐ 740 Β· πŸ’€) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT - neon (πŸ₯‰23 Β· ⭐ 3.9K Β· πŸ’€) - Intel Nervana reference deep learning framework committed to best.. Apache-2 - ThunderSVM (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2 - mace (πŸ₯‰21 Β· ⭐ 5K Β· πŸ’€) - MACE is a deep learning inference framework optimized for mobile.. Apache-2 - Neural Tangents (πŸ₯‰21 Β· ⭐ 2.3K Β· πŸ’€) - Fast and Easy Infinite Neural Networks in Python. Apache-2 - Torchbearer (πŸ₯‰21 Β· ⭐ 640 Β· πŸ’€) - torchbearer: A model fitting library for PyTorch. MIT - Objax (πŸ₯‰19 Β· ⭐ 770 Β· πŸ’€) - Objax is a machine learning framework that provides an Object.. Apache-2 - elegy (πŸ₯‰19 Β· ⭐ 480 Β· πŸ’€) - A High Level API for Deep Learning in JAX. MIT - StarSpace (πŸ₯‰16 Β· ⭐ 4K Β· πŸ’€) - Learning embeddings for classification, retrieval and ranking. MIT - nanodl (πŸ₯‰13 Β· ⭐ 290 Β· πŸ’€) - A Jax-based library for building transformers, includes.. MIT


Data Visualization

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General-purpose and task-specific data visualization libraries.

Matplotlib (πŸ₯‡49 Β· ⭐ 21K) - matplotlib: plotting with Python. ❗Unlicensed - [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.8K Β· πŸ”€ 7.9K Β· πŸ“¦ 1.8M Β· πŸ“‹ 11K - 14% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/matplotlib/matplotlib
- [PyPi](https://pypi.org/project/matplotlib) (πŸ“₯ 87M / month Β· πŸ“¦ 60K Β· ⏱️ 08.05.2025): 
pip install matplotlib
- [Conda](https://anaconda.org/conda-forge/matplotlib) (πŸ“₯ 30M Β· ⏱️ 15.05.2025): 
conda install -c conda-forge matplotlib
dash (πŸ₯‡46 Β· ⭐ 22K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT - [GitHub](https://github.com/plotly/dash) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 2.1K Β· πŸ“₯ 88 Β· πŸ“¦ 86K Β· πŸ“‹ 2K - 27% open Β· ⏱️ 06.05.2025): 
git clone https://github.com/plotly/dash
- [PyPi](https://pypi.org/project/dash) (πŸ“₯ 5.1M / month Β· πŸ“¦ 1.6K Β· ⏱️ 24.04.2025): 
pip install dash
- [Conda](https://anaconda.org/conda-forge/dash) (πŸ“₯ 1.8M Β· ⏱️ 27.04.2025): 
conda install -c conda-forge dash
Plotly (πŸ₯‡46 Β· ⭐ 17K) - The interactive graphing library for Python. MIT - [GitHub](https://github.com/plotly/plotly.py) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 2.6K Β· πŸ“₯ 240 Β· πŸ“¦ 430K Β· πŸ“‹ 3.2K - 20% open Β· ⏱️ 20.05.2025): 
git clone https://github.com/plotly/plotly.py
- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 24M / month Β· πŸ“¦ 8.3K Β· ⏱️ 20.05.2025): 
pip install plotly
- [Conda](https://anaconda.org/conda-forge/plotly) (πŸ“₯ 9.6M Β· ⏱️ 21.05.2025): 
conda install -c conda-forge plotly
- [npm](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 44K / month Β· πŸ“¦ 9 Β· ⏱️ 12.01.2021): 
npm install plotlywidget
Bokeh (πŸ₯‡45 Β· ⭐ 20K) - Interactive Data Visualization in the browser, from Python. BSD-3 - [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 710 Β· πŸ”€ 4.2K Β· πŸ“¦ 100K Β· πŸ“‹ 8K - 10% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/bokeh/bokeh
- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 3.4M / month Β· πŸ“¦ 2K Β· ⏱️ 12.05.2025): 
pip install bokeh
- [Conda](https://anaconda.org/conda-forge/bokeh) (πŸ“₯ 17M Β· ⏱️ 12.05.2025): 
conda install -c conda-forge bokeh
Seaborn (πŸ₯‡43 Β· ⭐ 13K Β· πŸ“ˆ) - Statistical data visualization in Python. BSD-3 - [GitHub](https://github.com/mwaskom/seaborn) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 1.9K Β· πŸ“₯ 470 Β· πŸ“¦ 670K Β· πŸ“‹ 2.6K - 6% open Β· ⏱️ 26.01.2025): 
git clone https://github.com/mwaskom/seaborn
- [PyPi](https://pypi.org/project/seaborn) (πŸ“₯ 24M / month Β· πŸ“¦ 11K Β· ⏱️ 25.01.2024): 
pip install seaborn
- [Conda](https://anaconda.org/conda-forge/seaborn) (πŸ“₯ 13M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge seaborn
Altair (πŸ₯‡40 Β· ⭐ 9.8K Β· πŸ“‰) - Declarative visualization library for Python. BSD-3 - [GitHub](https://github.com/vega/altair) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 800 Β· πŸ“₯ 230 Β· πŸ“¦ 230K Β· πŸ“‹ 2.1K - 6% open Β· ⏱️ 22.04.2025): 
git clone https://github.com/altair-viz/altair
- [PyPi](https://pypi.org/project/altair) (πŸ“₯ 29M / month Β· πŸ“¦ 920 Β· ⏱️ 23.11.2024): 
pip install altair
- [Conda](https://anaconda.org/conda-forge/altair) (πŸ“₯ 2.7M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge altair
FiftyOne (πŸ₯ˆ39 Β· ⭐ 9.5K) - Visualize, create, and debug image and video datasets.. Apache-2 - [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 630 Β· πŸ“¦ 980 Β· πŸ“‹ 1.7K - 33% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/voxel51/fiftyone
- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 110K / month Β· πŸ“¦ 27 Β· ⏱️ 09.05.2025): 
pip install fiftyone
PyVista (πŸ₯ˆ39 Β· ⭐ 3.1K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT - [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 560 Β· πŸ“₯ 890 Β· πŸ“¦ 4.8K Β· πŸ“‹ 1.9K - 36% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/pyvista/pyvista
- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 470K / month Β· πŸ“¦ 710 Β· ⏱️ 13.05.2025): 
pip install pyvista
- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 690K Β· ⏱️ 13.05.2025): 
conda install -c conda-forge pyvista
pandas-profiling (πŸ₯ˆ38 Β· ⭐ 13K) - 1 Line of code data quality profiling & exploratory.. MIT - [GitHub](https://github.com/ydataai/ydata-profiling) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.7K Β· πŸ“₯ 320 Β· πŸ“¦ 6.6K Β· πŸ“‹ 840 - 30% open Β· ⏱️ 26.03.2025): 
git clone https://github.com/ydataai/pandas-profiling
- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 360K / month Β· πŸ“¦ 180 Β· ⏱️ 03.02.2023): 
pip install pandas-profiling
- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (πŸ“₯ 510K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pandas-profiling
HoloViews (πŸ₯ˆ38 Β· ⭐ 2.8K Β· πŸ“ˆ) - With Holoviews, your data visualizes itself. BSD-3 - [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 410 Β· πŸ“¦ 16K Β· πŸ“‹ 3.4K - 31% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/holoviz/holoviews
- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 500K / month Β· πŸ“¦ 430 Β· ⏱️ 31.03.2025): 
pip install holoviews
- [Conda](https://anaconda.org/conda-forge/holoviews) (πŸ“₯ 2.1M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge holoviews
- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 170 / month Β· πŸ“¦ 5 Β· ⏱️ 14.01.2025): 
npm install @pyviz/jupyterlab_pyviz
pyecharts (πŸ₯ˆ37 Β· ⭐ 15K) - Python Echarts Plotting Library. MIT - [GitHub](https://github.com/pyecharts/pyecharts) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 2.9K Β· πŸ“₯ 73 Β· πŸ“¦ 5.4K Β· πŸ“‹ 1.9K - 0% open Β· ⏱️ 26.01.2025): 
git clone https://github.com/pyecharts/pyecharts
- [PyPi](https://pypi.org/project/pyecharts) (πŸ“₯ 250K / month Β· πŸ“¦ 220 Β· ⏱️ 24.01.2025): 
pip install pyecharts
PyQtGraph (πŸ₯ˆ37 Β· ⭐ 4.1K) - Fast data visualization and GUI tools for scientific / engineering.. MIT - [GitHub](https://github.com/pyqtgraph/pyqtgraph) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.1K Β· πŸ“¦ 12K Β· πŸ“‹ 1.4K - 32% open Β· ⏱️ 08.04.2025): 
git clone https://github.com/pyqtgraph/pyqtgraph
- [PyPi](https://pypi.org/project/pyqtgraph) (πŸ“₯ 400K / month Β· πŸ“¦ 1K Β· ⏱️ 29.04.2024): 
pip install pyqtgraph
- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (πŸ“₯ 710K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pyqtgraph
plotnine (πŸ₯ˆ36 Β· ⭐ 4.2K) - A Grammar of Graphics for Python. MIT - [GitHub](https://github.com/has2k1/plotnine) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 230 Β· πŸ“¦ 12K Β· πŸ“‹ 720 - 10% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/has2k1/plotnine
- [PyPi](https://pypi.org/project/plotnine) (πŸ“₯ 2.5M / month Β· πŸ“¦ 380 Β· ⏱️ 19.05.2025): 
pip install plotnine
- [Conda](https://anaconda.org/conda-forge/plotnine) (πŸ“₯ 470K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge plotnine
Graphviz (πŸ₯ˆ36 Β· ⭐ 1.7K Β· πŸ’€) - Simple Python interface for Graphviz. MIT - [GitHub](https://github.com/xflr6/graphviz) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 210 Β· πŸ“¦ 91K Β· πŸ“‹ 190 - 6% open Β· ⏱️ 13.05.2024): 
git clone https://github.com/xflr6/graphviz
- [PyPi](https://pypi.org/project/graphviz) (πŸ“₯ 24M / month Β· πŸ“¦ 2.9K Β· ⏱️ 21.03.2024): 
pip install graphviz
- [Conda](https://anaconda.org/anaconda/python-graphviz) (πŸ“₯ 54K Β· ⏱️ 22.04.2025): 
conda install -c anaconda python-graphviz
VisPy (πŸ₯ˆ35 Β· ⭐ 3.4K) - High-performance interactive 2D/3D data visualization library. BSD-3 - [GitHub](https://github.com/vispy/vispy) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 620 Β· πŸ“¦ 2K Β· πŸ“‹ 1.5K - 25% open Β· ⏱️ 20.05.2025): 
git clone https://github.com/vispy/vispy
- [PyPi](https://pypi.org/project/vispy) (πŸ“₯ 160K / month Β· πŸ“¦ 200 Β· ⏱️ 19.05.2025): 
pip install vispy
- [Conda](https://anaconda.org/conda-forge/vispy) (πŸ“₯ 810K Β· ⏱️ 19.05.2025): 
conda install -c conda-forge vispy
- [npm](https://www.npmjs.com/package/vispy) (πŸ“₯ 21 / month Β· πŸ“¦ 3 Β· ⏱️ 15.03.2020): 
npm install vispy
Perspective (πŸ₯ˆ34 Β· ⭐ 9.2K) - A data visualization and analytics component, especially.. Apache-2 - [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.2K Β· πŸ“₯ 11K Β· πŸ“¦ 180 Β· πŸ“‹ 880 - 12% open Β· ⏱️ 15.05.2025): 
git clone https://github.com/finos/perspective
- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 18K / month Β· πŸ“¦ 30 Β· ⏱️ 01.05.2025): 
pip install perspective-python
- [Conda](https://anaconda.org/conda-forge/perspective) (πŸ“₯ 2.1M Β· ⏱️ 07.05.2025): 
conda install -c conda-forge perspective
- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 360 / month Β· πŸ“¦ 6 Β· ⏱️ 01.05.2025): 
npm install @finos/perspective-jupyterlab
cartopy (πŸ₯ˆ34 Β· ⭐ 1.5K) - Cartopy - a cartographic python library with matplotlib support. BSD-3 - [GitHub](https://github.com/SciTools/cartopy) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 380 Β· πŸ“¦ 7.6K Β· πŸ“‹ 1.3K - 24% open Β· ⏱️ 15.05.2025): 
git clone https://github.com/SciTools/cartopy
- [PyPi](https://pypi.org/project/cartopy) (πŸ“₯ 520K / month Β· πŸ“¦ 720 Β· ⏱️ 08.10.2024): 
pip install cartopy
- [Conda](https://anaconda.org/conda-forge/cartopy) (πŸ“₯ 4.8M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge cartopy
UMAP (πŸ₯ˆ33 Β· ⭐ 7.8K) - Uniform Manifold Approximation and Projection. BSD-3 - [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 830 Β· πŸ“¦ 1 Β· πŸ“‹ 850 - 59% open Β· ⏱️ 12.05.2025): 
git clone https://github.com/lmcinnes/umap
- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 1.5M / month Β· πŸ“¦ 1.1K Β· ⏱️ 28.10.2024): 
pip install umap-learn
- [Conda](https://anaconda.org/conda-forge/umap-learn) (πŸ“₯ 3M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge umap-learn
datashader (πŸ₯ˆ33 Β· ⭐ 3.4K) - Quickly and accurately render even the largest data. BSD-3 - [GitHub](https://github.com/holoviz/datashader) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 370 Β· πŸ“¦ 6.1K Β· πŸ“‹ 600 - 23% open Β· ⏱️ 08.05.2025): 
git clone https://github.com/holoviz/datashader
- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 180K / month Β· πŸ“¦ 250 Β· ⏱️ 08.05.2025): 
pip install datashader
- [Conda](https://anaconda.org/conda-forge/datashader) (πŸ“₯ 1.5M Β· ⏱️ 08.05.2025): 
conda install -c conda-forge datashader
lets-plot (πŸ₯ˆ33 Β· ⭐ 1.7K) - Multiplatform plotting library based on the Grammar of Graphics. MIT - [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 53 Β· πŸ“₯ 3.2K Β· πŸ“¦ 180 Β· πŸ“‹ 690 - 23% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/JetBrains/lets-plot
- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 98K / month Β· πŸ“¦ 15 Β· ⏱️ 28.03.2025): 
pip install lets-plot
wordcloud (πŸ₯ˆ32 Β· ⭐ 10K) - A little word cloud generator in Python. MIT - [GitHub](https://github.com/amueller/word_cloud) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 2.3K Β· πŸ“¦ 21 Β· πŸ“‹ 560 - 24% open Β· ⏱️ 12.04.2025): 
git clone https://github.com/amueller/word_cloud
- [PyPi](https://pypi.org/project/wordcloud) (πŸ“₯ 1.8M / month Β· πŸ“¦ 550 Β· ⏱️ 10.11.2024): 
pip install wordcloud
- [Conda](https://anaconda.org/conda-forge/wordcloud) (πŸ“₯ 670K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge wordcloud
hvPlot (πŸ₯ˆ32 Β· ⭐ 1.2K) - A high-level plotting API for pandas, dask, xarray, and networkx built.. BSD-3 - [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 110 Β· πŸ“¦ 7.1K Β· πŸ“‹ 900 - 42% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/holoviz/hvplot
- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 210K / month Β· πŸ“¦ 240 Β· ⏱️ 30.04.2025): 
pip install hvplot
- [Conda](https://anaconda.org/conda-forge/hvplot) (πŸ“₯ 770K Β· ⏱️ 01.05.2025): 
conda install -c conda-forge hvplot
mpld3 (πŸ₯‰31 Β· ⭐ 2.4K Β· πŸ’€) - An interactive data visualization tool which brings matplotlib.. BSD-3 - [GitHub](https://github.com/mpld3/mpld3) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 360 Β· πŸ“¦ 7.4K Β· πŸ“‹ 370 - 59% open Β· ⏱️ 30.10.2024): 
git clone https://github.com/mpld3/mpld3
- [PyPi](https://pypi.org/project/mpld3) (πŸ“₯ 350K / month Β· πŸ“¦ 150 Β· ⏱️ 23.12.2023): 
pip install mpld3
- [Conda](https://anaconda.org/conda-forge/mpld3) (πŸ“₯ 230K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge mpld3
- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 1.2K / month Β· πŸ“¦ 9 Β· ⏱️ 23.12.2023): 
npm install mpld3
D-Tale (πŸ₯‰30 Β· ⭐ 4.9K) - Visualizer for pandas data structures. ❗️LGPL-2.1 - [GitHub](https://github.com/man-group/dtale) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 420 Β· πŸ“¦ 1.5K Β· πŸ“‹ 610 - 11% open Β· ⏱️ 20.03.2025): 
git clone https://github.com/man-group/dtale
- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 140K / month Β· πŸ“¦ 53 Β· ⏱️ 20.03.2025): 
pip install dtale
- [Conda](https://anaconda.org/conda-forge/dtale) (πŸ“₯ 430K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge dtale
bqplot (πŸ₯‰30 Β· ⭐ 3.7K Β· πŸ’€) - Plotting library for IPython/Jupyter notebooks. Apache-2 - [GitHub](https://github.com/bqplot/bqplot) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 470 Β· πŸ“¦ 61 Β· πŸ“‹ 640 - 42% open Β· ⏱️ 22.10.2024): 
git clone https://github.com/bqplot/bqplot
- [PyPi](https://pypi.org/project/bqplot) (πŸ“₯ 210K / month Β· πŸ“¦ 110 Β· ⏱️ 21.05.2025): 
pip install bqplot
- [Conda](https://anaconda.org/conda-forge/bqplot) (πŸ“₯ 1.6M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge bqplot
- [npm](https://www.npmjs.com/package/bqplot) (πŸ“₯ 1.6K / month Β· πŸ“¦ 21 Β· ⏱️ 24.12.2024): 
npm install bqplot
HyperTools (πŸ₯‰27 Β· ⭐ 1.8K) - A Python toolbox for gaining geometric insights into high-dimensional.. MIT - [GitHub](https://github.com/ContextLab/hypertools) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 160 Β· πŸ“₯ 71 Β· πŸ“¦ 500 Β· πŸ“‹ 200 - 34% open Β· ⏱️ 24.04.2025): 
git clone https://github.com/ContextLab/hypertools
- [PyPi](https://pypi.org/project/hypertools) (πŸ“₯ 400 / month Β· πŸ“¦ 2 Β· ⏱️ 12.02.2022): 
pip install hypertools
AutoViz (πŸ₯‰27 Β· ⭐ 1.8K Β· πŸ’€) - Automatically Visualize any dataset, any size with a single line.. Apache-2 - [GitHub](https://github.com/AutoViML/AutoViz) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 200 Β· πŸ“¦ 870 Β· πŸ“‹ 98 - 2% open Β· ⏱️ 10.06.2024): 
git clone https://github.com/AutoViML/AutoViz
- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 15K / month Β· πŸ“¦ 11 Β· ⏱️ 10.06.2024): 
pip install autoviz
- [Conda](https://anaconda.org/conda-forge/autoviz) (πŸ“₯ 86K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge autoviz
openTSNE (πŸ₯‰27 Β· ⭐ 1.5K Β· πŸ’€) - Extensible, parallel implementations of t-SNE. BSD-3 - [GitHub](https://github.com/pavlin-policar/openTSNE) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 170 Β· πŸ“¦ 1.1K Β· πŸ“‹ 140 - 9% open Β· ⏱️ 24.10.2024): 
git clone https://github.com/pavlin-policar/openTSNE
- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 39K / month Β· πŸ“¦ 47 Β· ⏱️ 13.08.2024): 
pip install opentsne
- [Conda](https://anaconda.org/conda-forge/opentsne) (πŸ“₯ 440K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge opentsne
Plotly-Resampler (πŸ₯‰27 Β· ⭐ 1.1K) - Visualize large time series data with plotly.py. MIT - [GitHub](https://github.com/predict-idlab/plotly-resampler) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 72 Β· πŸ“¦ 2K Β· πŸ“‹ 180 - 32% open Β· ⏱️ 07.04.2025): 
git clone https://github.com/predict-idlab/plotly-resampler
- [PyPi](https://pypi.org/project/plotly-resampler) (πŸ“₯ 470K / month Β· πŸ“¦ 31 Β· ⏱️ 07.04.2025): 
pip install plotly-resampler
- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (πŸ“₯ 110K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge plotly-resampler
Chartify (πŸ₯‰25 Β· ⭐ 3.6K Β· πŸ’€) - Python library that makes it easy for data scientists to create.. Apache-2 - [GitHub](https://github.com/spotify/chartify) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 320 Β· πŸ“¦ 83 Β· πŸ“‹ 83 - 61% open Β· ⏱️ 16.10.2024): 
git clone https://github.com/spotify/chartify
- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 1.2K / month Β· πŸ“¦ 9 Β· ⏱️ 16.10.2024): 
pip install chartify
- [Conda](https://anaconda.org/conda-forge/chartify) (πŸ“₯ 38K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge chartify
data-validation (πŸ₯‰25 Β· ⭐ 770) - Library for exploring and validating machine learning.. Apache-2 - [GitHub](https://github.com/tensorflow/data-validation) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 180 Β· πŸ“₯ 980 Β· πŸ“‹ 190 - 20% open Β· ⏱️ 12.05.2025): 
git clone https://github.com/tensorflow/data-validation
- [PyPi](https://pypi.org/project/tensorflow-data-validation) (πŸ“₯ 140K / month Β· πŸ“¦ 31 Β· ⏱️ 15.10.2024): 
pip install tensorflow-data-validation
python-ternary (πŸ₯‰25 Β· ⭐ 760 Β· πŸ’€) - Ternary plotting library for python with matplotlib. MIT - [GitHub](https://github.com/marcharper/python-ternary) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 160 Β· πŸ“₯ 36 Β· πŸ“¦ 220 Β· πŸ“‹ 140 - 24% open Β· ⏱️ 12.06.2024): 
git clone https://github.com/marcharper/python-ternary
- [PyPi](https://pypi.org/project/python-ternary) (πŸ“₯ 17K / month Β· πŸ“¦ 32 Β· ⏱️ 17.02.2021): 
pip install python-ternary
- [Conda](https://anaconda.org/conda-forge/python-ternary) (πŸ“₯ 100K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge python-ternary
PyWaffle (πŸ₯‰22 Β· ⭐ 600 Β· πŸ’€) - Make Waffle Charts in Python. MIT - [GitHub](https://github.com/gyli/PyWaffle) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 110 Β· πŸ“¦ 530 Β· πŸ“‹ 22 - 27% open Β· ⏱️ 16.06.2024): 
git clone https://github.com/gyli/PyWaffle
- [PyPi](https://pypi.org/project/pywaffle) (πŸ“₯ 14K / month Β· πŸ“¦ 6 Β· ⏱️ 16.06.2024): 
pip install pywaffle
- [Conda](https://anaconda.org/conda-forge/pywaffle) (πŸ“₯ 16K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pywaffle
vega (πŸ₯‰22 Β· ⭐ 380) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3 - [GitHub](https://github.com/vega/ipyvega) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 65 Β· πŸ“¦ 4 Β· πŸ“‹ 110 - 14% open Β· ⏱️ 01.01.2025): 
git clone https://github.com/vega/ipyvega
- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 18K / month Β· πŸ“¦ 17 Β· ⏱️ 25.09.2024): 
pip install vega
- [Conda](https://anaconda.org/conda-forge/vega) (πŸ“₯ 740K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge vega
Popmon (πŸ₯‰20 Β· ⭐ 500) - Monitor the stability of a Pandas or Spark dataframe. MIT - [GitHub](https://github.com/ing-bank/popmon) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 36 Β· πŸ“₯ 260 Β· πŸ“¦ 22 Β· πŸ“‹ 57 - 28% open Β· ⏱️ 24.01.2025): 
git clone https://github.com/ing-bank/popmon
- [PyPi](https://pypi.org/project/popmon) (πŸ“₯ 7.2K / month Β· πŸ“¦ 4 Β· ⏱️ 24.01.2025): 
pip install popmon
vegafusion (πŸ₯‰20 Β· ⭐ 360) - Serverside scaling for Vega and Altair visualizations. BSD-3 - [GitHub](https://github.com/vega/vegafusion) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 20 Β· πŸ“₯ 13K Β· πŸ“‹ 140 - 36% open Β· ⏱️ 23.02.2025): 
git clone https://github.com/vegafusion/vegafusion
- [PyPi](https://pypi.org/project/vegafusion-jupyter) (πŸ“₯ 1.4K / month Β· πŸ“¦ 2 Β· ⏱️ 09.05.2024): 
pip install vegafusion-jupyter
- [Conda](https://anaconda.org/conda-forge/vegafusion-python-embed) (πŸ“₯ 440K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge vegafusion-python-embed
- [npm](https://www.npmjs.com/package/vegafusion-jupyter) (πŸ“₯ 62 / month Β· πŸ“¦ 3 Β· ⏱️ 09.05.2024): 
npm install vegafusion-jupyter
animatplot (πŸ₯‰19 Β· ⭐ 420 Β· πŸ’€) - A python package for animating plots build on matplotlib. MIT - [GitHub](https://github.com/t-makaro/animatplot) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 38 Β· πŸ“¦ 76 Β· πŸ“‹ 37 - 45% open Β· ⏱️ 29.08.2024): 
git clone https://github.com/t-makaro/animatplot
- [PyPi](https://pypi.org/project/animatplot) (πŸ“₯ 200 / month Β· πŸ“¦ 4 Β· ⏱️ 29.08.2024): 
pip install animatplot
- [Conda](https://anaconda.org/conda-forge/animatplot) (πŸ“₯ 17K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge animatplot
ivis (πŸ₯‰18 Β· ⭐ 330 Β· πŸ’€) - Dimensionality reduction in very large datasets using Siamese.. Apache-2 - [GitHub](https://github.com/beringresearch/ivis) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 43 Β· πŸ“¦ 38 Β· πŸ“‹ 60 - 5% open Β· ⏱️ 29.09.2024): 
git clone https://github.com/beringresearch/ivis
- [PyPi](https://pypi.org/project/ivis) (πŸ“₯ 860 / month Β· πŸ“¦ 2 Β· ⏱️ 13.06.2024): 
pip install ivis
Show 17 hidden projects... - missingno (πŸ₯‰30 Β· ⭐ 4.1K Β· πŸ’€) - Missing data visualization module for Python. MIT - Cufflinks (πŸ₯‰28 Β· ⭐ 3.1K Β· πŸ’€) - Productivity Tools for Plotly + Pandas. MIT - pythreejs (πŸ₯‰28 Β· ⭐ 970 Β· πŸ’€) - A Jupyter - Three.js bridge. BSD-3 - Facets Overview (πŸ₯‰27 Β· ⭐ 7.4K Β· πŸ’€) - Visualizations for machine learning datasets. Apache-2 - Sweetviz (πŸ₯‰27 Β· ⭐ 3K Β· πŸ’€) - Visualize and compare datasets, target values and associations, with.. MIT - HiPlot (πŸ₯‰25 Β· ⭐ 2.8K Β· πŸ’€) - HiPlot makes understanding high dimensional data easy. MIT - PandasGUI (πŸ₯‰24 Β· ⭐ 3.2K Β· πŸ’€) - A GUI for Pandas DataFrames. ❗️MIT-0 - Multicore-TSNE (πŸ₯‰24 Β· ⭐ 1.9K Β· πŸ’€) - Parallel t-SNE implementation with Python and Torch.. BSD-3 - ridgeplot (πŸ₯‰24 Β· ⭐ 230) - Beautiful ridgeline plots in Python. MIT - Pandas-Bokeh (πŸ₯‰22 Β· ⭐ 880 Β· πŸ’€) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT - pivottablejs (πŸ₯‰22 Β· ⭐ 700 Β· πŸ’€) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT - joypy (πŸ₯‰22 Β· ⭐ 590 Β· πŸ’€) - Joyplots in Python with matplotlib & pandas. MIT - PDPbox (πŸ₯‰21 Β· ⭐ 850 Β· πŸ’€) - python partial dependence plot toolbox. MIT - pdvega (πŸ₯‰16 Β· ⭐ 340 Β· πŸ’€) - Interactive plotting for Pandas using Vega-Lite. MIT - data-describe (πŸ₯‰15 Β· ⭐ 300 Β· πŸ’€) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2 - nx-altair (πŸ₯‰15 Β· ⭐ 220 Β· πŸ’€) - Draw interactive NetworkX graphs with Altair. MIT - nptsne (πŸ₯‰13 Β· ⭐ 33 Β· πŸ’€) - nptsne is a numpy compatible python binary package that offers a.. Apache-2


Text Data & NLP

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Libraries for processing, cleaning, manipulating, and analyzing text data as well as libraries for NLP tasks such as language detection, fuzzy matching, classification, seq2seq learning, conversational AI, keyword extraction, and translation.

transformers (πŸ₯‡54 Β· ⭐ 140K) - Transformers: State-of-the-art Machine Learning for.. Apache-2 - [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 3.3K Β· πŸ”€ 29K Β· πŸ“¦ 370K Β· πŸ“‹ 18K - 9% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/huggingface/transformers
- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 62M / month Β· πŸ“¦ 8.8K Β· ⏱️ 21.05.2025): 
pip install transformers
- [Conda](https://anaconda.org/conda-forge/transformers) (πŸ“₯ 2.8M Β· ⏱️ 21.05.2025): 
conda install -c conda-forge transformers
nltk (πŸ₯‡45 Β· ⭐ 14K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2 - [GitHub](https://github.com/nltk/nltk) (πŸ‘¨β€πŸ’» 470 Β· πŸ”€ 2.9K Β· πŸ“¦ 390K Β· πŸ“‹ 1.9K - 14% open Β· ⏱️ 02.05.2025): 
git clone https://github.com/nltk/nltk
- [PyPi](https://pypi.org/project/nltk) (πŸ“₯ 35M / month Β· πŸ“¦ 5.6K Β· ⏱️ 18.08.2024): 
pip install nltk
- [Conda](https://anaconda.org/conda-forge/nltk) (πŸ“₯ 3.2M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge nltk
spaCy (πŸ₯‡44 Β· ⭐ 32K Β· πŸ“ˆ) - Industrial-strength Natural Language Processing (NLP) in Python. MIT - [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 760 Β· πŸ”€ 4.5K Β· πŸ“₯ 2.7K Β· πŸ“¦ 130K Β· πŸ“‹ 5.8K - 3% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/explosion/spaCy
- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 19M / month Β· πŸ“¦ 3.2K Β· ⏱️ 19.05.2025): 
pip install spacy
- [Conda](https://anaconda.org/conda-forge/spacy) (πŸ“₯ 5.8M Β· ⏱️ 20.05.2025): 
conda install -c conda-forge spacy
litellm (πŸ₯‡44 Β· ⭐ 23K) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s - [GitHub](https://github.com/BerriAI/litellm) (πŸ‘¨β€πŸ’» 550 Β· πŸ”€ 3K Β· πŸ“₯ 670 Β· πŸ“¦ 13K Β· πŸ“‹ 5.8K - 22% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/BerriAI/litellm
- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 8.9M / month Β· πŸ“¦ 1.2K Β· ⏱️ 21.05.2025): 
pip install litellm
sentence-transformers (πŸ₯‡43 Β· ⭐ 17K) - State-of-the-Art Text Embeddings. Apache-2 - [GitHub](https://github.com/UKPLab/sentence-transformers) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 2.6K Β· πŸ“¦ 110K Β· πŸ“‹ 2.4K - 52% open Β· ⏱️ 14.05.2025): 
git clone https://github.com/UKPLab/sentence-transformers
- [PyPi](https://pypi.org/project/sentence-transformers) (πŸ“₯ 9.3M / month Β· πŸ“¦ 2.4K Β· ⏱️ 15.04.2025): 
pip install sentence-transformers
- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (πŸ“₯ 720K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge sentence-transformers
gensim (πŸ₯‡40 Β· ⭐ 16K) - Topic Modelling for Humans. ❗️LGPL-2.1 - [GitHub](https://github.com/piskvorky/gensim) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 4.4K Β· πŸ“₯ 6K Β· πŸ“¦ 76K Β· πŸ“‹ 1.9K - 21% open Β· ⏱️ 14.02.2025): 
git clone https://github.com/RaRe-Technologies/gensim
- [PyPi](https://pypi.org/project/gensim) (πŸ“₯ 4.9M / month Β· πŸ“¦ 1.4K Β· ⏱️ 19.07.2024): 
pip install gensim
- [Conda](https://anaconda.org/conda-forge/gensim) (πŸ“₯ 1.6M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge gensim
flair (πŸ₯‡40 Β· ⭐ 14K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT - [GitHub](https://github.com/flairNLP/flair) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 2.1K Β· πŸ“¦ 4K Β· πŸ“‹ 2.4K - 3% open Β· ⏱️ 27.04.2025): 
git clone https://github.com/flairNLP/flair
- [PyPi](https://pypi.org/project/flair) (πŸ“₯ 100K / month Β· πŸ“¦ 150 Β· ⏱️ 05.02.2025): 
pip install flair
- [Conda](https://anaconda.org/conda-forge/python-flair) (πŸ“₯ 43K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge python-flair
Rasa (πŸ₯‡39 Β· ⭐ 20K) - Open source machine learning framework to automate text- and voice-.. Apache-2 - [GitHub](https://github.com/RasaHQ/rasa) (πŸ‘¨β€πŸ’» 590 Β· πŸ”€ 4.8K Β· πŸ“¦ 5.3K Β· πŸ“‹ 6.8K - 2% open Β· ⏱️ 14.01.2025): 
git clone https://github.com/RasaHQ/rasa
- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 130K / month Β· πŸ“¦ 60 Β· ⏱️ 14.01.2025): 
pip install rasa
haystack (πŸ₯‡38 Β· ⭐ 21K) - AI orchestration framework to build customizable, production-ready.. Apache-2 - [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 2.2K Β· πŸ“¦ 1.2K Β· πŸ“‹ 3.9K - 3% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/deepset-ai/haystack
- [PyPi](https://pypi.org/project/haystack) (πŸ“₯ 6.2K / month Β· πŸ“¦ 5 Β· ⏱️ 15.12.2021): 
pip install haystack
NeMo (πŸ₯‡38 Β· ⭐ 15K) - A scalable generative AI framework built for researchers and.. Apache-2 - [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 2.8K Β· πŸ“₯ 380K Β· πŸ“¦ 21 Β· πŸ“‹ 2.6K - 5% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/NVIDIA/NeMo
- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 180K / month Β· πŸ“¦ 14 Β· ⏱️ 08.05.2025): 
pip install nemo-toolkit
ChatterBot (πŸ₯‡38 Β· ⭐ 14K) - ChatterBot is a machine learning, conversational dialog engine for.. BSD-3 - [GitHub](https://github.com/gunthercox/ChatterBot) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 4.5K Β· πŸ“¦ 6.4K Β· πŸ“‹ 1.7K - 8% open Β· ⏱️ 20.05.2025): 
git clone https://github.com/gunthercox/ChatterBot
- [PyPi](https://pypi.org/project/chatterbot) (πŸ“₯ 27K / month Β· πŸ“¦ 18 Β· ⏱️ 05.04.2025): 
pip install chatterbot
sentencepiece (πŸ₯‡38 Β· ⭐ 11K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2 - [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 1.2K Β· πŸ“₯ 57K Β· πŸ“¦ 110K Β· πŸ“‹ 780 - 6% open Β· ⏱️ 26.02.2025): 
git clone https://github.com/google/sentencepiece
- [PyPi](https://pypi.org/project/sentencepiece) (πŸ“₯ 28M / month Β· πŸ“¦ 1.7K Β· ⏱️ 19.02.2024): 
pip install sentencepiece
- [Conda](https://anaconda.org/conda-forge/sentencepiece) (πŸ“₯ 1.5M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge sentencepiece
Tokenizers (πŸ₯‡38 Β· ⭐ 9.7K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 - [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 880 Β· πŸ“₯ 74 Β· πŸ“¦ 170K Β· πŸ“‹ 1.1K - 7% open Β· ⏱️ 18.03.2025): 
git clone https://github.com/huggingface/tokenizers
- [PyPi](https://pypi.org/project/tokenizers) (πŸ“₯ 56M / month Β· πŸ“¦ 1.3K Β· ⏱️ 13.03.2025): 
pip install tokenizers
- [Conda](https://anaconda.org/conda-forge/tokenizers) (πŸ“₯ 3M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge tokenizers
TextBlob (πŸ₯‡38 Β· ⭐ 9.3K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT - [GitHub](https://github.com/sloria/TextBlob) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 1.2K Β· πŸ“₯ 130 Β· πŸ“¦ 58K Β· πŸ“‹ 280 - 25% open Β· ⏱️ 19.05.2025): 
git clone https://github.com/sloria/TextBlob
- [PyPi](https://pypi.org/project/textblob) (πŸ“₯ 1.4M / month Β· πŸ“¦ 400 Β· ⏱️ 13.01.2025): 
pip install textblob
- [Conda](https://anaconda.org/conda-forge/textblob) (πŸ“₯ 290K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge textblob
fairseq (πŸ₯ˆ37 Β· ⭐ 31K Β· πŸ’€) - Facebook AI Research Sequence-to-Sequence Toolkit written in.. MIT - [GitHub](https://github.com/facebookresearch/fairseq) (πŸ‘¨β€πŸ’» 430 Β· πŸ”€ 6.5K Β· πŸ“₯ 410 Β· πŸ“¦ 4.3K Β· πŸ“‹ 4.4K - 30% open Β· ⏱️ 18.10.2024): 
git clone https://github.com/facebookresearch/fairseq
- [PyPi](https://pypi.org/project/fairseq) (πŸ“₯ 91K / month Β· πŸ“¦ 120 Β· ⏱️ 27.06.2022): 
pip install fairseq
- [Conda](https://anaconda.org/conda-forge/fairseq) (πŸ“₯ 140K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge fairseq
spark-nlp (πŸ₯ˆ36 Β· ⭐ 4K) - State of the Art Natural Language Processing. Apache-2 - [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 720 Β· πŸ“¦ 600 Β· πŸ“‹ 910 - 2% open Β· ⏱️ 15.05.2025): 
git clone https://github.com/JohnSnowLabs/spark-nlp
- [PyPi](https://pypi.org/project/spark-nlp) (πŸ“₯ 4.2M / month Β· πŸ“¦ 37 Β· ⏱️ 14.05.2025): 
pip install spark-nlp
qdrant (πŸ₯ˆ35 Β· ⭐ 24K) - Qdrant - High-performance, massive-scale Vector Database and Vector.. Apache-2 - [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.6K Β· πŸ“₯ 400K Β· πŸ“¦ 120 Β· πŸ“‹ 1.5K - 23% open Β· ⏱️ 16.05.2025): 
git clone https://github.com/qdrant/qdrant
TensorFlow Text (πŸ₯ˆ35 Β· ⭐ 1.3K Β· πŸ“‰) - Making text a first-class citizen in TensorFlow. Apache-2 - [GitHub](https://github.com/tensorflow/text) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 350 Β· πŸ“¦ 9.6K Β· πŸ“‹ 370 - 52% open Β· ⏱️ 24.03.2025): 
git clone https://github.com/tensorflow/text
- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 6.5M / month Β· πŸ“¦ 230 Β· ⏱️ 04.04.2025): 
pip install tensorflow-text
snowballstemmer (πŸ₯ˆ34 Β· ⭐ 790) - Snowball compiler and stemming algorithms. BSD-3 - [GitHub](https://github.com/snowballstem/snowball) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 180 Β· πŸ“¦ 10 Β· πŸ“‹ 100 - 15% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/snowballstem/snowball
- [PyPi](https://pypi.org/project/snowballstemmer) (πŸ“₯ 22M / month Β· πŸ“¦ 550 Β· ⏱️ 09.05.2025): 
pip install snowballstemmer
- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (πŸ“₯ 9.8M Β· ⏱️ 20.05.2025): 
conda install -c conda-forge snowballstemmer
Opik (πŸ₯ˆ33 Β· ⭐ 8.6K) - Debug, evaluate, and monitor your LLM applications, RAG systems, and.. Apache-2 - [GitHub](https://github.com/comet-ml/opik) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 570 Β· πŸ“₯ 12 Β· πŸ“¦ 9 Β· πŸ“‹ 310 - 28% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/comet-ml/opik
- [PyPi](https://pypi.org/project/opik) (πŸ“₯ 230K / month Β· πŸ“¦ 14 Β· ⏱️ 22.05.2025): 
pip install opik
stanza (πŸ₯ˆ33 Β· ⭐ 7.5K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2 - [GitHub](https://github.com/stanfordnlp/stanza) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 900 Β· πŸ“¦ 3.9K Β· πŸ“‹ 930 - 10% open Β· ⏱️ 24.12.2024): 
git clone https://github.com/stanfordnlp/stanza
- [PyPi](https://pypi.org/project/stanza) (πŸ“₯ 390K / month Β· πŸ“¦ 200 Β· ⏱️ 24.12.2024): 
pip install stanza
- [Conda](https://anaconda.org/stanfordnlp/stanza) (πŸ“₯ 8.7K Β· ⏱️ 25.03.2025): 
conda install -c stanfordnlp stanza
OpenNMT (πŸ₯ˆ33 Β· ⭐ 6.9K Β· πŸ’€) - Open Source Neural Machine Translation and (Large) Language.. MIT - [GitHub](https://github.com/OpenNMT/OpenNMT-py) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 2.3K Β· πŸ“¦ 340 Β· πŸ“‹ 1.5K - 2% open Β· ⏱️ 27.06.2024): 
git clone https://github.com/OpenNMT/OpenNMT-py
- [PyPi](https://pypi.org/project/OpenNMT-py) (πŸ“₯ 15K / month Β· πŸ“¦ 23 Β· ⏱️ 18.03.2024): 
pip install OpenNMT-py
jellyfish (πŸ₯ˆ33 Β· ⭐ 2.1K) - a python library for doing approximate and phonetic matching of strings. MIT - [GitHub](https://github.com/jamesturk/jellyfish) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 160 Β· πŸ“¦ 15K Β· πŸ“‹ 140 - 2% open Β· ⏱️ 17.05.2025): 
git clone https://github.com/jamesturk/jellyfish
- [PyPi](https://pypi.org/project/jellyfish) (πŸ“₯ 7.4M / month Β· πŸ“¦ 300 Β· ⏱️ 31.03.2025): 
pip install jellyfish
- [Conda](https://anaconda.org/conda-forge/jellyfish) (πŸ“₯ 1.4M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge jellyfish
ftfy (πŸ₯ˆ32 Β· ⭐ 3.9K Β· πŸ’€) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2 - [GitHub](https://github.com/rspeer/python-ftfy) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 120 Β· πŸ“₯ 73 Β· πŸ“¦ 31K Β· πŸ“‹ 150 - 6% open Β· ⏱️ 30.10.2024): 
git clone https://github.com/rspeer/python-ftfy
- [PyPi](https://pypi.org/project/ftfy) (πŸ“₯ 7.1M / month Β· πŸ“¦ 570 Β· ⏱️ 26.10.2024): 
pip install ftfy
- [Conda](https://anaconda.org/conda-forge/ftfy) (πŸ“₯ 330K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge ftfy
torchtext (πŸ₯ˆ32 Β· ⭐ 3.5K) - Models, data loaders and abstractions for language processing,.. BSD-3 - [GitHub](https://github.com/pytorch/text) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 810 Β· πŸ“‹ 850 - 39% open Β· ⏱️ 24.02.2025): 
git clone https://github.com/pytorch/text
- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 680K / month Β· πŸ“¦ 280 Β· ⏱️ 24.04.2024): 
pip install torchtext
DeepPavlov (πŸ₯ˆ31 Β· ⭐ 6.9K) - An open source library for deep learning end-to-end dialog.. Apache-2 - [GitHub](https://github.com/deeppavlov/DeepPavlov) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 1.2K Β· πŸ“¦ 430 Β· πŸ“‹ 640 - 4% open Β· ⏱️ 26.11.2024): 
git clone https://github.com/deepmipt/DeepPavlov
- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 15K / month Β· πŸ“¦ 4 Β· ⏱️ 12.08.2024): 
pip install deeppavlov
rubrix (πŸ₯ˆ31 Β· ⭐ 4.5K) - Argilla is a collaboration tool for AI engineers and domain experts.. Apache-2 - [GitHub](https://github.com/argilla-io/argilla) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 430 Β· πŸ“¦ 3K Β· πŸ“‹ 2.2K - 1% open Β· ⏱️ 16.05.2025): 
git clone https://github.com/recognai/rubrix
- [PyPi](https://pypi.org/project/rubrix) (πŸ“₯ 3.1K / month Β· ⏱️ 24.10.2022): 
pip install rubrix
- [Conda](https://anaconda.org/conda-forge/rubrix) (πŸ“₯ 46K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge rubrix
Dedupe (πŸ₯ˆ30 Β· ⭐ 4.3K) - A python library for accurate and scalable fuzzy matching, record.. MIT - [GitHub](https://github.com/dedupeio/dedupe) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 550 Β· πŸ“¦ 360 Β· πŸ“‹ 820 - 9% open Β· ⏱️ 01.11.2024): 
git clone https://github.com/dedupeio/dedupe
- [PyPi](https://pypi.org/project/dedupe) (πŸ“₯ 66K / month Β· πŸ“¦ 19 Β· ⏱️ 15.08.2024): 
pip install dedupe
- [Conda](https://anaconda.org/conda-forge/dedupe) (πŸ“₯ 110K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge dedupe
Sumy (πŸ₯ˆ30 Β· ⭐ 3.6K Β· πŸ’€) - Module for automatic summarization of text documents and HTML pages. Apache-2 - [GitHub](https://github.com/miso-belica/sumy) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 530 Β· πŸ“¦ 4.1K Β· πŸ“‹ 120 - 18% open Β· ⏱️ 16.05.2024): 
git clone https://github.com/miso-belica/sumy
- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 73K / month Β· πŸ“¦ 31 Β· ⏱️ 23.10.2022): 
pip install sumy
- [Conda](https://anaconda.org/conda-forge/sumy) (πŸ“₯ 12K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge sumy
spacy-transformers (πŸ₯ˆ29 Β· ⭐ 1.4K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy - [GitHub](https://github.com/explosion/spacy-transformers) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 170 Β· πŸ“₯ 170 Β· πŸ“¦ 2.3K Β· ⏱️ 06.02.2025): 
git clone https://github.com/explosion/spacy-transformers
- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 220K / month Β· πŸ“¦ 98 Β· ⏱️ 06.02.2025): 
pip install spacy-transformers
- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (πŸ“₯ 120K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge spacy-transformers
TextDistance (πŸ₯ˆ28 Β· ⭐ 3.5K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT - [GitHub](https://github.com/life4/textdistance) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 250 Β· πŸ“₯ 1.1K Β· πŸ“¦ 8.6K Β· ⏱️ 18.04.2025): 
git clone https://github.com/life4/textdistance
- [PyPi](https://pypi.org/project/textdistance) (πŸ“₯ 1.1M / month Β· πŸ“¦ 99 Β· ⏱️ 16.07.2024): 
pip install textdistance
- [Conda](https://anaconda.org/conda-forge/textdistance) (πŸ“₯ 830K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge textdistance
SciSpacy (πŸ₯ˆ28 Β· ⭐ 1.8K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2 - [GitHub](https://github.com/allenai/scispacy) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 230 Β· πŸ“¦ 1.2K Β· πŸ“‹ 320 - 10% open Β· ⏱️ 23.11.2024): 
git clone https://github.com/allenai/scispacy
- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 38K / month Β· πŸ“¦ 34 Β· ⏱️ 27.10.2024): 
pip install scispacy
CLTK (πŸ₯ˆ28 Β· ⭐ 850) - The Classical Language Toolkit. MIT - [GitHub](https://github.com/cltk/cltk) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 330 Β· πŸ“₯ 130 Β· πŸ“¦ 300 Β· πŸ“‹ 580 - 6% open Β· ⏱️ 04.05.2025): 
git clone https://github.com/cltk/cltk
- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 3.3K / month Β· πŸ“¦ 17 Β· ⏱️ 04.05.2025): 
pip install cltk
PyTextRank (πŸ₯‰27 Β· ⭐ 2.2K Β· πŸ’€) - Python implementation of TextRank algorithms (textgraphs) for.. MIT - [GitHub](https://github.com/DerwenAI/pytextrank) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 340 Β· πŸ“¦ 850 Β· πŸ“‹ 100 - 12% open Β· ⏱️ 21.05.2024): 
git clone https://github.com/DerwenAI/pytextrank
- [PyPi](https://pypi.org/project/pytextrank) (πŸ“₯ 70K / month Β· πŸ“¦ 19 Β· ⏱️ 21.02.2024): 
pip install pytextrank
english-words (πŸ₯‰26 Β· ⭐ 11K) - A text file containing 479k English words for all your.. Unlicense - [GitHub](https://github.com/dwyl/english-words) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 1.9K Β· πŸ“¦ 2 Β· πŸ“‹ 160 - 74% open Β· ⏱️ 06.01.2025): 
git clone https://github.com/dwyl/english-words
- [PyPi](https://pypi.org/project/english-words) (πŸ“₯ 57K / month Β· πŸ“¦ 14 Β· ⏱️ 24.05.2023): 
pip install english-words
DeepKE (πŸ₯‰25 Β· ⭐ 3.9K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. MIT - [GitHub](https://github.com/zjunlp/DeepKE) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 710 Β· πŸ“¦ 24 Β· πŸ“‹ 610 - 1% open Β· ⏱️ 22.04.2025): 
git clone https://github.com/zjunlp/deepke
- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 1.1K / month Β· ⏱️ 21.09.2023): 
pip install deepke
scattertext (πŸ₯‰25 Β· ⭐ 2.3K) - Beautiful visualizations of how language differs among document.. Apache-2 - [GitHub](https://github.com/JasonKessler/scattertext) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 290 Β· πŸ“¦ 670 Β· πŸ“‹ 100 - 22% open Β· ⏱️ 29.04.2025): 
git clone https://github.com/JasonKessler/scattertext
- [PyPi](https://pypi.org/project/scattertext) (πŸ“₯ 8.9K / month Β· πŸ“¦ 5 Β· ⏱️ 23.09.2024): 
pip install scattertext
- [Conda](https://anaconda.org/conda-forge/scattertext) (πŸ“₯ 110K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge scattertext
sense2vec (πŸ₯‰24 Β· ⭐ 1.7K) - Contextually-keyed word vectors. MIT - [GitHub](https://github.com/explosion/sense2vec) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 240 Β· πŸ“₯ 72K Β· πŸ“¦ 470 Β· πŸ“‹ 120 - 20% open Β· ⏱️ 23.04.2025): 
git clone https://github.com/explosion/sense2vec
- [PyPi](https://pypi.org/project/sense2vec) (πŸ“₯ 2K / month Β· πŸ“¦ 13 Β· ⏱️ 19.04.2021): 
pip install sense2vec
- [Conda](https://anaconda.org/conda-forge/sense2vec) (πŸ“₯ 61K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge sense2vec
detoxify (πŸ₯‰24 Β· ⭐ 1K) - Trained models & code to predict toxic comments on all 3 Jigsaw Toxic.. Apache-2 - [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 120 Β· πŸ“₯ 1.2M Β· πŸ“¦ 910 Β· πŸ“‹ 67 - 55% open Β· ⏱️ 07.03.2025): 
git clone https://github.com/unitaryai/detoxify
- [PyPi](https://pypi.org/project/detoxify) (πŸ“₯ 66K / month Β· πŸ“¦ 30 Β· ⏱️ 01.02.2024): 
pip install detoxify
T5 (πŸ₯‰23 Β· ⭐ 6.4K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2 - [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 760 Β· πŸ“‹ 450 - 23% open Β· ⏱️ 28.04.2025): 
git clone https://github.com/google-research/text-to-text-transfer-transformer
- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 41K / month Β· πŸ“¦ 2 Β· ⏱️ 18.10.2021): 
pip install t5
Sockeye (πŸ₯‰22 Β· ⭐ 1.2K Β· πŸ’€) - Sequence-to-sequence framework with a focus on Neural.. Apache-2 - [GitHub](https://github.com/awslabs/sockeye) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 320 Β· πŸ“₯ 21 Β· πŸ“‹ 310 - 3% open Β· ⏱️ 24.10.2024): 
git clone https://github.com/awslabs/sockeye
- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 1.3K / month Β· ⏱️ 03.03.2023): 
pip install sockeye
happy-transformer (πŸ₯‰22 Β· ⭐ 540) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface - [GitHub](https://github.com/EricFillion/happy-transformer) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 68 Β· πŸ“¦ 330 Β· πŸ“‹ 130 - 16% open Β· ⏱️ 22.03.2025): 
git clone https://github.com/EricFillion/happy-transformer
- [PyPi](https://pypi.org/project/happytransformer) (πŸ“₯ 3.5K / month Β· πŸ“¦ 5 Β· ⏱️ 05.08.2023): 
pip install happytransformer
fast-bert (πŸ₯‰21 Β· ⭐ 1.9K Β· πŸ’€) - Super easy library for BERT based NLP models. Apache-2 - [GitHub](https://github.com/utterworks/fast-bert) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 340 Β· πŸ“‹ 260 - 63% open Β· ⏱️ 19.08.2024): 
git clone https://github.com/utterworks/fast-bert
- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 1.4K / month Β· ⏱️ 19.08.2024): 
pip install fast-bert
finetune (πŸ₯‰21 Β· ⭐ 710) - Scikit-learn style model finetuning for NLP. MPL-2.0 - [GitHub](https://github.com/IndicoDataSolutions/finetune) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 78 Β· πŸ“¦ 15 Β· πŸ“‹ 140 - 15% open Β· ⏱️ 20.05.2025): 
git clone https://github.com/IndicoDataSolutions/finetune
- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 370 / month Β· πŸ“¦ 2 Β· ⏱️ 29.09.2023): 
pip install finetune
small-text (πŸ₯‰21 Β· ⭐ 620) - Active Learning for Text Classification in Python. MIT - [GitHub](https://github.com/webis-de/small-text) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 70 Β· πŸ“¦ 34 Β· πŸ“‹ 66 - 27% open Β· ⏱️ 06.04.2025): 
git clone https://github.com/webis-de/small-text
- [PyPi](https://pypi.org/project/small-text) (πŸ“₯ 720 / month Β· ⏱️ 06.04.2025): 
pip install small-text
- [Conda](https://anaconda.org/conda-forge/small-text) (πŸ“₯ 15K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge small-text
UForm (πŸ₯‰20 Β· ⭐ 1.1K) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2 - [GitHub](https://github.com/unum-cloud/uform) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 67 Β· πŸ“₯ 610 Β· πŸ“¦ 34 Β· πŸ“‹ 35 - 37% open Β· ⏱️ 03.01.2025): 
git clone https://github.com/unum-cloud/uform
- [PyPi](https://pypi.org/project/uform) (πŸ“₯ 640 / month Β· πŸ“¦ 2 Β· ⏱️ 03.01.2025): 
pip install uform
VizSeq (πŸ₯‰15 Β· ⭐ 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT - [GitHub](https://github.com/facebookresearch/vizseq) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 61 Β· πŸ“¦ 13 Β· πŸ“‹ 16 - 43% open Β· ⏱️ 07.03.2025): 
git clone https://github.com/facebookresearch/vizseq
- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 130 / month Β· ⏱️ 07.08.2020): 
pip install vizseq
Show 56 hidden projects... - AllenNLP (πŸ₯ˆ37 Β· ⭐ 12K Β· πŸ’€) - An open-source NLP research library, built on PyTorch. Apache-2 - fastText (πŸ₯ˆ35 Β· ⭐ 26K Β· πŸ’€) - Library for fast text representation and classification. MIT - ParlAI (πŸ₯ˆ32 Β· ⭐ 11K Β· πŸ’€) - A framework for training and evaluating AI models on a variety of.. MIT - fuzzywuzzy (πŸ₯ˆ32 Β· ⭐ 9.3K Β· πŸ’€) - Fuzzy String Matching in Python. ❗️GPL-2.0 - nlpaug (πŸ₯ˆ30 Β· ⭐ 4.6K Β· πŸ’€) - Data augmentation for NLP. MIT - Ciphey (πŸ₯ˆ28 Β· ⭐ 19K Β· πŸ’€) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT - vaderSentiment (πŸ₯ˆ28 Β· ⭐ 4.7K Β· πŸ’€) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT - fastNLP (πŸ₯ˆ28 Β· ⭐ 3.1K Β· πŸ’€) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2 - textacy (πŸ₯ˆ28 Β· ⭐ 2.2K Β· πŸ’€) - NLP, before and after spaCy. ❗Unlicensed - flashtext (πŸ₯‰27 Β· ⭐ 5.6K Β· πŸ’€) - Extract Keywords from sentence or Replace keywords in sentences. MIT - underthesea (πŸ₯‰27 Β· ⭐ 1.5K) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0 - pySBD (πŸ₯‰27 Β· ⭐ 850 Β· πŸ’€) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT - neuralcoref (πŸ₯‰26 Β· ⭐ 2.9K Β· πŸ’€) - Fast Coreference Resolution in spaCy with Neural Networks. MIT - langid (πŸ₯‰26 Β· ⭐ 2.4K Β· πŸ’€) - Stand-alone language identification system. BSD-3 - polyglot (πŸ₯‰26 Β· ⭐ 2.3K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 - PyText (πŸ₯‰25 Β· ⭐ 6.3K Β· πŸ’€) - A natural language modeling framework based on PyTorch. BSD-3 - GluonNLP (πŸ₯‰25 Β· ⭐ 2.6K Β· πŸ’€) - Toolkit that enables easy text preprocessing, datasets.. Apache-2 - textgenrnn (πŸ₯‰24 Β· ⭐ 4.9K Β· πŸ’€) - Easily train your own text-generating neural network of any.. MIT - OpenPrompt (πŸ₯‰24 Β· ⭐ 4.6K Β· πŸ’€) - An Open-Source Framework for Prompt-Learning. Apache-2 - Snips NLU (πŸ₯‰24 Β· ⭐ 3.9K Β· πŸ’€) - Snips Python library to extract meaning from text. Apache-2 - MatchZoo (πŸ₯‰24 Β· ⭐ 3.9K Β· πŸ’€) - Facilitating the design, comparison and sharing of deep.. Apache-2 - promptsource (πŸ₯‰24 Β· ⭐ 2.9K Β· πŸ’€) - Toolkit for creating, sharing and using natural language.. Apache-2 - pytorch-nlp (πŸ₯‰24 Β· ⭐ 2.2K Β· πŸ’€) - Basic Utilities for PyTorch Natural Language Processing.. BSD-3 - FARM (πŸ₯‰24 Β· ⭐ 1.8K Β· πŸ’€) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 - whoosh (πŸ₯‰24 Β· ⭐ 620 Β· πŸ’€) - Pure-Python full-text search library. ❗️BSD-1-Clause - Kashgari (πŸ₯‰23 Β· ⭐ 2.4K Β· πŸ’€) - Kashgari is a production-level NLP Transfer learning.. Apache-2 - YouTokenToMe (πŸ₯‰23 Β· ⭐ 970 Β· πŸ’€) - Unsupervised text tokenizer focused on computational efficiency. MIT - gpt-2-simple (πŸ₯‰22 Β· ⭐ 3.4K Β· πŸ’€) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT - NLP Architect (πŸ₯‰22 Β· ⭐ 2.9K Β· πŸ’€) - A model library for exploring state-of-the-art deep.. Apache-2 - Texthero (πŸ₯‰22 Β· ⭐ 2.9K Β· πŸ’€) - Text preprocessing, representation and visualization from zero to.. MIT - Texar (πŸ₯‰22 Β· ⭐ 2.4K Β· πŸ’€) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 - jiant (πŸ₯‰22 Β· ⭐ 1.7K Β· πŸ’€) - jiant is an nlp toolkit. MIT - stop-words (πŸ₯‰22 Β· ⭐ 160 Β· πŸ’€) - Get list of common stop words in various languages in Python. BSD-3 - DELTA (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ’€) - DELTA is a deep learning based natural language and speech.. Apache-2 - anaGo (πŸ₯‰21 Β· ⭐ 1.5K Β· πŸ’€) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT - lightseq (πŸ₯‰20 Β· ⭐ 3.3K Β· πŸ’€) - LightSeq: A High Performance Library for Sequence Processing.. Apache-2 - textpipe (πŸ₯‰20 Β· ⭐ 300 Β· πŸ’€) - Textpipe: clean and extract metadata from text. MIT - DeepMatcher (πŸ₯‰19 Β· ⭐ 5.2K Β· πŸ’€) - Python package for performing Entity and Text Matching using.. BSD-3 - numerizer (πŸ₯‰19 Β· ⭐ 230 Β· πŸ’€) - A Python module to convert natural language numerics into ints and.. MIT - pyfasttext (πŸ₯‰19 Β· ⭐ 230 Β· πŸ’€) - Yet another Python binding for fastText. ❗️GPL-3.0 - NeuroNER (πŸ₯‰18 Β· ⭐ 1.7K Β· πŸ’€) - Named-entity recognition using neural networks. Easy-to-use and.. MIT - nboost (πŸ₯‰18 Β· ⭐ 680 Β· πŸ’€) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2 - fastT5 (πŸ₯‰18 Β· ⭐ 580 Β· πŸ’€) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2 - textaugment (πŸ₯‰18 Β· ⭐ 420 Β· πŸ’€) - TextAugment: Text Augmentation Library. MIT - Camphr (πŸ₯‰18 Β· ⭐ 340 Β· πŸ’€) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy - skift (πŸ₯‰17 Β· ⭐ 240 Β· πŸ’€) - scikit-learn wrappers for Python fastText. MIT - OpenNRE (πŸ₯‰16 Β· ⭐ 4.4K Β· πŸ’€) - An Open-Source Package for Neural Relation Extraction (NRE). MIT - TextBox (πŸ₯‰16 Β· ⭐ 1.1K Β· πŸ’€) - TextBox 2.0 is a text generation library with pre-trained language.. MIT - BLINK (πŸ₯‰15 Β· ⭐ 1.2K Β· πŸ’€) - Entity Linker solution. MIT - Translate (πŸ₯‰15 Β· ⭐ 830 Β· πŸ’€) - Translate - a PyTorch Language Library. BSD-3 - NeuralQA (πŸ₯‰15 Β· ⭐ 230 Β· πŸ’€) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT - Headliner (πŸ₯‰15 Β· ⭐ 230 Β· πŸ’€) - Easy training and deployment of seq2seq models. MIT - ONNX-T5 (πŸ₯‰14 Β· ⭐ 250 Β· πŸ’€) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2 - TransferNLP (πŸ₯‰13 Β· ⭐ 290 Β· πŸ’€) - NLP library designed for reproducible experimentation.. MIT - textvec (πŸ₯‰13 Β· ⭐ 190 Β· πŸ’€) - Text vectorization tool to outperform TFIDF for classification.. MIT - spacy-dbpedia-spotlight (πŸ₯‰13 Β· ⭐ 110 Β· πŸ’€) - A spaCy wrapper for DBpedia Spotlight. MIT spacy


Image Data

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Libraries for image & video processing, manipulation, and augmentation as well as libraries for computer vision tasks such as facial recognition, object detection, and classification.

Pillow (πŸ₯‡48 Β· ⭐ 13K) - Python Imaging Library (Fork). ❗️PIL - [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 2.3K Β· πŸ“¦ 2.3M Β· πŸ“‹ 3.3K - 3% open Β· ⏱️ 08.05.2025): 
git clone https://github.com/python-pillow/Pillow
- [PyPi](https://pypi.org/project/Pillow) (πŸ“₯ 150M / month Β· πŸ“¦ 14K Β· ⏱️ 12.04.2025): 
pip install Pillow
- [Conda](https://anaconda.org/conda-forge/pillow) (πŸ“₯ 54M Β· ⏱️ 07.05.2025): 
conda install -c conda-forge pillow
torchvision (πŸ₯‡42 Β· ⭐ 17K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 - [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 640 Β· πŸ”€ 7K Β· πŸ“₯ 41K Β· πŸ“¦ 21 Β· πŸ“‹ 3.7K - 29% open Β· ⏱️ 09.05.2025): 
git clone https://github.com/pytorch/vision
- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 17M / month Β· πŸ“¦ 7K Β· ⏱️ 23.04.2025): 
pip install torchvision
- [Conda](https://anaconda.org/conda-forge/torchvision) (πŸ“₯ 2.6M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge torchvision
PyTorch Image Models (πŸ₯‡41 Β· ⭐ 34K Β· πŸ“‰) - The largest collection of PyTorch image encoders /.. Apache-2 - [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 4.9K Β· πŸ“₯ 7.8M Β· πŸ“¦ 57K Β· πŸ“‹ 980 - 5% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/rwightman/pytorch-image-models
- [PyPi](https://pypi.org/project/timm) (πŸ“₯ 7.9M / month Β· πŸ“¦ 1.1K Β· ⏱️ 23.02.2025): 
pip install timm
- [Conda](https://anaconda.org/conda-forge/timm) (πŸ“₯ 390K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge timm
Albumentations (πŸ₯‡41 Β· ⭐ 15K) - Fast and flexible image augmentation library. Paper about.. MIT - [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 1.7K Β· πŸ“¦ 38K Β· πŸ“‹ 1.2K - 17% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/albumentations-team/albumentations
- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 6.3M / month Β· πŸ“¦ 720 Β· ⏱️ 16.05.2025): 
pip install albumentations
- [Conda](https://anaconda.org/conda-forge/albumentations) (πŸ“₯ 290K Β· ⏱️ 16.05.2025): 
conda install -c conda-forge albumentations
MoviePy (πŸ₯‡41 Β· ⭐ 13K Β· πŸ“ˆ) - Video editing with Python. MIT - [GitHub](https://github.com/Zulko/moviepy) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 1.8K Β· πŸ“¦ 63K Β· πŸ“‹ 1.6K - 2% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/Zulko/moviepy
- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 3.2M / month Β· πŸ“¦ 1.2K Β· ⏱️ 21.05.2025): 
pip install moviepy
- [Conda](https://anaconda.org/conda-forge/moviepy) (πŸ“₯ 300K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge moviepy
deepface (πŸ₯‡39 Β· ⭐ 19K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT - [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 2.6K Β· πŸ“¦ 7.8K Β· πŸ“‹ 1.2K - 0% open Β· ⏱️ 17.05.2025): 
git clone https://github.com/serengil/deepface
- [PyPi](https://pypi.org/project/deepface) (πŸ“₯ 620K / month Β· πŸ“¦ 44 Β· ⏱️ 17.08.2024): 
pip install deepface
InsightFace (πŸ₯ˆ38 Β· ⭐ 25K) - State-of-the-art 2D and 3D Face Analysis Project. MIT - [GitHub](https://github.com/deepinsight/insightface) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 5.5K Β· πŸ“₯ 8.1M Β· πŸ“¦ 4.4K Β· πŸ“‹ 2.6K - 45% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/deepinsight/insightface
- [PyPi](https://pypi.org/project/insightface) (πŸ“₯ 260K / month Β· πŸ“¦ 30 Β· ⏱️ 17.12.2022): 
pip install insightface
imageio (πŸ₯ˆ38 Β· ⭐ 1.6K) - Python library for reading and writing image data. BSD-2 - [GitHub](https://github.com/imageio/imageio) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 310 Β· πŸ“₯ 1.8K Β· πŸ“¦ 180K Β· πŸ“‹ 610 - 16% open Β· ⏱️ 21.02.2025): 
git clone https://github.com/imageio/imageio
- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 26M / month Β· πŸ“¦ 2.6K Β· ⏱️ 20.01.2025): 
pip install imageio
- [Conda](https://anaconda.org/conda-forge/imageio) (πŸ“₯ 7.9M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge imageio
Kornia (πŸ₯ˆ37 Β· ⭐ 10K) - Geometric Computer Vision Library for Spatial AI. Apache-2 - [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 1K Β· πŸ“₯ 1.9K Β· πŸ“¦ 16K Β· πŸ“‹ 980 - 30% open Β· ⏱️ 20.05.2025): 
git clone https://github.com/kornia/kornia
- [PyPi](https://pypi.org/project/kornia) (πŸ“₯ 2.7M / month Β· πŸ“¦ 340 Β· ⏱️ 08.05.2025): 
pip install kornia
- [Conda](https://anaconda.org/conda-forge/kornia) (πŸ“₯ 230K Β· ⏱️ 08.05.2025): 
conda install -c conda-forge kornia
opencv-python (πŸ₯ˆ35 Β· ⭐ 4.8K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT - [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 900 Β· πŸ“¦ 590K Β· πŸ“‹ 860 - 17% open Β· ⏱️ 19.05.2025): 
git clone https://github.com/opencv/opencv-python
- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 18M / month Β· πŸ“¦ 13K Β· ⏱️ 16.01.2025): 
pip install opencv-python
Wand (πŸ₯ˆ33 Β· ⭐ 1.4K) - The ctypes-based simple ImageMagick binding for Python. MIT - [GitHub](https://github.com/emcconville/wand) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 200 Β· πŸ“₯ 52K Β· πŸ“¦ 21K Β· πŸ“‹ 430 - 6% open Β· ⏱️ 01.04.2025): 
git clone https://github.com/emcconville/wand
- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 1.1M / month Β· πŸ“¦ 260 Β· ⏱️ 03.11.2023): 
pip install wand
- [Conda](https://anaconda.org/conda-forge/wand) (πŸ“₯ 140K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge wand
PaddleSeg (πŸ₯ˆ32 Β· ⭐ 9K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.7K Β· πŸ“¦ 1.4K Β· πŸ“‹ 2.2K - 0% open Β· ⏱️ 25.12.2024): 
git clone https://github.com/PaddlePaddle/PaddleSeg
- [PyPi](https://pypi.org/project/paddleseg) (πŸ“₯ 1.5K / month Β· πŸ“¦ 7 Β· ⏱️ 30.11.2022): 
pip install paddleseg
ImageHash (πŸ₯ˆ32 Β· ⭐ 3.6K) - A Python Perceptual Image Hashing Module. BSD-2 - [GitHub](https://github.com/JohannesBuchner/imagehash) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 340 Β· πŸ“¦ 17K Β· πŸ“‹ 150 - 15% open Β· ⏱️ 17.04.2025): 
git clone https://github.com/JohannesBuchner/imagehash
- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 1.9M / month Β· πŸ“¦ 270 Β· ⏱️ 01.02.2025): 
pip install ImageHash
- [Conda](https://anaconda.org/conda-forge/imagehash) (πŸ“₯ 450K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge imagehash
lightly (πŸ₯ˆ32 Β· ⭐ 3.4K) - A python library for self-supervised learning on images. MIT - [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 290 Β· πŸ“¦ 450 Β· πŸ“‹ 600 - 12% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/lightly-ai/lightly
- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 62K / month Β· πŸ“¦ 20 Β· ⏱️ 22.04.2025): 
pip install lightly
detectron2 (πŸ₯ˆ31 Β· ⭐ 32K Β· πŸ“‰) - Detectron2 is a platform for object detection,.. Apache-2 - [GitHub](https://github.com/facebookresearch/detectron2) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 7.5K Β· πŸ“‹ 3.6K - 14% open Β· ⏱️ 24.04.2025): 
git clone https://github.com/facebookresearch/detectron2
- [PyPi](https://pypi.org/project/detectron2) (πŸ“¦ 13 Β· ⏱️ 06.02.2020): 
pip install detectron2
- [Conda](https://anaconda.org/conda-forge/detectron2) (πŸ“₯ 690K Β· ⏱️ 13.05.2025): 
conda install -c conda-forge detectron2
vit-pytorch (πŸ₯ˆ30 Β· ⭐ 23K) - Implementation of Vision Transformer, a simple way to achieve.. MIT - [GitHub](https://github.com/lucidrains/vit-pytorch) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 3.3K Β· πŸ“¦ 650 Β· πŸ“‹ 280 - 49% open Β· ⏱️ 05.03.2025): 
git clone https://github.com/lucidrains/vit-pytorch
- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 19K / month Β· πŸ“¦ 17 Β· ⏱️ 05.03.2025): 
pip install vit-pytorch
sahi (πŸ₯ˆ30 Β· ⭐ 4.6K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT - [GitHub](https://github.com/obss/sahi) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 640 Β· πŸ“₯ 36K Β· πŸ“¦ 1.8K Β· ⏱️ 15.05.2025): 
git clone https://github.com/obss/sahi
- [PyPi](https://pypi.org/project/sahi) (πŸ“₯ 140K / month Β· πŸ“¦ 35 Β· ⏱️ 05.05.2025): 
pip install sahi
- [Conda](https://anaconda.org/conda-forge/sahi) (πŸ“₯ 100K Β· ⏱️ 05.05.2025): 
conda install -c conda-forge sahi
PaddleDetection (πŸ₯ˆ29 Β· ⭐ 13K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 2.9K Β· πŸ“‹ 5.6K - 17% open Β· ⏱️ 16.04.2025): 
git clone https://github.com/PaddlePaddle/PaddleDetection
- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 890 / month Β· πŸ“¦ 2 Β· ⏱️ 19.09.2022): 
pip install paddledet
doctr (πŸ₯ˆ29 Β· ⭐ 4.7K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2 - [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 500 Β· πŸ“₯ 5.4M Β· πŸ“‹ 410 - 6% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/mindee/doctr
- [PyPi](https://pypi.org/project/python-doctr) (πŸ“₯ 100K / month Β· πŸ“¦ 14 Β· ⏱️ 30.01.2025): 
pip install python-doctr
Face Alignment (πŸ₯‰28 Β· ⭐ 7.3K Β· πŸ’€) - 2D and 3D Face alignment library build using pytorch. BSD-3 - [GitHub](https://github.com/1adrianb/face-alignment) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 1.4K Β· πŸ“¦ 21 Β· πŸ“‹ 320 - 24% open Β· ⏱️ 30.08.2024): 
git clone https://github.com/1adrianb/face-alignment
- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 75K / month Β· πŸ“¦ 10 Β· ⏱️ 17.08.2023): 
pip install face-alignment
vidgear (πŸ₯‰28 Β· ⭐ 3.5K Β· πŸ’€) - A High-performance cross-platform Video Processing Python.. Apache-2 - [GitHub](https://github.com/abhiTronix/vidgear) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 260 Β· πŸ“₯ 2.3K Β· πŸ“¦ 720 Β· πŸ“‹ 300 - 2% open Β· ⏱️ 22.06.2024): 
git clone https://github.com/abhiTronix/vidgear
- [PyPi](https://pypi.org/project/vidgear) (πŸ“₯ 28K / month Β· πŸ“¦ 15 Β· ⏱️ 22.06.2024): 
pip install vidgear
Norfair (πŸ₯‰28 Β· ⭐ 2.5K) - Lightweight Python library for adding real-time multi-object tracking.. BSD-3 - [GitHub](https://github.com/tryolabs/norfair) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 260 Β· πŸ“₯ 350 Β· πŸ“¦ 320 Β· πŸ“‹ 180 - 16% open Β· ⏱️ 30.04.2025): 
git clone https://github.com/tryolabs/norfair
- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 29K / month Β· πŸ“¦ 9 Β· ⏱️ 30.04.2025): 
pip install norfair
mtcnn (πŸ₯‰28 Β· ⭐ 2.4K Β· πŸ’€) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT - [GitHub](https://github.com/ipazc/mtcnn) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 530 Β· πŸ“₯ 52 Β· πŸ“¦ 8.8K Β· πŸ“‹ 130 - 37% open Β· ⏱️ 08.10.2024): 
git clone https://github.com/ipazc/mtcnn
- [PyPi](https://pypi.org/project/mtcnn) (πŸ“₯ 170K / month Β· πŸ“¦ 73 Β· ⏱️ 08.10.2024): 
pip install mtcnn
- [Conda](https://anaconda.org/conda-forge/mtcnn) (πŸ“₯ 15K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge mtcnn
pyvips (πŸ₯‰28 Β· ⭐ 700) - python binding for libvips using cffi. MIT - [GitHub](https://github.com/libvips/pyvips) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 49 Β· πŸ“¦ 1.1K Β· πŸ“‹ 460 - 42% open Β· ⏱️ 17.05.2025): 
git clone https://github.com/libvips/pyvips
- [PyPi](https://pypi.org/project/pyvips) (πŸ“₯ 120K / month Β· πŸ“¦ 94 Β· ⏱️ 28.04.2025): 
pip install pyvips
- [Conda](https://anaconda.org/conda-forge/pyvips) (πŸ“₯ 220K Β· ⏱️ 29.04.2025): 
conda install -c conda-forge pyvips
facenet-pytorch (πŸ₯‰27 Β· ⭐ 4.9K Β· πŸ’€) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT - [GitHub](https://github.com/timesler/facenet-pytorch) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 940 Β· πŸ“₯ 1.8M Β· πŸ“¦ 3.6K Β· πŸ“‹ 190 - 41% open Β· ⏱️ 02.08.2024): 
git clone https://github.com/timesler/facenet-pytorch
- [PyPi](https://pypi.org/project/facenet-pytorch) (πŸ“₯ 130K / month Β· πŸ“¦ 51 Β· ⏱️ 29.04.2024): 
pip install facenet-pytorch
mahotas (πŸ₯‰27 Β· ⭐ 870) - Computer Vision in Python. MIT - [GitHub](https://github.com/luispedro/mahotas) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 150 Β· πŸ“¦ 1.5K Β· πŸ“‹ 92 - 22% open Β· ⏱️ 25.02.2025): 
git clone https://github.com/luispedro/mahotas
- [PyPi](https://pypi.org/project/mahotas) (πŸ“₯ 24K / month Β· πŸ“¦ 63 Β· ⏱️ 17.07.2024): 
pip install mahotas
- [Conda](https://anaconda.org/conda-forge/mahotas) (πŸ“₯ 630K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge mahotas
Image Deduplicator (πŸ₯‰26 Β· ⭐ 5.4K) - Finding duplicate images made easy!. Apache-2 - [GitHub](https://github.com/idealo/imagededup) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 460 Β· πŸ“₯ 4 Β· πŸ“¦ 190 Β· πŸ“‹ 130 - 28% open Β· ⏱️ 07.05.2025): 
git clone https://github.com/idealo/imagededup
- [PyPi](https://pypi.org/project/imagededup) (πŸ“₯ 24K / month Β· πŸ“¦ 26 Β· ⏱️ 13.05.2025): 
pip install imagededup
CellProfiler (πŸ₯‰26 Β· ⭐ 980) - An open-source application for biological image analysis. BSD-3 - [GitHub](https://github.com/CellProfiler/CellProfiler) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 390 Β· πŸ“₯ 8.7K Β· πŸ“¦ 28 Β· πŸ“‹ 3.3K - 9% open Β· ⏱️ 20.05.2025): 
git clone https://github.com/CellProfiler/CellProfiler
- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 1K / month Β· πŸ“¦ 2 Β· ⏱️ 16.09.2024): 
pip install cellprofiler
MMF (πŸ₯‰25 Β· ⭐ 5.6K) - A modular framework for vision & language multimodal research from.. BSD-3 - [GitHub](https://github.com/facebookresearch/mmf) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 920 Β· πŸ“¦ 22 Β· πŸ“‹ 690 - 21% open Β· ⏱️ 24.04.2025): 
git clone https://github.com/facebookresearch/mmf
- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 340 / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2020): 
pip install mmf
pytorchvideo (πŸ₯‰25 Β· ⭐ 3.4K) - A deep learning library for video understanding research. Apache-2 - [GitHub](https://github.com/facebookresearch/pytorchvideo) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 410 Β· πŸ“‹ 210 - 50% open Β· ⏱️ 25.01.2025): 
git clone https://github.com/facebookresearch/pytorchvideo
- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 58K / month Β· πŸ“¦ 24 Β· ⏱️ 20.01.2022): 
pip install pytorchvideo
tensorflow-graphics (πŸ₯‰25 Β· ⭐ 2.8K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2 - [GitHub](https://github.com/tensorflow/graphics) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 370 Β· πŸ“‹ 240 - 60% open Β· ⏱️ 03.02.2025): 
git clone https://github.com/tensorflow/graphics
- [PyPi](https://pypi.org/project/tensorflow-graphics) (πŸ“₯ 34K / month Β· πŸ“¦ 11 Β· ⏱️ 03.12.2021): 
pip install tensorflow-graphics
segmentation_models (πŸ₯‰24 Β· ⭐ 4.8K Β· πŸ’€) - Segmentation models with pretrained backbones. Keras.. MIT - [GitHub](https://github.com/qubvel/segmentation_models) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 1K Β· πŸ“‹ 540 - 50% open Β· ⏱️ 21.08.2024): 
git clone https://github.com/qubvel/segmentation_models
- [PyPi](https://pypi.org/project/segmentation_models) (πŸ“₯ 28K / month Β· πŸ“¦ 28 Β· ⏱️ 10.01.2020): 
pip install segmentation_models
ffcv (πŸ₯‰23 Β· ⭐ 2.9K Β· πŸ’€) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2 - [GitHub](https://github.com/libffcv/ffcv) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 180 Β· πŸ“¦ 70 Β· πŸ“‹ 290 - 38% open Β· ⏱️ 06.05.2024): 
git clone https://github.com/libffcv/ffcv
- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 680 / month Β· πŸ“¦ 1 Β· ⏱️ 28.01.2022): 
pip install ffcv
kubric (πŸ₯‰22 Β· ⭐ 2.5K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2 - [GitHub](https://github.com/google-research/kubric) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 240 Β· πŸ“¦ 7 Β· πŸ“‹ 190 - 33% open Β· ⏱️ 06.05.2025): 
git clone https://github.com/google-research/kubric
- [PyPi](https://pypi.org/project/kubric-nightly) (πŸ“₯ 7.7K / month Β· ⏱️ 27.12.2023): 
pip install kubric-nightly
icevision (πŸ₯‰22 Β· ⭐ 860 Β· πŸ’€) - An Agnostic Computer Vision Framework - Pluggable to any.. Apache-2 - [GitHub](https://github.com/airctic/icevision) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 130 Β· πŸ“‹ 570 - 10% open Β· ⏱️ 31.10.2024): 
git clone https://github.com/airctic/icevision
- [PyPi](https://pypi.org/project/icevision) (πŸ“₯ 3.3K / month Β· πŸ“¦ 6 Β· ⏱️ 10.02.2022): 
pip install icevision
PySlowFast (πŸ₯‰21 Β· ⭐ 6.9K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2 - [GitHub](https://github.com/facebookresearch/SlowFast) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 1.2K Β· πŸ“¦ 23 Β· πŸ“‹ 710 - 58% open Β· ⏱️ 26.11.2024): 
git clone https://github.com/facebookresearch/SlowFast
- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 32 / month Β· ⏱️ 15.01.2020): 
pip install pyslowfast
Image Super-Resolution (πŸ₯‰21 Β· ⭐ 4.7K) - Super-scale your images and run experiments with.. Apache-2 - [GitHub](https://github.com/idealo/image-super-resolution) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 760 Β· πŸ“‹ 220 - 48% open Β· ⏱️ 18.12.2024): 
git clone https://github.com/idealo/image-super-resolution
- [PyPi](https://pypi.org/project/ISR) (πŸ“₯ 6.2K / month Β· πŸ“¦ 5 Β· ⏱️ 08.01.2020): 
pip install ISR
- [Docker Hub](https://hub.docker.com/r/idealo/image-super-resolution-gpu) (πŸ“₯ 280 Β· ⭐ 1 Β· ⏱️ 01.04.2019): 
docker pull idealo/image-super-resolution-gpu
scenic (πŸ₯‰17 Β· ⭐ 3.5K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2 - [GitHub](https://github.com/google-research/scenic) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 450 Β· πŸ“‹ 270 - 56% open Β· ⏱️ 05.05.2025): 
git clone https://github.com/google-research/scenic
Show 26 hidden projects... - scikit-image (πŸ₯‡42 Β· ⭐ 6.2K) - Image processing in Python. ❗Unlicensed - MMDetection (πŸ₯ˆ37 Β· ⭐ 31K Β· πŸ’€) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 - glfw (πŸ₯ˆ37 Β· ⭐ 14K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib - Face Recognition (πŸ₯ˆ36 Β· ⭐ 55K Β· πŸ’€) - The worlds simplest facial recognition api for Python.. MIT - imgaug (πŸ₯ˆ36 Β· ⭐ 15K Β· πŸ’€) - Image augmentation for machine learning experiments. MIT - PyTorch3D (πŸ₯ˆ32 Β· ⭐ 9.3K) - PyTorch3D is FAIRs library of reusable components for.. ❗Unlicensed - imageai (πŸ₯ˆ31 Β· ⭐ 8.8K Β· πŸ’€) - A python library built to empower developers to build applications.. MIT - imutils (πŸ₯ˆ31 Β· ⭐ 4.6K Β· πŸ’€) - A series of convenience functions to make basic image processing.. MIT - GluonCV (πŸ₯‰28 Β· ⭐ 5.9K Β· πŸ’€) - Gluon CV Toolkit. Apache-2 - layout-parser (πŸ₯‰28 Β· ⭐ 5.3K Β· πŸ’€) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2 - Augmentor (πŸ₯‰27 Β· ⭐ 5.1K Β· πŸ’€) - Image augmentation library in Python for machine learning. MIT - chainercv (πŸ₯‰26 Β· ⭐ 1.5K Β· πŸ’€) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT - Pillow-SIMD (πŸ₯‰25 Β· ⭐ 2.2K Β· πŸ’€) - The friendly PIL fork. ❗️PIL - Classy Vision (πŸ₯‰23 Β· ⭐ 1.6K Β· πŸ’€) - An end-to-end PyTorch framework for image and video.. MIT - deep-daze (πŸ₯‰22 Β· ⭐ 4.4K Β· πŸ’€) - Simple command line tool for text to image generation using.. MIT - vissl (πŸ₯‰22 Β· ⭐ 3.3K Β· πŸ’€) - VISSL is FAIRs library of extensible, modular and scalable.. MIT - Luminoth (πŸ₯‰22 Β· ⭐ 2.4K Β· πŸ’€) - Deep Learning toolkit for Computer Vision. BSD-3 - detecto (πŸ₯‰22 Β· ⭐ 620 Β· πŸ’€) - Build fully-functioning computer vision models with PyTorch. MIT - DEβ«ΆTR (πŸ₯‰21 Β· ⭐ 14K Β· πŸ’€) - End-to-End Object Detection with Transformers. Apache-2 - solt (πŸ₯‰21 Β· ⭐ 260) - Streaming over lightweight data transformations. MIT - image-match (πŸ₯‰20 Β· ⭐ 3K Β· πŸ’€) - Quickly search over billions of images. Apache-2 - nude.py (πŸ₯‰20 Β· ⭐ 930 Β· πŸ’€) - Nudity detection with Python. MIT - pycls (πŸ₯‰18 Β· ⭐ 2.2K Β· πŸ’€) - Codebase for Image Classification Research, written in PyTorch. MIT - Caer (πŸ₯‰17 Β· ⭐ 790 Β· πŸ’€) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT - Torch Points 3D (πŸ₯‰17 Β· ⭐ 240 Β· πŸ’€) - Pytorch framework for doing deep learning on point.. BSD-3 - HugsVision (πŸ₯‰14 Β· ⭐ 200 Β· πŸ’€) - HugsVision is a easy to use huggingface wrapper for state-of-.. MIT huggingface


Graph Data

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Libraries for graph processing, clustering, embedding, and machine learning tasks.

networkx (πŸ₯‡44 Β· ⭐ 16K) - Network Analysis in Python. BSD-3 - [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 780 Β· πŸ”€ 3.3K Β· πŸ“₯ 110 Β· πŸ“¦ 410K Β· πŸ“‹ 3.5K - 10% open Β· ⏱️ 19.05.2025): 
git clone https://github.com/networkx/networkx
- [PyPi](https://pypi.org/project/networkx) (πŸ“₯ 94M / month Β· πŸ“¦ 11K Β· ⏱️ 09.05.2025): 
pip install networkx
- [Conda](https://anaconda.org/conda-forge/networkx) (πŸ“₯ 22M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge networkx
PyTorch Geometric (πŸ₯‡40 Β· ⭐ 22K) - Graph Neural Network Library for PyTorch. MIT - [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 540 Β· πŸ”€ 3.8K Β· πŸ“¦ 9.5K Β· πŸ“‹ 3.9K - 30% open Β· ⏱️ 20.05.2025): 
git clone https://github.com/pyg-team/pytorch_geometric
- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 630K / month Β· πŸ“¦ 360 Β· ⏱️ 26.09.2024): 
pip install torch-geometric
- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (πŸ“₯ 160K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pytorch_geometric
dgl (πŸ₯‡36 Β· ⭐ 14K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2 - [GitHub](https://github.com/dmlc/dgl) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 3K Β· πŸ“¦ 4K Β· πŸ“‹ 2.9K - 18% open Β· ⏱️ 11.02.2025): 
git clone https://github.com/dmlc/dgl
- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 100K / month Β· πŸ“¦ 150 Β· ⏱️ 13.05.2024): 
pip install dgl
PyKEEN (πŸ₯ˆ31 Β· ⭐ 1.8K) - A Python library for learning and evaluating knowledge graph embeddings. MIT - [GitHub](https://github.com/pykeen/pykeen) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 200 Β· πŸ“₯ 240 Β· πŸ“¦ 320 Β· πŸ“‹ 590 - 19% open Β· ⏱️ 24.04.2025): 
git clone https://github.com/pykeen/pykeen
- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 13K / month Β· πŸ“¦ 21 Β· ⏱️ 24.04.2025): 
pip install pykeen
pygraphistry (πŸ₯ˆ29 Β· ⭐ 2.3K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3 - [GitHub](https://github.com/graphistry/pygraphistry) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 220 Β· πŸ“¦ 150 Β· πŸ“‹ 360 - 53% open Β· ⏱️ 16.05.2025): 
git clone https://github.com/graphistry/pygraphistry
- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 17K / month Β· πŸ“¦ 6 Β· ⏱️ 16.05.2025): 
pip install graphistry
pytorch_geometric_temporal (πŸ₯ˆ28 Β· ⭐ 2.8K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT - [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 390 Β· πŸ“‹ 200 - 20% open Β· ⏱️ 24.03.2025): 
git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal
- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 5.9K / month Β· πŸ“¦ 7 Β· ⏱️ 28.03.2025): 
pip install torch-geometric-temporal
ogb (πŸ₯ˆ28 Β· ⭐ 2K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT - [GitHub](https://github.com/snap-stanford/ogb) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 400 Β· πŸ“¦ 2.5K Β· πŸ“‹ 310 - 11% open Β· ⏱️ 06.05.2025): 
git clone https://github.com/snap-stanford/ogb
- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 35K / month Β· πŸ“¦ 73 Β· ⏱️ 07.04.2023): 
pip install ogb
- [Conda](https://anaconda.org/conda-forge/ogb) (πŸ“₯ 54K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge ogb
Node2Vec (πŸ₯ˆ25 Β· ⭐ 1.3K Β· πŸ’€) - Implementation of the node2vec algorithm. MIT - [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 250 Β· πŸ“¦ 910 Β· πŸ“‹ 97 - 5% open Β· ⏱️ 02.08.2024): 
git clone https://github.com/eliorc/node2vec
- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 26K / month Β· πŸ“¦ 31 Β· ⏱️ 02.08.2024): 
pip install node2vec
- [Conda](https://anaconda.org/conda-forge/node2vec) (πŸ“₯ 35K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge node2vec
torch-cluster (πŸ₯ˆ25 Β· ⭐ 870) - PyTorch Extension Library of Optimized Graph Cluster.. MIT - [GitHub](https://github.com/rusty1s/pytorch_cluster) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 150 Β· πŸ“‹ 180 - 17% open Β· ⏱️ 20.04.2025): 
git clone https://github.com/rusty1s/pytorch_cluster
- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 20K / month Β· πŸ“¦ 62 Β· ⏱️ 12.10.2023): 
pip install torch-cluster
- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (πŸ“₯ 360K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pytorch_cluster
GraphVite (πŸ₯‰15 Β· ⭐ 1.3K Β· πŸ’€) - GraphVite: A General and High-performance Graph Embedding.. Apache-2 - [GitHub](https://github.com/DeepGraphLearning/graphvite) (πŸ‘¨β€πŸ’» 1 Β· πŸ”€ 150 Β· πŸ“‹ 110 - 47% open Β· ⏱️ 14.06.2024): 
git clone https://github.com/DeepGraphLearning/graphvite
- [Conda](https://anaconda.org/milagraph/graphvite) (πŸ“₯ 5.1K Β· ⏱️ 25.03.2025): 
conda install -c milagraph graphvite
Show 26 hidden projects... - igraph (πŸ₯‡32 Β· ⭐ 1.4K) - Python interface for igraph. ❗️GPL-2.0 - Spektral (πŸ₯ˆ28 Β· ⭐ 2.4K Β· πŸ’€) - Graph Neural Networks with Keras and Tensorflow 2. MIT - StellarGraph (πŸ₯ˆ27 Β· ⭐ 3K Β· πŸ’€) - StellarGraph - Machine Learning on Graphs. Apache-2 - pygal (πŸ₯ˆ27 Β· ⭐ 2.7K Β· πŸ’€) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 - Paddle Graph Learning (πŸ₯ˆ26 Β· ⭐ 1.6K Β· πŸ’€) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 - AmpliGraph (πŸ₯ˆ25 Β· ⭐ 2.2K Β· πŸ’€) - Python library for Representation Learning on Knowledge.. Apache-2 - Karate Club (πŸ₯‰24 Β· ⭐ 2.2K Β· πŸ’€) - Karate Club: An API Oriented Open-source Python Framework.. ❗️GPL-3.0 - PyTorch-BigGraph (πŸ₯‰23 Β· ⭐ 3.4K Β· πŸ’€) - Generate embeddings from large-scale graph-structured.. BSD-3 - graph4nlp (πŸ₯‰22 Β· ⭐ 1.7K Β· πŸ’€) - Graph4nlp is the library for the easy use of Graph.. Apache-2 - graph-nets (πŸ₯‰21 Β· ⭐ 5.4K Β· πŸ’€) - Build Graph Nets in Tensorflow. Apache-2 - jraph (πŸ₯‰21 Β· ⭐ 1.4K Β· πŸ’€) - A Graph Neural Network Library in Jax. Apache-2 - pyRDF2Vec (πŸ₯‰21 Β· ⭐ 260 Β· πŸ’€) - Python Implementation and Extension of RDF2Vec. MIT - DeepWalk (πŸ₯‰20 Β· ⭐ 2.7K Β· πŸ’€) - DeepWalk - Deep Learning for Graphs. ❗️GPL-3.0 - DIG (πŸ₯‰20 Β· ⭐ 2K Β· πŸ’€) - A library for graph deep learning research. ❗️GPL-3.0 - deepsnap (πŸ₯‰20 Β· ⭐ 560 Β· πŸ’€) - Python library assists deep learning on graphs. MIT - GraphGym (πŸ₯‰19 Β· ⭐ 1.8K Β· πŸ’€) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT - DeepGraph (πŸ₯‰18 Β· ⭐ 290) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 - Sematch (πŸ₯‰17 Β· ⭐ 440 Β· πŸ’€) - semantic similarity framework for knowledge graph. Apache-2 - Euler (πŸ₯‰16 Β· ⭐ 2.9K Β· πŸ’€) - A distributed graph deep learning framework. Apache-2 - AutoGL (πŸ₯‰16 Β· ⭐ 1.1K Β· πŸ’€) - An autoML framework & toolkit for machine learning on graphs. Apache-2 - kglib (πŸ₯‰16 Β· ⭐ 550 Β· πŸ’€) - TypeDB-ML is the Machine Learning integrations library for TypeDB. Apache-2 - ptgnn (πŸ₯‰15 Β· ⭐ 380 Β· πŸ’€) - A PyTorch Graph Neural Network Library. MIT - GraphEmbedding (πŸ₯‰14 Β· ⭐ 3.8K Β· πŸ’€) - Implementation and experiments of graph embedding.. MIT - GraphSAGE (πŸ₯‰14 Β· ⭐ 3.5K Β· πŸ’€) - Representation learning on large graphs using stochastic.. MIT - OpenNE (πŸ₯‰14 Β· ⭐ 1.7K Β· πŸ’€) - An Open-Source Package for Network Embedding (NE). MIT - OpenKE (πŸ₯‰13 Β· ⭐ 3.9K Β· πŸ’€) - An Open-Source Package for Knowledge Embedding (KE). ❗Unlicensed


Audio Data

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Libraries for audio analysis, manipulation, transformation, and extraction, as well as speech recognition and music generation tasks.

speechbrain (πŸ₯‡39 Β· ⭐ 9.8K) - A PyTorch-based Speech Toolkit. Apache-2 - [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 1.5K Β· πŸ“¦ 3.6K Β· πŸ“‹ 1.2K - 12% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/speechbrain/speechbrain
- [PyPi](https://pypi.org/project/speechbrain) (πŸ“₯ 1.1M / month Β· πŸ“¦ 79 Β· ⏱️ 07.04.2025): 
pip install speechbrain
espnet (πŸ₯‡38 Β· ⭐ 9.1K) - End-to-End Speech Processing Toolkit. Apache-2 - [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 490 Β· πŸ”€ 2.2K Β· πŸ“₯ 84 Β· πŸ“¦ 450 Β· πŸ“‹ 2.5K - 14% open Β· ⏱️ 20.05.2025): 
git clone https://github.com/espnet/espnet
- [PyPi](https://pypi.org/project/espnet) (πŸ“₯ 18K / month Β· πŸ“¦ 12 Β· ⏱️ 04.12.2024): 
pip install espnet
SpeechRecognition (πŸ₯ˆ35 Β· ⭐ 8.7K) - Speech recognition module for Python, supporting several.. BSD-3 - [GitHub](https://github.com/Uberi/speech_recognition) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 2.4K Β· πŸ“¦ 21 Β· πŸ“‹ 670 - 48% open Β· ⏱️ 18.05.2025): 
git clone https://github.com/Uberi/speech_recognition
- [PyPi](https://pypi.org/project/SpeechRecognition) (πŸ“₯ 1.4M / month Β· πŸ“¦ 730 Β· ⏱️ 12.05.2025): 
pip install SpeechRecognition
- [Conda](https://anaconda.org/conda-forge/speechrecognition) (πŸ“₯ 260K Β· ⏱️ 12.05.2025): 
conda install -c conda-forge speechrecognition
librosa (πŸ₯ˆ35 Β· ⭐ 7.6K) - Python library for audio and music analysis. ISC - [GitHub](https://github.com/librosa/librosa) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 980 Β· πŸ“‹ 1.2K - 5% open Β· ⏱️ 19.05.2025): 
git clone https://github.com/librosa/librosa
- [PyPi](https://pypi.org/project/librosa) (πŸ“₯ 3.6M / month Β· πŸ“¦ 1.6K Β· ⏱️ 11.03.2025): 
pip install librosa
- [Conda](https://anaconda.org/conda-forge/librosa) (πŸ“₯ 900K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge librosa
torchaudio (πŸ₯ˆ35 Β· ⭐ 2.7K) - Data manipulation and transformation for audio signal.. BSD-2 - [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 690 Β· πŸ“‹ 1K - 28% open Β· ⏱️ 20.05.2025): 
git clone https://github.com/pytorch/audio
- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 13M / month Β· πŸ“¦ 1.9K Β· ⏱️ 23.04.2025): 
pip install torchaudio
spleeter (πŸ₯ˆ33 Β· ⭐ 27K) - Deezer source separation library including pretrained models. MIT - [GitHub](https://github.com/deezer/spleeter) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 2.9K Β· πŸ“₯ 4M Β· πŸ“¦ 1K Β· πŸ“‹ 820 - 31% open Β· ⏱️ 02.04.2025): 
git clone https://github.com/deezer/spleeter
- [PyPi](https://pypi.org/project/spleeter) (πŸ“₯ 34K / month Β· πŸ“¦ 18 Β· ⏱️ 03.04.2025): 
pip install spleeter
- [Conda](https://anaconda.org/conda-forge/spleeter) (πŸ“₯ 110K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge spleeter
Magenta (πŸ₯ˆ33 Β· ⭐ 19K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2 - [GitHub](https://github.com/magenta/magenta) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 3.7K Β· πŸ“¦ 580 Β· πŸ“‹ 1K - 41% open Β· ⏱️ 17.01.2025): 
git clone https://github.com/magenta/magenta
- [PyPi](https://pypi.org/project/magenta) (πŸ“₯ 8.1K / month Β· πŸ“¦ 5 Β· ⏱️ 01.08.2022): 
pip install magenta
python-soundfile (πŸ₯ˆ32 Β· ⭐ 770) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3 - [GitHub](https://github.com/bastibe/python-soundfile) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 110 Β· πŸ“₯ 21K Β· πŸ“¦ 65K Β· πŸ“‹ 260 - 46% open Β· ⏱️ 28.04.2025): 
git clone https://github.com/bastibe/python-soundfile
- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 6.3M / month Β· πŸ“¦ 1.1K Β· ⏱️ 25.01.2025): 
pip install soundfile
- [Conda](https://anaconda.org/anaconda/pysoundfile): 
conda install -c anaconda pysoundfile
Porcupine (πŸ₯ˆ31 Β· ⭐ 4.1K) - On-device wake word detection powered by deep learning. Apache-2 - [GitHub](https://github.com/Picovoice/porcupine) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 520 Β· πŸ“¦ 48 Β· πŸ“‹ 570 - 0% open Β· ⏱️ 06.05.2025): 
git clone https://github.com/Picovoice/Porcupine
- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 24K / month Β· πŸ“¦ 38 Β· ⏱️ 05.02.2025): 
pip install pvporcupine
audiomentations (πŸ₯ˆ31 Β· ⭐ 2K) - A Python library for audio data augmentation. Useful for making.. MIT - [GitHub](https://github.com/iver56/audiomentations) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 200 Β· πŸ“¦ 790 Β· πŸ“‹ 200 - 26% open Β· ⏱️ 05.05.2025): 
git clone https://github.com/iver56/audiomentations
- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 270K / month Β· πŸ“¦ 28 Β· ⏱️ 05.05.2025): 
pip install audiomentations
tinytag (πŸ₯‰29 Β· ⭐ 760) - Python library for reading audio file metadata. MIT - [GitHub](https://github.com/tinytag/tinytag) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 100 Β· πŸ“¦ 1.2K Β· πŸ“‹ 120 - 3% open Β· ⏱️ 05.05.2025): 
git clone https://github.com/devsnd/tinytag
- [PyPi](https://pypi.org/project/tinytag) (πŸ“₯ 69K / month Β· πŸ“¦ 120 Β· ⏱️ 23.04.2025): 
pip install tinytag
pyAudioAnalysis (πŸ₯‰28 Β· ⭐ 6.1K) - Python Audio Analysis Library: Feature Extraction,.. Apache-2 - [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 1.2K Β· πŸ“¦ 640 Β· πŸ“‹ 320 - 62% open Β· ⏱️ 28.03.2025): 
git clone https://github.com/tyiannak/pyAudioAnalysis
- [PyPi](https://pypi.org/project/pyAudioAnalysis) (πŸ“₯ 17K / month Β· πŸ“¦ 12 Β· ⏱️ 07.02.2022): 
pip install pyAudioAnalysis
Madmom (πŸ₯‰27 Β· ⭐ 1.4K Β· πŸ’€) - Python audio and music signal processing library. BSD-3 - [GitHub](https://github.com/CPJKU/madmom) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 240 Β· πŸ“¦ 500 Β· πŸ“‹ 280 - 24% open Β· ⏱️ 25.08.2024): 
git clone https://github.com/CPJKU/madmom
- [PyPi](https://pypi.org/project/madmom) (πŸ“₯ 3.7K / month Β· πŸ“¦ 27 Β· ⏱️ 14.11.2018): 
pip install madmom
DDSP (πŸ₯‰25 Β· ⭐ 3K Β· πŸ’€) - DDSP: Differentiable Digital Signal Processing. Apache-2 - [GitHub](https://github.com/magenta/ddsp) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 340 Β· πŸ“¦ 68 Β· πŸ“‹ 170 - 28% open Β· ⏱️ 23.09.2024): 
git clone https://github.com/magenta/ddsp
- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 3.6K / month Β· πŸ“¦ 1 Β· ⏱️ 25.05.2022): 
pip install ddsp
- [Conda](https://anaconda.org/conda-forge/ddsp) (πŸ“₯ 22K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge ddsp
nnAudio (πŸ₯‰23 Β· ⭐ 1.1K) - Audio processing by using pytorch 1D convolution network. MIT - [GitHub](https://github.com/KinWaiCheuk/nnAudio) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 93 Β· πŸ“¦ 370 Β· πŸ“‹ 63 - 28% open Β· ⏱️ 16.05.2025): 
git clone https://github.com/KinWaiCheuk/nnAudio
- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 54K / month Β· πŸ“¦ 4 Β· ⏱️ 13.02.2024): 
pip install nnAudio
Julius (πŸ₯‰23 Β· ⭐ 440) - Fast PyTorch based DSP for audio and 1D signals. MIT - [GitHub](https://github.com/adefossez/julius) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 25 Β· πŸ“¦ 2.9K Β· πŸ“‹ 12 - 16% open Β· ⏱️ 17.02.2025): 
git clone https://github.com/adefossez/julius
- [PyPi](https://pypi.org/project/julius) (πŸ“₯ 490K / month Β· πŸ“¦ 44 Β· ⏱️ 20.09.2022): 
pip install julius
DeepSpeech (πŸ₯‰22 Β· ⭐ 26K) - DeepSpeech is an open source embedded (offline, on-device).. MPL-2.0 - [GitHub](https://github.com/mozilla/DeepSpeech) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 4K): 
git clone https://github.com/mozilla/DeepSpeech
- [PyPi](https://pypi.org/project/deepspeech) (πŸ“₯ 5.7K / month Β· πŸ“¦ 24 Β· ⏱️ 19.12.2020): 
pip install deepspeech
- [Conda](https://anaconda.org/conda-forge/deepspeech) (πŸ“₯ 3.8K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge deepspeech
Show 12 hidden projects... - Coqui TTS (πŸ₯‡36 Β· ⭐ 40K Β· πŸ’€) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 - Pydub (πŸ₯‡36 Β· ⭐ 9.4K Β· πŸ’€) - Manipulate audio with a simple and easy high level interface. MIT - audioread (πŸ₯‰30 Β· ⭐ 510 Β· πŸ’€) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio.. MIT - Essentia (πŸ₯‰29 Β· ⭐ 3.1K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 - aubio (πŸ₯‰28 Β· ⭐ 3.4K) - a library for audio and music analysis. ❗️GPL-3.0 - TTS (πŸ₯‰26 Β· ⭐ 9.8K Β· πŸ’€) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 - python_speech_features (πŸ₯‰25 Β· ⭐ 2.4K Β· πŸ’€) - This library provides common speech features for ASR.. MIT - Dejavu (πŸ₯‰23 Β· ⭐ 6.6K Β· πŸ’€) - Audio fingerprinting and recognition in Python. MIT - kapre (πŸ₯‰22 Β· ⭐ 930 Β· πŸ’€) - kapre: Keras Audio Preprocessors. MIT - TimeSide (πŸ₯‰21 Β· ⭐ 380 Β· πŸ’€) - scalable audio processing framework and server written in.. ❗️AGPL-3.0 - Muda (πŸ₯‰17 Β· ⭐ 230 Β· πŸ’€) - A library for augmenting annotated audio data. ISC - textlesslib (πŸ₯‰10 Β· ⭐ 540 Β· πŸ’€) - Library for Textless Spoken Language Processing. MIT


Geospatial Data

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Libraries to load, process, analyze, and write geographic data as well as libraries for spatial analysis, map visualization, and geocoding.

pydeck (πŸ₯‡43 Β· ⭐ 13K) - WebGL2 powered visualization framework. MIT - [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 2.1K Β· πŸ“¦ 9.1K Β· πŸ“‹ 3.2K - 13% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/visgl/deck.gl
- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 8.9M / month Β· πŸ“¦ 160 Β· ⏱️ 21.03.2025): 
pip install pydeck
- [Conda](https://anaconda.org/conda-forge/pydeck) (πŸ“₯ 750K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pydeck
- [npm](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 560K / month Β· πŸ“¦ 350 Β· ⏱️ 14.05.2025): 
npm install deck.gl
Shapely (πŸ₯‡41 Β· ⭐ 4.1K) - Manipulation and analysis of geometric objects. BSD-3 - [GitHub](https://github.com/shapely/shapely) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 590 Β· πŸ“₯ 3.8K Β· πŸ“¦ 110K Β· πŸ“‹ 1.3K - 18% open Β· ⏱️ 19.05.2025): 
git clone https://github.com/shapely/shapely
- [PyPi](https://pypi.org/project/shapely) (πŸ“₯ 50M / month Β· πŸ“¦ 4.2K Β· ⏱️ 19.05.2025): 
pip install shapely
- [Conda](https://anaconda.org/conda-forge/shapely) (πŸ“₯ 12M Β· ⏱️ 19.05.2025): 
conda install -c conda-forge shapely
folium (πŸ₯‡40 Β· ⭐ 7.1K) - Python Data. Leaflet.js Maps. MIT - [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.2K Β· πŸ“¦ 61K Β· πŸ“‹ 1.2K - 6% open Β· ⏱️ 17.05.2025): 
git clone https://github.com/python-visualization/folium
- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 2.2M / month Β· πŸ“¦ 980 Β· ⏱️ 15.05.2025): 
pip install folium
- [Conda](https://anaconda.org/conda-forge/folium) (πŸ“₯ 3.8M Β· ⏱️ 16.05.2025): 
conda install -c conda-forge folium
GeoPandas (πŸ₯ˆ38 Β· ⭐ 4.8K) - Python tools for geographic data. BSD-3 - [GitHub](https://github.com/geopandas/geopandas) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 950 Β· πŸ“₯ 3K Β· πŸ“¦ 57K Β· πŸ“‹ 1.7K - 25% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/geopandas/geopandas
- [PyPi](https://pypi.org/project/geopandas) (πŸ“₯ 7.9M / month Β· πŸ“¦ 2.8K Β· ⏱️ 02.07.2024): 
pip install geopandas
- [Conda](https://anaconda.org/conda-forge/geopandas) (πŸ“₯ 4.7M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge geopandas
Rasterio (πŸ₯ˆ38 Β· ⭐ 2.4K) - Rasterio reads and writes geospatial raster datasets. BSD-3 - [GitHub](https://github.com/rasterio/rasterio) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 540 Β· πŸ“₯ 1K Β· πŸ“¦ 17K Β· πŸ“‹ 1.9K - 8% open Β· ⏱️ 20.05.2025): 
git clone https://github.com/rasterio/rasterio
- [PyPi](https://pypi.org/project/rasterio) (πŸ“₯ 2.3M / month Β· πŸ“¦ 1.5K Β· ⏱️ 02.12.2024): 
pip install rasterio
- [Conda](https://anaconda.org/conda-forge/rasterio) (πŸ“₯ 4.7M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge rasterio
ArcGIS API (πŸ₯ˆ36 Β· ⭐ 2K) - Documentation and samples for ArcGIS API for Python. Apache-2 - [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 97 Β· πŸ”€ 1.1K Β· πŸ“₯ 15K Β· πŸ“¦ 960 Β· πŸ“‹ 850 - 9% open Β· ⏱️ 15.05.2025): 
git clone https://github.com/Esri/arcgis-python-api
- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 130K / month Β· πŸ“¦ 41 Β· ⏱️ 17.04.2025): 
pip install arcgis
- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook): 
docker pull esridocker/arcgis-api-python-notebook
pyproj (πŸ₯ˆ36 Β· ⭐ 1.1K Β· πŸ“‰) - Python interface to PROJ (cartographic projections and coordinate.. MIT - [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 220 Β· πŸ“¦ 44K Β· πŸ“‹ 640 - 5% open Β· ⏱️ 05.05.2025): 
git clone https://github.com/pyproj4/pyproj
- [PyPi](https://pypi.org/project/pyproj) (πŸ“₯ 11M / month Β· πŸ“¦ 1.9K Β· ⏱️ 16.02.2025): 
pip install pyproj
- [Conda](https://anaconda.org/conda-forge/pyproj) (πŸ“₯ 10M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pyproj
Fiona (πŸ₯ˆ35 Β· ⭐ 1.2K) - Fiona reads and writes geographic data files. BSD-3 - [GitHub](https://github.com/Toblerity/Fiona) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 210 Β· πŸ“¦ 26K Β· πŸ“‹ 810 - 4% open Β· ⏱️ 20.02.2025): 
git clone https://github.com/Toblerity/Fiona
- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 4.4M / month Β· πŸ“¦ 380 Β· ⏱️ 16.09.2024): 
pip install fiona
- [Conda](https://anaconda.org/conda-forge/fiona) (πŸ“₯ 6.9M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge fiona
ipyleaflet (πŸ₯‰33 Β· ⭐ 1.5K) - A Jupyter - Leaflet.js bridge. MIT - [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 360 Β· πŸ“¦ 17K Β· πŸ“‹ 660 - 45% open Β· ⏱️ 05.12.2024): 
git clone https://github.com/jupyter-widgets/ipyleaflet
- [PyPi](https://pypi.org/project/ipyleaflet) (πŸ“₯ 230K / month Β· πŸ“¦ 280 Β· ⏱️ 22.07.2024): 
pip install ipyleaflet
- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (πŸ“₯ 1.4M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge ipyleaflet
- [npm](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 1.8K / month Β· πŸ“¦ 9 Β· ⏱️ 22.07.2024): 
npm install jupyter-leaflet
geojson (πŸ₯‰31 Β· ⭐ 960) - Python bindings and utilities for GeoJSON. BSD-3 - [GitHub](https://github.com/jazzband/geojson) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 120 Β· πŸ“¦ 20K Β· πŸ“‹ 100 - 25% open Β· ⏱️ 21.12.2024): 
git clone https://github.com/jazzband/geojson
- [PyPi](https://pypi.org/project/geojson) (πŸ“₯ 2.9M / month Β· πŸ“¦ 720 Β· ⏱️ 21.12.2024): 
pip install geojson
- [Conda](https://anaconda.org/conda-forge/geojson) (πŸ“₯ 970K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge geojson
PySAL (πŸ₯‰30 Β· ⭐ 1.4K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3 - [GitHub](https://github.com/pysal/pysal) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 300 Β· πŸ“¦ 1.8K Β· πŸ“‹ 660 - 3% open Β· ⏱️ 06.02.2025): 
git clone https://github.com/pysal/pysal
- [PyPi](https://pypi.org/project/pysal) (πŸ“₯ 29K / month Β· πŸ“¦ 59 Β· ⏱️ 06.02.2025): 
pip install pysal
- [Conda](https://anaconda.org/conda-forge/pysal) (πŸ“₯ 630K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pysal
EarthPy (πŸ₯‰29 Β· ⭐ 520 Β· πŸ“ˆ) - A package built to support working with spatial data using open.. BSD-3 - [GitHub](https://github.com/earthlab/earthpy) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 160 Β· πŸ“₯ 36 Β· πŸ“¦ 430 Β· πŸ“‹ 250 - 16% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/earthlab/earthpy
- [PyPi](https://pypi.org/project/earthpy) (πŸ“₯ 12K / month Β· πŸ“¦ 17 Β· ⏱️ 01.10.2021): 
pip install earthpy
- [Conda](https://anaconda.org/conda-forge/earthpy) (πŸ“₯ 92K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge earthpy
GeoViews (πŸ₯‰28 Β· ⭐ 610) - Simple, concise geographical visualization in Python. BSD-3 - [GitHub](https://github.com/holoviz/geoviews) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 77 Β· πŸ“¦ 1.3K Β· πŸ“‹ 360 - 31% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/holoviz/geoviews
- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 17K / month Β· πŸ“¦ 63 Β· ⏱️ 17.12.2024): 
pip install geoviews
- [Conda](https://anaconda.org/conda-forge/geoviews) (πŸ“₯ 300K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge geoviews
Mapbox GL (πŸ₯‰24 Β· ⭐ 680) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT - [GitHub](https://github.com/mapbox/mapboxgl-jupyter) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 140 Β· πŸ“¦ 240 Β· πŸ“‹ 110 - 38% open Β· ⏱️ 06.02.2025): 
git clone https://github.com/mapbox/mapboxgl-jupyter
- [PyPi](https://pypi.org/project/mapboxgl) (πŸ“₯ 10K / month Β· πŸ“¦ 12 Β· ⏱️ 02.06.2019): 
pip install mapboxgl
pymap3d (πŸ₯‰24 Β· ⭐ 420) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. BSD-2 - [GitHub](https://github.com/geospace-code/pymap3d) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 87 Β· πŸ“¦ 510 Β· πŸ“‹ 60 - 15% open Β· ⏱️ 08.01.2025): 
git clone https://github.com/geospace-code/pymap3d
- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 350K / month Β· πŸ“¦ 44 Β· ⏱️ 11.02.2024): 
pip install pymap3d
- [Conda](https://anaconda.org/conda-forge/pymap3d) (πŸ“₯ 100K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pymap3d
Show 7 hidden projects... - Satpy (πŸ₯ˆ34 Β· ⭐ 1.1K) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 - geopy (πŸ₯‰33 Β· ⭐ 4.6K Β· πŸ’€) - Geocoding library for Python. MIT - Geocoder (πŸ₯‰33 Β· ⭐ 1.6K Β· πŸ’€) - Python Geocoder. MIT - Sentinelsat (πŸ₯‰27 Β· ⭐ 1K Β· πŸ’€) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 - prettymaps (πŸ₯‰26 Β· ⭐ 12K) - Draw pretty maps from OpenStreetMap data! Built with osmnx.. ❗️AGPL-3.0 - gmaps (πŸ₯‰23 Β· ⭐ 760 Β· πŸ’€) - Google maps for Jupyter notebooks. BSD-3 - geoplotlib (πŸ₯‰22 Β· ⭐ 1K Β· πŸ’€) - python toolbox for visualizing geographical data and making maps. MIT


Financial Data

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Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, technical analysis, and other tasks on financial data.

yfinance (πŸ₯‡43 Β· ⭐ 18K) - Download market data from Yahoo! Finances API. Apache-2 - [GitHub](https://github.com/ranaroussi/yfinance) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.7K Β· πŸ“¦ 79K Β· πŸ“‹ 1.6K - 9% open Β· ⏱️ 14.05.2025): 
git clone https://github.com/ranaroussi/yfinance
- [PyPi](https://pypi.org/project/yfinance) (πŸ“₯ 3.5M / month Β· πŸ“¦ 970 Β· ⏱️ 12.05.2025): 
pip install yfinance
- [Conda](https://anaconda.org/ranaroussi/yfinance) (πŸ“₯ 98K Β· ⏱️ 25.03.2025): 
conda install -c ranaroussi yfinance
Qlib (πŸ₯‡32 Β· ⭐ 20K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT - [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 3.2K Β· πŸ“₯ 800 Β· πŸ“¦ 21 Β· πŸ“‹ 970 - 25% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/microsoft/qlib
- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 8.9K / month Β· πŸ“¦ 1 Β· ⏱️ 23.12.2024): 
pip install pyqlib
bt (πŸ₯ˆ30 Β· ⭐ 2.5K) - bt - flexible backtesting for Python. MIT - [GitHub](https://github.com/pmorissette/bt) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 440 Β· πŸ“¦ 1.7K Β· πŸ“‹ 350 - 23% open Β· ⏱️ 08.04.2025): 
git clone https://github.com/pmorissette/bt
- [PyPi](https://pypi.org/project/bt) (πŸ“₯ 8.4K / month Β· πŸ“¦ 15 Β· ⏱️ 12.04.2025): 
pip install bt
- [Conda](https://anaconda.org/conda-forge/bt) (πŸ“₯ 85K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge bt
TensorTrade (πŸ₯‰27 Β· ⭐ 5.2K Β· πŸ’€) - An open source reinforcement learning framework for.. Apache-2 - [GitHub](https://github.com/tensortrade-org/tensortrade) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 1.1K Β· πŸ“¦ 70 Β· πŸ“‹ 260 - 20% open Β· ⏱️ 09.06.2024): 
git clone https://github.com/tensortrade-org/tensortrade
- [PyPi](https://pypi.org/project/tensortrade) (πŸ“₯ 1.2K / month Β· πŸ“¦ 1 Β· ⏱️ 10.05.2021): 
pip install tensortrade
- [Conda](https://anaconda.org/conda-forge/tensortrade) (πŸ“₯ 4.9K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge tensortrade
Alpha Vantage (πŸ₯‰27 Β· ⭐ 4.5K) - A python wrapper for Alpha Vantage API for financial data. MIT - [GitHub](https://github.com/RomelTorres/alpha_vantage) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 750 Β· πŸ“‹ 290 - 0% open Β· ⏱️ 01.05.2025): 
git clone https://github.com/RomelTorres/alpha_vantage
- [PyPi](https://pypi.org/project/alpha_vantage) (πŸ“₯ 64K / month Β· πŸ“¦ 35 Β· ⏱️ 18.07.2024): 
pip install alpha_vantage
- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (πŸ“₯ 9.1K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge alpha_vantage
ffn (πŸ₯‰27 Β· ⭐ 2.3K) - ffn - a financial function library for Python. MIT - [GitHub](https://github.com/pmorissette/ffn) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 320 Β· πŸ“¦ 560 Β· πŸ“‹ 140 - 17% open Β· ⏱️ 01.04.2025): 
git clone https://github.com/pmorissette/ffn
- [PyPi](https://pypi.org/project/ffn) (πŸ“₯ 24K / month Β· πŸ“¦ 22 Β· ⏱️ 11.02.2025): 
pip install ffn
- [Conda](https://anaconda.org/conda-forge/ffn) (πŸ“₯ 20K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge ffn
finmarketpy (πŸ₯‰25 Β· ⭐ 3.6K) - Python library for backtesting trading strategies & analyzing.. Apache-2 - [GitHub](https://github.com/cuemacro/finmarketpy) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 510 Β· πŸ“₯ 57 Β· πŸ“¦ 16 Β· πŸ“‹ 35 - 88% open Β· ⏱️ 10.03.2025): 
git clone https://github.com/cuemacro/finmarketpy
- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 370 / month Β· ⏱️ 10.03.2025): 
pip install finmarketpy
stockstats (πŸ₯‰23 Β· ⭐ 1.4K Β· πŸ“‰) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3 - [GitHub](https://github.com/jealous/stockstats) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 300 Β· πŸ“‹ 130 - 10% open Β· ⏱️ 18.05.2025): 
git clone https://github.com/jealous/stockstats
- [PyPi](https://pypi.org/project/stockstats) (πŸ“₯ 14K / month Β· πŸ“¦ 14 Β· ⏱️ 18.05.2025): 
pip install stockstats
tf-quant-finance (πŸ₯‰21 Β· ⭐ 4.9K) - High-performance TensorFlow library for quantitative.. Apache-2 - [GitHub](https://github.com/google/tf-quant-finance) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 600 Β· πŸ“‹ 63 - 55% open Β· ⏱️ 21.03.2025): 
git clone https://github.com/google/tf-quant-finance
- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 460 / month Β· πŸ“¦ 3 Β· ⏱️ 19.08.2022): 
pip install tf-quant-finance
Show 16 hidden projects... - zipline (πŸ₯‡33 Β· ⭐ 18K Β· πŸ’€) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2 - pyfolio (πŸ₯‡32 Β· ⭐ 6K Β· πŸ’€) - Portfolio and risk analytics in Python. Apache-2 - ta (πŸ₯ˆ31 Β· ⭐ 4.6K Β· πŸ’€) - Technical Analysis Library using Pandas and Numpy. MIT - arch (πŸ₯ˆ30 Β· ⭐ 1.4K) - ARCH models in Python. ❗Unlicensed - backtrader (πŸ₯ˆ29 Β· ⭐ 17K Β· πŸ’€) - Python Backtesting library for trading strategies. ❗️GPL-3.0 - Alphalens (πŸ₯ˆ28 Β· ⭐ 3.7K Β· πŸ’€) - Performance analysis of predictive (alpha) stock factors. Apache-2 - IB-insync (πŸ₯ˆ28 Β· ⭐ 3K Β· πŸ’€) - Python sync/async framework for Interactive Brokers API. BSD-2 - empyrical (πŸ₯ˆ28 Β· ⭐ 1.4K Β· πŸ’€) - Common financial risk and performance metrics. Used by.. Apache-2 - Backtesting.py (πŸ₯‰27 Β· ⭐ 6.5K) - Backtest trading strategies in Python. ❗️AGPL-3.0 - Enigma Catalyst (πŸ₯‰26 Β· ⭐ 2.5K Β· πŸ’€) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2 - PyAlgoTrade (πŸ₯‰24 Β· ⭐ 4.5K Β· πŸ’€) - Python Algorithmic Trading Library. Apache-2 - FinTA (πŸ₯‰24 Β· ⭐ 2.2K Β· πŸ’€) - Common financial technical indicators implemented in Pandas. ❗️LGPL-3.0 - Crypto Signals (πŸ₯‰22 Β· ⭐ 5.2K Β· πŸ’€) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT - FinQuant (πŸ₯‰22 Β· ⭐ 1.5K Β· πŸ’€) - A program for financial portfolio management, analysis and.. MIT - surpriver (πŸ₯‰12 Β· ⭐ 1.8K Β· πŸ’€) - Find big moving stocks before they move using machine.. ❗️GPL-3.0 - pyrtfolio (πŸ₯‰9 Β· ⭐ 150 Β· πŸ’€) - Python package to generate stock portfolios. ❗️GPL-3.0


Time Series Data

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Libraries for forecasting, anomaly detection, feature extraction, and machine learning on time-series and sequential data.

sktime (πŸ₯‡40 Β· ⭐ 8.4K) - A unified framework for machine learning with time series. BSD-3 - [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 1.5K Β· πŸ“₯ 110 Β· πŸ“¦ 4.5K Β· πŸ“‹ 2.9K - 38% open Β· ⏱️ 20.05.2025): 
git clone https://github.com/alan-turing-institute/sktime
- [PyPi](https://pypi.org/project/sktime) (πŸ“₯ 950K / month Β· πŸ“¦ 140 Β· ⏱️ 12.04.2025): 
pip install sktime
- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (πŸ“₯ 1.1M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge sktime-all-extras
Prophet (πŸ₯‡34 Β· ⭐ 19K) - Tool for producing high quality forecasts for time series data that has.. MIT - [GitHub](https://github.com/facebook/prophet) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 4.5K Β· πŸ“₯ 3K Β· πŸ“¦ 21 Β· πŸ“‹ 2.2K - 20% open Β· ⏱️ 17.05.2025): 
git clone https://github.com/facebook/prophet
- [PyPi](https://pypi.org/project/fbprophet) (πŸ“₯ 150K / month Β· πŸ“¦ 91 Β· ⏱️ 05.09.2020): 
pip install fbprophet
- [Conda](https://anaconda.org/conda-forge/prophet) (πŸ“₯ 1.4M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge prophet
Darts (πŸ₯‡33 Β· ⭐ 8.6K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2 - [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 920 Β· πŸ“‹ 1.7K - 14% open Β· ⏱️ 16.05.2025): 
git clone https://github.com/unit8co/darts
- [PyPi](https://pypi.org/project/u8darts) (πŸ“₯ 71K / month Β· πŸ“¦ 10 Β· ⏱️ 18.04.2025): 
pip install u8darts
- [Conda](https://anaconda.org/conda-forge/u8darts-all) (πŸ“₯ 79K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge u8darts-all
- [Docker Hub](https://hub.docker.com/r/unit8/darts) (πŸ“₯ 1.6K Β· ⏱️ 18.04.2025): 
docker pull unit8/darts
StatsForecast (πŸ₯‡33 Β· ⭐ 4.4K) - Lightning fast forecasting with statistical and econometric.. Apache-2 - [GitHub](https://github.com/Nixtla/statsforecast) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 310 Β· πŸ“¦ 1.7K Β· πŸ“‹ 360 - 30% open Β· ⏱️ 29.04.2025): 
git clone https://github.com/Nixtla/statsforecast
- [PyPi](https://pypi.org/project/statsforecast) (πŸ“₯ 840K / month Β· πŸ“¦ 68 Β· ⏱️ 18.02.2025): 
pip install statsforecast
- [Conda](https://anaconda.org/conda-forge/statsforecast) (πŸ“₯ 180K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge statsforecast
tsfresh (πŸ₯ˆ32 Β· ⭐ 8.8K) - Automatic extraction of relevant features from time series:. MIT - [GitHub](https://github.com/blue-yonder/tsfresh) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 1.2K Β· πŸ“¦ 21 Β· πŸ“‹ 550 - 12% open Β· ⏱️ 16.02.2025): 
git clone https://github.com/blue-yonder/tsfresh
- [PyPi](https://pypi.org/project/tsfresh) (πŸ“₯ 240K / month Β· πŸ“¦ 100 Β· ⏱️ 16.02.2025): 
pip install tsfresh
- [Conda](https://anaconda.org/conda-forge/tsfresh) (πŸ“₯ 1.4M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge tsfresh
pytorch-forecasting (πŸ₯ˆ32 Β· ⭐ 4.3K) - Time series forecasting with PyTorch. MIT - [GitHub](https://github.com/sktime/pytorch-forecasting) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 670 Β· πŸ“¦ 610 Β· πŸ“‹ 850 - 61% open Β· ⏱️ 18.05.2025): 
git clone https://github.com/jdb78/pytorch-forecasting
- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 130K / month Β· πŸ“¦ 22 Β· ⏱️ 06.02.2025): 
pip install pytorch-forecasting
- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (πŸ“₯ 78K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pytorch-forecasting
NeuralForecast (πŸ₯ˆ32 Β· ⭐ 3.5K) - Scalable and user friendly neural forecasting algorithms. Apache-2 - [GitHub](https://github.com/Nixtla/neuralforecast) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 410 Β· πŸ“¦ 380 Β· πŸ“‹ 620 - 17% open Β· ⏱️ 16.05.2025): 
git clone https://github.com/Nixtla/neuralforecast
- [PyPi](https://pypi.org/project/neuralforecast) (πŸ“₯ 100K / month Β· πŸ“¦ 28 Β· ⏱️ 13.05.2025): 
pip install neuralforecast
- [Conda](https://anaconda.org/conda-forge/neuralforecast) (πŸ“₯ 38K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge neuralforecast
pmdarima (πŸ₯ˆ32 Β· ⭐ 1.6K) - A statistical library designed to fill the void in Pythons time series.. MIT - [GitHub](https://github.com/alkaline-ml/pmdarima) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 240 Β· πŸ“¦ 12K Β· πŸ“‹ 340 - 19% open Β· ⏱️ 07.11.2024): 
git clone https://github.com/alkaline-ml/pmdarima
- [PyPi](https://pypi.org/project/pmdarima) (πŸ“₯ 2.4M / month Β· πŸ“¦ 150 Β· ⏱️ 23.10.2023): 
pip install pmdarima
- [Conda](https://anaconda.org/conda-forge/pmdarima) (πŸ“₯ 1.3M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pmdarima
skforecast (πŸ₯ˆ32 Β· ⭐ 1.3K) - Time series forecasting with machine learning models. BSD-3 - [GitHub](https://github.com/skforecast/skforecast) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 160 Β· πŸ“¦ 470 Β· πŸ“‹ 200 - 14% open Β· ⏱️ 01.05.2025): 
git clone https://github.com/JoaquinAmatRodrigo/skforecast
- [PyPi](https://pypi.org/project/skforecast) (πŸ“₯ 77K / month Β· πŸ“¦ 18 Β· ⏱️ 01.05.2025): 
pip install skforecast
STUMPY (πŸ₯ˆ31 Β· ⭐ 3.9K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3 - [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 330 Β· πŸ“¦ 1.3K Β· πŸ“‹ 540 - 13% open Β· ⏱️ 08.04.2025): 
git clone https://github.com/TDAmeritrade/stumpy
- [PyPi](https://pypi.org/project/stumpy) (πŸ“₯ 300K / month Β· πŸ“¦ 30 Β· ⏱️ 09.07.2024): 
pip install stumpy
- [Conda](https://anaconda.org/conda-forge/stumpy) (πŸ“₯ 1.1M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge stumpy
tslearn (πŸ₯ˆ31 Β· ⭐ 3K Β· πŸ’€) - The machine learning toolkit for time series analysis in Python. BSD-2 - [GitHub](https://github.com/tslearn-team/tslearn) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 340 Β· πŸ“¦ 1.8K Β· πŸ“‹ 340 - 41% open Β· ⏱️ 01.07.2024): 
git clone https://github.com/tslearn-team/tslearn
- [PyPi](https://pypi.org/project/tslearn) (πŸ“₯ 340K / month Β· πŸ“¦ 79 Β· ⏱️ 12.12.2023): 
pip install tslearn
- [Conda](https://anaconda.org/conda-forge/tslearn) (πŸ“₯ 1.6M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge tslearn
GluonTS (πŸ₯ˆ30 Β· ⭐ 4.9K) - Probabilistic time series modeling in Python. Apache-2 - [GitHub](https://github.com/awslabs/gluonts) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 780 Β· πŸ“‹ 970 - 34% open Β· ⏱️ 08.04.2025): 
git clone https://github.com/awslabs/gluon-ts
- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 630K / month Β· πŸ“¦ 36 Β· ⏱️ 08.04.2025): 
pip install gluonts
- [Conda](https://anaconda.org/anaconda/gluonts) (πŸ“₯ 2K Β· ⏱️ 22.04.2025): 
conda install -c anaconda gluonts
Streamz (πŸ₯‰29 Β· ⭐ 1.3K) - Real-time stream processing for python. BSD-3 - [GitHub](https://github.com/python-streamz/streamz) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 150 Β· πŸ“¦ 550 Β· πŸ“‹ 270 - 44% open Β· ⏱️ 22.11.2024): 
git clone https://github.com/python-streamz/streamz
- [PyPi](https://pypi.org/project/streamz) (πŸ“₯ 27K / month Β· πŸ“¦ 57 Β· ⏱️ 27.07.2022): 
pip install streamz
- [Conda](https://anaconda.org/conda-forge/streamz) (πŸ“₯ 2.1M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge streamz
pyts (πŸ₯‰27 Β· ⭐ 1.8K) - A Python package for time series classification. BSD-3 - [GitHub](https://github.com/johannfaouzi/pyts) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 170 Β· πŸ“¦ 870 Β· πŸ“‹ 87 - 58% open Β· ⏱️ 27.04.2025): 
git clone https://github.com/johannfaouzi/pyts
- [PyPi](https://pypi.org/project/pyts) (πŸ“₯ 120K / month Β· πŸ“¦ 45 Β· ⏱️ 18.06.2023): 
pip install pyts
- [Conda](https://anaconda.org/conda-forge/pyts) (πŸ“₯ 33K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pyts
NeuralProphet (πŸ₯‰26 Β· ⭐ 4.1K Β· πŸ’€) - NeuralProphet: A simple forecasting package. MIT - [GitHub](https://github.com/ourownstory/neural_prophet) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 490 Β· πŸ“‹ 560 - 11% open Β· ⏱️ 13.09.2024): 
git clone https://github.com/ourownstory/neural_prophet
- [PyPi](https://pypi.org/project/neuralprophet) (πŸ“₯ 87K / month Β· πŸ“¦ 8 Β· ⏱️ 26.06.2024): 
pip install neuralprophet
greykite (πŸ₯‰22 Β· ⭐ 1.8K) - A flexible, intuitive and fast forecasting library. BSD-2 - [GitHub](https://github.com/linkedin/greykite) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 110 Β· πŸ“₯ 36 Β· πŸ“¦ 44 Β· πŸ“‹ 110 - 10% open Β· ⏱️ 20.02.2025): 
git clone https://github.com/linkedin/greykite
- [PyPi](https://pypi.org/project/greykite) (πŸ“₯ 6.9K / month Β· ⏱️ 20.02.2025): 
pip install greykite
TSFEL (πŸ₯‰21 Β· ⭐ 1K Β· πŸ’€) - An intuitive library to extract features from time series. BSD-3 - [GitHub](https://github.com/fraunhoferportugal/tsfel) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 140 Β· πŸ“¦ 210 Β· πŸ“‹ 82 - 12% open Β· ⏱️ 17.10.2024): 
git clone https://github.com/fraunhoferportugal/tsfel
- [PyPi](https://pypi.org/project/tsfel) (πŸ“₯ 6.8K / month Β· πŸ“¦ 7 Β· ⏱️ 12.09.2024): 
pip install tsfel
pydlm (πŸ₯‰21 Β· ⭐ 480 Β· πŸ’€) - A python library for Bayesian time series modeling. BSD-3 - [GitHub](https://github.com/wwrechard/pydlm) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 98 Β· πŸ“¦ 41 Β· πŸ“‹ 51 - 70% open Β· ⏱️ 07.09.2024): 
git clone https://github.com/wwrechard/pydlm
- [PyPi](https://pypi.org/project/pydlm) (πŸ“₯ 71K / month Β· πŸ“¦ 2 Β· ⏱️ 13.08.2024): 
pip install pydlm
tsflex (πŸ₯‰20 Β· ⭐ 420 Β· πŸ’€) - Flexible time series feature extraction & processing. MIT - [GitHub](https://github.com/predict-idlab/tsflex) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 26 Β· πŸ“¦ 22 Β· πŸ“‹ 56 - 58% open Β· ⏱️ 06.09.2024): 
git clone https://github.com/predict-idlab/tsflex
- [PyPi](https://pypi.org/project/tsflex) (πŸ“₯ 1.9K / month Β· πŸ“¦ 2 Β· ⏱️ 06.09.2024): 
pip install tsflex
- [Conda](https://anaconda.org/conda-forge/tsflex) (πŸ“₯ 33K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge tsflex
Auto TS (πŸ₯‰18 Β· ⭐ 760 Β· πŸ’€) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 - [GitHub](https://github.com/AutoViML/Auto_TS) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 120 Β· πŸ“‹ 90 - 2% open Β· ⏱️ 05.05.2024): 
git clone https://github.com/AutoViML/Auto_TS
- [PyPi](https://pypi.org/project/auto-ts) (πŸ“₯ 2.2K / month Β· ⏱️ 05.05.2024): 
pip install auto-ts
Show 9 hidden projects... - PyFlux (πŸ₯‰25 Β· ⭐ 2.1K Β· πŸ’€) - Open source time series library for Python. BSD-3 - ADTK (πŸ₯‰23 Β· ⭐ 1.2K Β· πŸ’€) - A Python toolkit for rule-based/unsupervised anomaly detection in.. MPL-2.0 - luminol (πŸ₯‰21 Β· ⭐ 1.2K Β· πŸ’€) - Anomaly Detection and Correlation library. Apache-2 - seglearn (πŸ₯‰21 Β· ⭐ 580 Β· πŸ’€) - Python module for machine learning time series:. BSD-3 - tick (πŸ₯‰20 Β· ⭐ 510 Β· πŸ’€) - Module for statistical learning, with a particular emphasis on time-.. BSD-3 - matrixprofile-ts (πŸ₯‰19 Β· ⭐ 740 Β· πŸ’€) - A Python library for detecting patterns and anomalies.. Apache-2 - atspy (πŸ₯‰14 Β· ⭐ 520 Β· πŸ’€) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT - tsaug (πŸ₯‰14 Β· ⭐ 350 Β· πŸ’€) - A Python package for time series augmentation. Apache-2 - tslumen (πŸ₯‰8 Β· ⭐ 69 Β· πŸ’€) - A library for Time Series EDA (exploratory data analysis). Apache-2


Medical Data

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Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic data, and other medical imaging formats.

MNE (πŸ₯‡39 Β· ⭐ 2.9K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3 - [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 390 Β· πŸ”€ 1.3K Β· πŸ“¦ 5.9K Β· πŸ“‹ 5K - 11% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/mne-tools/mne-python
- [PyPi](https://pypi.org/project/mne) (πŸ“₯ 160K / month Β· πŸ“¦ 420 Β· ⏱️ 18.12.2024): 
pip install mne
- [Conda](https://anaconda.org/conda-forge/mne) (πŸ“₯ 530K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge mne
Nilearn (πŸ₯‡38 Β· ⭐ 1.3K) - Machine learning for NeuroImaging in Python. BSD-3 - [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 600 Β· πŸ“₯ 300 Β· πŸ“¦ 4.2K Β· πŸ“‹ 2.4K - 12% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/nilearn/nilearn
- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 260K / month Β· πŸ“¦ 310 Β· ⏱️ 23.12.2024): 
pip install nilearn
- [Conda](https://anaconda.org/conda-forge/nilearn) (πŸ“₯ 330K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge nilearn
MONAI (πŸ₯ˆ36 Β· ⭐ 6.4K) - AI Toolkit for Healthcare Imaging. Apache-2 - [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 1.2K Β· πŸ“¦ 4.2K Β· πŸ“‹ 3.3K - 13% open Β· ⏱️ 16.05.2025): 
git clone https://github.com/Project-MONAI/MONAI
- [PyPi](https://pypi.org/project/monai) (πŸ“₯ 350K / month Β· πŸ“¦ 140 Β· ⏱️ 10.12.2024): 
pip install monai
- [Conda](https://anaconda.org/conda-forge/monai) (πŸ“₯ 49K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge monai
NIPYPE (πŸ₯ˆ35 Β· ⭐ 780) - Workflows and interfaces for neuroimaging packages. Apache-2 - [GitHub](https://github.com/nipy/nipype) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 530 Β· πŸ“¦ 6.9K Β· πŸ“‹ 1.4K - 30% open Β· ⏱️ 28.04.2025): 
git clone https://github.com/nipy/nipype
- [PyPi](https://pypi.org/project/nipype) (πŸ“₯ 330K / month Β· πŸ“¦ 150 Β· ⏱️ 19.03.2025): 
pip install nipype
- [Conda](https://anaconda.org/conda-forge/nipype) (πŸ“₯ 800K Β· ⏱️ 05.05.2025): 
conda install -c conda-forge nipype
NiBabel (πŸ₯ˆ34 Β· ⭐ 700) - Python package to access a cacophony of neuro-imaging file formats. MIT - [GitHub](https://github.com/nipy/nibabel) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 260 Β· πŸ“¦ 29K Β· πŸ“‹ 550 - 23% open Β· ⏱️ 20.05.2025): 
git clone https://github.com/nipy/nibabel
- [PyPi](https://pypi.org/project/nibabel) (πŸ“₯ 880K / month Β· πŸ“¦ 1.2K Β· ⏱️ 23.10.2024): 
pip install nibabel
- [Conda](https://anaconda.org/conda-forge/nibabel) (πŸ“₯ 900K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge nibabel
Lifelines (πŸ₯ˆ33 Β· ⭐ 2.4K Β· πŸ’€) - Survival analysis in Python. MIT - [GitHub](https://github.com/CamDavidsonPilon/lifelines) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 560 Β· πŸ“¦ 3.9K Β· πŸ“‹ 980 - 27% open Β· ⏱️ 29.10.2024): 
git clone https://github.com/CamDavidsonPilon/lifelines
- [PyPi](https://pypi.org/project/lifelines) (πŸ“₯ 2.2M / month Β· πŸ“¦ 160 Β· ⏱️ 29.10.2024): 
pip install lifelines
- [Conda](https://anaconda.org/conda-forge/lifelines) (πŸ“₯ 430K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge lifelines
Hail (πŸ₯ˆ32 Β· ⭐ 1K) - Cloud-native genomic dataframes and batch computing. MIT - [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 97 Β· πŸ”€ 250 Β· πŸ“¦ 170 Β· πŸ“‹ 2.5K - 10% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/hail-is/hail
- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 18K / month Β· πŸ“¦ 42 Β· ⏱️ 07.03.2025): 
pip install hail
DeepVariant (πŸ₯‰28 Β· ⭐ 3.4K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3 - [GitHub](https://github.com/google/deepvariant) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 740 Β· πŸ“₯ 4.8K Β· πŸ“¦ 4 Β· πŸ“‹ 910 - 0% open Β· ⏱️ 16.05.2025): 
git clone https://github.com/google/deepvariant
- [Conda](https://anaconda.org/bioconda/deepvariant) (πŸ“₯ 76K Β· ⏱️ 22.04.2025): 
conda install -c bioconda deepvariant
Brainiak (πŸ₯‰19 Β· ⭐ 350) - Brain Imaging Analysis Kit. Apache-2 - [GitHub](https://github.com/brainiak/brainiak) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 140 Β· πŸ“‹ 230 - 38% open Β· ⏱️ 06.01.2025): 
git clone https://github.com/brainiak/brainiak
- [PyPi](https://pypi.org/project/brainiak) (πŸ“₯ 1.7K / month Β· ⏱️ 07.01.2025): 
pip install brainiak
- [Docker Hub](https://hub.docker.com/r/brainiak/brainiak) (πŸ“₯ 1.9K Β· ⭐ 1 Β· ⏱️ 07.01.2025): 
docker pull brainiak/brainiak
Show 10 hidden projects... - DIPY (πŸ₯ˆ32 Β· ⭐ 760) - DIPY is the paragon 3D/4D+ medical imaging library in Python... ❗Unlicensed - NiftyNet (πŸ₯‰25 Β· ⭐ 1.4K Β· πŸ’€) - [unmaintained] An open-source convolutional neural.. Apache-2 - NIPY (πŸ₯‰24 Β· ⭐ 390) - Neuroimaging in Python FMRI analysis package. ❗Unlicensed - MedPy (πŸ₯‰23 Β· ⭐ 600 Β· πŸ’€) - Medical image processing in Python. ❗️GPL-3.0 - DLTK (πŸ₯‰20 Β· ⭐ 1.4K Β· πŸ’€) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 - Glow (πŸ₯‰20 Β· ⭐ 280) - An open-source toolkit for large-scale genomic analysis. Apache-2 - MedicalTorch (πŸ₯‰15 Β· ⭐ 870 Β· πŸ’€) - A medical imaging framework for Pytorch. Apache-2 - Medical Detection Toolkit (πŸ₯‰14 Β· ⭐ 1.3K Β· πŸ’€) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2 - DeepNeuro (πŸ₯‰14 Β· ⭐ 130 Β· πŸ’€) - A deep learning python package for neuroimaging data. Made by:. MIT - MedicalNet (πŸ₯‰12 Β· ⭐ 2K Β· πŸ’€) - Many studies have shown that the performance on deep learning is.. MIT


Tabular Data

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Libraries for processing tabular and structured data.

skrub (πŸ₯‡29 Β· ⭐ 1.4K) - Machine learning with dataframes. BSD-3 - [GitHub](https://github.com/skrub-data/skrub) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 120 Β· πŸ“¦ 87 Β· πŸ“‹ 440 - 20% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/skrub-data/skrub
- [PyPi](https://pypi.org/project/skrub) (πŸ“₯ 12K / month Β· πŸ“¦ 10 Β· ⏱️ 03.04.2025): 
pip install skrub
pytorch_tabular (πŸ₯ˆ24 Β· ⭐ 1.5K) - A standard framework for modelling Deep Learning Models.. MIT - [GitHub](https://github.com/manujosephv/pytorch_tabular) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 150 Β· πŸ“₯ 54 Β· πŸ“‹ 170 - 7% open Β· ⏱️ 19.04.2025): 
git clone https://github.com/manujosephv/pytorch_tabular
- [PyPi](https://pypi.org/project/pytorch_tabular) (πŸ“₯ 19K / month Β· πŸ“¦ 9 Β· ⏱️ 28.11.2024): 
pip install pytorch_tabular
miceforest (πŸ₯ˆ24 Β· ⭐ 380 Β· πŸ’€) - Multiple Imputation with LightGBM in Python. MIT - [GitHub](https://github.com/AnotherSamWilson/miceforest) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 30 Β· πŸ“¦ 240 Β· πŸ“‹ 90 - 11% open Β· ⏱️ 02.08.2024): 
git clone https://github.com/AnotherSamWilson/miceforest
- [PyPi](https://pypi.org/project/miceforest) (πŸ“₯ 78K / month Β· πŸ“¦ 9 Β· ⏱️ 02.08.2024): 
pip install miceforest
- [Conda](https://anaconda.org/conda-forge/miceforest) (πŸ“₯ 19K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge miceforest
upgini (πŸ₯‰22 Β· ⭐ 330) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3 - [GitHub](https://github.com/upgini/upgini) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 25 Β· πŸ“¦ 9 Β· ⏱️ 20.05.2025): 
git clone https://github.com/upgini/upgini
- [PyPi](https://pypi.org/project/upgini) (πŸ“₯ 12K / month Β· ⏱️ 22.05.2025): 
pip install upgini
Show 2 hidden projects... - carefree-learn (πŸ₯‰17 Β· ⭐ 410 Β· πŸ’€) - Deep Learning PyTorch. MIT - deltapy (πŸ₯‰12 Β· ⭐ 550 Β· πŸ’€) - DeltaPy - Tabular Data Augmentation (by @firmai). MIT


Optical Character Recognition

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Libraries for optical character recognition (OCR) and text extraction from images or videos.

PaddleOCR (πŸ₯‡42 Β· ⭐ 49K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 8.2K Β· πŸ“₯ 2M Β· πŸ“¦ 5.7K Β· πŸ“‹ 9.6K - 1% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/PaddlePaddle/PaddleOCR
- [PyPi](https://pypi.org/project/paddleocr) (πŸ“₯ 330K / month Β· πŸ“¦ 150 Β· ⏱️ 20.05.2025): 
pip install paddleocr
OCRmyPDF (πŸ₯‡37 Β· ⭐ 29K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 - [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 2K Β· πŸ“₯ 12K Β· πŸ“¦ 1.3K Β· πŸ“‹ 1.3K - 10% open Β· ⏱️ 21.04.2025): 
git clone https://github.com/ocrmypdf/OCRmyPDF
- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 220K / month Β· πŸ“¦ 46 Β· ⏱️ 24.04.2025): 
pip install ocrmypdf
- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (πŸ“₯ 99K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge ocrmypdf
EasyOCR (πŸ₯ˆ34 Β· ⭐ 27K Β· πŸ’€) - Ready-to-use OCR with 80+ supported languages and all popular.. Apache-2 - [GitHub](https://github.com/JaidedAI/EasyOCR) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 3.3K Β· πŸ“₯ 21M Β· πŸ“¦ 15K Β· πŸ“‹ 1.1K - 43% open Β· ⏱️ 24.09.2024): 
git clone https://github.com/JaidedAI/EasyOCR
- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 910K / month Β· πŸ“¦ 250 Β· ⏱️ 24.09.2024): 
pip install easyocr
Tesseract (πŸ₯ˆ31 Β· ⭐ 6.1K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2 - [GitHub](https://github.com/madmaze/pytesseract) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 720 Β· πŸ“‹ 370 - 3% open Β· ⏱️ 17.02.2025): 
git clone https://github.com/madmaze/pytesseract
- [PyPi](https://pypi.org/project/pytesseract) (πŸ“₯ 3M / month Β· πŸ“¦ 970 Β· ⏱️ 16.08.2024): 
pip install pytesseract
- [Conda](https://anaconda.org/conda-forge/pytesseract) (πŸ“₯ 660K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pytesseract
tesserocr (πŸ₯ˆ30 Β· ⭐ 2.1K) - A Python wrapper for the tesseract-ocr API. MIT - [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 260 Β· πŸ“₯ 960 Β· πŸ“¦ 1.3K Β· πŸ“‹ 280 - 17% open Β· ⏱️ 08.05.2025): 
git clone https://github.com/sirfz/tesserocr
- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 130K / month Β· πŸ“¦ 43 Β· ⏱️ 12.02.2025): 
pip install tesserocr
- [Conda](https://anaconda.org/conda-forge/tesserocr) (πŸ“₯ 250K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge tesserocr
MMOCR (πŸ₯‰27 Β· ⭐ 4.5K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2 - [GitHub](https://github.com/open-mmlab/mmocr) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 750 Β· πŸ“¦ 230 Β· πŸ“‹ 930 - 20% open Β· ⏱️ 27.11.2024): 
git clone https://github.com/open-mmlab/mmocr
- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 4.2K / month Β· πŸ“¦ 4 Β· ⏱️ 05.05.2022): 
pip install mmocr
Show 6 hidden projects... - keras-ocr (πŸ₯‰26 Β· ⭐ 1.5K Β· πŸ’€) - A packaged and flexible version of the CRAFT text detector.. MIT - calamari (πŸ₯‰22 Β· ⭐ 1.1K) - Line based ATR Engine based on OCRopy. ❗️GPL-3.0 - pdftabextract (πŸ₯‰21 Β· ⭐ 2.2K Β· πŸ’€) - A set of tools for extracting tables from PDF files.. Apache-2 - attention-ocr (πŸ₯‰21 Β· ⭐ 1.1K Β· πŸ’€) - A Tensorflow model for text recognition (CNN + seq2seq.. MIT - doc2text (πŸ₯‰20 Β· ⭐ 1.3K Β· πŸ’€) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python.. MIT - Mozart (πŸ₯‰10 Β· ⭐ 660 Β· πŸ’€) - An optical music recognition (OMR) system. Converts sheet.. Apache-2


Data Containers & Structures

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General-purpose data containers & structures as well as utilities & extensions for pandas.

πŸ”— best-of-python - Data Containers ( ⭐ 4K) - Collection of data-container, dataframe, and pandas-..


Data Loading & Extraction

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Libraries for loading, collecting, and extracting data from a variety of data sources and formats.

πŸ”— best-of-python - Data Extraction ( ⭐ 4K) - Collection of data-loading and -extraction libraries.


Web Scraping & Crawling

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Libraries for web scraping, crawling, downloading, and mining as well as libraries.

πŸ”— best-of-web-python - Web Scraping ( ⭐ 2.5K Β· πŸ’€) - Collection of web-scraping and crawling libraries.


Data Pipelines & Streaming

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Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks.

πŸ”— best-of-python - Data Pipelines ( ⭐ 4K) - Libraries for data batch- and stream-processing,..

Show 1 hidden projects... - pyclugen (πŸ₯‡10 Β· ⭐ 8 Β· πŸ’€) - Multidimensional cluster generation in Python. MIT


Distributed Machine Learning

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Libraries that provide capabilities to distribute and parallelize machine learning tasks across large-scale compute infrastructure.

Ray (πŸ₯‡47 Β· ⭐ 37K) - Ray is an AI compute engine. Ray consists of a core distributed runtime.. Apache-2 - [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 6.3K Β· πŸ“₯ 260 Β· πŸ“¦ 24K Β· πŸ“‹ 21K - 21% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/ray-project/ray
- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 11M / month Β· πŸ“¦ 960 Β· ⏱️ 07.05.2025): 
pip install ray
- [Conda](https://anaconda.org/conda-forge/ray-tune) (πŸ“₯ 770K Β· ⏱️ 12.05.2025): 
conda install -c conda-forge ray-tune
dask (πŸ₯‡45 Β· ⭐ 13K) - Parallel computing with task scheduling. BSD-3 - [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 620 Β· πŸ”€ 1.8K Β· πŸ“¦ 75K Β· πŸ“‹ 5.6K - 20% open Β· ⏱️ 20.05.2025): 
git clone https://github.com/dask/dask
- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 12M / month Β· πŸ“¦ 2.9K Β· ⏱️ 20.05.2025): 
pip install dask
- [Conda](https://anaconda.org/conda-forge/dask) (πŸ“₯ 13M Β· ⏱️ 20.05.2025): 
conda install -c conda-forge dask
DeepSpeed (πŸ₯‡41 Β· ⭐ 39K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2 - [GitHub](https://github.com/deepspeedai/DeepSpeed) (πŸ‘¨β€πŸ’» 380 Β· πŸ”€ 4.4K Β· πŸ“¦ 13K Β· πŸ“‹ 3.1K - 34% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/microsoft/DeepSpeed
- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 760K / month Β· πŸ“¦ 280 Β· ⏱️ 19.05.2025): 
pip install deepspeed
- [Docker Hub](https://hub.docker.com/r/deepspeed/deepspeed) (πŸ“₯ 22K Β· ⭐ 4 Β· ⏱️ 02.09.2022): 
docker pull deepspeed/deepspeed
dask.distributed (πŸ₯‡39 Β· ⭐ 1.6K) - A distributed task scheduler for Dask. BSD-3 - [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 730 Β· πŸ“¦ 41K Β· πŸ“‹ 4K - 38% open Β· ⏱️ 20.05.2025): 
git clone https://github.com/dask/distributed
- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 3.7M / month Β· πŸ“¦ 970 Β· ⏱️ 20.05.2025): 
pip install distributed
- [Conda](https://anaconda.org/conda-forge/distributed) (πŸ“₯ 18M Β· ⏱️ 20.05.2025): 
conda install -c conda-forge distributed
horovod (πŸ₯ˆ36 Β· ⭐ 14K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2 - [GitHub](https://github.com/horovod/horovod) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.3K Β· πŸ“¦ 1.4K Β· πŸ“‹ 2.3K - 17% open Β· ⏱️ 01.02.2025): 
git clone https://github.com/horovod/horovod
- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 100K / month Β· πŸ“¦ 34 Β· ⏱️ 12.06.2023): 
pip install horovod
metrics (πŸ₯ˆ36 Β· ⭐ 2.3K) - Machine learning metrics for distributed, scalable PyTorch.. Apache-2 - [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 430 Β· πŸ“₯ 6.5K Β· πŸ“¦ 42K Β· πŸ“‹ 950 - 7% open Β· ⏱️ 19.05.2025): 
git clone https://github.com/Lightning-AI/metrics
- [PyPi](https://pypi.org/project/metrics) (πŸ“₯ 4.9K / month Β· πŸ“¦ 4 Β· ⏱️ 26.02.2025): 
pip install metrics
- [Conda](https://anaconda.org/conda-forge/torchmetrics) (πŸ“₯ 2M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge torchmetrics
H2O-3 (πŸ₯ˆ34 Β· ⭐ 7.2K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2 - [GitHub](https://github.com/h2oai/h2o-3) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 2K Β· πŸ“¦ 98 Β· πŸ“‹ 9.6K - 30% open Β· ⏱️ 08.05.2025): 
git clone https://github.com/h2oai/h2o-3
- [PyPi](https://pypi.org/project/h2o) (πŸ“₯ 200K / month Β· πŸ“¦ 58 Β· ⏱️ 27.03.2025): 
pip install h2o
BigDL (πŸ₯ˆ32 Β· ⭐ 7.9K) - Accelerate local LLM inference and finetuning (LLaMA, Mistral,.. Apache-2 - [GitHub](https://github.com/intel/ipex-llm) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.4K Β· πŸ“₯ 690 Β· πŸ“‹ 2.9K - 39% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/intel-analytics/BigDL
- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 13K / month Β· πŸ“¦ 2 Β· ⏱️ 24.03.2024): 
pip install bigdl
- [Maven](https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4) (πŸ“¦ 5 Β· ⏱️ 20.04.2021): 
<dependency>
    <groupId>com.intel.analytics.bigdl</groupId>
    <artifactId>bigdl-SPARK_2.4</artifactId>
    <version>[VERSION]</version>
</dependency>
ColossalAI (πŸ₯ˆ31 Β· ⭐ 41K) - Making large AI models cheaper, faster and more accessible. Apache-2 - [GitHub](https://github.com/hpcaitech/ColossalAI) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 4.5K Β· πŸ“¦ 510 Β· πŸ“‹ 1.8K - 27% open Β· ⏱️ 18.04.2025): 
git clone https://github.com/hpcaitech/colossalai
FairScale (πŸ₯ˆ31 Β· ⭐ 3.3K) - PyTorch extensions for high performance and large scale training. BSD-3 - [GitHub](https://github.com/facebookresearch/fairscale) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 290 Β· πŸ“¦ 8.4K Β· πŸ“‹ 390 - 26% open Β· ⏱️ 26.04.2025): 
git clone https://github.com/facebookresearch/fairscale
- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 510K / month Β· πŸ“¦ 150 Β· ⏱️ 11.12.2022): 
pip install fairscale
- [Conda](https://anaconda.org/conda-forge/fairscale) (πŸ“₯ 450K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge fairscale
Submit it (πŸ₯ˆ31 Β· ⭐ 1.4K Β· πŸ“ˆ) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT - [GitHub](https://github.com/facebookincubator/submitit) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 140 Β· πŸ“¦ 4.5K Β· πŸ“‹ 130 - 39% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/facebookincubator/submitit
- [PyPi](https://pypi.org/project/submitit) (πŸ“₯ 480K / month Β· πŸ“¦ 74 Β· ⏱️ 21.05.2025): 
pip install submitit
- [Conda](https://anaconda.org/conda-forge/submitit) (πŸ“₯ 58K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge submitit
mpi4py (πŸ₯ˆ31 Β· ⭐ 850) - Python bindings for MPI. BSD-3 - [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 120 Β· πŸ“₯ 33K Β· πŸ“‹ 210 - 2% open Β· ⏱️ 10.05.2025): 
git clone https://github.com/mpi4py/mpi4py
- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 490K / month Β· πŸ“¦ 830 Β· ⏱️ 13.02.2025): 
pip install mpi4py
- [Conda](https://anaconda.org/conda-forge/mpi4py) (πŸ“₯ 3.9M Β· ⏱️ 09.05.2025): 
conda install -c conda-forge mpi4py
SynapseML (πŸ₯ˆ30 Β· ⭐ 5.1K) - Simple and Distributed Machine Learning. MIT - [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 840 Β· πŸ“‹ 800 - 49% open Β· ⏱️ 19.04.2025): 
git clone https://github.com/microsoft/SynapseML
- [PyPi](https://pypi.org/project/synapseml) (πŸ“₯ 820K / month Β· πŸ“¦ 7 Β· ⏱️ 17.04.2025): 
pip install synapseml
dask-ml (πŸ₯ˆ29 Β· ⭐ 940) - Scalable Machine Learning with Dask. BSD-3 - [GitHub](https://github.com/dask/dask-ml) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 260 Β· πŸ“¦ 1.3K Β· πŸ“‹ 550 - 51% open Β· ⏱️ 10.05.2025): 
git clone https://github.com/dask/dask-ml
- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 100K / month Β· πŸ“¦ 100 Β· ⏱️ 08.02.2025): 
pip install dask-ml
- [Conda](https://anaconda.org/conda-forge/dask-ml) (πŸ“₯ 980K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge dask-ml
Hivemind (πŸ₯‰27 Β· ⭐ 2.2K) - Decentralized deep learning in PyTorch. Built to train models on.. MIT - [GitHub](https://github.com/learning-at-home/hivemind) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 180 Β· πŸ“¦ 130 Β· πŸ“‹ 190 - 43% open Β· ⏱️ 06.05.2025): 
git clone https://github.com/learning-at-home/hivemind
- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 6.4K / month Β· πŸ“¦ 12 Β· ⏱️ 20.04.2025): 
pip install hivemind
Apache Singa (πŸ₯‰25 Β· ⭐ 3.4K) - a distributed deep learning platform. Apache-2 - [GitHub](https://github.com/apache/singa) (πŸ‘¨β€πŸ’» 97 Β· πŸ”€ 1.3K Β· πŸ“¦ 6 Β· πŸ“‹ 140 - 35% open Β· ⏱️ 26.03.2025): 
git clone https://github.com/apache/singa
- [Conda](https://anaconda.org/nusdbsystem/singa) (πŸ“₯ 1K Β· ⏱️ 25.03.2025): 
conda install -c nusdbsystem singa
- [Docker Hub](https://hub.docker.com/r/apache/singa) (πŸ“₯ 9.1K Β· ⭐ 4 Β· ⏱️ 31.05.2022): 
docker pull apache/singa
MMLSpark (πŸ₯‰23 Β· ⭐ 5.1K) - Simple and Distributed Machine Learning. MIT - [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 840 Β· πŸ“‹ 800 - 49% open Β· ⏱️ 19.04.2025): 
git clone https://github.com/microsoft/SynapseML
- [PyPi](https://pypi.org/project/mmlspark) (⏱️ 18.03.2020): 
pip install mmlspark
analytics-zoo (πŸ₯‰22 Β· ⭐ 2.6K) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2 - [GitHub](https://github.com/intel/analytics-zoo) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 730 Β· πŸ“‹ 1.3K - 32% open Β· ⏱️ 09.01.2025): 
git clone https://github.com/intel-analytics/analytics-zoo
- [PyPi](https://pypi.org/project/analytics-zoo) (πŸ“₯ 2.1K / month Β· πŸ“¦ 1 Β· ⏱️ 22.08.2022): 
pip install analytics-zoo
Show 18 hidden projects... - DEAP (πŸ₯ˆ34 Β· ⭐ 6.1K) - Distributed Evolutionary Algorithms in Python. ❗️LGPL-3.0 - ipyparallel (πŸ₯ˆ29 Β· ⭐ 2.6K) - IPython Parallel: Interactive Parallel Computing in.. ❗Unlicensed - petastorm (πŸ₯‰28 Β· ⭐ 1.8K Β· πŸ’€) - Petastorm library enables single machine or distributed.. Apache-2 - TensorFlowOnSpark (πŸ₯‰27 Β· ⭐ 3.9K Β· πŸ’€) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2 - Elephas (πŸ₯‰25 Β· ⭐ 1.6K Β· πŸ’€) - Distributed Deep learning with Keras & Spark. MIT keras - Mesh (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2 - BytePS (πŸ₯‰21 Β· ⭐ 3.7K Β· πŸ’€) - A high performance and generic framework for distributed DNN.. Apache-2 - sk-dist (πŸ₯‰21 Β· ⭐ 280 Β· πŸ’€) - Distributed scikit-learn meta-estimators in PySpark. Apache-2 - somoclu (πŸ₯‰21 Β· ⭐ 270 Β· πŸ’€) - Massively parallel self-organizing maps: accelerate training on.. MIT - mesh-transformer-jax (πŸ₯‰18 Β· ⭐ 6.3K Β· πŸ’€) - Model parallel transformers in JAX and Haiku. Apache-2 - launchpad (πŸ₯‰18 Β· ⭐ 320 Β· πŸ’€) - Launchpad is a library that simplifies writing.. Apache-2 - Fiber (πŸ₯‰17 Β· ⭐ 1K Β· πŸ’€) - Distributed Computing for AI Made Simple. Apache-2 - parallelformers (πŸ₯‰17 Β· ⭐ 780 Β· πŸ’€) - Parallelformers: An Efficient Model Parallelization.. Apache-2 - bluefog (πŸ₯‰17 Β· ⭐ 290 Β· πŸ’€) - Distributed and decentralized training framework for PyTorch.. Apache-2 - TensorFrames (πŸ₯‰15 Β· ⭐ 720 Β· πŸ’€) - Tensorflow wrapper for DataFrames on Apache Spark. Apache-2 - LazyCluster (πŸ₯‰14 Β· ⭐ 49 Β· πŸ’€) - Distributed machine learning made simple. Apache-2 - autodist (πŸ₯‰12 Β· ⭐ 130 Β· πŸ’€) - Simple Distributed Deep Learning on TensorFlow. Apache-2 - moolib (πŸ₯‰11 Β· ⭐ 370 Β· πŸ’€) - A library for distributed ML training with PyTorch. MIT


Hyperparameter Optimization & AutoML

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Libraries for hyperparameter optimization, automl and neural architecture search.

Optuna (πŸ₯‡43 Β· ⭐ 12K) - A hyperparameter optimization framework. MIT - [GitHub](https://github.com/optuna/optuna) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 1.1K Β· πŸ“¦ 27K Β· πŸ“‹ 1.7K - 3% open Β· ⏱️ 16.05.2025): 
git clone https://github.com/optuna/optuna
- [PyPi](https://pypi.org/project/optuna) (πŸ“₯ 4.1M / month Β· πŸ“¦ 1.2K Β· ⏱️ 14.04.2025): 
pip install optuna
- [Conda](https://anaconda.org/conda-forge/optuna) (πŸ“₯ 2.7M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge optuna
AutoGluon (πŸ₯‡36 Β· ⭐ 8.9K) - Fast and Accurate ML in 3 Lines of Code. Apache-2 - [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1K Β· πŸ“¦ 1.1K Β· πŸ“‹ 1.7K - 24% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/autogluon/autogluon
- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 190K / month Β· πŸ“¦ 32 Β· ⏱️ 22.05.2025): 
pip install autogluon
- [Conda](https://anaconda.org/conda-forge/autogluon) (πŸ“₯ 35K Β· ⏱️ 03.05.2025): 
conda install -c conda-forge autogluon
- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (πŸ“₯ 16K Β· ⭐ 19 Β· ⏱️ 07.03.2024): 
docker pull autogluon/autogluon
Ax (πŸ₯‡36 Β· ⭐ 2.5K) - Adaptive Experimentation Platform. MIT - [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 320 Β· πŸ“¦ 970 Β· πŸ“‹ 880 - 12% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/facebook/Ax
- [PyPi](https://pypi.org/project/ax-platform) (πŸ“₯ 240K / month Β· πŸ“¦ 63 Β· ⏱️ 08.05.2025): 
pip install ax-platform
- [Conda](https://anaconda.org/conda-forge/ax-platform) (πŸ“₯ 39K Β· ⏱️ 09.05.2025): 
conda install -c conda-forge ax-platform
Bayesian Optimization (πŸ₯‡35 Β· ⭐ 8.2K) - A Python implementation of global optimization with.. MIT - [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 1.6K Β· πŸ“₯ 180 Β· πŸ“¦ 3.7K Β· πŸ“‹ 380 - 1% open Β· ⏱️ 19.05.2025): 
git clone https://github.com/fmfn/BayesianOptimization
- [PyPi](https://pypi.org/project/bayesian-optimization) (πŸ“₯ 320K / month Β· πŸ“¦ 170 Β· ⏱️ 12.05.2025): 
pip install bayesian-optimization
Hyperopt (πŸ₯‡34 Β· ⭐ 7.4K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3 - [GitHub](https://github.com/hyperopt/hyperopt) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.1K Β· πŸ“¦ 21K Β· πŸ“‹ 760 - 18% open Β· ⏱️ 27.12.2024): 
git clone https://github.com/hyperopt/hyperopt
- [PyPi](https://pypi.org/project/hyperopt) (πŸ“₯ 2.6M / month Β· πŸ“¦ 450 Β· ⏱️ 17.11.2021): 
pip install hyperopt
- [Conda](https://anaconda.org/conda-forge/hyperopt) (πŸ“₯ 830K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge hyperopt
BoTorch (πŸ₯‡34 Β· ⭐ 3.3K) - Bayesian optimization in PyTorch. MIT - [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 420 Β· πŸ“¦ 1.5K Β· πŸ“‹ 590 - 13% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/pytorch/botorch
- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 320K / month Β· πŸ“¦ 110 Β· ⏱️ 06.05.2025): 
pip install botorch
- [Conda](https://anaconda.org/conda-forge/botorch) (πŸ“₯ 150K Β· ⏱️ 07.05.2025): 
conda install -c conda-forge botorch
nevergrad (πŸ₯ˆ33 Β· ⭐ 4.1K) - A Python toolbox for performing gradient-free optimization. MIT - [GitHub](https://github.com/facebookresearch/nevergrad) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 360 Β· πŸ“¦ 910 Β· πŸ“‹ 310 - 40% open Β· ⏱️ 23.04.2025): 
git clone https://github.com/facebookresearch/nevergrad
- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 150K / month Β· πŸ“¦ 72 Β· ⏱️ 23.04.2025): 
pip install nevergrad
- [Conda](https://anaconda.org/conda-forge/nevergrad) (πŸ“₯ 62K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge nevergrad
AutoKeras (πŸ₯ˆ32 Β· ⭐ 9.2K) - AutoML library for deep learning. Apache-2 - [GitHub](https://github.com/keras-team/autokeras) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.4K Β· πŸ“₯ 20K Β· πŸ“¦ 850 Β· πŸ“‹ 910 - 16% open Β· ⏱️ 16.12.2024): 
git clone https://github.com/keras-team/autokeras
- [PyPi](https://pypi.org/project/autokeras) (πŸ“₯ 19K / month Β· πŸ“¦ 13 Β· ⏱️ 20.03.2024): 
pip install autokeras
featuretools (πŸ₯ˆ32 Β· ⭐ 7.4K) - An open source python library for automated feature engineering. BSD-3 - [GitHub](https://github.com/alteryx/featuretools) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 880 Β· πŸ“¦ 2.1K Β· πŸ“‹ 1K - 15% open Β· ⏱️ 13.11.2024): 
git clone https://github.com/alteryx/featuretools
- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 79K / month Β· πŸ“¦ 74 Β· ⏱️ 14.05.2024): 
pip install featuretools
- [Conda](https://anaconda.org/conda-forge/featuretools) (πŸ“₯ 250K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge featuretools
Keras Tuner (πŸ₯ˆ32 Β· ⭐ 2.9K Β· πŸ’€) - A Hyperparameter Tuning Library for Keras. Apache-2 - [GitHub](https://github.com/keras-team/keras-tuner) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 400 Β· πŸ“¦ 5.9K Β· πŸ“‹ 500 - 44% open Β· ⏱️ 24.06.2024): 
git clone https://github.com/keras-team/keras-tuner
- [PyPi](https://pypi.org/project/keras-tuner) (πŸ“₯ 1.6M / month Β· πŸ“¦ 120 Β· ⏱️ 04.03.2024): 
pip install keras-tuner
- [Conda](https://anaconda.org/conda-forge/keras-tuner) (πŸ“₯ 57K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge keras-tuner
lazypredict (πŸ₯ˆ29 Β· ⭐ 3.1K) - Lazy Predict help build a lot of basic models without much code.. MIT - [GitHub](https://github.com/shankarpandala/lazypredict) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 360 Β· πŸ“¦ 1.4K Β· πŸ“‹ 160 - 64% open Β· ⏱️ 18.05.2025): 
git clone https://github.com/shankarpandala/lazypredict
- [PyPi](https://pypi.org/project/lazypredict) (πŸ“₯ 21K / month Β· πŸ“¦ 8 Β· ⏱️ 05.04.2025): 
pip install lazypredict
- [Conda](https://anaconda.org/conda-forge/lazypredict) (πŸ“₯ 5K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge lazypredict
mljar-supervised (πŸ₯ˆ28 Β· ⭐ 3.2K) - Python package for AutoML on Tabular Data with Feature.. MIT - [GitHub](https://github.com/mljar/mljar-supervised) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 420 Β· πŸ“¦ 170 Β· πŸ“‹ 670 - 20% open Β· ⏱️ 14.04.2025): 
git clone https://github.com/mljar/mljar-supervised
- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 7K / month Β· πŸ“¦ 6 Β· ⏱️ 01.04.2025): 
pip install mljar-supervised
- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (πŸ“₯ 42K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge mljar-supervised
FEDOT (πŸ₯ˆ25 Β· ⭐ 670) - Automated modeling and machine learning framework FEDOT. BSD-3 - [GitHub](https://github.com/aimclub/FEDOT) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 88 Β· πŸ“¦ 62 Β· πŸ“‹ 570 - 11% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/nccr-itmo/FEDOT
- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 1.1K / month Β· πŸ“¦ 7 Β· ⏱️ 10.03.2025): 
pip install fedot
Hyperactive (πŸ₯‰24 Β· ⭐ 520) - An optimization and data collection toolbox for convenient and fast.. MIT - [GitHub](https://github.com/SimonBlanke/Hyperactive) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 48 Β· πŸ“₯ 310 Β· πŸ“¦ 38 Β· πŸ“‹ 82 - 19% open Β· ⏱️ 18.05.2025): 
git clone https://github.com/SimonBlanke/Hyperactive
- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 2.4K / month Β· πŸ“¦ 13 Β· ⏱️ 15.08.2024): 
pip install hyperactive
AlphaPy (πŸ₯‰21 Β· ⭐ 1.5K) - Python AutoML for Trading Systems and Sports Betting. Apache-2 - [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 250 Β· πŸ“¦ 10 Β· πŸ“‹ 44 - 34% open Β· ⏱️ 15.12.2024): 
git clone https://github.com/ScottfreeLLC/AlphaPy
- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 660 / month Β· ⏱️ 29.08.2020): 
pip install alphapy
featurewiz (πŸ₯‰21 Β· ⭐ 650) - Use advanced feature engineering strategies and select best.. Apache-2 - [GitHub](https://github.com/AutoViML/featurewiz) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 96 Β· πŸ“¦ 84 Β· πŸ“‹ 110 - 0% open Β· ⏱️ 19.02.2025): 
git clone https://github.com/AutoViML/featurewiz
- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 7.8K / month Β· πŸ“¦ 4 Β· ⏱️ 19.02.2025): 
pip install featurewiz
Auto ViML (πŸ₯‰21 Β· ⭐ 540) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2 - [GitHub](https://github.com/AutoViML/Auto_ViML) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 100 Β· πŸ“¦ 28 Β· ⏱️ 30.01.2025): 
git clone https://github.com/AutoViML/Auto_ViML
- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 3.7K / month Β· πŸ“¦ 3 Β· ⏱️ 30.01.2025): 
pip install autoviml
opytimizer (πŸ₯‰18 Β· ⭐ 620 Β· πŸ’€) - Opytimizer is a Python library consisting of meta-heuristic.. Apache-2 - [GitHub](https://github.com/gugarosa/opytimizer) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 42 Β· πŸ“¦ 21 Β· ⏱️ 18.08.2024): 
git clone https://github.com/gugarosa/opytimizer
- [PyPi](https://pypi.org/project/opytimizer) (πŸ“₯ 450 / month Β· ⏱️ 18.08.2024): 
pip install opytimizer
Show 34 hidden projects... - TPOT (πŸ₯ˆ33 Β· ⭐ 9.9K) - A Python Automated Machine Learning tool that optimizes machine.. ❗️LGPL-3.0 - scikit-optimize (πŸ₯ˆ33 Β· ⭐ 2.8K Β· πŸ’€) - Sequential model-based optimization with a.. BSD-3 - NNI (πŸ₯ˆ31 Β· ⭐ 14K Β· πŸ’€) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT - auto-sklearn (πŸ₯ˆ31 Β· ⭐ 7.8K Β· πŸ’€) - Automated Machine Learning with scikit-learn. BSD-3 - SMAC3 (πŸ₯ˆ28 Β· ⭐ 1.2K) - SMAC3: A Versatile Bayesian Optimization Package for.. ❗️BSD-1-Clause - Hyperas (πŸ₯ˆ27 Β· ⭐ 2.2K Β· πŸ’€) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT - Talos (πŸ₯ˆ25 Β· ⭐ 1.6K Β· πŸ’€) - Hyperparameter Experiments with TensorFlow and Keras. MIT - GPyOpt (πŸ₯ˆ25 Β· ⭐ 940 Β· πŸ’€) - Gaussian Process Optimization using GPy. BSD-3 - AdaNet (πŸ₯‰24 Β· ⭐ 3.5K Β· πŸ’€) - Fast and flexible AutoML with learning guarantees. Apache-2 - auto_ml (πŸ₯‰24 Β· ⭐ 1.6K Β· πŸ’€) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT - lightwood (πŸ₯‰24 Β· ⭐ 470) - Lightwood is Legos for Machine Learning. ❗️GPL-3.0 - HpBandSter (πŸ₯‰23 Β· ⭐ 620 Β· πŸ’€) - a distributed Hyperband implementation on Steroids. BSD-3 - Neuraxle (πŸ₯‰22 Β· ⭐ 610 Β· πŸ’€) - The worlds cleanest AutoML library - Do hyperparameter tuning.. Apache-2 - Orion (πŸ₯‰22 Β· ⭐ 290 Β· πŸ’€) - Asynchronous Distributed Hyperparameter Optimization. BSD-3 - igel (πŸ₯‰21 Β· ⭐ 3.1K Β· πŸ’€) - a delightful machine learning tool that allows you to train, test, and.. MIT - MLBox (πŸ₯‰21 Β· ⭐ 1.5K Β· πŸ’€) - MLBox is a powerful Automated Machine Learning python library. ❗️BSD-1-Clause - Test Tube (πŸ₯‰21 Β· ⭐ 740 Β· πŸ’€) - Python library to easily log experiments and parallelize.. MIT - sklearn-deap (πŸ₯‰20 Β· ⭐ 770 Β· πŸ’€) - Use evolutionary algorithms instead of gridsearch in.. MIT - optunity (πŸ₯‰20 Β· ⭐ 420 Β· πŸ’€) - optimization routines for hyperparameter tuning. BSD-3 - Dragonfly (πŸ₯‰19 Β· ⭐ 880 Β· πŸ’€) - An open source python library for scalable Bayesian optimisation. MIT - Auto Tune Models (πŸ₯‰19 Β· ⭐ 530 Β· πŸ’€) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT - Sherpa (πŸ₯‰19 Β· ⭐ 340 Β· πŸ’€) - Hyperparameter optimization that enables researchers to.. ❗️GPL-3.0 - Xcessiv (πŸ₯‰18 Β· ⭐ 1.3K Β· πŸ’€) - A web-based application for quick, scalable, and automated.. Apache-2 - shap-hypetune (πŸ₯‰18 Β· ⭐ 580 Β· πŸ’€) - A python package for simultaneous Hyperparameters Tuning and.. MIT - Advisor (πŸ₯‰17 Β· ⭐ 1.6K Β· πŸ’€) - Open-source implementation of Google Vizier for hyper parameters.. Apache-2 - HyperparameterHunter (πŸ₯‰17 Β· ⭐ 710 Β· πŸ’€) - Easy hyperparameter optimization and automatic result.. MIT - automl-gs (πŸ₯‰16 Β· ⭐ 1.9K Β· πŸ’€) - Provide an input CSV and a target field to predict, generate a.. MIT - Parfit (πŸ₯‰15 Β· ⭐ 200 Β· πŸ’€) - A package for parallelizing the fit and flexibly scoring of.. MIT - ENAS (πŸ₯‰13 Β· ⭐ 2.7K Β· πŸ’€) - PyTorch implementation of Efficient Neural Architecture Search via.. Apache-2 - Auptimizer (πŸ₯‰13 Β· ⭐ 200 Β· πŸ’€) - An automatic ML model optimization tool. ❗️GPL-3.0 - Hypermax (πŸ₯‰12 Β· ⭐ 110 Β· πŸ’€) - Better, faster hyper-parameter optimization. BSD-3 - model_search (πŸ₯‰11 Β· ⭐ 3.3K Β· πŸ’€) - AutoML algorithms for model architecture search at scale. Apache-2 - Devol (πŸ₯‰11 Β· ⭐ 950 Β· πŸ’€) - Genetic neural architecture search with Keras. MIT - Hypertunity (πŸ₯‰10 Β· ⭐ 140 Β· πŸ’€) - A toolset for black-box hyperparameter optimisation. Apache-2


Reinforcement Learning

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Libraries for building and evaluating reinforcement learning & agent-based systems.

FinRL (πŸ₯‡32 Β· ⭐ 12K) - FinRL: Financial Reinforcement Learning. MIT - [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.7K Β· πŸ“¦ 93 Β· πŸ“‹ 740 - 34% open Β· ⏱️ 05.05.2025): 
git clone https://github.com/AI4Finance-Foundation/FinRL
- [PyPi](https://pypi.org/project/finrl) (πŸ“₯ 2.8K / month Β· ⏱️ 08.01.2022): 
pip install finrl
ViZDoom (πŸ₯‡29 Β· ⭐ 1.8K) - Reinforcement Learning environments based on the 1993 game Doom. MIT - [GitHub](https://github.com/Farama-Foundation/ViZDoom) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 400 Β· πŸ“₯ 12K Β· πŸ“¦ 330 Β· πŸ“‹ 470 - 6% open Β· ⏱️ 12.03.2025): 
git clone https://github.com/mwydmuch/ViZDoom
- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 6.8K / month Β· πŸ“¦ 15 Β· ⏱️ 20.08.2024): 
pip install vizdoom
Acme (πŸ₯ˆ28 Β· ⭐ 3.7K) - A library of reinforcement learning components and agents. Apache-2 - [GitHub](https://github.com/google-deepmind/acme) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 470 Β· πŸ“¦ 240 Β· πŸ“‹ 270 - 23% open Β· ⏱️ 03.05.2025): 
git clone https://github.com/deepmind/acme
- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 1.7K / month Β· πŸ“¦ 3 Β· ⏱️ 10.02.2022): 
pip install dm-acme
- [Conda](https://anaconda.org/conda-forge/dm-acme) (πŸ“₯ 13K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge dm-acme
TF-Agents (πŸ₯ˆ28 Β· ⭐ 2.9K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2 - [GitHub](https://github.com/tensorflow/agents) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 720 Β· πŸ“‹ 680 - 30% open Β· ⏱️ 30.04.2025): 
git clone https://github.com/tensorflow/agents
- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 27K / month Β· πŸ“¦ 14 Β· ⏱️ 14.12.2023): 
pip install tf-agents
Dopamine (πŸ₯ˆ26 Β· ⭐ 11K) - Dopamine is a research framework for fast prototyping of.. Apache-2 - [GitHub](https://github.com/google/dopamine) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 1.4K Β· πŸ“¦ 21 Β· πŸ“‹ 190 - 54% open Β· ⏱️ 04.11.2024): 
git clone https://github.com/google/dopamine
- [PyPi](https://pypi.org/project/dopamine-rl) (πŸ“₯ 24K / month Β· πŸ“¦ 10 Β· ⏱️ 31.10.2024): 
pip install dopamine-rl
TensorForce (πŸ₯ˆ26 Β· ⭐ 3.3K Β· πŸ’€) - Tensorforce: a TensorFlow library for applied.. Apache-2 - [GitHub](https://github.com/tensorforce/tensorforce) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 530 Β· πŸ“¦ 460 Β· πŸ“‹ 680 - 6% open Β· ⏱️ 31.07.2024): 
git clone https://github.com/tensorforce/tensorforce
- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 520 / month Β· πŸ“¦ 4 Β· ⏱️ 30.08.2021): 
pip install tensorforce
RLax (πŸ₯ˆ26 Β· ⭐ 1.3K) - A library of reinforcement learning building blocks in JAX. Apache-2 - [GitHub](https://github.com/google-deepmind/rlax) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 91 Β· πŸ“¦ 340 Β· πŸ“‹ 27 - 29% open Β· ⏱️ 08.05.2025): 
git clone https://github.com/deepmind/rlax
- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 16K / month Β· πŸ“¦ 22 Β· ⏱️ 08.05.2025): 
pip install rlax
PARL (πŸ₯‰24 Β· ⭐ 3.4K) - A high-performance distributed training framework for Reinforcement.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/PARL) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 820 Β· πŸ“¦ 140 Β· πŸ“‹ 540 - 23% open Β· ⏱️ 24.01.2025): 
git clone https://github.com/PaddlePaddle/PARL
- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 790 / month Β· πŸ“¦ 1 Β· ⏱️ 13.05.2022): 
pip install parl
PFRL (πŸ₯‰22 Β· ⭐ 1.2K Β· πŸ’€) - PFRL: a PyTorch-based deep reinforcement learning library. MIT - [GitHub](https://github.com/pfnet/pfrl) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 150 Β· πŸ“¦ 120 Β· πŸ“‹ 80 - 41% open Β· ⏱️ 04.08.2024): 
git clone https://github.com/pfnet/pfrl
- [PyPi](https://pypi.org/project/pfrl) (πŸ“₯ 340 / month Β· πŸ“¦ 1 Β· ⏱️ 16.07.2023): 
pip install pfrl
ReAgent (πŸ₯‰21 Β· ⭐ 3.6K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3 - [GitHub](https://github.com/facebookresearch/ReAgent) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 510 Β· πŸ“‹ 160 - 53% open Β· ⏱️ 12.03.2025): 
git clone https://github.com/facebookresearch/ReAgent
- [PyPi](https://pypi.org/project/reagent) (πŸ“₯ 31 / month Β· ⏱️ 27.05.2020): 
pip install reagent
rliable (πŸ₯‰14 Β· ⭐ 830 Β· πŸ’€) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on.. Apache-2 - [GitHub](https://github.com/google-research/rliable) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 49 Β· πŸ“¦ 210 Β· πŸ“‹ 20 - 15% open Β· ⏱️ 12.08.2024): 
git clone https://github.com/google-research/rliable
- [PyPi](https://pypi.org/project/rliable`): 
pip install rliable`
Show 12 hidden projects... - OpenAI Gym (πŸ₯‡42 Β· ⭐ 36K Β· πŸ’€) - A toolkit for developing and comparing reinforcement learning.. MIT - baselines (πŸ₯ˆ28 Β· ⭐ 16K Β· πŸ’€) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT - TensorLayer (πŸ₯ˆ27 Β· ⭐ 7.4K Β· πŸ’€) - Deep Learning and Reinforcement Learning Library for.. Apache-2 - keras-rl (πŸ₯ˆ27 Β· ⭐ 5.6K Β· πŸ’€) - Deep Reinforcement Learning for Keras. MIT - garage (πŸ₯‰25 Β· ⭐ 2K Β· πŸ’€) - A toolkit for reproducible reinforcement learning research. MIT - Stable Baselines (πŸ₯‰24 Β· ⭐ 4.3K Β· πŸ’€) - A fork of OpenAI Baselines, implementations of.. MIT - ChainerRL (πŸ₯‰24 Β· ⭐ 1.2K Β· πŸ’€) - ChainerRL is a deep reinforcement learning library built on top of.. MIT - TRFL (πŸ₯‰22 Β· ⭐ 3.1K Β· πŸ’€) - TensorFlow Reinforcement Learning. Apache-2 - Coach (πŸ₯‰20 Β· ⭐ 2.3K Β· πŸ’€) - Reinforcement Learning Coach by Intel AI Lab enables easy.. Apache-2 - SerpentAI (πŸ₯‰18 Β· ⭐ 6.9K Β· πŸ’€) - Game Agent Framework. Helping you create AIs / Bots that learn to.. MIT - DeepMind Lab (πŸ₯‰17 Β· ⭐ 7.2K Β· πŸ’€) - A customisable 3D platform for agent-based AI research. ❗Unlicensed - Maze (πŸ₯‰12 Β· ⭐ 280 Β· πŸ’€) - Maze Applied Reinforcement Learning Framework. ❗️Custom


Recommender Systems

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Libraries for building and evaluating recommendation systems.

Recommenders (πŸ₯‡35 Β· ⭐ 20K) - Best Practices on Recommendation Systems. MIT - [GitHub](https://github.com/recommenders-team/recommenders) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 3.2K Β· πŸ“₯ 740 Β· πŸ“¦ 170 Β· πŸ“‹ 880 - 18% open Β· ⏱️ 08.05.2025): 
git clone https://github.com/microsoft/recommenders
- [PyPi](https://pypi.org/project/recommenders) (πŸ“₯ 20K / month Β· πŸ“¦ 4 Β· ⏱️ 24.12.2024): 
pip install recommenders
torchrec (πŸ₯‡31 Β· ⭐ 2.2K) - Pytorch domain library for recommendation systems. BSD-3 - [GitHub](https://github.com/pytorch/torchrec) (πŸ‘¨β€πŸ’» 350 Β· πŸ”€ 510 Β· πŸ“¦ 210 Β· πŸ“‹ 480 - 70% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/pytorch/torchrec
- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (πŸ“₯ 1.8K / month Β· ⏱️ 12.05.2022): 
pip install torchrec-nightly-cpu
Cornac (πŸ₯ˆ30 Β· ⭐ 960) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 - [GitHub](https://github.com/PreferredAI/cornac) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 150 Β· πŸ“¦ 280 Β· πŸ“‹ 170 - 17% open Β· ⏱️ 26.04.2025): 
git clone https://github.com/PreferredAI/cornac
- [PyPi](https://pypi.org/project/cornac) (πŸ“₯ 54K / month Β· πŸ“¦ 18 Β· ⏱️ 26.04.2025): 
pip install cornac
- [Conda](https://anaconda.org/conda-forge/cornac) (πŸ“₯ 820K Β· ⏱️ 26.04.2025): 
conda install -c conda-forge cornac
scikit-surprise (πŸ₯ˆ28 Β· ⭐ 6.6K Β· πŸ’€) - A Python scikit for building and analyzing recommender.. BSD-3 - [GitHub](https://github.com/NicolasHug/Surprise) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 1K Β· πŸ“¦ 21 Β· πŸ“‹ 400 - 21% open Β· ⏱️ 14.06.2024): 
git clone https://github.com/NicolasHug/Surprise
- [PyPi](https://pypi.org/project/scikit-surprise) (πŸ“₯ 140K / month Β· πŸ“¦ 37 Β· ⏱️ 19.05.2024): 
pip install scikit-surprise
- [Conda](https://anaconda.org/conda-forge/scikit-surprise) (πŸ“₯ 480K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge scikit-surprise
RecBole (πŸ₯ˆ28 Β· ⭐ 3.8K) - A unified, comprehensive and efficient recommendation library. MIT - [GitHub](https://github.com/RUCAIBox/RecBole) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 660 Β· πŸ“‹ 1K - 30% open Β· ⏱️ 24.02.2025): 
git clone https://github.com/RUCAIBox/RecBole
- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 99K / month Β· πŸ“¦ 2 Β· ⏱️ 24.02.2025): 
pip install recbole
- [Conda](https://anaconda.org/aibox/recbole) (πŸ“₯ 8.6K Β· ⏱️ 25.03.2025): 
conda install -c aibox recbole
TF Recommenders (πŸ₯‰24 Β· ⭐ 1.9K) - TensorFlow Recommenders is a library for building.. Apache-2 - [GitHub](https://github.com/tensorflow/recommenders) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 290 Β· πŸ“‹ 450 - 59% open Β· ⏱️ 16.01.2025): 
git clone https://github.com/tensorflow/recommenders
- [PyPi](https://pypi.org/project/tensorflow-recommenders) (πŸ“₯ 240K / month Β· πŸ“¦ 2 Β· ⏱️ 03.02.2023): 
pip install tensorflow-recommenders
Show 11 hidden projects... - implicit (πŸ₯ˆ30 Β· ⭐ 3.7K Β· πŸ’€) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT - lightfm (πŸ₯ˆ29 Β· ⭐ 4.9K Β· πŸ’€) - A Python implementation of LightFM, a hybrid recommendation.. Apache-2 - lkpy (πŸ₯ˆ29 Β· ⭐ 290) - Python recommendation toolkit. MIT - TF Ranking (πŸ₯‰26 Β· ⭐ 2.8K Β· πŸ’€) - Learning to Rank in TensorFlow. Apache-2 - tensorrec (πŸ₯‰21 Β· ⭐ 1.3K Β· πŸ’€) - A TensorFlow recommendation algorithm and framework in.. Apache-2 - fastFM (πŸ₯‰21 Β· ⭐ 1.1K Β· πŸ’€) - fastFM: A Library for Factorization Machines. BSD-3 - Spotlight (πŸ₯‰19 Β· ⭐ 3K Β· πŸ’€) - Deep recommender models using PyTorch. MIT - recmetrics (πŸ₯‰19 Β· ⭐ 580 Β· πŸ’€) - A library of metrics for evaluating recommender systems. MIT - Case Recommender (πŸ₯‰18 Β· ⭐ 500 Β· πŸ’€) - Case Recommender: A Flexible and Extensible Python.. MIT - OpenRec (πŸ₯‰16 Β· ⭐ 410 Β· πŸ’€) - OpenRec is an open-source and modular library for neural network-.. Apache-2 - Collie (πŸ₯‰11 Β· ⭐ 100 Β· πŸ’€) - A library for preparing, training, and evaluating scalable deep.. BSD-3


Privacy Machine Learning

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Libraries for encrypted and privacy-preserving machine learning using methods like federated learning & differential privacy.

PySyft (πŸ₯‡32 Β· ⭐ 9.7K) - Perform data science on data that remains in someone elses server. Apache-2 - [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 520 Β· πŸ”€ 2K Β· πŸ“₯ 2K Β· πŸ“¦ 1 Β· πŸ“‹ 3.4K - 1% open Β· ⏱️ 13.04.2025): 
git clone https://github.com/OpenMined/PySyft
- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 7.3K / month Β· πŸ“¦ 5 Β· ⏱️ 13.04.2025): 
pip install syft
Opacus (πŸ₯‡32 Β· ⭐ 1.8K) - Training PyTorch models with differential privacy. Apache-2 - [GitHub](https://github.com/pytorch/opacus) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 360 Β· πŸ“₯ 140 Β· πŸ“¦ 1.1K Β· πŸ“‹ 330 - 20% open Β· ⏱️ 13.05.2025): 
git clone https://github.com/pytorch/opacus
- [PyPi](https://pypi.org/project/opacus) (πŸ“₯ 100K / month Β· πŸ“¦ 42 Β· ⏱️ 18.02.2025): 
pip install opacus
- [Conda](https://anaconda.org/conda-forge/opacus) (πŸ“₯ 24K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge opacus
TensorFlow Privacy (πŸ₯ˆ25 Β· ⭐ 2K) - Library for training machine learning models with.. Apache-2 - [GitHub](https://github.com/tensorflow/privacy) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 450 Β· πŸ“₯ 190 Β· πŸ“‹ 210 - 55% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/tensorflow/privacy
- [PyPi](https://pypi.org/project/tensorflow-privacy) (πŸ“₯ 20K / month Β· πŸ“¦ 21 Β· ⏱️ 14.02.2024): 
pip install tensorflow-privacy
TFEncrypted (πŸ₯‰24 Β· ⭐ 1.2K Β· πŸ’€) - A Framework for Encrypted Machine Learning in.. Apache-2 - [GitHub](https://github.com/tf-encrypted/tf-encrypted) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 210 Β· πŸ“¦ 68 Β· πŸ“‹ 440 - 32% open Β· ⏱️ 25.09.2024): 
git clone https://github.com/tf-encrypted/tf-encrypted
- [PyPi](https://pypi.org/project/tf-encrypted) (πŸ“₯ 710 / month Β· πŸ“¦ 9 Β· ⏱️ 16.11.2022): 
pip install tf-encrypted
FATE (πŸ₯‰23 Β· ⭐ 5.9K) - An Industrial Grade Federated Learning Framework. Apache-2 - [GitHub](https://github.com/FederatedAI/FATE) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.6K Β· πŸ“‹ 2.1K - 3% open Β· ⏱️ 19.11.2024): 
git clone https://github.com/FederatedAI/FATE
- [PyPi](https://pypi.org/project/ETAF) (⏱️ 06.05.2020): 
pip install ETAF
CrypTen (πŸ₯‰21 Β· ⭐ 1.6K) - A framework for Privacy Preserving Machine Learning. MIT - [GitHub](https://github.com/facebookresearch/CrypTen) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 290 Β· πŸ“‹ 280 - 28% open Β· ⏱️ 23.11.2024): 
git clone https://github.com/facebookresearch/CrypTen
- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 520 / month Β· πŸ“¦ 1 Β· ⏱️ 08.12.2022): 
pip install crypten
Show 1 hidden projects... - PipelineDP (πŸ₯‰20 Β· ⭐ 280) - PipelineDP is a Python framework for applying differentially.. Apache-2


Workflow & Experiment Tracking

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Libraries to organize, track, and visualize machine learning experiments.

mlflow (πŸ₯‡44 Β· ⭐ 21K) - Open source platform for the machine learning lifecycle. Apache-2 - [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 860 Β· πŸ”€ 4.5K Β· πŸ“¦ 62K Β· πŸ“‹ 4.7K - 39% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/mlflow/mlflow
- [PyPi](https://pypi.org/project/mlflow) (πŸ“₯ 17M / month Β· πŸ“¦ 1.1K Β· ⏱️ 21.05.2025): 
pip install mlflow
- [Conda](https://anaconda.org/conda-forge/mlflow) (πŸ“₯ 3.2M Β· ⏱️ 26.04.2025): 
conda install -c conda-forge mlflow
wandb client (πŸ₯‡43 Β· ⭐ 9.9K) - The AI developer platform. Use Weights & Biases to train and fine-.. MIT - [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 740 Β· πŸ“₯ 720 Β· πŸ“¦ 79K Β· πŸ“‹ 3.6K - 17% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/wandb/client
- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 18M / month Β· πŸ“¦ 1.9K Β· ⏱️ 07.05.2025): 
pip install wandb
- [Conda](https://anaconda.org/conda-forge/wandb) (πŸ“₯ 1.1M Β· ⏱️ 08.05.2025): 
conda install -c conda-forge wandb
Tensorboard (πŸ₯‡43 Β· ⭐ 6.9K) - TensorFlows Visualization Toolkit. Apache-2 - [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 1.7K Β· πŸ“¦ 320K Β· πŸ“‹ 1.9K - 35% open Β· ⏱️ 09.05.2025): 
git clone https://github.com/tensorflow/tensorboard
- [PyPi](https://pypi.org/project/tensorboard) (πŸ“₯ 27M / month Β· πŸ“¦ 2.5K Β· ⏱️ 12.02.2025): 
pip install tensorboard
- [Conda](https://anaconda.org/conda-forge/tensorboard) (πŸ“₯ 5.6M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge tensorboard
DVC (πŸ₯‡41 Β· ⭐ 14K) - Data Versioning and ML Experiments. Apache-2 - [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 1.2K Β· πŸ“¦ 24K Β· πŸ“‹ 4.8K - 5% open Β· ⏱️ 20.05.2025): 
git clone https://github.com/iterative/dvc
- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 660K / month Β· πŸ“¦ 140 Β· ⏱️ 06.05.2025): 
pip install dvc
- [Conda](https://anaconda.org/conda-forge/dvc) (πŸ“₯ 2.8M Β· ⏱️ 06.05.2025): 
conda install -c conda-forge dvc
SageMaker SDK (πŸ₯‡41 Β· ⭐ 2.2K) - A library for training and deploying machine learning.. Apache-2 - [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 1.2K Β· πŸ“¦ 6K Β· πŸ“‹ 1.6K - 20% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/aws/sagemaker-python-sdk
- [PyPi](https://pypi.org/project/sagemaker) (πŸ“₯ 25M / month Β· πŸ“¦ 180 Β· ⏱️ 19.05.2025): 
pip install sagemaker
- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (πŸ“₯ 1.5M Β· ⏱️ 21.05.2025): 
conda install -c conda-forge sagemaker-python-sdk
Metaflow (πŸ₯ˆ36 Β· ⭐ 8.8K) - Build, Manage and Deploy AI/ML Systems. Apache-2 - [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 830 Β· πŸ“¦ 910 Β· πŸ“‹ 800 - 43% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/Netflix/metaflow
- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 250K / month Β· πŸ“¦ 52 Β· ⏱️ 21.05.2025): 
pip install metaflow
- [Conda](https://anaconda.org/conda-forge/metaflow) (πŸ“₯ 300K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge metaflow
PyCaret (πŸ₯ˆ35 Β· ⭐ 9.3K) - An open-source, low-code machine learning library in Python. MIT - [GitHub](https://github.com/pycaret/pycaret) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.8K Β· πŸ“₯ 730 Β· πŸ“¦ 7.7K Β· πŸ“‹ 2.3K - 16% open Β· ⏱️ 06.03.2025): 
git clone https://github.com/pycaret/pycaret
- [PyPi](https://pypi.org/project/pycaret) (πŸ“₯ 340K / month Β· πŸ“¦ 31 Β· ⏱️ 28.04.2024): 
pip install pycaret
- [Conda](https://anaconda.org/conda-forge/pycaret) (πŸ“₯ 70K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pycaret
ClearML (πŸ₯ˆ34 Β· ⭐ 6K) - ClearML - Auto-Magical CI/CD to streamline your AI workload... Apache-2 - [GitHub](https://github.com/clearml/clearml) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 680 Β· πŸ“₯ 3.2K Β· πŸ“¦ 1.8K Β· πŸ“‹ 1.1K - 43% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/allegroai/clearml
- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 380K / month Β· πŸ“¦ 58 Β· ⏱️ 22.05.2025): 
pip install clearml
- [Docker Hub](https://hub.docker.com/r/allegroai/trains) (πŸ“₯ 31K Β· ⏱️ 05.10.2020): 
docker pull allegroai/trains
snakemake (πŸ₯ˆ34 Β· ⭐ 2.5K) - This is the development home of the workflow management system.. MIT - [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 370 Β· πŸ”€ 590 Β· πŸ“¦ 2.4K Β· πŸ“‹ 2K - 60% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/snakemake/snakemake
- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 79K / month Β· πŸ“¦ 280 Β· ⏱️ 22.05.2025): 
pip install snakemake
- [Conda](https://anaconda.org/bioconda/snakemake) (πŸ“₯ 1.4M Β· ⏱️ 21.05.2025): 
conda install -c bioconda snakemake
tensorboardX (πŸ₯ˆ33 Β· ⭐ 7.9K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT - [GitHub](https://github.com/lanpa/tensorboardX) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 860 Β· πŸ“₯ 480 Β· πŸ“¦ 58K Β· πŸ“‹ 460 - 17% open Β· ⏱️ 24.04.2025): 
git clone https://github.com/lanpa/tensorboardX
- [PyPi](https://pypi.org/project/tensorboardX) (πŸ“₯ 2.7M / month Β· πŸ“¦ 620 Β· ⏱️ 20.08.2023): 
pip install tensorboardX
- [Conda](https://anaconda.org/conda-forge/tensorboardx) (πŸ“₯ 1.3M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge tensorboardx
kaggle (πŸ₯ˆ33 Β· ⭐ 6.6K) - Official Kaggle API. Apache-2 - [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 1.2K Β· πŸ“¦ 21 Β· πŸ“‹ 520 - 27% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/Kaggle/kaggle-api
- [PyPi](https://pypi.org/project/kaggle) (πŸ“₯ 340K / month Β· πŸ“¦ 240 Β· ⏱️ 08.05.2025): 
pip install kaggle
- [Conda](https://anaconda.org/conda-forge/kaggle) (πŸ“₯ 230K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge kaggle
aim (πŸ₯ˆ33 Β· ⭐ 5.6K) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2 - [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 340 Β· πŸ“¦ 890 Β· πŸ“‹ 1.1K - 36% open Β· ⏱️ 08.05.2025): 
git clone https://github.com/aimhubio/aim
- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 130K / month Β· πŸ“¦ 41 Β· ⏱️ 21.05.2025): 
pip install aim
- [Conda](https://anaconda.org/conda-forge/aim) (πŸ“₯ 120K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge aim
AzureML SDK (πŸ₯ˆ31 Β· ⭐ 4.2K) - Python notebooks with ML and deep learning examples with Azure.. MIT - [GitHub](https://github.com/Azure/MachineLearningNotebooks) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 2.5K Β· πŸ“₯ 660 Β· πŸ“‹ 1.5K - 26% open Β· ⏱️ 14.03.2025): 
git clone https://github.com/Azure/MachineLearningNotebooks
- [PyPi](https://pypi.org/project/azureml-sdk) (πŸ“₯ 340K / month Β· πŸ“¦ 31 Β· ⏱️ 11.04.2025): 
pip install azureml-sdk
sacred (πŸ₯ˆ30 Β· ⭐ 4.3K) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT - [GitHub](https://github.com/IDSIA/sacred) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 380 Β· πŸ“¦ 3.6K Β· πŸ“‹ 560 - 18% open Β· ⏱️ 26.11.2024): 
git clone https://github.com/IDSIA/sacred
- [PyPi](https://pypi.org/project/sacred) (πŸ“₯ 29K / month Β· πŸ“¦ 60 Β· ⏱️ 26.11.2024): 
pip install sacred
- [Conda](https://anaconda.org/conda-forge/sacred) (πŸ“₯ 8.8K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge sacred
Neptune.ai (πŸ₯ˆ29 Β· ⭐ 610) - The experiment tracker for foundation model training. Apache-2 - [GitHub](https://github.com/neptune-ai/neptune-client) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 65 Β· πŸ“¦ 870 Β· πŸ“‹ 260 - 12% open Β· ⏱️ 16.04.2025): 
git clone https://github.com/neptune-ai/neptune-client
- [PyPi](https://pypi.org/project/neptune-client) (πŸ“₯ 490K / month Β· πŸ“¦ 77 Β· ⏱️ 15.04.2025): 
pip install neptune-client
- [Conda](https://anaconda.org/conda-forge/neptune-client) (πŸ“₯ 350K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge neptune-client
ml-metadata (πŸ₯ˆ28 Β· ⭐ 650) - For recording and retrieving metadata associated with ML.. Apache-2 - [GitHub](https://github.com/google/ml-metadata) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 160 Β· πŸ“₯ 3K Β· πŸ“¦ 700 Β· πŸ“‹ 120 - 39% open Β· ⏱️ 03.04.2025): 
git clone https://github.com/google/ml-metadata
- [PyPi](https://pypi.org/project/ml-metadata) (πŸ“₯ 67K / month Β· πŸ“¦ 32 Β· ⏱️ 07.04.2025): 
pip install ml-metadata
VisualDL (πŸ₯‰27 Β· ⭐ 4.8K) - Deep Learning Visualization Toolkit. Apache-2 - [GitHub](https://github.com/PaddlePaddle/VisualDL) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 630 Β· πŸ“₯ 510 Β· πŸ“¦ 2 Β· πŸ“‹ 510 - 30% open Β· ⏱️ 22.01.2025): 
git clone https://github.com/PaddlePaddle/VisualDL
- [PyPi](https://pypi.org/project/visualdl) (πŸ“₯ 130K / month Β· πŸ“¦ 82 Β· ⏱️ 30.10.2024): 
pip install visualdl
livelossplot (πŸ₯‰27 Β· ⭐ 1.3K) - Live training loss plot in Jupyter Notebook for Keras,.. MIT - [GitHub](https://github.com/stared/livelossplot) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 140 Β· πŸ“¦ 1.8K Β· πŸ“‹ 79 - 7% open Β· ⏱️ 03.01.2025): 
git clone https://github.com/stared/livelossplot
- [PyPi](https://pypi.org/project/livelossplot) (πŸ“₯ 16K / month Β· πŸ“¦ 16 Β· ⏱️ 03.01.2025): 
pip install livelossplot
quinn (πŸ₯‰26 Β· ⭐ 670) - pyspark methods to enhance developer productivity. Apache-2 - [GitHub](https://github.com/mrpowers-io/quinn) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 97 Β· πŸ“₯ 57 Β· πŸ“¦ 93 Β· πŸ“‹ 130 - 27% open Β· ⏱️ 06.12.2024): 
git clone https://github.com/MrPowers/quinn
- [PyPi](https://pypi.org/project/quinn) (πŸ“₯ 590K / month Β· πŸ“¦ 7 Β· ⏱️ 13.02.2024): 
pip install quinn
Labml (πŸ₯‰25 Β· ⭐ 2.2K) - Monitor deep learning model training and hardware usage from your mobile.. MIT - [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 140 Β· πŸ“¦ 220 Β· πŸ“‹ 50 - 12% open Β· ⏱️ 10.04.2025): 
git clone https://github.com/labmlai/labml
- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 2.5K / month Β· πŸ“¦ 14 Β· ⏱️ 15.09.2024): 
pip install labml
TNT (πŸ₯‰25 Β· ⭐ 1.7K) - A lightweight library for PyTorch training tools and utilities. BSD-3 - [GitHub](https://github.com/pytorch/tnt) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 280 Β· πŸ“‹ 150 - 56% open Β· ⏱️ 12.05.2025): 
git clone https://github.com/pytorch/tnt
- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 5.9K / month Β· πŸ“¦ 24 Β· ⏱️ 29.07.2018): 
pip install torchnet
gokart (πŸ₯‰25 Β· ⭐ 320) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT - [GitHub](https://github.com/m3dev/gokart) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 62 Β· πŸ“¦ 85 Β· πŸ“‹ 99 - 32% open Β· ⏱️ 29.04.2025): 
git clone https://github.com/m3dev/gokart
- [PyPi](https://pypi.org/project/gokart) (πŸ“₯ 4.7K / month Β· πŸ“¦ 8 Β· ⏱️ 27.02.2025): 
pip install gokart
Guild AI (πŸ₯‰23 Β· ⭐ 880) - Experiment tracking, ML developer tools. Apache-2 - [GitHub](https://github.com/guildai/guildai) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 88 Β· πŸ“₯ 31 Β· πŸ“¦ 100 Β· πŸ“‹ 440 - 50% open Β· ⏱️ 29.04.2025): 
git clone https://github.com/guildai/guildai
- [PyPi](https://pypi.org/project/guildai) (πŸ“₯ 2K / month Β· ⏱️ 11.05.2022): 
pip install guildai
keepsake (πŸ₯‰17 Β· ⭐ 1.7K) - Version control for machine learning. Apache-2 - [GitHub](https://github.com/replicate/keepsake) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 71 Β· πŸ“‹ 190 - 66% open Β· ⏱️ 03.12.2024): 
git clone https://github.com/replicate/keepsake
- [PyPi](https://pypi.org/project/keepsake) (πŸ“₯ 84 / month Β· πŸ“¦ 1 Β· ⏱️ 25.01.2021): 
pip install keepsake
CometML (πŸ₯‰16) - Supercharging Machine Learning. MIT - [GitHub](): 
git clone https://github.com/comet-ml/examples
- [PyPi](https://pypi.org/project/comet_ml) (πŸ“₯ 470K / month Β· πŸ“¦ 94 Β· ⏱️ 14.05.2025): 
pip install comet_ml
- [Conda](https://anaconda.org/anaconda/comet_ml): 
conda install -c anaconda comet_ml
Show 15 hidden projects... - Catalyst (πŸ₯ˆ28 Β· ⭐ 3.4K Β· πŸ’€) - Accelerated deep learning R&D. Apache-2 - knockknock (πŸ₯‰26 Β· ⭐ 2.8K Β· πŸ’€) - Knock Knock: Get notified when your training ends with only two.. MIT - SKLL (πŸ₯‰24 Β· ⭐ 560) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. ❗Unlicensed - hiddenlayer (πŸ₯‰22 Β· ⭐ 1.8K Β· πŸ’€) - Neural network graphs and training metrics for.. MIT - Studio.ml (πŸ₯‰22 Β· ⭐ 380 Β· πŸ’€) - Studio: Simplify and expedite model building process. Apache-2 - lore (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ’€) - Lore makes machine learning approachable for Software Engineers and.. MIT - TensorBoard Logger (πŸ₯‰21 Β· ⭐ 630 Β· πŸ’€) - Log TensorBoard events without touching TensorFlow. MIT - TensorWatch (πŸ₯‰20 Β· ⭐ 3.4K Β· πŸ’€) - Debugging, monitoring and visualization for Python Machine.. MIT - MXBoard (πŸ₯‰20 Β· ⭐ 320 Β· πŸ’€) - Logging MXNet data for visualization in TensorBoard. Apache-2 - datmo (πŸ₯‰18 Β· ⭐ 340 Β· πŸ’€) - Open source production model management tool for data scientists. MIT - chitra (πŸ₯‰17 Β· ⭐ 230 Β· πŸ’€) - A multi-functional library for full-stack Deep Learning... Apache-2 - caliban (πŸ₯‰16 Β· ⭐ 500 Β· πŸ’€) - Research workflows made easy, locally and in the Cloud. Apache-2 - steppy (πŸ₯‰16 Β· ⭐ 130 Β· πŸ’€) - Lightweight, Python library for fast and reproducible experimentation. MIT - ModelChimp (πŸ₯‰13 Β· ⭐ 130 Β· πŸ’€) - Experiment tracking for machine and deep learning projects. BSD-2 - traintool (πŸ₯‰9 Β· ⭐ 12 Β· πŸ’€) - Train off-the-shelf machine learning models in one.. Apache-2


Model Serialization & Deployment

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Libraries to serialize models to files, convert between a variety of model formats, and optimize models for deployment.

onnx (πŸ₯‡43 Β· ⭐ 19K) - Open standard for machine learning interoperability. Apache-2 - [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 3.7K Β· πŸ“₯ 24K Β· πŸ“¦ 46K Β· πŸ“‹ 3K - 10% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/onnx/onnx
- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 7M / month Β· πŸ“¦ 1.3K Β· ⏱️ 12.05.2025): 
pip install onnx
- [Conda](https://anaconda.org/conda-forge/onnx) (πŸ“₯ 1.8M Β· ⏱️ 16.05.2025): 
conda install -c conda-forge onnx
triton (πŸ₯‡43 Β· ⭐ 16K) - Development repository for the Triton language and compiler. MIT - [GitHub](https://github.com/triton-lang/triton) (πŸ‘¨β€πŸ’» 400 Β· πŸ”€ 1.9K Β· πŸ“¦ 68K Β· πŸ“‹ 1.8K - 42% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/openai/triton
- [PyPi](https://pypi.org/project/triton) (πŸ“₯ 24M / month Β· πŸ“¦ 400 Β· ⏱️ 09.04.2025): 
pip install triton
huggingface_hub (πŸ₯ˆ38 Β· ⭐ 2.6K) - The official Python client for the Huggingface Hub. Apache-2 - [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 710 Β· πŸ“‹ 1.2K - 15% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/huggingface/huggingface_hub
- [PyPi](https://pypi.org/project/huggingface_hub) (πŸ“₯ 88M / month Β· πŸ“¦ 3K Β· ⏱️ 19.05.2025): 
pip install huggingface_hub
- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (πŸ“₯ 3.2M Β· ⏱️ 19.05.2025): 
conda install -c conda-forge huggingface_hub
Core ML Tools (πŸ₯ˆ36 Β· ⭐ 4.7K) - Core ML tools contain supporting tools for Core ML model.. BSD-3 - [GitHub](https://github.com/apple/coremltools) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 680 Β· πŸ“₯ 15K Β· πŸ“¦ 4.9K Β· πŸ“‹ 1.5K - 25% open Β· ⏱️ 20.05.2025): 
git clone https://github.com/apple/coremltools
- [PyPi](https://pypi.org/project/coremltools) (πŸ“₯ 510K / month Β· πŸ“¦ 98 Β· ⏱️ 28.04.2025): 
pip install coremltools
- [Conda](https://anaconda.org/conda-forge/coremltools) (πŸ“₯ 97K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge coremltools
BentoML (πŸ₯ˆ35 Β· ⭐ 7.7K) - The easiest way to serve AI apps and models - Build Model Inference.. Apache-2 - [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 840 Β· πŸ“₯ 400 Β· πŸ“¦ 2.7K Β· πŸ“‹ 1.1K - 11% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/bentoml/BentoML
- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 110K / month Β· πŸ“¦ 40 Β· ⏱️ 20.05.2025): 
pip install bentoml
TorchServe (πŸ₯ˆ33 Β· ⭐ 4.4K) - Serve, optimize and scale PyTorch models in production. Apache-2 - [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 880 Β· πŸ“₯ 7.7K Β· πŸ“¦ 870 Β· πŸ“‹ 1.7K - 25% open Β· ⏱️ 17.03.2025): 
git clone https://github.com/pytorch/serve
- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 92K / month Β· πŸ“¦ 24 Β· ⏱️ 30.09.2024): 
pip install torchserve
- [Conda](https://anaconda.org/pytorch/torchserve) (πŸ“₯ 500K Β· ⏱️ 25.03.2025): 
conda install -c pytorch torchserve
- [Docker Hub](https://hub.docker.com/r/pytorch/torchserve) (πŸ“₯ 1.4M Β· ⭐ 32 Β· ⏱️ 30.09.2024): 
docker pull pytorch/torchserve
hls4ml (πŸ₯ˆ30 Β· ⭐ 1.5K) - Machine learning on FPGAs using HLS. Apache-2 - [GitHub](https://github.com/fastmachinelearning/hls4ml) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 440 Β· πŸ“¦ 47 Β· πŸ“‹ 480 - 42% open Β· ⏱️ 05.05.2025): 
git clone https://github.com/fastmachinelearning/hls4ml
- [PyPi](https://pypi.org/project/hls4ml) (πŸ“₯ 2K / month Β· πŸ“¦ 1 Β· ⏱️ 17.03.2025): 
pip install hls4ml
- [Conda](https://anaconda.org/conda-forge/hls4ml) (πŸ“₯ 11K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge hls4ml
Hummingbird (πŸ₯‰24 Β· ⭐ 3.4K Β· πŸ’€) - Hummingbird compiles trained ML models into tensor computation.. MIT - [GitHub](https://github.com/microsoft/hummingbird) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 280 Β· πŸ“₯ 850 Β· πŸ“‹ 330 - 20% open Β· ⏱️ 24.10.2024): 
git clone https://github.com/microsoft/hummingbird
- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 6K / month Β· πŸ“¦ 7 Β· ⏱️ 25.10.2024): 
pip install hummingbird-ml
- [Conda](https://anaconda.org/conda-forge/hummingbird-ml) (πŸ“₯ 59K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge hummingbird-ml
nebullvm (πŸ₯‰21 Β· ⭐ 8.4K Β· πŸ’€) - A collection of libraries to optimise AI model performances. Apache-2 - [GitHub](https://github.com/nebuly-ai/optimate) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 630 Β· πŸ“‹ 200 - 49% open Β· ⏱️ 22.07.2024): 
git clone https://github.com/nebuly-ai/nebullvm
- [PyPi](https://pypi.org/project/nebullvm) (πŸ“₯ 950 / month Β· πŸ“¦ 2 Β· ⏱️ 18.06.2023): 
pip install nebullvm
tfdeploy (πŸ₯‰17 Β· ⭐ 350) - Deploy tensorflow graphs for fast evaluation and export to.. BSD-3 - [GitHub](https://github.com/riga/tfdeploy) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 38 Β· πŸ“‹ 34 - 32% open Β· ⏱️ 04.01.2025): 
git clone https://github.com/riga/tfdeploy
- [PyPi](https://pypi.org/project/tfdeploy) (πŸ“₯ 160 / month Β· ⏱️ 30.03.2017): 
pip install tfdeploy
Show 10 hidden projects... - mmdnn (πŸ₯ˆ25 Β· ⭐ 5.8K Β· πŸ’€) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT - m2cgen (πŸ₯ˆ25 Β· ⭐ 2.9K Β· πŸ’€) - Transform ML models into a native code (Java, C, Python, Go,.. MIT - sklearn-porter (πŸ₯‰24 Β· ⭐ 1.3K Β· πŸ’€) - Transpile trained scikit-learn estimators to C, Java,.. BSD-3 - cortex (πŸ₯‰22 Β· ⭐ 8K Β· πŸ’€) - Production infrastructure for machine learning at scale. Apache-2 - OMLT (πŸ₯‰21 Β· ⭐ 320) - Represent trained machine learning models as Pyomo optimization.. ❗Unlicensed - pytorch2keras (πŸ₯‰19 Β· ⭐ 860 Β· πŸ’€) - PyTorch to Keras model convertor. MIT - Larq Compute Engine (πŸ₯‰19 Β· ⭐ 250) - Highly optimized inference engine for Binarized.. Apache-2 - modelkit (πŸ₯‰18 Β· ⭐ 150 Β· πŸ’€) - Toolkit for developing and maintaining ML models. MIT - backprop (πŸ₯‰15 Β· ⭐ 240 Β· πŸ’€) - Backprop makes it simple to use, finetune, and deploy state-of-.. Apache-2 - ml-ane-transformers (πŸ₯‰13 Β· ⭐ 2.6K Β· πŸ’€) - Reference implementation of the Transformer.. ❗Unlicensed


Model Interpretability

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Libraries to visualize, explain, debug, evaluate, and interpret machine learning models.

shap (πŸ₯‡42 Β· ⭐ 24K) - A game theoretic approach to explain the output of any machine learning model. MIT - [GitHub](https://github.com/shap/shap) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 3.4K Β· πŸ“¦ 33K Β· πŸ“‹ 2.6K - 25% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/slundberg/shap
- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 7.2M / month Β· πŸ“¦ 960 Β· ⏱️ 17.04.2025): 
pip install shap
- [Conda](https://anaconda.org/conda-forge/shap) (πŸ“₯ 6.1M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge shap
arviz (πŸ₯‡36 Β· ⭐ 1.7K) - Exploratory analysis of Bayesian models with Python. Apache-2 - [GitHub](https://github.com/arviz-devs/arviz) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 430 Β· πŸ“₯ 180 Β· πŸ“¦ 11K Β· πŸ“‹ 890 - 21% open Β· ⏱️ 28.04.2025): 
git clone https://github.com/arviz-devs/arviz
- [PyPi](https://pypi.org/project/arviz) (πŸ“₯ 1.7M / month Β· πŸ“¦ 360 Β· ⏱️ 06.03.2025): 
pip install arviz
- [Conda](https://anaconda.org/conda-forge/arviz) (πŸ“₯ 2.4M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge arviz
Netron (πŸ₯‡35 Β· ⭐ 30K) - Visualizer for neural network, deep learning and machine learning.. MIT - [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 2.9K Β· πŸ“₯ 53K Β· πŸ“¦ 13 Β· πŸ“‹ 1.2K - 1% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/lutzroeder/netron
- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 39K / month Β· πŸ“¦ 88 Β· ⏱️ 16.05.2025): 
pip install netron
Captum (πŸ₯‡35 Β· ⭐ 5.2K) - Model interpretability and understanding for PyTorch. BSD-3 - [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 510 Β· πŸ“¦ 3.3K Β· πŸ“‹ 600 - 42% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/pytorch/captum
- [PyPi](https://pypi.org/project/captum) (πŸ“₯ 300K / month Β· πŸ“¦ 170 Β· ⏱️ 27.03.2025): 
pip install captum
- [Conda](https://anaconda.org/conda-forge/captum) (πŸ“₯ 120K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge captum
InterpretML (πŸ₯‡34 Β· ⭐ 6.5K) - Fit interpretable models. Explain blackbox machine learning. MIT - [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 740 Β· πŸ“¦ 900 Β· πŸ“‹ 470 - 22% open Β· ⏱️ 17.04.2025): 
git clone https://github.com/interpretml/interpret
- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 180K / month Β· πŸ“¦ 53 Β· ⏱️ 26.03.2025): 
pip install interpret
shapash (πŸ₯ˆ31 Β· ⭐ 2.9K) - Shapash: User-friendly Explainability and Interpretability to.. Apache-2 - [GitHub](https://github.com/MAIF/shapash) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 340 Β· πŸ“¦ 190 Β· πŸ“‹ 240 - 18% open Β· ⏱️ 16.05.2025): 
git clone https://github.com/MAIF/shapash
- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 9.9K / month Β· πŸ“¦ 4 Β· ⏱️ 20.03.2025): 
pip install shapash
evaluate (πŸ₯ˆ31 Β· ⭐ 2.2K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2 - [GitHub](https://github.com/huggingface/evaluate) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 270 Β· πŸ“¦ 22K Β· πŸ“‹ 370 - 61% open Β· ⏱️ 10.01.2025): 
git clone https://github.com/huggingface/evaluate
- [PyPi](https://pypi.org/project/evaluate) (πŸ“₯ 3M / month Β· πŸ“¦ 400 Β· ⏱️ 11.09.2024): 
pip install evaluate
explainerdashboard (πŸ₯ˆ30 Β· ⭐ 2.4K) - Quickly build Explainable AI dashboards that show the inner.. MIT - [GitHub](https://github.com/oegedijk/explainerdashboard) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 340 Β· πŸ“¦ 630 Β· πŸ“‹ 240 - 15% open Β· ⏱️ 29.12.2024): 
git clone https://github.com/oegedijk/explainerdashboard
- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 51K / month Β· πŸ“¦ 13 Β· ⏱️ 29.12.2024): 
pip install explainerdashboard
- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (πŸ“₯ 66K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge explainerdashboard
fairlearn (πŸ₯ˆ30 Β· ⭐ 2.1K) - A Python package to assess and improve fairness of machine.. MIT - [GitHub](https://github.com/fairlearn/fairlearn) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 450 Β· πŸ“¦ 3 Β· πŸ“‹ 540 - 28% open Β· ⏱️ 05.05.2025): 
git clone https://github.com/fairlearn/fairlearn
- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 130K / month Β· πŸ“¦ 63 Β· ⏱️ 11.12.2024): 
pip install fairlearn
- [Conda](https://anaconda.org/conda-forge/fairlearn) (πŸ“₯ 46K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge fairlearn
dtreeviz (πŸ₯ˆ28 Β· ⭐ 3.1K) - A python library for decision tree visualization and model interpretation. MIT - [GitHub](https://github.com/parrt/dtreeviz) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 340 Β· πŸ“¦ 1.6K Β· πŸ“‹ 210 - 34% open Β· ⏱️ 06.03.2025): 
git clone https://github.com/parrt/dtreeviz
- [PyPi](https://pypi.org/project/dtreeviz) (πŸ“₯ 93K / month Β· πŸ“¦ 53 Β· ⏱️ 07.07.2022): 
pip install dtreeviz
- [Conda](https://anaconda.org/conda-forge/dtreeviz) (πŸ“₯ 110K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge dtreeviz
DoWhy (πŸ₯ˆ27 Β· ⭐ 7.5K) - DoWhy is a Python library for causal inference that supports explicit.. MIT - [GitHub](https://github.com/py-why/dowhy) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 940 Β· πŸ“₯ 43 Β· πŸ“¦ 610 Β· πŸ“‹ 500 - 27% open Β· ⏱️ 19.05.2025): 
git clone https://github.com/py-why/dowhy
- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 53K / month Β· πŸ“¦ 18 Β· ⏱️ 24.11.2024): 
pip install dowhy
- [Conda](https://anaconda.org/conda-forge/dowhy) (πŸ“₯ 44K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge dowhy
Fairness 360 (πŸ₯ˆ27 Β· ⭐ 2.6K) - A comprehensive set of fairness metrics for datasets and.. Apache-2 - [GitHub](https://github.com/Trusted-AI/AIF360) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 850 Β· πŸ“¦ 680 Β· πŸ“‹ 300 - 65% open Β· ⏱️ 10.12.2024): 
git clone https://github.com/Trusted-AI/AIF360
- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 23K / month Β· πŸ“¦ 32 Β· ⏱️ 08.04.2024): 
pip install aif360
- [Conda](https://anaconda.org/conda-forge/aif360) (πŸ“₯ 23K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge aif360
Model Analysis (πŸ₯ˆ26 Β· ⭐ 1.3K) - Model analysis tools for TensorFlow. Apache-2 - [GitHub](https://github.com/tensorflow/model-analysis) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 280 Β· πŸ“‹ 97 - 39% open Β· ⏱️ 28.04.2025): 
git clone https://github.com/tensorflow/model-analysis
- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 69K / month Β· πŸ“¦ 19 Β· ⏱️ 05.12.2024): 
pip install tensorflow-model-analysis
LIT (πŸ₯‰25 Β· ⭐ 3.6K Β· πŸ“‰) - The Learning Interpretability Tool: Interactively analyze ML models.. Apache-2 - [GitHub](https://github.com/PAIR-code/lit) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 360 Β· πŸ“‹ 210 - 57% open Β· ⏱️ 20.12.2024): 
git clone https://github.com/PAIR-code/lit
- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 4.9K / month Β· πŸ“¦ 3 Β· ⏱️ 20.12.2024): 
pip install lit-nlp
- [Conda](https://anaconda.org/conda-forge/lit-nlp) (πŸ“₯ 120K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge lit-nlp
responsible-ai-widgets (πŸ₯‰25 Β· ⭐ 1.5K) - Responsible AI Toolbox is a suite of tools providing.. MIT - [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 400 Β· πŸ“‹ 320 - 26% open Β· ⏱️ 07.02.2025): 
git clone https://github.com/microsoft/responsible-ai-toolbox
- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 8.3K / month Β· πŸ“¦ 6 Β· ⏱️ 08.07.2024): 
pip install raiwidgets
imodels (πŸ₯‰24 Β· ⭐ 1.5K) - Interpretable ML package for concise, transparent, and accurate.. MIT - [GitHub](https://github.com/csinva/imodels) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 120 Β· πŸ“¦ 120 Β· πŸ“‹ 95 - 38% open Β· ⏱️ 05.03.2025): 
git clone https://github.com/csinva/imodels
- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 41K / month Β· πŸ“¦ 9 Β· ⏱️ 15.10.2024): 
pip install imodels
keract (πŸ₯‰24 Β· ⭐ 1.1K) - Layers Outputs and Gradients in Keras. Made easy. MIT - [GitHub](https://github.com/philipperemy/keract) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 190 Β· πŸ“¦ 250 Β· πŸ“‹ 89 - 3% open Β· ⏱️ 07.04.2025): 
git clone https://github.com/philipperemy/keract
- [PyPi](https://pypi.org/project/keract) (πŸ“₯ 3.8K / month Β· πŸ“¦ 7 Β· ⏱️ 07.04.2025): 
pip install keract
aequitas (πŸ₯‰24 Β· ⭐ 720) - Bias Auditing & Fair ML Toolkit. MIT - [GitHub](https://github.com/dssg/aequitas) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 120 Β· πŸ“¦ 190 Β· πŸ“‹ 99 - 51% open Β· ⏱️ 25.03.2025): 
git clone https://github.com/dssg/aequitas
- [PyPi](https://pypi.org/project/aequitas) (πŸ“₯ 18K / month Β· πŸ“¦ 8 Β· ⏱️ 30.01.2024): 
pip install aequitas
ecco (πŸ₯‰22 Β· ⭐ 2K Β· πŸ’€) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3 - [GitHub](https://github.com/jalammar/ecco) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 170 Β· πŸ“₯ 140 Β· πŸ“¦ 33 Β· πŸ“‹ 64 - 51% open Β· ⏱️ 15.08.2024): 
git clone https://github.com/jalammar/ecco
- [PyPi](https://pypi.org/project/ecco) (πŸ“₯ 660 / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2022): 
pip install ecco
- [Conda](https://anaconda.org/conda-forge/ecco) (πŸ“₯ 6.8K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge ecco
Explainability 360 (πŸ₯‰22 Β· ⭐ 1.7K) - Interpretability and explainability of data and.. Apache-2 - [GitHub](https://github.com/Trusted-AI/AIX360) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 310 Β· πŸ“¦ 160 Β· πŸ“‹ 86 - 62% open Β· ⏱️ 26.02.2025): 
git clone https://github.com/Trusted-AI/AIX360
- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 910 / month Β· πŸ“¦ 1 Β· ⏱️ 31.07.2023): 
pip install aix360
random-forest-importances (πŸ₯‰22 Β· ⭐ 610) - Code to compute permutation and drop-column.. MIT - [GitHub](https://github.com/parrt/random-forest-importances) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 130 Β· πŸ“¦ 180 Β· πŸ“‹ 39 - 20% open Β· ⏱️ 24.03.2025): 
git clone https://github.com/parrt/random-forest-importances
- [PyPi](https://pypi.org/project/rfpimp) (πŸ“₯ 14K / month Β· πŸ“¦ 5 Β· ⏱️ 28.01.2021): 
pip install rfpimp
DiCE (πŸ₯‰20 Β· ⭐ 1.4K) - Generate Diverse Counterfactual Explanations for any machine.. MIT - [GitHub](https://github.com/interpretml/DiCE) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 200 Β· πŸ“‹ 180 - 48% open Β· ⏱️ 22.11.2024): 
git clone https://github.com/interpretml/DiCE
- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 32K / month Β· πŸ“¦ 6 Β· ⏱️ 27.10.2023): 
pip install dice-ml
LOFO (πŸ₯‰20 Β· ⭐ 840) - Leave One Feature Out Importance. MIT - [GitHub](https://github.com/aerdem4/lofo-importance) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 87 Β· πŸ“¦ 40 Β· πŸ“‹ 30 - 13% open Β· ⏱️ 14.02.2025): 
git clone https://github.com/aerdem4/lofo-importance
- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 1.9K / month Β· πŸ“¦ 5 Β· ⏱️ 14.02.2025): 
pip install lofo-importance
fairness-indicators (πŸ₯‰20 Β· ⭐ 350) - Tensorflows Fairness Evaluation and Visualization.. Apache-2 - [GitHub](https://github.com/tensorflow/fairness-indicators) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 85 Β· πŸ“‹ 39 - 74% open Β· ⏱️ 22.01.2025): 
git clone https://github.com/tensorflow/fairness-indicators
- [PyPi](https://pypi.org/project/fairness-indicators) (πŸ“₯ 2.2K / month Β· ⏱️ 22.01.2025): 
pip install fairness-indicators
ExplainX.ai (πŸ₯‰15 Β· ⭐ 440 Β· πŸ’€) - Explainable AI framework for data scientists. Explain & debug any.. MIT - [GitHub](https://github.com/explainX/explainx) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 55 Β· πŸ“₯ 20 Β· πŸ“‹ 39 - 25% open Β· ⏱️ 21.08.2024): 
git clone https://github.com/explainX/explainx
- [PyPi](https://pypi.org/project/explainx) (πŸ“₯ 560 / month Β· ⏱️ 04.02.2021): 
pip install explainx
Show 30 hidden projects... - Lime (πŸ₯‡33 Β· ⭐ 12K Β· πŸ’€) - Lime: Explaining the predictions of any machine learning classifier. BSD-2 - pyLDAvis (πŸ₯ˆ30 Β· ⭐ 1.8K Β· πŸ’€) - Python library for interactive topic model visualization... BSD-3 - yellowbrick (πŸ₯ˆ28 Β· ⭐ 4.3K Β· πŸ’€) - Visual analysis and diagnostic tools to facilitate.. Apache-2 - Deep Checks (πŸ₯ˆ28 Β· ⭐ 3.8K) - Deepchecks: Tests for Continuous Validation of ML Models &.. ❗️AGPL-3.0 - eli5 (πŸ₯ˆ28 Β· ⭐ 2.8K Β· πŸ’€) - A library for debugging/inspecting machine learning classifiers and.. MIT - scikit-plot (πŸ₯ˆ28 Β· ⭐ 2.4K Β· πŸ’€) - An intuitive library to add plotting functionality to.. MIT - DALEX (πŸ₯ˆ28 Β· ⭐ 1.4K) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0 - Alibi (πŸ₯ˆ26 Β· ⭐ 2.5K) - Algorithms for explaining machine learning models. ❗️Intel - iNNvestigate (πŸ₯ˆ26 Β· ⭐ 1.3K Β· πŸ’€) - A toolbox to iNNvestigate neural networks predictions!. BSD-2 - Lucid (πŸ₯‰25 Β· ⭐ 4.7K Β· πŸ’€) - A collection of infrastructure and tools for research in.. Apache-2 - checklist (πŸ₯‰25 Β· ⭐ 2K Β· πŸ’€) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList. MIT - keras-vis (πŸ₯‰24 Β· ⭐ 3K Β· πŸ’€) - Neural network visualization toolkit for keras. MIT - CausalNex (πŸ₯‰24 Β· ⭐ 2.3K Β· πŸ’€) - A Python library that helps data scientists to infer.. Apache-2 - What-If Tool (πŸ₯‰23 Β· ⭐ 950 Β· πŸ’€) - Source code/webpage/demos for the What-If Tool. Apache-2 - TreeInterpreter (πŸ₯‰23 Β· ⭐ 760 Β· πŸ’€) - Package for interpreting scikit-learns decision tree.. BSD-3 - tf-explain (πŸ₯‰22 Β· ⭐ 1K Β· πŸ’€) - Interpretability Methods for tf.keras models with Tensorflow.. MIT - deeplift (πŸ₯‰21 Β· ⭐ 860 Β· πŸ’€) - Public facing deeplift repo. MIT - Quantus (πŸ₯‰21 Β· ⭐ 600) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. ❗️GPL-3.0 - tcav (πŸ₯‰20 Β· ⭐ 640 Β· πŸ’€) - Code for the TCAV ML interpretability project. Apache-2 - XAI (πŸ₯‰19 Β· ⭐ 1.2K Β· πŸ’€) - XAI - An eXplainability toolbox for machine learning. MIT - model-card-toolkit (πŸ₯‰18 Β· ⭐ 430 Β· πŸ’€) - A toolkit that streamlines and automates the.. Apache-2 - sklearn-evaluation (πŸ₯‰17 Β· ⭐ 460 Β· πŸ’€) - Machine learning model evaluation made easy: plots,.. MIT - FlashTorch (πŸ₯‰16 Β· ⭐ 740 Β· πŸ’€) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT - Skater (πŸ₯‰15 Β· ⭐ 1.1K) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0 - Anchor (πŸ₯‰15 Β· ⭐ 800 Β· πŸ’€) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 - effector (πŸ₯‰15 Β· ⭐ 110) - Effector - a Python package for global and regional effect methods. MIT - interpret-text (πŸ₯‰14 Β· ⭐ 420 Β· πŸ’€) - A library that incorporates state-of-the-art explainers.. MIT - bias-detector (πŸ₯‰13 Β· ⭐ 43 Β· πŸ’€) - Bias Detector is a python package for detecting bias in machine.. MIT - Attribution Priors (πŸ₯‰12 Β· ⭐ 120 Β· πŸ’€) - Tools for training explainable models using.. MIT - contextual-ai (πŸ₯‰12 Β· ⭐ 87 Β· πŸ’€) - Contextual AI adds explainability to different stages of.. Apache-2


Vector Similarity Search (ANN)

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Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarity Search.

πŸ”— ANN Benchmarks ( ⭐ 5.3K) - Benchmarks of approximate nearest neighbor libraries in Python.

Milvus (πŸ₯‡42 Β· ⭐ 35K Β· πŸ“ˆ) - Milvus is a high-performance, cloud-native vector database built.. Apache-2 - [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 3.2K Β· πŸ“₯ 360K Β· πŸ“‹ 14K - 5% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/milvus-io/milvus
- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 1.8M / month Β· πŸ“¦ 270 Β· ⏱️ 19.05.2025): 
pip install pymilvus
- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 69M Β· ⭐ 81 Β· ⏱️ 22.05.2025): 
docker pull milvusdb/milvus
Faiss (πŸ₯‡41 Β· ⭐ 35K) - A library for efficient similarity search and clustering of dense vectors. MIT - [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 3.8K Β· πŸ“¦ 4.8K Β· πŸ“‹ 2.7K - 9% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/facebookresearch/faiss
- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 1.8M / month Β· πŸ“¦ 270 Β· ⏱️ 19.05.2025): 
pip install pymilvus
- [Conda](https://anaconda.org/conda-forge/faiss) (πŸ“₯ 2.6M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge faiss
Annoy (πŸ₯ˆ35 Β· ⭐ 14K Β· πŸ’€) - Approximate Nearest Neighbors in C++/Python optimized for memory.. Apache-2 - [GitHub](https://github.com/spotify/annoy) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 1.2K Β· πŸ“¦ 5.1K Β· πŸ“‹ 410 - 15% open Β· ⏱️ 29.07.2024): 
git clone https://github.com/spotify/annoy
- [PyPi](https://pypi.org/project/annoy) (πŸ“₯ 700K / month Β· πŸ“¦ 200 Β· ⏱️ 14.06.2023): 
pip install annoy
- [Conda](https://anaconda.org/conda-forge/python-annoy) (πŸ“₯ 690K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge python-annoy
hnswlib (πŸ₯ˆ32 Β· ⭐ 4.7K Β· πŸ’€) - Header-only C++/python library for fast approximate nearest.. Apache-2 - [GitHub](https://github.com/nmslib/hnswlib) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 680 Β· πŸ“¦ 8.1K Β· πŸ“‹ 420 - 60% open Β· ⏱️ 17.06.2024): 
git clone https://github.com/nmslib/hnswlib
- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 470K / month Β· πŸ“¦ 130 Β· ⏱️ 03.12.2023): 
pip install hnswlib
- [Conda](https://anaconda.org/conda-forge/hnswlib) (πŸ“₯ 360K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge hnswlib
NMSLIB (πŸ₯ˆ31 Β· ⭐ 3.5K Β· πŸ’€) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2 - [GitHub](https://github.com/nmslib/nmslib) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 460 Β· πŸ“¦ 1.4K Β· πŸ“‹ 440 - 21% open Β· ⏱️ 21.09.2024): 
git clone https://github.com/nmslib/nmslib
- [PyPi](https://pypi.org/project/nmslib) (πŸ“₯ 390K / month Β· πŸ“¦ 63 Β· ⏱️ 03.02.2021): 
pip install nmslib
- [Conda](https://anaconda.org/conda-forge/nmslib) (πŸ“₯ 200K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge nmslib
USearch (πŸ₯ˆ31 Β· ⭐ 2.7K) - Fast Open-Source Search & Clustering engine for Vectors & Strings in.. Apache-2 - [GitHub](https://github.com/unum-cloud/usearch) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 180 Β· πŸ“₯ 69K Β· πŸ“¦ 180 Β· πŸ“‹ 210 - 42% open Β· ⏱️ 16.04.2025): 
git clone https://github.com/unum-cloud/usearch
- [PyPi](https://pypi.org/project/usearch) (πŸ“₯ 130K / month Β· πŸ“¦ 35 Β· ⏱️ 16.04.2025): 
pip install usearch
- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 7.1K / month Β· πŸ“¦ 15 Β· ⏱️ 23.01.2025): 
npm install usearch
- [Docker Hub](https://hub.docker.com/r/unum/usearch) (πŸ“₯ 200 Β· ⭐ 1 Β· ⏱️ 16.04.2025): 
docker pull unum/usearch
PyNNDescent (πŸ₯‰28 Β· ⭐ 920) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2 - [GitHub](https://github.com/lmcinnes/pynndescent) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 110 Β· πŸ“¦ 12K Β· πŸ“‹ 140 - 52% open Β· ⏱️ 10.11.2024): 
git clone https://github.com/lmcinnes/pynndescent
- [PyPi](https://pypi.org/project/pynndescent) (πŸ“₯ 1.5M / month Β· πŸ“¦ 160 Β· ⏱️ 17.06.2024): 
pip install pynndescent
- [Conda](https://anaconda.org/conda-forge/pynndescent) (πŸ“₯ 2.3M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pynndescent
NGT (πŸ₯‰24 Β· ⭐ 1.3K) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2 - [GitHub](https://github.com/yahoojapan/NGT) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 120 Β· πŸ“‹ 150 - 16% open Β· ⏱️ 30.04.2025): 
git clone https://github.com/yahoojapan/NGT
- [PyPi](https://pypi.org/project/ngt) (πŸ“₯ 2.2K / month Β· πŸ“¦ 12 Β· ⏱️ 26.02.2025): 
pip install ngt
Show 4 hidden projects... - NearPy (πŸ₯‰21 Β· ⭐ 770 Β· πŸ’€) - Python framework for fast (approximated) nearest neighbour search in.. MIT - N2 (πŸ₯‰21 Β· ⭐ 580 Β· πŸ’€) - TOROS N2 - lightweight approximate Nearest Neighbor library which runs.. Apache-2 - Magnitude (πŸ₯‰20 Β· ⭐ 1.6K Β· πŸ’€) - A fast, efficient universal vector embedding utility package. MIT - PySparNN (πŸ₯‰11 Β· ⭐ 920 Β· πŸ’€) - Approximate Nearest Neighbor Search for Sparse Data in Python!. BSD-3


Probabilistics & Statistics

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Libraries providing capabilities for probabilistic programming/reasoning, bayesian inference, gaussian processes, or statistics.

PyMC3 (πŸ₯‡41 Β· ⭐ 9K) - Bayesian Modeling and Probabilistic Programming in Python. Apache-2 - [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 520 Β· πŸ”€ 2.1K Β· πŸ“₯ 2K Β· πŸ“¦ 7.2K Β· πŸ“‹ 3.5K - 10% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/pymc-devs/pymc
- [PyPi](https://pypi.org/project/pymc3) (πŸ“₯ 270K / month Β· πŸ“¦ 190 Β· ⏱️ 31.05.2024): 
pip install pymc3
- [Conda](https://anaconda.org/conda-forge/pymc3) (πŸ“₯ 670K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pymc3
tensorflow-probability (πŸ₯‡36 Β· ⭐ 4.3K) - Probabilistic reasoning and statistical analysis in.. Apache-2 - [GitHub](https://github.com/tensorflow/probability) (πŸ‘¨β€πŸ’» 500 Β· πŸ”€ 1.1K Β· πŸ“¦ 4 Β· πŸ“‹ 1.5K - 48% open Β· ⏱️ 14.05.2025): 
git clone https://github.com/tensorflow/probability
- [PyPi](https://pypi.org/project/tensorflow-probability) (πŸ“₯ 930K / month Β· πŸ“¦ 620 Β· ⏱️ 08.11.2024): 
pip install tensorflow-probability
- [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (πŸ“₯ 180K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge tensorflow-probability
Pyro (πŸ₯‡34 Β· ⭐ 8.8K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2 - [GitHub](https://github.com/pyro-ppl/pyro) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 990 Β· πŸ“‹ 1.1K - 23% open Β· ⏱️ 24.04.2025): 
git clone https://github.com/pyro-ppl/pyro
- [PyPi](https://pypi.org/project/pyro-ppl) (πŸ“₯ 460K / month Β· πŸ“¦ 190 Β· ⏱️ 02.06.2024): 
pip install pyro-ppl
- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (πŸ“₯ 240K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pyro-ppl
pgmpy (πŸ₯‡34 Β· ⭐ 2.9K) - Python Library for Causal and Probabilistic Modeling using Bayesian Networks. MIT - [GitHub](https://github.com/pgmpy/pgmpy) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 750 Β· πŸ“₯ 610 Β· πŸ“¦ 1.6K Β· πŸ“‹ 1K - 29% open Β· ⏱️ 15.05.2025): 
git clone https://github.com/pgmpy/pgmpy
- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 180K / month Β· πŸ“¦ 72 Β· ⏱️ 31.03.2025): 
pip install pgmpy
GPyTorch (πŸ₯ˆ31 Β· ⭐ 3.7K) - A highly efficient implementation of Gaussian Processes in PyTorch. MIT - [GitHub](https://github.com/cornellius-gp/gpytorch) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 560 Β· πŸ“¦ 2.9K Β· πŸ“‹ 1.4K - 27% open Β· ⏱️ 07.02.2025): 
git clone https://github.com/cornellius-gp/gpytorch
- [PyPi](https://pypi.org/project/gpytorch) (πŸ“₯ 390K / month Β· πŸ“¦ 190 Β· ⏱️ 29.01.2025): 
pip install gpytorch
- [Conda](https://anaconda.org/conda-forge/gpytorch) (πŸ“₯ 210K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge gpytorch
patsy (πŸ₯ˆ31 Β· ⭐ 970) - Describing statistical models in Python using symbolic formulas. BSD-2 - [GitHub](https://github.com/pydata/patsy) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 100 Β· πŸ“¦ 120K Β· πŸ“‹ 160 - 46% open Β· ⏱️ 24.02.2025): 
git clone https://github.com/pydata/patsy
- [PyPi](https://pypi.org/project/patsy) (πŸ“₯ 16M / month Β· πŸ“¦ 530 Β· ⏱️ 12.11.2024): 
pip install patsy
- [Conda](https://anaconda.org/conda-forge/patsy) (πŸ“₯ 16M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge patsy
hmmlearn (πŸ₯ˆ30 Β· ⭐ 3.2K Β· πŸ’€) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3 - [GitHub](https://github.com/hmmlearn/hmmlearn) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 740 Β· πŸ“¦ 3.5K Β· πŸ“‹ 450 - 15% open Β· ⏱️ 31.10.2024): 
git clone https://github.com/hmmlearn/hmmlearn
- [PyPi](https://pypi.org/project/hmmlearn) (πŸ“₯ 150K / month Β· πŸ“¦ 92 Β· ⏱️ 31.10.2024): 
pip install hmmlearn
- [Conda](https://anaconda.org/conda-forge/hmmlearn) (πŸ“₯ 380K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge hmmlearn
GPflow (πŸ₯ˆ29 Β· ⭐ 1.9K) - Gaussian processes in TensorFlow. Apache-2 - [GitHub](https://github.com/GPflow/GPflow) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 440 Β· πŸ“¦ 760 Β· πŸ“‹ 840 - 18% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/GPflow/GPflow
- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 71K / month Β· πŸ“¦ 35 Β· ⏱️ 17.06.2024): 
pip install gpflow
- [Conda](https://anaconda.org/conda-forge/gpflow) (πŸ“₯ 45K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge gpflow
emcee (πŸ₯ˆ29 Β· ⭐ 1.5K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT - [GitHub](https://github.com/dfm/emcee) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 430 Β· πŸ“¦ 3K Β· πŸ“‹ 300 - 19% open Β· ⏱️ 16.03.2025): 
git clone https://github.com/dfm/emcee
- [PyPi](https://pypi.org/project/emcee) (πŸ“₯ 150K / month Β· πŸ“¦ 440 Β· ⏱️ 19.04.2024): 
pip install emcee
- [Conda](https://anaconda.org/conda-forge/emcee) (πŸ“₯ 410K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge emcee
bambi (πŸ₯ˆ29 Β· ⭐ 1.2K) - BAyesian Model-Building Interface (Bambi) in Python. MIT - [GitHub](https://github.com/bambinos/bambi) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 130 Β· πŸ“¦ 200 Β· πŸ“‹ 440 - 20% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/bambinos/bambi
- [PyPi](https://pypi.org/project/bambi) (πŸ“₯ 34K / month Β· πŸ“¦ 14 Β· ⏱️ 21.12.2024): 
pip install bambi
- [Conda](https://anaconda.org/conda-forge/bambi) (πŸ“₯ 49K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge bambi
pomegranate (πŸ₯‰28 Β· ⭐ 3.4K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT - [GitHub](https://github.com/jmschrei/pomegranate) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 590 Β· πŸ“‹ 790 - 3% open Β· ⏱️ 07.02.2025): 
git clone https://github.com/jmschrei/pomegranate
- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 22K / month Β· πŸ“¦ 67 Β· ⏱️ 07.02.2025): 
pip install pomegranate
- [Conda](https://anaconda.org/conda-forge/pomegranate) (πŸ“₯ 210K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pomegranate
SALib (πŸ₯‰28 Β· ⭐ 920) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT - [GitHub](https://github.com/SALib/SALib) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 240 Β· πŸ“¦ 1.5K Β· πŸ“‹ 340 - 15% open Β· ⏱️ 18.04.2025): 
git clone https://github.com/SALib/SALib
- [PyPi](https://pypi.org/project/salib) (πŸ“₯ 250K / month Β· πŸ“¦ 130 Β· ⏱️ 19.08.2024): 
pip install salib
- [Conda](https://anaconda.org/conda-forge/salib) (πŸ“₯ 220K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge salib
PyStan (πŸ₯‰28 Β· ⭐ 350 Β· πŸ’€) - PyStan, a Python interface to Stan, a platform for statistical.. ISC - [GitHub](https://github.com/stan-dev/pystan) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 61 Β· πŸ“¦ 10K Β· πŸ“‹ 200 - 6% open Β· ⏱️ 03.07.2024): 
git clone https://github.com/stan-dev/pystan
- [PyPi](https://pypi.org/project/pystan) (πŸ“₯ 670K / month Β· πŸ“¦ 160 Β· ⏱️ 03.07.2024): 
pip install pystan
- [Conda](https://anaconda.org/conda-forge/pystan) (πŸ“₯ 3M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pystan
scikit-posthocs (πŸ₯‰27 Β· ⭐ 370) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT - [GitHub](https://github.com/maximtrp/scikit-posthocs) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 40 Β· πŸ“₯ 66 Β· πŸ“¦ 1.1K Β· πŸ“‹ 72 - 6% open Β· ⏱️ 16.04.2025): 
git clone https://github.com/maximtrp/scikit-posthocs
- [PyPi](https://pypi.org/project/scikit-posthocs) (πŸ“₯ 94K / month Β· πŸ“¦ 73 Β· ⏱️ 29.03.2025): 
pip install scikit-posthocs
- [Conda](https://anaconda.org/conda-forge/scikit-posthocs) (πŸ“₯ 1M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge scikit-posthocs
Orbit (πŸ₯‰24 Β· ⭐ 2K Β· πŸ’€) - A Python package for Bayesian forecasting with object-oriented.. Apache-2 - [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 140 Β· πŸ“¦ 72 Β· πŸ“‹ 400 - 12% open Β· ⏱️ 10.07.2024): 
git clone https://github.com/uber/orbit
- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 20K / month Β· πŸ“¦ 1 Β· ⏱️ 01.04.2024): 
pip install orbit-ml
TorchUncertainty (πŸ₯‰23 Β· ⭐ 390) - Open-source framework for uncertainty and deep.. Apache-2 - [GitHub](https://github.com/ENSTA-U2IS-AI/torch-uncertainty) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 32 Β· πŸ“‹ 55 - 18% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/ENSTA-U2IS-AI/torch-uncertainty
- [PyPi](https://pypi.org/project/torch-uncertainty) (πŸ“₯ 540 / month Β· πŸ“¦ 4 Β· ⏱️ 21.05.2025): 
pip install torch-uncertainty
pandas-ta (πŸ₯‰22 Β· ⭐ 5.5K) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT - [GitHub](https://github.com/twopirllc/pandas-ta) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 1.1K): 
git clone https://github.com/twopirllc/pandas-ta
- [PyPi](https://pypi.org/project/pandas-ta) (πŸ“₯ 200K / month Β· πŸ“¦ 140 Β· ⏱️ 28.07.2021): 
pip install pandas-ta
- [Conda](https://anaconda.org/conda-forge/pandas-ta) (πŸ“₯ 27K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pandas-ta
Baal (πŸ₯‰22 Β· ⭐ 900 Β· πŸ’€) - Bayesian active learning library for research and industrial usecases. Apache-2 - [GitHub](https://github.com/baal-org/baal) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 87 Β· πŸ“¦ 66 Β· πŸ“‹ 110 - 17% open Β· ⏱️ 27.06.2024): 
git clone https://github.com/baal-org/baal
- [PyPi](https://pypi.org/project/baal) (πŸ“₯ 1.2K / month Β· πŸ“¦ 2 Β· ⏱️ 11.06.2024): 
pip install baal
- [Conda](https://anaconda.org/conda-forge/baal) (πŸ“₯ 13K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge baal
pyhsmm (πŸ₯‰21 Β· ⭐ 560) - Bayesian inference in HSMMs and HMMs. MIT - [GitHub](https://github.com/mattjj/pyhsmm) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 170 Β· πŸ“¦ 35 Β· πŸ“‹ 100 - 39% open Β· ⏱️ 25.01.2025): 
git clone https://github.com/mattjj/pyhsmm
- [PyPi](https://pypi.org/project/pyhsmm) (πŸ“₯ 160 / month Β· πŸ“¦ 1 Β· ⏱️ 10.05.2017): 
pip install pyhsmm
Show 5 hidden projects... - filterpy (πŸ₯ˆ32 Β· ⭐ 3.6K Β· πŸ’€) - Python Kalman filtering and optimal estimation library. Implements.. MIT - pingouin (πŸ₯ˆ30 Β· ⭐ 1.8K) - Statistical package in Python based on Pandas. ❗️GPL-3.0 - Edward (πŸ₯‰27 Β· ⭐ 4.8K Β· πŸ’€) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 - Funsor (πŸ₯‰20 Β· ⭐ 240 Β· πŸ’€) - Functional tensors for probabilistic programming. Apache-2 - ZhuSuan (πŸ₯‰15 Β· ⭐ 2.2K Β· πŸ’€) - A probabilistic programming library for Bayesian deep learning,.. MIT


Adversarial Robustness

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Libraries for testing the robustness of machine learning models against attacks with adversarial/malicious examples.

ART (πŸ₯‡33 Β· ⭐ 5.3K Β· πŸ“ˆ) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT - [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.2K Β· πŸ“¦ 740 Β· πŸ“‹ 910 - 2% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox
- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (πŸ“₯ 28K / month Β· πŸ“¦ 20 Β· ⏱️ 22.01.2025): 
pip install adversarial-robustness-toolbox
- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (πŸ“₯ 72K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge adversarial-robustness-toolbox
TextAttack (πŸ₯ˆ28 Β· ⭐ 3.2K Β· πŸ’€) - TextAttack is a Python framework for adversarial attacks, data.. MIT - [GitHub](https://github.com/QData/TextAttack) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 400 Β· πŸ“¦ 410 Β· πŸ“‹ 290 - 23% open Β· ⏱️ 25.07.2024): 
git clone https://github.com/QData/TextAttack
- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 6.6K / month Β· πŸ“¦ 11 Β· ⏱️ 11.03.2024): 
pip install textattack
- [Conda](https://anaconda.org/conda-forge/textattack) (πŸ“₯ 10K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge textattack
Show 7 hidden projects... - CleverHans (πŸ₯ˆ30 Β· ⭐ 6.3K Β· πŸ’€) - An adversarial example library for constructing attacks,.. MIT - Foolbox (πŸ₯ˆ28 Β· ⭐ 2.9K Β· πŸ’€) - A Python toolbox to create adversarial examples that fool neural.. MIT - advertorch (πŸ₯‰24 Β· ⭐ 1.3K Β· πŸ’€) - A Toolbox for Adversarial Robustness Research. ❗️GPL-3.0 - robustness (πŸ₯‰20 Β· ⭐ 940 Β· πŸ’€) - A library for experimenting with, training and evaluating neural.. MIT - AdvBox (πŸ₯‰19 Β· ⭐ 1.4K Β· πŸ’€) - Advbox is a toolbox to generate adversarial examples that fool.. Apache-2 - textflint (πŸ₯‰17 Β· ⭐ 640 Β· πŸ’€) - Unified Multilingual Robustness Evaluation Toolkit for.. ❗️GPL-3.0 - Adversary (πŸ₯‰16 Β· ⭐ 400 Β· πŸ’€) - Tool to generate adversarial text examples and test machine.. MIT


GPU & Accelerator Utilities

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Libraries that require and make use of CUDA/GPU or other accelerator hardware capabilities to optimize machine learning tasks.

cuDF (πŸ₯‡35 Β· ⭐ 8.9K) - cuDF - GPU DataFrame Library. Apache-2 - [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 940 Β· πŸ“¦ 62 Β· πŸ“‹ 7K - 15% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/rapidsai/cudf
- [PyPi](https://pypi.org/project/cudf) (πŸ“₯ 3.3K / month Β· πŸ“¦ 22 Β· ⏱️ 01.06.2020): 
pip install cudf
optimum (πŸ₯‡35 Β· ⭐ 2.9K) - Accelerate inference and training of Transformers, Diffusers, TIMM.. Apache-2 - [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 540 Β· πŸ“¦ 5.6K Β· πŸ“‹ 890 - 40% open Β· ⏱️ 20.05.2025): 
git clone https://github.com/huggingface/optimum
- [PyPi](https://pypi.org/project/optimum) (πŸ“₯ 1.3M / month Β· πŸ“¦ 240 Β· ⏱️ 16.05.2025): 
pip install optimum
- [Conda](https://anaconda.org/conda-forge/optimum) (πŸ“₯ 39K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge optimum
Apex (πŸ₯ˆ32 Β· ⭐ 8.7K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3 - [GitHub](https://github.com/NVIDIA/apex) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.4K Β· πŸ“¦ 3.2K Β· πŸ“‹ 1.3K - 58% open Β· ⏱️ 15.05.2025): 
git clone https://github.com/NVIDIA/apex
- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (πŸ“₯ 500K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge nvidia-apex
cuML (πŸ₯ˆ32 Β· ⭐ 4.7K) - cuML - RAPIDS Machine Learning Library. Apache-2 - [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 570 Β· πŸ“‹ 2.8K - 35% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/rapidsai/cuml
- [PyPi](https://pypi.org/project/cuml) (πŸ“₯ 4.6K / month Β· πŸ“¦ 14 Β· ⏱️ 01.06.2020): 
pip install cuml
PyCUDA (πŸ₯ˆ32 Β· ⭐ 1.9K) - CUDA integration for Python, plus shiny features. MIT - [GitHub](https://github.com/inducer/pycuda) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 290 Β· πŸ“¦ 3.8K Β· πŸ“‹ 280 - 30% open Β· ⏱️ 06.05.2025): 
git clone https://github.com/inducer/pycuda
- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 120K / month Β· πŸ“¦ 170 Β· ⏱️ 07.02.2025): 
pip install pycuda
- [Conda](https://anaconda.org/conda-forge/pycuda) (πŸ“₯ 980K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pycuda
gpustat (πŸ₯ˆ29 Β· ⭐ 4.2K) - A simple command-line utility for querying and monitoring GPU status. MIT - [GitHub](https://github.com/wookayin/gpustat) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 280 Β· πŸ“¦ 7.4K Β· πŸ“‹ 130 - 22% open Β· ⏱️ 13.04.2025): 
git clone https://github.com/wookayin/gpustat
- [PyPi](https://pypi.org/project/gpustat) (πŸ“₯ 740K / month Β· πŸ“¦ 150 Β· ⏱️ 22.08.2023): 
pip install gpustat
- [Conda](https://anaconda.org/conda-forge/gpustat) (πŸ“₯ 310K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge gpustat
ArrayFire (πŸ₯ˆ28 Β· ⭐ 4.7K) - ArrayFire: a general purpose GPU library. BSD-3 - [GitHub](https://github.com/arrayfire/arrayfire) (πŸ‘¨β€πŸ’» 97 Β· πŸ”€ 540 Β· πŸ“₯ 8.4K Β· πŸ“‹ 1.8K - 19% open Β· ⏱️ 04.04.2025): 
git clone https://github.com/arrayfire/arrayfire
- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 3.7K / month Β· πŸ“¦ 10 Β· ⏱️ 22.02.2022): 
pip install arrayfire
cuGraph (πŸ₯ˆ28 Β· ⭐ 2K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 - [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 330 Β· πŸ“‹ 1.8K - 9% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/rapidsai/cugraph
- [PyPi](https://pypi.org/project/cugraph) (πŸ“₯ 370 / month Β· πŸ“¦ 4 Β· ⏱️ 01.06.2020): 
pip install cugraph
- [Conda](https://anaconda.org/conda-forge/libcugraph) (πŸ“₯ 65K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge libcugraph
CuPy (πŸ₯‰27 Β· ⭐ 10K) - NumPy & SciPy for GPU. MIT - [GitHub](https://github.com/cupy/cupy) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 900): 
git clone https://github.com/cupy/cupy
- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 26K / month Β· πŸ“¦ 350 Β· ⏱️ 04.04.2025): 
pip install cupy
- [Conda](https://anaconda.org/conda-forge/cupy) (πŸ“₯ 6.4M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge cupy
- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (πŸ“₯ 83K Β· ⭐ 13 Β· ⏱️ 04.04.2025): 
docker pull cupy/cupy
DALI (πŸ₯‰25 Β· ⭐ 5.4K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2 - [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 640 Β· πŸ“‹ 1.7K - 14% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/NVIDIA/DALI
Vulkan Kompute (πŸ₯‰23 Β· ⭐ 2.2K) - General purpose GPU compute framework built on Vulkan to.. Apache-2 - [GitHub](https://github.com/KomputeProject/kompute) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 160 Β· πŸ“₯ 640 Β· πŸ“‹ 230 - 32% open Β· ⏱️ 19.03.2025): 
git clone https://github.com/KomputeProject/kompute
- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 280 / month Β· ⏱️ 20.01.2024): 
pip install kp
Merlin (πŸ₯‰20 Β· ⭐ 830 Β· πŸ’€) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2 - [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 120 Β· πŸ“‹ 460 - 46% open Β· ⏱️ 22.07.2024): 
git clone https://github.com/NVIDIA-Merlin/Merlin
- [PyPi](https://pypi.org/project/merlin-core) (πŸ“₯ 18K / month Β· πŸ“¦ 1 Β· ⏱️ 29.08.2023): 
pip install merlin-core
Show 8 hidden projects... - GPUtil (πŸ₯‰25 Β· ⭐ 1.2K Β· πŸ’€) - A Python module for getting the GPU status from NVIDA GPUs using.. MIT - scikit-cuda (πŸ₯‰24 Β· ⭐ 990 Β· πŸ’€) - Python interface to GPU-powered libraries. BSD-3 - py3nvml (πŸ₯‰23 Β· ⭐ 250 Β· πŸ’€) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside.. BSD-3 - BlazingSQL (πŸ₯‰21 Β· ⭐ 2K Β· πŸ’€) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. Apache-2 - nvidia-ml-py3 (πŸ₯‰19 Β· ⭐ 140 Β· πŸ’€) - Python 3 Bindings for the NVIDIA Management Library. BSD-3 - cuSignal (πŸ₯‰16 Β· ⭐ 720 Β· πŸ’€) - GPU accelerated signal processing. Apache-2 - ipyexperiments (πŸ₯‰16 Β· ⭐ 220 Β· πŸ’€) - Automatic GPU+CPU memory profiling, re-use and memory.. Apache-2 - SpeedTorch (πŸ₯‰15 Β· ⭐ 680 Β· πŸ’€) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT


Tensorflow Utilities

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Libraries that extend TensorFlow with additional capabilities.

TensorFlow Datasets (πŸ₯‡38 Β· ⭐ 4.4K) - TFDS is a collection of datasets ready to use with.. Apache-2 - [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 520 Β· πŸ”€ 1.6K Β· πŸ“¦ 24K Β· πŸ“‹ 1.5K - 47% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/tensorflow/datasets
- [PyPi](https://pypi.org/project/tensorflow-datasets) (πŸ“₯ 1.3M / month Β· πŸ“¦ 340 Β· ⏱️ 12.03.2025): 
pip install tensorflow-datasets
- [Conda](https://anaconda.org/conda-forge/tensorflow-datasets) (πŸ“₯ 46K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge tensorflow-datasets
tensorflow-hub (πŸ₯‡33 Β· ⭐ 3.5K) - A library for transfer learning by reusing parts of.. Apache-2 - [GitHub](https://github.com/tensorflow/hub) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.7K Β· πŸ“‹ 710 - 2% open Β· ⏱️ 17.01.2025): 
git clone https://github.com/tensorflow/hub
- [PyPi](https://pypi.org/project/tensorflow-hub) (πŸ“₯ 1.7M / month Β· πŸ“¦ 300 Β· ⏱️ 30.01.2024): 
pip install tensorflow-hub
- [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (πŸ“₯ 120K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge tensorflow-hub
TFX (πŸ₯ˆ32 Β· ⭐ 2.1K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2 - [GitHub](https://github.com/tensorflow/tfx) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 710 Β· πŸ“¦ 1.8K Β· πŸ“‹ 1.1K - 22% open Β· ⏱️ 26.03.2025): 
git clone https://github.com/tensorflow/tfx
- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 34K / month Β· πŸ“¦ 17 Β· ⏱️ 11.12.2024): 
pip install tfx
TensorFlow I/O (πŸ₯ˆ30 Β· ⭐ 720) - Dataset, streaming, and file system extensions.. Apache-2 - [GitHub](https://github.com/tensorflow/io) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 290 Β· πŸ“‹ 660 - 44% open Β· ⏱️ 10.04.2025): 
git clone https://github.com/tensorflow/io
- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 710K / month Β· πŸ“¦ 61 Β· ⏱️ 01.07.2024): 
pip install tensorflow-io
TF Model Optimization (πŸ₯‰28 Β· ⭐ 1.5K) - A toolkit to optimize ML models for deployment for.. Apache-2 - [GitHub](https://github.com/tensorflow/model-optimization) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 320 Β· πŸ“‹ 400 - 57% open Β· ⏱️ 10.02.2025): 
git clone https://github.com/tensorflow/model-optimization
- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 1.5M / month Β· πŸ“¦ 45 Β· ⏱️ 08.02.2024): 
pip install tensorflow-model-optimization
TensorFlow Transform (πŸ₯‰25 Β· ⭐ 990) - Input pipeline framework. Apache-2 - [GitHub](https://github.com/tensorflow/transform) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 220 Β· πŸ“‹ 220 - 17% open Β· ⏱️ 30.04.2025): 
git clone https://github.com/tensorflow/transform
- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 210K / month Β· πŸ“¦ 18 Β· ⏱️ 28.10.2024): 
pip install tensorflow-transform
Neural Structured Learning (πŸ₯‰24 Β· ⭐ 1K) - Training neural models with structured signals. Apache-2 - [GitHub](https://github.com/tensorflow/neural-structured-learning) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 190 Β· πŸ“¦ 510 Β· πŸ“‹ 69 - 1% open Β· ⏱️ 29.01.2025): 
git clone https://github.com/tensorflow/neural-structured-learning
- [PyPi](https://pypi.org/project/neural-structured-learning) (πŸ“₯ 5.3K / month Β· πŸ“¦ 3 Β· ⏱️ 29.07.2022): 
pip install neural-structured-learning
TensorFlow Cloud (πŸ₯‰21 Β· ⭐ 380) - The TensorFlow Cloud repository provides APIs that.. Apache-2 - [GitHub](https://github.com/tensorflow/cloud) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 90 Β· πŸ“‹ 100 - 73% open Β· ⏱️ 29.01.2025): 
git clone https://github.com/tensorflow/cloud
- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 30K / month Β· πŸ“¦ 7 Β· ⏱️ 17.06.2021): 
pip install tensorflow-cloud
TF Compression (πŸ₯‰20 Β· ⭐ 890) - Data compression in TensorFlow. Apache-2 - [GitHub](https://github.com/tensorflow/compression) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 250 Β· πŸ“‹ 100 - 10% open Β· ⏱️ 29.04.2025): 
git clone https://github.com/tensorflow/compression
- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 2.8K / month Β· πŸ“¦ 2 Β· ⏱️ 02.02.2024): 
pip install tensorflow-compression
Show 7 hidden projects... - tensor2tensor (πŸ₯ˆ32 Β· ⭐ 16K Β· πŸ’€) - Library of deep learning models and datasets designed.. Apache-2 - TF Addons (πŸ₯ˆ32 Β· ⭐ 1.7K Β· πŸ’€) - Useful extra functionality for TensorFlow 2.x maintained.. Apache-2 - Keras-Preprocessing (πŸ₯ˆ29 Β· ⭐ 1K Β· πŸ’€) - Utilities for working with image data, text data, and.. MIT - efficientnet (πŸ₯‰27 Β· ⭐ 2.1K Β· πŸ’€) - Implementation of EfficientNet model. Keras and.. Apache-2 - Saliency (πŸ₯‰22 Β· ⭐ 970 Β· πŸ’€) - Framework-agnostic implementation for state-of-the-art.. Apache-2 - TensorNets (πŸ₯‰20 Β· ⭐ 1K Β· πŸ’€) - High level network definitions with pre-trained weights in.. MIT - tffm (πŸ₯‰18 Β· ⭐ 780 Β· πŸ’€) - TensorFlow implementation of an arbitrary order Factorization Machine. MIT


Jax Utilities

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Libraries that extend Jax with additional capabilities.

equinox (πŸ₯‡32 Β· ⭐ 2.4K) - Elegant easy-to-use neural networks + scientific computing in.. Apache-2 - [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 160 Β· πŸ“¦ 1.2K Β· πŸ“‹ 560 - 34% open Β· ⏱️ 16.05.2025): 
git clone https://github.com/patrick-kidger/equinox
- [PyPi](https://pypi.org/project/equinox) (πŸ“₯ 300K / month Β· πŸ“¦ 250 Β· ⏱️ 14.05.2025): 
pip install equinox
evojax (πŸ₯‰20 Β· ⭐ 900 Β· πŸ’€) - EvoJAX: Hardware-accelerated Neuroevolution. Apache-2 - [GitHub](https://github.com/google/evojax) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 100 Β· πŸ“¦ 31 Β· πŸ“‹ 37 - 54% open Β· ⏱️ 27.06.2024): 
git clone https://github.com/google/evojax
- [PyPi](https://pypi.org/project/evojax) (πŸ“₯ 930 / month Β· πŸ“¦ 6 Β· ⏱️ 18.06.2024): 
pip install evojax
- [Conda](https://anaconda.org/conda-forge/evojax) (πŸ“₯ 39K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge evojax
Show 1 hidden projects... - jaxdf (πŸ₯‰12 Β· ⭐ 130 Β· πŸ’€) - A JAX-based research framework for writing differentiable.. ❗️LGPL-3.0


Sklearn Utilities

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Libraries that extend scikit-learn with additional capabilities.

MLxtend (πŸ₯‡35 Β· ⭐ 5K) - A library of extension and helper modules for Pythons data analysis.. BSD-3 - [GitHub](https://github.com/rasbt/mlxtend) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 880 Β· πŸ“¦ 20K Β· πŸ“‹ 500 - 29% open Β· ⏱️ 26.01.2025): 
git clone https://github.com/rasbt/mlxtend
- [PyPi](https://pypi.org/project/mlxtend) (πŸ“₯ 740K / month Β· πŸ“¦ 200 Β· ⏱️ 26.01.2025): 
pip install mlxtend
- [Conda](https://anaconda.org/conda-forge/mlxtend) (πŸ“₯ 360K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge mlxtend
scikit-learn-intelex (πŸ₯‡35 Β· ⭐ 1.3K) - Extension for Scikit-learn is a seamless way to speed.. Apache-2 - [GitHub](https://github.com/uxlfoundation/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 180 Β· πŸ“¦ 14K Β· πŸ“‹ 250 - 19% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/intel/scikit-learn-intelex
- [PyPi](https://pypi.org/project/scikit-learn-intelex) (πŸ“₯ 97K / month Β· πŸ“¦ 65 Β· ⏱️ 22.04.2025): 
pip install scikit-learn-intelex
- [Conda](https://anaconda.org/conda-forge/scikit-learn-intelex) (πŸ“₯ 540K Β· ⏱️ 05.05.2025): 
conda install -c conda-forge scikit-learn-intelex
imbalanced-learn (πŸ₯ˆ33 Β· ⭐ 7K) - A Python Package to Tackle the Curse of Imbalanced.. MIT - [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 1.3K Β· πŸ“‹ 620 - 7% open Β· ⏱️ 11.05.2025): 
git clone https://github.com/scikit-learn-contrib/imbalanced-learn
- [PyPi](https://pypi.org/project/imbalanced-learn) (πŸ“₯ 15M / month Β· πŸ“¦ 480 Β· ⏱️ 20.12.2024): 
pip install imbalanced-learn
- [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (πŸ“₯ 700K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge imbalanced-learn
category_encoders (πŸ₯ˆ33 Β· ⭐ 2.4K) - A library of sklearn compatible categorical variable.. BSD-3 - [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 400 Β· πŸ“¦ 3.8K Β· πŸ“‹ 300 - 14% open Β· ⏱️ 24.03.2025): 
git clone https://github.com/scikit-learn-contrib/category_encoders
- [PyPi](https://pypi.org/project/category_encoders) (πŸ“₯ 1.8M / month Β· πŸ“¦ 310 Β· ⏱️ 15.03.2025): 
pip install category_encoders
- [Conda](https://anaconda.org/conda-forge/category_encoders) (πŸ“₯ 320K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge category_encoders
scikit-lego (πŸ₯ˆ27 Β· ⭐ 1.3K) - Extra blocks for scikit-learn pipelines. MIT - [GitHub](https://github.com/koaning/scikit-lego) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 120 Β· πŸ“¦ 180 Β· πŸ“‹ 340 - 10% open Β· ⏱️ 30.04.2025): 
git clone https://github.com/koaning/scikit-lego
- [PyPi](https://pypi.org/project/scikit-lego) (πŸ“₯ 30K / month Β· πŸ“¦ 13 Β· ⏱️ 30.04.2025): 
pip install scikit-lego
- [Conda](https://anaconda.org/conda-forge/scikit-lego) (πŸ“₯ 68K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge scikit-lego
scikit-opt (πŸ₯‰25 Β· ⭐ 5.5K Β· πŸ’€) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT - [GitHub](https://github.com/guofei9987/scikit-opt) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 990 Β· πŸ“¦ 270 Β· πŸ“‹ 180 - 37% open Β· ⏱️ 23.06.2024): 
git clone https://github.com/guofei9987/scikit-opt
- [PyPi](https://pypi.org/project/scikit-opt) (πŸ“₯ 6.5K / month Β· πŸ“¦ 15 Β· ⏱️ 14.01.2022): 
pip install scikit-opt
iterative-stratification (πŸ₯‰21 Β· ⭐ 860 Β· πŸ’€) - scikit-learn cross validators for iterative.. BSD-3 - [GitHub](https://github.com/trent-b/iterative-stratification) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 75 Β· πŸ“¦ 590 Β· πŸ“‹ 27 - 7% open Β· ⏱️ 12.10.2024): 
git clone https://github.com/trent-b/iterative-stratification
- [PyPi](https://pypi.org/project/iterative-stratification) (πŸ“₯ 54K / month Β· πŸ“¦ 15 Β· ⏱️ 12.10.2024): 
pip install iterative-stratification
dabl (πŸ₯‰19 Β· ⭐ 730 Β· πŸ’€) - Data Analysis Baseline Library. BSD-3 - [GitHub](https://github.com/amueller/dabl) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 100 Β· ⏱️ 07.08.2024): 
git clone https://github.com/amueller/dabl
- [PyPi](https://pypi.org/project/dabl) (πŸ“₯ 4.1K / month Β· πŸ“¦ 3 Β· ⏱️ 16.12.2024): 
pip install dabl
scikit-tda (πŸ₯‰18 Β· ⭐ 550 Β· πŸ’€) - Topological Data Analysis for Python. MIT - [GitHub](https://github.com/scikit-tda/scikit-tda) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 54 Β· πŸ“¦ 87 Β· πŸ“‹ 22 - 18% open Β· ⏱️ 19.07.2024): 
git clone https://github.com/scikit-tda/scikit-tda
- [PyPi](https://pypi.org/project/scikit-tda) (πŸ“₯ 1.5K / month Β· ⏱️ 19.07.2024): 
pip install scikit-tda
Show 10 hidden projects... - scikit-survival (πŸ₯ˆ32 Β· ⭐ 1.2K) - Survival analysis built on top of scikit-learn. ❗️GPL-3.0 - fancyimpute (πŸ₯ˆ27 Β· ⭐ 1.3K Β· πŸ’€) - Multivariate imputation and matrix completion.. Apache-2 - scikit-multilearn (πŸ₯ˆ27 Β· ⭐ 930 Β· πŸ’€) - A scikit-learn based module for multi-label et. al... BSD-2 - sklearn-crfsuite (πŸ₯ˆ27 Β· ⭐ 430 Β· πŸ’€) - scikit-learn inspired API for CRFsuite. MIT - sklearn-contrib-lightning (πŸ₯‰24 Β· ⭐ 1.7K Β· πŸ’€) - Large-scale linear classification, regression and.. BSD-3 - skope-rules (πŸ₯‰22 Β· ⭐ 640 Β· πŸ’€) - machine learning with logical rules in Python. ❗️BSD-1-Clause - celer (πŸ₯‰22 Β· ⭐ 230) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,.. BSD-3 - combo (πŸ₯‰21 Β· ⭐ 660 Β· πŸ’€) - (AAAI 20) A Python Toolbox for Machine Learning Model.. BSD-2 xgboost - DESlib (πŸ₯‰18 Β· ⭐ 490 Β· πŸ’€) - A Python library for dynamic classifier and ensemble selection. BSD-3 - skggm (πŸ₯‰17 Β· ⭐ 250 Β· πŸ’€) - Scikit-learn compatible estimation of general graphical models. MIT


Pytorch Utilities

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Libraries that extend Pytorch with additional capabilities.

accelerate (πŸ₯‡43 Β· ⭐ 8.7K) - A simple way to launch, train, and use PyTorch models on.. Apache-2 - [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 350 Β· πŸ”€ 1.1K Β· πŸ“¦ 95K Β· πŸ“‹ 1.8K - 5% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/huggingface/accelerate
- [PyPi](https://pypi.org/project/accelerate) (πŸ“₯ 12M / month Β· πŸ“¦ 2.2K Β· ⏱️ 15.05.2025): 
pip install accelerate
- [Conda](https://anaconda.org/conda-forge/accelerate) (πŸ“₯ 400K Β· ⏱️ 15.05.2025): 
conda install -c conda-forge accelerate
tinygrad (πŸ₯‡35 Β· ⭐ 29K) - You like pytorch? You like micrograd? You love tinygrad!. MIT - [GitHub](https://github.com/tinygrad/tinygrad) (πŸ‘¨β€πŸ’» 400 Β· πŸ”€ 3.3K Β· πŸ“¦ 220 Β· πŸ“‹ 920 - 14% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/geohot/tinygrad
PML (πŸ₯‡33 Β· ⭐ 6.1K) - The easiest way to use deep metric learning in your application. Modular,.. MIT - [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 660 Β· πŸ“¦ 2.7K Β· πŸ“‹ 530 - 14% open Β· ⏱️ 11.12.2024): 
git clone https://github.com/KevinMusgrave/pytorch-metric-learning
- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 820K / month Β· πŸ“¦ 55 Β· ⏱️ 11.12.2024): 
pip install pytorch-metric-learning
- [Conda](https://anaconda.org/metric-learning/pytorch-metric-learning) (πŸ“₯ 13K Β· ⏱️ 25.03.2025): 
conda install -c metric-learning pytorch-metric-learning
torchdiffeq (πŸ₯‡32 Β· ⭐ 6K) - Differentiable ODE solvers with full GPU support and O(1)-memory.. MIT - [GitHub](https://github.com/rtqichen/torchdiffeq) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 930 Β· πŸ“¦ 5.2K Β· πŸ“‹ 220 - 33% open Β· ⏱️ 04.04.2025): 
git clone https://github.com/rtqichen/torchdiffeq
- [PyPi](https://pypi.org/project/torchdiffeq) (πŸ“₯ 1.2M / month Β· πŸ“¦ 120 Β· ⏱️ 21.11.2024): 
pip install torchdiffeq
- [Conda](https://anaconda.org/conda-forge/torchdiffeq) (πŸ“₯ 22K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge torchdiffeq
torchsde (πŸ₯ˆ30 Β· ⭐ 1.6K) - Differentiable SDE solvers with GPU support and efficient.. Apache-2 - [GitHub](https://github.com/google-research/torchsde) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 200 Β· πŸ“¦ 5.2K Β· πŸ“‹ 82 - 35% open Β· ⏱️ 30.12.2024): 
git clone https://github.com/google-research/torchsde
- [PyPi](https://pypi.org/project/torchsde) (πŸ“₯ 2.7M / month Β· πŸ“¦ 37 Β· ⏱️ 26.09.2023): 
pip install torchsde
- [Conda](https://anaconda.org/conda-forge/torchsde) (πŸ“₯ 39K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge torchsde
torch-scatter (πŸ₯ˆ27 Β· ⭐ 1.6K) - PyTorch Extension Library of Optimized Scatter Operations. MIT - [GitHub](https://github.com/rusty1s/pytorch_scatter) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 190 Β· πŸ“‹ 410 - 6% open Β· ⏱️ 20.04.2025): 
git clone https://github.com/rusty1s/pytorch_scatter
- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 52K / month Β· πŸ“¦ 150 Β· ⏱️ 06.10.2023): 
pip install torch-scatter
- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (πŸ“₯ 850K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pytorch_scatter
EfficientNets (πŸ₯ˆ25 Β· ⭐ 1.6K Β· πŸ’€) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2 - [GitHub](https://github.com/rwightman/gen-efficientnet-pytorch) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 210 Β· πŸ“¦ 300 Β· πŸ“‹ 55 - 7% open Β· ⏱️ 13.06.2024): 
git clone https://github.com/rwightman/gen-efficientnet-pytorch
- [PyPi](https://pypi.org/project/geffnet) (πŸ“₯ 190K / month Β· πŸ“¦ 4 Β· ⏱️ 08.07.2021): 
pip install geffnet
PyTorch Sparse (πŸ₯ˆ25 Β· ⭐ 1.1K) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT - [GitHub](https://github.com/rusty1s/pytorch_sparse) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 150 Β· πŸ“‹ 290 - 10% open Β· ⏱️ 10.04.2025): 
git clone https://github.com/rusty1s/pytorch_sparse
- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“₯ 35K / month Β· πŸ“¦ 120 Β· ⏱️ 06.10.2023): 
pip install torch-sparse
- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (πŸ“₯ 800K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pytorch_sparse
Pytorch Toolbelt (πŸ₯‰24 Β· ⭐ 1.5K) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT - [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 120 Β· πŸ“₯ 160 Β· πŸ“‹ 33 - 12% open Β· ⏱️ 01.03.2025): 
git clone https://github.com/BloodAxe/pytorch-toolbelt
- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 14K / month Β· πŸ“¦ 12 Β· ⏱️ 21.11.2024): 
pip install pytorch_toolbelt
madgrad (πŸ₯‰17 Β· ⭐ 800) - MADGRAD Optimization Method. MIT - [GitHub](https://github.com/facebookresearch/madgrad) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 57 Β· πŸ“¦ 100 Β· ⏱️ 27.01.2025): 
git clone https://github.com/facebookresearch/madgrad
- [PyPi](https://pypi.org/project/madgrad) (πŸ“₯ 3K / month Β· πŸ“¦ 1 Β· ⏱️ 08.03.2022): 
pip install madgrad
pytorchviz (πŸ₯‰14 Β· ⭐ 3.4K) - A small package to create visualizations of PyTorch execution graphs. MIT - [GitHub](https://github.com/szagoruyko/pytorchviz) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 280 Β· πŸ“‹ 72 - 47% open Β· ⏱️ 30.12.2024): 
git clone https://github.com/szagoruyko/pytorchviz
Show 21 hidden projects... - pretrainedmodels (πŸ₯ˆ30 Β· ⭐ 9.1K Β· πŸ’€) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 - EfficientNet-PyTorch (πŸ₯ˆ28 Β· ⭐ 8.1K Β· πŸ’€) - A PyTorch implementation of EfficientNet. Apache-2 - lightning-flash (πŸ₯ˆ28 Β· ⭐ 1.7K Β· πŸ’€) - Your PyTorch AI Factory - Flash enables you to easily.. Apache-2 - pytorch-optimizer (πŸ₯ˆ27 Β· ⭐ 3.1K Β· πŸ’€) - torch-optimizer -- collection of optimizers for.. Apache-2 - TabNet (πŸ₯ˆ26 Β· ⭐ 2.8K Β· πŸ’€) - PyTorch implementation of TabNet paper :.. MIT - pytorch-summary (πŸ₯‰24 Β· ⭐ 4K Β· πŸ’€) - Model summary in PyTorch similar to `model.summary()` in.. MIT - Torchmeta (πŸ₯‰24 Β· ⭐ 2K Β· πŸ’€) - A collection of extensions and data-loaders for few-shot.. MIT - Higher (πŸ₯‰24 Β· ⭐ 1.6K Β· πŸ’€) - higher is a pytorch library allowing users to obtain higher.. Apache-2 - micrograd (πŸ₯‰22 Β· ⭐ 12K Β· πŸ’€) - A tiny scalar-valued autograd engine and a neural net library.. MIT - SRU (πŸ₯‰22 Β· ⭐ 2.1K Β· πŸ’€) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). MIT - Antialiased CNNs (πŸ₯‰22 Β· ⭐ 1.7K Β· πŸ’€) - pip install antialiased-cnns to improve stability and.. ❗️CC BY-NC-SA 4.0 - AdaBound (πŸ₯‰21 Β· ⭐ 2.9K Β· πŸ’€) - An optimizer that trains as fast as Adam and as good as SGD. Apache-2 - reformer-pytorch (πŸ₯‰21 Β· ⭐ 2.2K Β· πŸ’€) - Reformer, the efficient Transformer, in Pytorch. MIT - Performer Pytorch (πŸ₯‰21 Β· ⭐ 1.1K Β· πŸ’€) - An implementation of Performer, a linear attention-.. MIT - Poutyne (πŸ₯‰21 Β· ⭐ 570) - A simplified framework and utilities for PyTorch. ❗️LGPL-3.0 - Lambda Networks (πŸ₯‰19 Β· ⭐ 1.5K Β· πŸ’€) - Implementation of LambdaNetworks, a new approach to.. MIT - Torch-Struct (πŸ₯‰19 Β· ⭐ 1.1K Β· πŸ’€) - Fast, general, and tested differentiable structured.. MIT - Tensor Sensor (πŸ₯‰18 Β· ⭐ 810 Β· πŸ’€) - The goal of this library is to generate more helpful.. MIT - Tez (πŸ₯‰17 Β· ⭐ 1.2K Β· πŸ’€) - Tez is a super-simple and lightweight Trainer for PyTorch. It.. Apache-2 - Pywick (πŸ₯‰17 Β· ⭐ 400 Β· πŸ’€) - High-level batteries-included neural network training library for.. MIT - TorchDrift (πŸ₯‰15 Β· ⭐ 320 Β· πŸ’€) - Drift Detection for your PyTorch Models. Apache-2


Database Clients

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Libraries for connecting to, operating, and querying databases.

πŸ”— best-of-python - DB Clients ( ⭐ 4K) - Collection of database clients for python.


Others

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scipy (πŸ₯‡50 Β· ⭐ 14K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3 - [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.8K Β· πŸ”€ 5.4K Β· πŸ“₯ 490K Β· πŸ“¦ 1.4M Β· πŸ“‹ 11K - 15% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/scipy/scipy
- [PyPi](https://pypi.org/project/scipy) (πŸ“₯ 150M / month Β· πŸ“¦ 55K Β· ⏱️ 21.05.2025): 
pip install scipy
- [Conda](https://anaconda.org/conda-forge/scipy) (πŸ“₯ 63M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge scipy
SymPy (πŸ₯‡50 Β· ⭐ 14K) - A computer algebra system written in pure Python. BSD-3 - [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 4.7K Β· πŸ“₯ 560K Β· πŸ“¦ 270K Β· πŸ“‹ 14K - 36% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/sympy/sympy
- [PyPi](https://pypi.org/project/sympy) (πŸ“₯ 56M / month Β· πŸ“¦ 4.3K Β· ⏱️ 27.04.2025): 
pip install sympy
- [Conda](https://anaconda.org/conda-forge/sympy) (πŸ“₯ 8.9M Β· ⏱️ 29.04.2025): 
conda install -c conda-forge sympy
Streamlit (πŸ₯‡46 Β· ⭐ 39K) - Streamlit A faster way to build and share data apps. Apache-2 - [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 410 Β· πŸ”€ 3.5K Β· πŸ“¦ 940K Β· πŸ“‹ 5.3K - 22% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/streamlit/streamlit
- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 12M / month Β· πŸ“¦ 3.8K Β· ⏱️ 12.05.2025): 
pip install streamlit
Gradio (πŸ₯‡45 Β· ⭐ 38K Β· πŸ“ˆ) - Wrap UIs around any model, share with anyone. Apache-2 - [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 590 Β· πŸ”€ 2.9K Β· πŸ“¦ 76K Β· πŸ“‹ 5.7K - 8% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/gradio-app/gradio
- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 8.5M / month Β· πŸ“¦ 1.2K Β· ⏱️ 19.05.2025): 
pip install gradio
carla (πŸ₯‡37 Β· ⭐ 12K) - Open-source simulator for autonomous driving research. MIT - [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 3.9K Β· πŸ“¦ 1.1K Β· πŸ“‹ 5.9K - 18% open Β· ⏱️ 06.05.2025): 
git clone https://github.com/carla-simulator/carla
- [PyPi](https://pypi.org/project/carla) (πŸ“₯ 43K / month Β· πŸ“¦ 11 Β· ⏱️ 14.11.2023): 
pip install carla
Autograd (πŸ₯‡37 Β· ⭐ 7.3K) - Efficiently computes derivatives of NumPy code. MIT - [GitHub](https://github.com/HIPS/autograd) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 910 Β· πŸ“¦ 13K Β· πŸ“‹ 440 - 42% open Β· ⏱️ 19.05.2025): 
git clone https://github.com/HIPS/autograd
- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 3.4M / month Β· πŸ“¦ 310 Β· ⏱️ 05.05.2025): 
pip install autograd
- [Conda](https://anaconda.org/conda-forge/autograd) (πŸ“₯ 540K Β· ⏱️ 05.05.2025): 
conda install -c conda-forge autograd
PennyLane (πŸ₯‡37 Β· ⭐ 2.6K) - PennyLane is a cross-platform Python library for quantum.. Apache-2 - [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 660 Β· πŸ“₯ 100 Β· πŸ“¦ 1.7K Β· πŸ“‹ 1.6K - 25% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/PennyLaneAI/PennyLane
- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 90K / month Β· πŸ“¦ 150 Β· ⏱️ 02.05.2025): 
pip install pennylane
- [Conda](https://anaconda.org/conda-forge/pennylane) (πŸ“₯ 270K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pennylane
PyOD (πŸ₯ˆ36 Β· ⭐ 9.2K) - A Python Library for Outlier and Anomaly Detection, Integrating Classical.. BSD-2 - [GitHub](https://github.com/yzhao062/pyod) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 1.4K Β· πŸ“¦ 5.3K Β· πŸ“‹ 380 - 60% open Β· ⏱️ 29.04.2025): 
git clone https://github.com/yzhao062/pyod
- [PyPi](https://pypi.org/project/pyod) (πŸ“₯ 640K / month Β· πŸ“¦ 130 Β· ⏱️ 29.04.2025): 
pip install pyod
- [Conda](https://anaconda.org/conda-forge/pyod) (πŸ“₯ 150K Β· ⏱️ 30.04.2025): 
conda install -c conda-forge pyod
Datasette (πŸ₯ˆ34 Β· ⭐ 10K) - An open source multi-tool for exploring and publishing data. Apache-2 - [GitHub](https://github.com/simonw/datasette) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 740 Β· πŸ“₯ 72 Β· πŸ“¦ 1.5K Β· πŸ“‹ 1.9K - 32% open Β· ⏱️ 22.04.2025): 
git clone https://github.com/simonw/datasette
- [PyPi](https://pypi.org/project/datasette) (πŸ“₯ 190K / month Β· πŸ“¦ 460 Β· ⏱️ 22.04.2025): 
pip install datasette
- [Conda](https://anaconda.org/conda-forge/datasette) (πŸ“₯ 62K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge datasette
DeepChem (πŸ₯ˆ34 Β· ⭐ 6K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT - [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 1.9K Β· πŸ“¦ 610 Β· πŸ“‹ 2K - 38% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/deepchem/deepchem
- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 39K / month Β· πŸ“¦ 17 Β· ⏱️ 21.05.2025): 
pip install deepchem
- [Conda](https://anaconda.org/conda-forge/deepchem) (πŸ“₯ 120K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge deepchem
agate (πŸ₯ˆ34 Β· ⭐ 1.2K) - A Python data analysis library that is optimized for humans instead of.. MIT - [GitHub](https://github.com/wireservice/agate) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 150 Β· πŸ“¦ 5K Β· πŸ“‹ 650 - 0% open Β· ⏱️ 27.02.2025): 
git clone https://github.com/wireservice/agate
- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 18M / month Β· πŸ“¦ 54 Β· ⏱️ 29.01.2025): 
pip install agate
- [Conda](https://anaconda.org/conda-forge/agate) (πŸ“₯ 320K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge agate
Pythran (πŸ₯ˆ33 Β· ⭐ 2.1K) - Ahead of Time compiler for numeric kernels. BSD-3 - [GitHub](https://github.com/serge-sans-paille/pythran) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 200 Β· πŸ“¦ 3.4K Β· πŸ“‹ 890 - 14% open Β· ⏱️ 10.05.2025): 
git clone https://github.com/serge-sans-paille/pythran
- [PyPi](https://pypi.org/project/pythran) (πŸ“₯ 310K / month Β· πŸ“¦ 21 Β· ⏱️ 31.10.2024): 
pip install pythran
- [Conda](https://anaconda.org/conda-forge/pythran) (πŸ“₯ 1.1M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pythran
hdbscan (πŸ₯ˆ32 Β· ⭐ 2.9K) - A high performance implementation of HDBSCAN clustering. BSD-3 - [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 500 Β· πŸ“¦ 6.8K Β· πŸ“‹ 530 - 67% open Β· ⏱️ 13.05.2025): 
git clone https://github.com/scikit-learn-contrib/hdbscan
- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 740K / month Β· πŸ“¦ 350 Β· ⏱️ 18.11.2024): 
pip install hdbscan
- [Conda](https://anaconda.org/conda-forge/hdbscan) (πŸ“₯ 2.5M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge hdbscan
tensorly (πŸ₯ˆ32 Β· ⭐ 1.6K) - TensorLy: Tensor Learning in Python. BSD-2 - [GitHub](https://github.com/tensorly/tensorly) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 290 Β· πŸ“¦ 1K Β· πŸ“‹ 280 - 23% open Β· ⏱️ 05.05.2025): 
git clone https://github.com/tensorly/tensorly
- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 76K / month Β· πŸ“¦ 99 Β· ⏱️ 12.11.2024): 
pip install tensorly
- [Conda](https://anaconda.org/conda-forge/tensorly) (πŸ“₯ 380K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge tensorly
pyjanitor (πŸ₯ˆ32 Β· ⭐ 1.4K) - Clean APIs for data cleaning. Python implementation of R package.. MIT - [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 170 Β· πŸ“¦ 940 Β· πŸ“‹ 580 - 19% open Β· ⏱️ 14.05.2025): 
git clone https://github.com/pyjanitor-devs/pyjanitor
- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 90K / month Β· πŸ“¦ 42 Β· ⏱️ 07.03.2025): 
pip install pyjanitor
- [Conda](https://anaconda.org/conda-forge/pyjanitor) (πŸ“₯ 260K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pyjanitor
PaddleHub (πŸ₯ˆ31 Β· ⭐ 13K Β· πŸ’€) - Awesome pre-trained models toolkit based on PaddlePaddle... Apache-2 - [GitHub](https://github.com/PaddlePaddle/PaddleHub) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 2.1K Β· πŸ“₯ 840 Β· πŸ“¦ 1.9K Β· πŸ“‹ 1.3K - 44% open Β· ⏱️ 07.08.2024): 
git clone https://github.com/PaddlePaddle/PaddleHub
- [PyPi](https://pypi.org/project/paddlehub) (πŸ“₯ 5.8K / month Β· πŸ“¦ 7 Β· ⏱️ 20.09.2023): 
pip install paddlehub
pyopencl (πŸ₯ˆ31 Β· ⭐ 1.1K) - OpenCL integration for Python, plus shiny features. MIT - [GitHub](https://github.com/inducer/pyopencl) (πŸ‘¨β€πŸ’» 98 Β· πŸ”€ 240 Β· πŸ“¦ 2.3K Β· πŸ“‹ 360 - 21% open Β· ⏱️ 07.05.2025): 
git clone https://github.com/inducer/pyopencl
- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 91K / month Β· πŸ“¦ 180 Β· ⏱️ 22.01.2025): 
pip install pyopencl
- [Conda](https://anaconda.org/conda-forge/pyopencl) (πŸ“₯ 1.8M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pyopencl
datalad (πŸ₯ˆ31 Β· ⭐ 580) - Keep code, data, containers under control with git and git-annex. MIT - [GitHub](https://github.com/datalad/datalad) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 110 Β· πŸ“¦ 520 Β· πŸ“‹ 4K - 13% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/datalad/datalad
- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 21K / month Β· πŸ“¦ 100 Β· ⏱️ 21.05.2025): 
pip install datalad
- [Conda](https://anaconda.org/conda-forge/datalad) (πŸ“₯ 870K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge datalad
River (πŸ₯ˆ30 Β· ⭐ 5.3K) - Online machine learning in Python. BSD-3 - [GitHub](https://github.com/online-ml/river) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 570 Β· πŸ“¦ 740 Β· πŸ“‹ 620 - 19% open Β· ⏱️ 15.05.2025): 
git clone https://github.com/online-ml/river
- [PyPi](https://pypi.org/project/river) (πŸ“₯ 62K / month Β· πŸ“¦ 64 Β· ⏱️ 25.11.2024): 
pip install river
- [Conda](https://anaconda.org/conda-forge/river) (πŸ“₯ 110K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge river
anomalib (πŸ₯ˆ30 Β· ⭐ 4.3K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2 - [GitHub](https://github.com/open-edge-platform/anomalib) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 740 Β· πŸ“₯ 26K Β· πŸ“¦ 190 Β· πŸ“‹ 1K - 15% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/openvinotoolkit/anomalib
- [PyPi](https://pypi.org/project/anomalib) (πŸ“₯ 59K / month Β· πŸ“¦ 5 Β· ⏱️ 19.03.2025): 
pip install anomalib
dstack (πŸ₯ˆ30 Β· ⭐ 1.8K) - dstack is an open-source alternative to Kubernetes and Slurm, designed.. MPL-2.0 - [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 180 Β· πŸ“¦ 18 Β· πŸ“‹ 1.3K - 9% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/dstackai/dstack
- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 5.9K / month Β· ⏱️ 21.05.2025): 
pip install dstack
causalml (πŸ₯ˆ29 Β· ⭐ 5.4K) - Uplift modeling and causal inference with machine learning.. Apache-2 - [GitHub](https://github.com/uber/causalml) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 810 Β· πŸ“¦ 290 Β· πŸ“‹ 410 - 10% open Β· ⏱️ 19.05.2025): 
git clone https://github.com/uber/causalml
- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 42K / month Β· πŸ“¦ 10 Β· ⏱️ 15.05.2025): 
pip install causalml
adapter-transformers (πŸ₯‰28 Β· ⭐ 2.7K) - A Unified Library for Parameter-Efficient and Modular.. Apache-2 huggingface - [GitHub](https://github.com/adapter-hub/adapters) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 360 Β· πŸ“¦ 230 Β· πŸ“‹ 400 - 10% open Β· ⏱️ 20.05.2025): 
git clone https://github.com/Adapter-Hub/adapter-transformers
- [PyPi](https://pypi.org/project/adapter-transformers) (πŸ“₯ 4.6K / month Β· πŸ“¦ 12 Β· ⏱️ 07.07.2024): 
pip install adapter-transformers
Prince (πŸ₯‰28 Β· ⭐ 1.4K) - Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA,.. MIT - [GitHub](https://github.com/MaxHalford/prince) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 180 Β· πŸ“¦ 740 Β· ⏱️ 09.03.2025): 
git clone https://github.com/MaxHalford/prince
- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 150K / month Β· πŸ“¦ 20 Β· ⏱️ 09.03.2025): 
pip install prince
- [Conda](https://anaconda.org/conda-forge/prince-factor-analysis) (πŸ“₯ 25K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge prince-factor-analysis
Trax (πŸ₯‰27 Β· ⭐ 8.2K) - Trax Deep Learning with Clear Code and Speed. Apache-2 - [GitHub](https://github.com/google/trax) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 820 Β· πŸ“¦ 220 Β· πŸ“‹ 250 - 49% open Β· ⏱️ 10.04.2025): 
git clone https://github.com/google/trax
- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 2.2K / month Β· πŸ“¦ 1 Β· ⏱️ 26.10.2021): 
pip install trax
avalanche (πŸ₯‰27 Β· ⭐ 1.9K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT - [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 300 Β· πŸ“₯ 54 Β· πŸ“¦ 140 Β· πŸ“‹ 830 - 12% open Β· ⏱️ 11.03.2025): 
git clone https://github.com/ContinualAI/avalanche
- [PyPi](https://pypi.org/project/avalanche-lib) (πŸ“₯ 1.9K / month Β· πŸ“¦ 3 Β· ⏱️ 29.10.2024): 
pip install avalanche-lib
TabPy (πŸ₯‰27 Β· ⭐ 1.6K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT - [GitHub](https://github.com/tableau/TabPy) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 600 Β· πŸ“¦ 210 Β· πŸ“‹ 320 - 6% open Β· ⏱️ 25.11.2024): 
git clone https://github.com/tableau/TabPy
- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 6.3K / month Β· πŸ“¦ 2 Β· ⏱️ 25.11.2024): 
pip install tabpy
- [Conda](https://anaconda.org/anaconda/tabpy-client) (πŸ“₯ 5.2K Β· ⏱️ 22.04.2025): 
conda install -c anaconda tabpy-client
pycm (πŸ₯‰27 Β· ⭐ 1.5K) - Multi-class confusion matrix library in Python. MIT - [GitHub](https://github.com/sepandhaghighi/pycm) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 130 Β· πŸ“¦ 400 Β· πŸ“‹ 210 - 8% open Β· ⏱️ 04.04.2025): 
git clone https://github.com/sepandhaghighi/pycm
- [PyPi](https://pypi.org/project/pycm) (πŸ“₯ 40K / month Β· πŸ“¦ 24 Β· ⏱️ 04.04.2025): 
pip install pycm
metric-learn (πŸ₯‰26 Β· ⭐ 1.4K Β· πŸ’€) - Metric learning algorithms in Python. MIT - [GitHub](https://github.com/scikit-learn-contrib/metric-learn) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 230 Β· πŸ“¦ 480 Β· πŸ“‹ 180 - 30% open Β· ⏱️ 03.08.2024): 
git clone https://github.com/scikit-learn-contrib/metric-learn
- [PyPi](https://pypi.org/project/metric-learn) (πŸ“₯ 5.3K / month Β· πŸ“¦ 7 Β· ⏱️ 09.10.2023): 
pip install metric-learn
- [Conda](https://anaconda.org/conda-forge/metric-learn) (πŸ“₯ 16K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge metric-learn
Feature Engine (πŸ₯‰25 Β· ⭐ 2K Β· πŸ’€) - Feature engineering package with sklearn like functionality. BSD-3 - [GitHub](https://github.com/solegalli/feature_engine) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 320 Β· ⏱️ 31.08.2024): 
git clone https://github.com/solegalli/feature_engine
- [PyPi](https://pypi.org/project/feature_engine) (πŸ“₯ 270K / month Β· πŸ“¦ 180 Β· ⏱️ 22.01.2025): 
pip install feature_engine
- [Conda](https://anaconda.org/conda-forge/feature_engine) (πŸ“₯ 73K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge feature_engine
AugLy (πŸ₯‰24 Β· ⭐ 5K) - A data augmentations library for audio, image, text, and video. MIT - [GitHub](https://github.com/facebookresearch/AugLy) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 300 Β· πŸ“¦ 180 Β· πŸ“‹ 80 - 30% open Β· ⏱️ 28.02.2025): 
git clone https://github.com/facebookresearch/AugLy
- [PyPi](https://pypi.org/project/augly) (πŸ“₯ 2.6K / month Β· πŸ“¦ 4 Β· ⏱️ 05.12.2023): 
pip install augly
BioPandas (πŸ₯‰23 Β· ⭐ 730 Β· πŸ’€) - Working with molecular structures in pandas DataFrames. BSD-3 - [GitHub](https://github.com/BioPandas/biopandas) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 370 Β· πŸ“‹ 60 - 36% open Β· ⏱️ 01.08.2024): 
git clone https://github.com/rasbt/biopandas
- [PyPi](https://pypi.org/project/biopandas) (πŸ“₯ 10K / month Β· πŸ“¦ 38 Β· ⏱️ 01.08.2024): 
pip install biopandas
- [Conda](https://anaconda.org/conda-forge/biopandas) (πŸ“₯ 180K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge biopandas
MONAILabel (πŸ₯‰22 Β· ⭐ 710) - MONAI Label is an intelligent open source image labeling and.. Apache-2 - [GitHub](https://github.com/Project-MONAI/MONAILabel) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 220 Β· πŸ“₯ 120K Β· πŸ“‹ 550 - 25% open Β· ⏱️ 05.05.2025): 
git clone https://github.com/Project-MONAI/MONAILabel
- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 1.2K / month Β· ⏱️ 01.10.2023): 
pip install monailabel-weekly
pykale (πŸ₯‰22 Β· ⭐ 460) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT - [GitHub](https://github.com/pykale/pykale) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 66 Β· πŸ“¦ 6 Β· πŸ“‹ 130 - 8% open Β· ⏱️ 18.05.2025): 
git clone https://github.com/pykale/pykale
- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 240 / month Β· ⏱️ 12.04.2022): 
pip install pykale
SUOD (πŸ₯‰22 Β· ⭐ 390) - (MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous.. BSD-2 - [GitHub](https://github.com/yzhao062/SUOD) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 49 Β· πŸ“¦ 550 Β· πŸ“‹ 15 - 80% open Β· ⏱️ 24.03.2025): 
git clone https://github.com/yzhao062/SUOD
- [PyPi](https://pypi.org/project/suod) (πŸ“₯ 14K / month Β· πŸ“¦ 9 Β· ⏱️ 24.03.2025): 
pip install suod
benchmark_VAE (πŸ₯‰20 Β· ⭐ 1.9K Β· πŸ’€) - Unifying Variational Autoencoder (VAE).. Apache-2 - [GitHub](https://github.com/clementchadebec/benchmark_VAE) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 170 Β· πŸ“¦ 40 Β· πŸ“‹ 71 - 36% open Β· ⏱️ 17.07.2024): 
git clone https://github.com/clementchadebec/benchmark_VAE
- [PyPi](https://pypi.org/project/pythae) (πŸ“₯ 660 / month Β· ⏱️ 06.09.2023): 
pip install pythae
pymdp (πŸ₯‰20 Β· ⭐ 530) - A Python implementation of active inference for Markov Decision Processes. MIT - [GitHub](https://github.com/infer-actively/pymdp) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 100 Β· πŸ“¦ 24 Β· πŸ“‹ 56 - 48% open Β· ⏱️ 06.02.2025): 
git clone https://github.com/infer-actively/pymdp
- [PyPi](https://pypi.org/project/inferactively-pymdp) (πŸ“₯ 10K / month Β· ⏱️ 08.12.2022): 
pip install inferactively-pymdp
NeuralCompression (πŸ₯‰15 Β· ⭐ 550 Β· πŸ’€) - A collection of tools for neural compression enthusiasts. MIT - [GitHub](https://github.com/facebookresearch/NeuralCompression) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 45 Β· πŸ“‹ 73 - 9% open Β· ⏱️ 20.09.2024): 
git clone https://github.com/facebookresearch/NeuralCompression
- [PyPi](https://pypi.org/project/neuralcompression) (πŸ“₯ 160 / month Β· ⏱️ 03.10.2023): 
pip install neuralcompression
Show 28 hidden projects... - Cython BLIS (πŸ₯ˆ31 Β· ⭐ 230) - Fast matrix-multiplication as a self-contained Python library no.. BSD-3 - cleanlab (πŸ₯ˆ30 Β· ⭐ 11K) - The standard data-centric AI package for data quality and machine.. ❗️AGPL-3.0 - pysc2 (πŸ₯ˆ29 Β· ⭐ 8.1K Β· πŸ’€) - StarCraft II Learning Environment. Apache-2 - minisom (πŸ₯ˆ29 Β· ⭐ 1.5K) - MiniSom is a minimalistic implementation of the Self Organizing.. ❗️CC-BY-3.0 - kmodes (πŸ₯ˆ29 Β· ⭐ 1.3K Β· πŸ’€) - Python implementations of the k-modes and k-prototypes clustering.. MIT - pyclustering (πŸ₯ˆ29 Β· ⭐ 1.2K Β· πŸ’€) - pyclustering is a Python, C++ data mining library. BSD-3 - alibi-detect (πŸ₯‰28 Β· ⭐ 2.4K) - Algorithms for outlier, adversarial and drift detection. ❗️Intel - modAL (πŸ₯‰28 Β· ⭐ 2.3K Β· πŸ’€) - A modular active learning framework for Python. MIT - gplearn (πŸ₯‰27 Β· ⭐ 1.7K Β· πŸ’€) - Genetic Programming in Python, with a scikit-learn inspired API. BSD-3 - PySwarms (πŸ₯‰27 Β· ⭐ 1.3K Β· πŸ’€) - A research toolkit for particle swarm optimization in Python. MIT - metricflow (πŸ₯‰27 Β· ⭐ 1.2K) - MetricFlow allows you to define, build, and maintain metrics.. ❗Unlicensed - findspark (πŸ₯‰25 Β· ⭐ 520 Β· πŸ’€) - Find pyspark to make it importable. BSD-3 - pandas-ai (πŸ₯‰24 Β· ⭐ 20K) - Chat with your database or your datalake (SQL, CSV, parquet)... ❗Unlicensed - Mars (πŸ₯‰24 Β· ⭐ 2.7K Β· πŸ’€) - Mars is a tensor-based unified framework for large-scale data.. Apache-2 - AstroML (πŸ₯‰23 Β· ⭐ 1.1K Β· πŸ’€) - Machine learning, statistics, and data mining for astronomy.. BSD-2 - opyrator (πŸ₯‰22 Β· ⭐ 3.1K Β· πŸ’€) - Turns your machine learning code into microservices with web API,.. MIT - mlens (πŸ₯‰22 Β· ⭐ 860 Β· πŸ’€) - ML-Ensemble high performance ensemble learning. MIT - vecstack (πŸ₯‰22 Β· ⭐ 690 Β· πŸ’€) - Python package for stacking (machine learning technique). MIT - apricot (πŸ₯‰22 Β· ⭐ 510 Β· πŸ’€) - apricot implements submodular optimization for the purpose of.. MIT - impyute (πŸ₯‰21 Β· ⭐ 360 Β· πŸ’€) - Data imputations library to preprocess datasets with missing data. MIT - StreamAlert (πŸ₯‰20 Β· ⭐ 2.9K Β· πŸ’€) - StreamAlert is a serverless, realtime data analysis.. Apache-2 - rrcf (πŸ₯‰20 Β· ⭐ 510 Β· πŸ’€) - Implementation of the Robust Random Cut Forest algorithm for anomaly.. MIT - scikit-rebate (πŸ₯‰20 Β· ⭐ 420 Β· πŸ’€) - A scikit-learn-compatible Python implementation of.. MIT - baikal (πŸ₯‰19 Β· ⭐ 590 Β· πŸ’€) - A graph-based functional API for building complex scikit-learn.. BSD-3 - pandas-ml (πŸ₯‰16 Β· ⭐ 320 Β· πŸ’€) - pandas, scikit-learn, xgboost and seaborn integration. BSD-3 - KD-Lib (πŸ₯‰15 Β· ⭐ 630 Β· πŸ’€) - A Pytorch Knowledge Distillation library for benchmarking and.. MIT - traingenerator (πŸ₯‰13 Β· ⭐ 1.4K Β· πŸ’€) - A web app to generate template code for machine learning. MIT - nylon (πŸ₯‰13 Β· ⭐ 83 Β· πŸ’€) - An intelligent, flexible grammar of machine learning. MIT

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  • in Python, ML
  • 164 min read

Best-of Machine Learning with Python

Best-of Machine Learning with Python

πŸ†  A ranked list of awesome machine learning Python libraries. Updated weekly.

This curated list contains 920 awesome open-source projects with a total of 5M stars grouped into 34 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an issue, submit a pull request, or directly edit the projects.yaml. Contributions are very welcome!

πŸ§™β€β™‚οΈ  Discover other best-of lists or create your own.
πŸ“«  Subscribe to our newsletter for updates and trending projects.

Contents

Explanation

  • πŸ₯‡πŸ₯ˆπŸ₯‰  Combined project-quality score
  • ⭐️  Star count from GitHub
  • 🐣  New project (less than 6 months old)
  • πŸ’€  Inactive project (6 months no activity)
  • πŸ’€  Dead project (12 months no activity)
  • πŸ“ˆπŸ“‰  Project is trending up or down
  • βž•  Project was recently added
  • ❗️  Warning (e.g. missing/risky license)
  • πŸ‘¨β€πŸ’»  Contributors count from GitHub
  • πŸ”€  Fork count from GitHub
  • πŸ“‹  Issue count from GitHub
  • ⏱️  Last update timestamp on package manager
  • πŸ“₯  Download count from package manager
  • πŸ“¦  Number of dependent projects
  •   Tensorflow related project
  •   Sklearn related project
  •   PyTorch related project
  •   MxNet related project
  •   Apache Spark related project
  •   Jupyter related project
  •   PaddlePaddle related project
  •   Pandas related project
  •   Jax related project


Machine Learning Frameworks

Back to top

General-purpose machine learning and deep learning frameworks.

Tensorflow (πŸ₯‡56 Β· ⭐ 190K) - An Open Source Machine Learning Framework for Everyone. Apache-2 - [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 4.9K Β· πŸ”€ 75K Β· πŸ“¦ 530K Β· πŸ“‹ 41K - 3% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/tensorflow/tensorflow
- [PyPi](https://pypi.org/project/tensorflow) (πŸ“₯ 23M / month Β· πŸ“¦ 8.9K Β· ⏱️ 12.03.2025): 
pip install tensorflow
- [Conda](https://anaconda.org/conda-forge/tensorflow) (πŸ“₯ 5.6M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge tensorflow
- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 80M Β· ⭐ 2.8K Β· ⏱️ 29.05.2025): 
docker pull tensorflow/tensorflow
PyTorch (πŸ₯‡55 Β· ⭐ 90K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 - [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 5.6K Β· πŸ”€ 24K Β· πŸ“₯ 89K Β· πŸ“¦ 790K Β· πŸ“‹ 53K - 31% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/pytorch/pytorch
- [PyPi](https://pypi.org/project/torch) (πŸ“₯ 47M / month Β· πŸ“¦ 25K Β· ⏱️ 23.04.2025): 
pip install torch
- [Conda](https://anaconda.org/pytorch/pytorch) (πŸ“₯ 27M Β· ⏱️ 25.03.2025): 
conda install -c pytorch pytorch
scikit-learn (πŸ₯‡53 Β· ⭐ 62K) - scikit-learn: machine learning in Python. BSD-3 - [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 3.3K Β· πŸ”€ 26K Β· πŸ“₯ 1.1K Β· πŸ“¦ 1.3M Β· πŸ“‹ 12K - 17% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/scikit-learn/scikit-learn
- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 100M / month Β· πŸ“¦ 30K Β· ⏱️ 09.05.2025): 
pip install scikit-learn
- [Conda](https://anaconda.org/conda-forge/scikit-learn) (πŸ“₯ 37M Β· ⏱️ 09.05.2025): 
conda install -c conda-forge scikit-learn
Keras (πŸ₯‡47 Β· ⭐ 63K) - Deep Learning for humans. Apache-2 - [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 20K Β· πŸ“‹ 13K - 2% open Β· ⏱️ 28.05.2025): 
git clone https://github.com/keras-team/keras
- [PyPi](https://pypi.org/project/keras) (πŸ“₯ 16M / month Β· πŸ“¦ 1.9K Β· ⏱️ 19.05.2025): 
pip install keras
- [Conda](https://anaconda.org/conda-forge/keras) (πŸ“₯ 4.1M Β· ⏱️ 20.05.2025): 
conda install -c conda-forge keras
XGBoost (πŸ₯‡46 Β· ⭐ 27K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2 - [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 660 Β· πŸ”€ 8.8K Β· πŸ“₯ 17K Β· πŸ“¦ 160K Β· πŸ“‹ 5.5K - 8% open Β· ⏱️ 27.05.2025): 
git clone https://github.com/dmlc/xgboost
- [PyPi](https://pypi.org/project/xgboost) (πŸ“₯ 25M / month Β· πŸ“¦ 2.5K Β· ⏱️ 25.05.2025): 
pip install xgboost
- [Conda](https://anaconda.org/conda-forge/xgboost) (πŸ“₯ 6.2M Β· ⏱️ 26.05.2025): 
conda install -c conda-forge xgboost
jax (πŸ₯‡45 Β· ⭐ 32K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 - [GitHub](https://github.com/jax-ml/jax) (πŸ‘¨β€πŸ’» 890 Β· πŸ”€ 3K Β· πŸ“¦ 45K Β· πŸ“‹ 6.2K - 23% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/google/jax
- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 7.6M / month Β· πŸ“¦ 2.5K Β· ⏱️ 21.05.2025): 
pip install jax
- [Conda](https://anaconda.org/conda-forge/jaxlib) (πŸ“₯ 2.7M Β· ⏱️ 17.05.2025): 
conda install -c conda-forge jaxlib
PaddlePaddle (πŸ₯‡45 Β· ⭐ 23K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 5.7K Β· πŸ“₯ 15K Β· πŸ“¦ 8.4K Β· πŸ“‹ 20K - 9% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/PaddlePaddle/Paddle
- [PyPi](https://pypi.org/project/paddlepaddle) (πŸ“₯ 380K / month Β· πŸ“¦ 230 Β· ⏱️ 26.03.2025): 
pip install paddlepaddle
PySpark (πŸ₯ˆ44 Β· ⭐ 41K) - Apache Spark Python API. Apache-2 - [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 3.2K Β· πŸ”€ 29K Β· ⏱️ 29.05.2025): 
git clone https://github.com/apache/spark
- [PyPi](https://pypi.org/project/pyspark) (πŸ“₯ 47M / month Β· πŸ“¦ 1.9K Β· ⏱️ 27.05.2025): 
pip install pyspark
- [Conda](https://anaconda.org/conda-forge/pyspark) (πŸ“₯ 3.9M Β· ⏱️ 23.05.2025): 
conda install -c conda-forge pyspark
pytorch-lightning (πŸ₯ˆ43 Β· ⭐ 30K) - Pretrain, finetune ANY AI model of ANY size on.. Apache-2 - [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (πŸ‘¨β€πŸ’» 1K Β· πŸ”€ 3.5K Β· πŸ“₯ 13K Β· πŸ“¦ 47K Β· πŸ“‹ 7.3K - 12% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/Lightning-AI/lightning
- [PyPi](https://pypi.org/project/pytorch-lightning) (πŸ“₯ 10M / month Β· πŸ“¦ 1.7K Β· ⏱️ 25.04.2025): 
pip install pytorch-lightning
- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (πŸ“₯ 1.6M Β· ⏱️ 28.04.2025): 
conda install -c conda-forge pytorch-lightning
StatsModels (πŸ₯ˆ43 Β· ⭐ 11K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 - [GitHub](https://github.com/statsmodels/statsmodels) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 3.1K Β· πŸ“₯ 35 Β· πŸ“¦ 170K Β· πŸ“‹ 5.7K - 50% open Β· ⏱️ 23.05.2025): 
git clone https://github.com/statsmodels/statsmodels
- [PyPi](https://pypi.org/project/statsmodels) (πŸ“₯ 18M / month Β· πŸ“¦ 4.5K Β· ⏱️ 03.10.2024): 
pip install statsmodels
- [Conda](https://anaconda.org/conda-forge/statsmodels) (πŸ“₯ 19M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge statsmodels
LightGBM (πŸ₯ˆ42 Β· ⭐ 17K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT - [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 3.9K Β· πŸ“₯ 290K Β· πŸ“¦ 54K Β· πŸ“‹ 3.6K - 12% open Β· ⏱️ 27.05.2025): 
git clone https://github.com/microsoft/LightGBM
- [PyPi](https://pypi.org/project/lightgbm) (πŸ“₯ 11M / month Β· πŸ“¦ 1.4K Β· ⏱️ 15.02.2025): 
pip install lightgbm
- [Conda](https://anaconda.org/conda-forge/lightgbm) (πŸ“₯ 3.6M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge lightgbm
Catboost (πŸ₯ˆ42 Β· ⭐ 8.4K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2 - [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 1.2K Β· πŸ“₯ 390K Β· πŸ“¦ 18 Β· πŸ“‹ 2.4K - 25% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/catboost/catboost
- [PyPi](https://pypi.org/project/catboost) (πŸ“₯ 2.7M / month Β· πŸ“¦ 650 Β· ⏱️ 13.04.2025): 
pip install catboost
- [Conda](https://anaconda.org/conda-forge/catboost) (πŸ“₯ 2M Β· ⏱️ 19.05.2025): 
conda install -c conda-forge catboost
Fastai (πŸ₯ˆ41 Β· ⭐ 27K) - The fastai deep learning library. Apache-2 - [GitHub](https://github.com/fastai/fastai) (πŸ‘¨β€πŸ’» 670 Β· πŸ”€ 7.6K Β· πŸ“¦ 23K Β· πŸ“‹ 1.8K - 13% open Β· ⏱️ 24.05.2025): 
git clone https://github.com/fastai/fastai
- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 660K / month Β· πŸ“¦ 330 Β· ⏱️ 24.05.2025): 
pip install fastai
PyFlink (πŸ₯ˆ40 Β· ⭐ 25K) - Apache Flink Python API. Apache-2 - [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 2K Β· πŸ”€ 14K Β· πŸ“¦ 21 Β· ⏱️ 29.05.2025): 
git clone https://github.com/apache/flink
- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 4.5M / month Β· πŸ“¦ 35 Β· ⏱️ 12.02.2025): 
pip install apache-flink
einops (πŸ₯ˆ37 Β· ⭐ 8.9K) - Flexible and powerful tensor operations for readable and reliable code.. MIT - [GitHub](https://github.com/arogozhnikov/einops) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 360 Β· πŸ“¦ 77K Β· πŸ“‹ 200 - 17% open Β· ⏱️ 25.04.2025): 
git clone https://github.com/arogozhnikov/einops
- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 9.5M / month Β· πŸ“¦ 2.6K Β· ⏱️ 09.02.2025): 
pip install einops
- [Conda](https://anaconda.org/conda-forge/einops) (πŸ“₯ 390K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge einops
Flax (πŸ₯ˆ37 Β· ⭐ 6.6K) - Flax is a neural network library for JAX that is designed for.. Apache-2 - [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 690 Β· πŸ“₯ 61 Β· πŸ“¦ 15K Β· πŸ“‹ 1.2K - 33% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/google/flax
- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 1.4M / month Β· πŸ“¦ 610 Β· ⏱️ 23.04.2025): 
pip install flax
- [Conda](https://anaconda.org/conda-forge/flax) (πŸ“₯ 100K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge flax
Ignite (πŸ₯ˆ37 Β· ⭐ 4.7K) - High-level library to help with training and evaluating neural.. BSD-3 - [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 870 Β· πŸ”€ 650 Β· πŸ“¦ 3.8K Β· πŸ“‹ 1.4K - 10% open Β· ⏱️ 07.05.2025): 
git clone https://github.com/pytorch/ignite
- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 170K / month Β· πŸ“¦ 110 Β· ⏱️ 29.05.2025): 
pip install pytorch-ignite
- [Conda](https://anaconda.org/pytorch/ignite) (πŸ“₯ 230K Β· ⏱️ 30.03.2025): 
conda install -c pytorch ignite
Jina (πŸ₯ˆ35 Β· ⭐ 22K) - Build multimodal AI applications with cloud-native stack. Apache-2 - [GitHub](https://github.com/jina-ai/serve) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 2.2K Β· πŸ“‹ 1.9K - 0% open Β· ⏱️ 24.03.2025): 
git clone https://github.com/jina-ai/jina
- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 39K / month Β· πŸ“¦ 29 Β· ⏱️ 24.03.2025): 
pip install jina
- [Conda](https://anaconda.org/conda-forge/jina-core) (πŸ“₯ 96K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge jina-core
- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (πŸ“₯ 1.8M Β· ⭐ 8 Β· ⏱️ 24.03.2025): 
docker pull jinaai/jina
Thinc (πŸ₯ˆ34 Β· ⭐ 2.8K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT - [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 280 Β· πŸ“₯ 1.3K Β· πŸ“¦ 69K Β· πŸ“‹ 150 - 12% open Β· ⏱️ 07.03.2025): 
git clone https://github.com/explosion/thinc
- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 17M / month Β· πŸ“¦ 160 Β· ⏱️ 04.04.2025): 
pip install thinc
- [Conda](https://anaconda.org/conda-forge/thinc) (πŸ“₯ 3.5M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge thinc
ivy (πŸ₯ˆ33 Β· ⭐ 14K) - Convert Machine Learning Code Between Frameworks. Apache-2 - [GitHub](https://github.com/ivy-llc/ivy) (πŸ‘¨β€πŸ’» 1.5K Β· πŸ”€ 5.7K Β· πŸ“‹ 17K - 5% open Β· ⏱️ 29.04.2025): 
git clone https://github.com/unifyai/ivy
- [PyPi](https://pypi.org/project/ivy) (πŸ“₯ 19K / month Β· πŸ“¦ 16 Β· ⏱️ 21.02.2025): 
pip install ivy
Vowpal Wabbit (πŸ₯ˆ33 Β· ⭐ 8.6K Β· πŸ’€) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3 - [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 1.9K Β· πŸ“¦ 2 Β· πŸ“‹ 1.3K - 10% open Β· ⏱️ 01.08.2024): 
git clone https://github.com/VowpalWabbit/vowpal_wabbit
- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 20K / month Β· πŸ“¦ 40 Β· ⏱️ 08.08.2024): 
pip install vowpalwabbit
- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (πŸ“₯ 360K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge vowpalwabbit
mlpack (πŸ₯ˆ33 Β· ⭐ 5.4K) - mlpack: a fast, header-only C++ machine learning library. BSD-3 - [GitHub](https://github.com/mlpack/mlpack) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 1.7K Β· πŸ“‹ 1.7K - 1% open Β· ⏱️ 23.05.2025): 
git clone https://github.com/mlpack/mlpack
- [PyPi](https://pypi.org/project/mlpack) (πŸ“₯ 3.8K / month Β· πŸ“¦ 6 Β· ⏱️ 22.05.2025): 
pip install mlpack
- [Conda](https://anaconda.org/conda-forge/mlpack) (πŸ“₯ 360K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge mlpack
Ludwig (πŸ₯‰32 Β· ⭐ 11K Β· πŸ’€) - Low-code framework for building custom LLMs, neural networks,.. Apache-2 - [GitHub](https://github.com/ludwig-ai/ludwig) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.2K Β· πŸ“¦ 310 Β· πŸ“‹ 1.1K - 4% open Β· ⏱️ 17.10.2024): 
git clone https://github.com/ludwig-ai/ludwig
- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 1.5K / month Β· πŸ“¦ 6 Β· ⏱️ 30.07.2024): 
pip install ludwig
Sonnet (πŸ₯‰32 Β· ⭐ 9.9K) - TensorFlow-based neural network library. Apache-2 - [GitHub](https://github.com/google-deepmind/sonnet) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 1.3K Β· πŸ“¦ 1.4K Β· πŸ“‹ 190 - 16% open Β· ⏱️ 14.02.2025): 
git clone https://github.com/deepmind/sonnet
- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 19K / month Β· πŸ“¦ 19 Β· ⏱️ 02.01.2024): 
pip install dm-sonnet
- [Conda](https://anaconda.org/conda-forge/sonnet) (πŸ“₯ 43K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge sonnet
skorch (πŸ₯‰32 Β· ⭐ 6K) - A scikit-learn compatible neural network library that wraps.. BSD-3 - [GitHub](https://github.com/skorch-dev/skorch) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 390 Β· πŸ“¦ 1.7K Β· πŸ“‹ 540 - 12% open Β· ⏱️ 24.04.2025): 
git clone https://github.com/skorch-dev/skorch
- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 110K / month Β· πŸ“¦ 94 Β· ⏱️ 10.01.2025): 
pip install skorch
- [Conda](https://anaconda.org/conda-forge/skorch) (πŸ“₯ 800K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge skorch
tensorflow-upstream (πŸ₯‰32 Β· ⭐ 690) - TensorFlow ROCm port. Apache-2 - [GitHub](https://github.com/ROCm/tensorflow-upstream) (πŸ‘¨β€πŸ’» 4.9K Β· πŸ”€ 100 Β· πŸ“₯ 29 Β· πŸ“‹ 390 - 4% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream
- [PyPi](https://pypi.org/project/tensorflow-rocm) (πŸ“₯ 12K / month Β· πŸ“¦ 9 Β· ⏱️ 10.01.2024): 
pip install tensorflow-rocm
Haiku (πŸ₯‰31 Β· ⭐ 3K) - JAX-based neural network library. Apache-2 - [GitHub](https://github.com/google-deepmind/dm-haiku) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 240 Β· πŸ“¦ 2.5K Β· πŸ“‹ 250 - 29% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/deepmind/dm-haiku
- [PyPi](https://pypi.org/project/dm-haiku) (πŸ“₯ 200K / month Β· πŸ“¦ 190 Β· ⏱️ 22.04.2025): 
pip install dm-haiku
- [Conda](https://anaconda.org/conda-forge/dm-haiku) (πŸ“₯ 35K Β· ⏱️ 23.04.2025): 
conda install -c conda-forge dm-haiku
Determined (πŸ₯‰29 Β· ⭐ 3.1K) - Determined is an open-source machine learning platform.. Apache-2 - [GitHub](https://github.com/determined-ai/determined) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 360 Β· πŸ“₯ 13K Β· πŸ“‹ 450 - 22% open Β· ⏱️ 20.03.2025): 
git clone https://github.com/determined-ai/determined
- [PyPi](https://pypi.org/project/determined) (πŸ“₯ 210K / month Β· πŸ“¦ 4 Β· ⏱️ 19.03.2025): 
pip install determined
Geomstats (πŸ₯‰28 Β· ⭐ 1.4K) - Computations and statistics on manifolds with geometric structures. MIT - [GitHub](https://github.com/geomstats/geomstats) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 250 Β· πŸ“¦ 140 Β· πŸ“‹ 570 - 36% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/geomstats/geomstats
- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 5K / month Β· πŸ“¦ 12 Β· ⏱️ 09.09.2024): 
pip install geomstats
- [Conda](https://anaconda.org/conda-forge/geomstats) (πŸ“₯ 6.6K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge geomstats
NuPIC (πŸ₯‰27 Β· ⭐ 6.3K) - Numenta Platform for Intelligent Computing is an implementation of.. MIT - [GitHub](https://github.com/numenta/nupic-legacy) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.6K Β· πŸ“₯ 22 Β· πŸ“¦ 21 Β· πŸ“‹ 1.8K - 25% open Β· ⏱️ 03.12.2024): 
git clone https://github.com/numenta/nupic
- [PyPi](https://pypi.org/project/nupic) (πŸ“₯ 570 / month Β· ⏱️ 01.09.2016): 
pip install nupic
pyRiemann (πŸ₯‰27 Β· ⭐ 680) - Machine learning for multivariate data through the Riemannian.. BSD-3 - [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 170 Β· πŸ“¦ 470 Β· πŸ“‹ 110 - 2% open Β· ⏱️ 26.05.2025): 
git clone https://github.com/pyRiemann/pyRiemann
- [PyPi](https://pypi.org/project/pyriemann) (πŸ“₯ 50K / month Β· πŸ“¦ 28 Β· ⏱️ 12.02.2025): 
pip install pyriemann
- [Conda](https://anaconda.org/conda-forge/pyriemann) (πŸ“₯ 13K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pyriemann
Neural Network Libraries (πŸ₯‰26 Β· ⭐ 2.7K) - Neural Network Libraries. Apache-2 - [GitHub](https://github.com/sony/nnabla) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 330 Β· πŸ“₯ 1K Β· πŸ“‹ 95 - 36% open Β· ⏱️ 15.11.2024): 
git clone https://github.com/sony/nnabla
- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 4.3K / month Β· πŸ“¦ 44 Β· ⏱️ 29.05.2024): 
pip install nnabla
ktrain (πŸ₯‰26 Β· ⭐ 1.3K Β· πŸ’€) - ktrain is a Python library that makes deep learning and AI.. Apache-2 - [GitHub](https://github.com/amaiya/ktrain) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 270 Β· πŸ“¦ 580 Β· πŸ“‹ 500 - 0% open Β· ⏱️ 09.07.2024): 
git clone https://github.com/amaiya/ktrain
- [PyPi](https://pypi.org/project/ktrain) (πŸ“₯ 4.2K / month Β· πŸ“¦ 4 Β· ⏱️ 19.06.2024): 
pip install ktrain
Towhee (πŸ₯‰23 Β· ⭐ 3.4K Β· πŸ’€) - Towhee is a framework that is dedicated to making neural data.. Apache-2 - [GitHub](https://github.com/towhee-io/towhee) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 260 Β· πŸ“₯ 2.7K Β· πŸ“‹ 670 - 0% open Β· ⏱️ 18.10.2024): 
git clone https://github.com/towhee-io/towhee
- [PyPi](https://pypi.org/project/towhee) (πŸ“₯ 3.1K / month Β· ⏱️ 04.12.2023): 
pip install towhee
fklearn (πŸ₯‰23 Β· ⭐ 1.5K) - fklearn: Functional Machine Learning. Apache-2 - [GitHub](https://github.com/nubank/fklearn) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 170 Β· πŸ“¦ 16 Β· πŸ“‹ 64 - 60% open Β· ⏱️ 23.04.2025): 
git clone https://github.com/nubank/fklearn
- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 1K / month Β· ⏱️ 26.02.2025): 
pip install fklearn
Runhouse (πŸ₯‰22 Β· ⭐ 1K) - Distribute and run AI workloads magically in Python, like PyTorch for.. Apache-2 - [GitHub](https://github.com/run-house/runhouse) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 36 Β· πŸ“₯ 69 Β· πŸ“‹ 51 - 17% open Β· ⏱️ 27.05.2025): 
git clone https://github.com/run-house/runhouse
- [PyPi](https://pypi.org/project/runhouse) (πŸ“₯ 16K / month Β· πŸ“¦ 1 Β· ⏱️ 10.03.2025): 
pip install runhouse
chefboost (πŸ₯‰20 Β· ⭐ 480) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT - [GitHub](https://github.com/serengil/chefboost) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 100 Β· πŸ“¦ 71 Β· ⏱️ 31.03.2025): 
git clone https://github.com/serengil/chefboost
- [PyPi](https://pypi.org/project/chefboost) (πŸ“₯ 3K / month Β· ⏱️ 30.10.2024): 
pip install chefboost
NeoML (πŸ₯‰19 Β· ⭐ 780) - Machine learning framework for both deep learning and traditional.. Apache-2 - [GitHub](https://github.com/neoml-lib/neoml) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 130 Β· πŸ“¦ 2 Β· πŸ“‹ 91 - 40% open Β· ⏱️ 03.05.2025): 
git clone https://github.com/neoml-lib/neoml
- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 320 / month Β· ⏱️ 26.12.2023): 
pip install neoml
ThunderGBM (πŸ₯‰17 Β· ⭐ 700) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2 - [GitHub](https://github.com/Xtra-Computing/thundergbm) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 87 Β· πŸ“¦ 4 Β· πŸ“‹ 81 - 48% open Β· ⏱️ 19.03.2025): 
git clone https://github.com/Xtra-Computing/thundergbm
- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 120 / month Β· ⏱️ 19.09.2022): 
pip install thundergbm
Show 24 hidden projects... - dlib (πŸ₯ˆ40 Β· ⭐ 14K) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0 - MXNet (πŸ₯ˆ39 Β· ⭐ 21K Β· πŸ’€) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. Apache-2 - Theano (πŸ₯ˆ38 Β· ⭐ 9.9K Β· πŸ’€) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 - Chainer (πŸ₯ˆ34 Β· ⭐ 5.9K Β· πŸ’€) - A flexible framework of neural networks for deep learning. MIT - MindsDB (πŸ₯ˆ33 Β· ⭐ 31K) - AIs query engine - Platform for building AI that can answer.. ❗️ICU - tensorpack (πŸ₯ˆ33 Β· ⭐ 6.3K Β· πŸ’€) - A Neural Net Training Interface on TensorFlow, with.. Apache-2 - Turi Create (πŸ₯‰32 Β· ⭐ 11K Β· πŸ’€) - Turi Create simplifies the development of custom machine.. BSD-3 - TFlearn (πŸ₯‰31 Β· ⭐ 9.6K Β· πŸ’€) - Deep learning library featuring a higher-level API for TensorFlow. MIT - dyNET (πŸ₯‰31 Β· ⭐ 3.4K Β· πŸ’€) - DyNet: The Dynamic Neural Network Toolkit. Apache-2 - CNTK (πŸ₯‰29 Β· ⭐ 18K Β· πŸ’€) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT - Lasagne (πŸ₯‰28 Β· ⭐ 3.9K Β· πŸ’€) - Lightweight library to build and train neural networks in Theano. MIT - SHOGUN (πŸ₯‰27 Β· ⭐ 3K Β· πŸ’€) - Unified and efficient Machine Learning. BSD-3 - EvaDB (πŸ₯‰27 Β· ⭐ 2.7K Β· πŸ’€) - Database system for AI-powered apps. Apache-2 - xLearn (πŸ₯‰25 Β· ⭐ 3.1K Β· πŸ’€) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2 - NeuPy (πŸ₯‰25 Β· ⭐ 740 Β· πŸ’€) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT - neon (πŸ₯‰23 Β· ⭐ 3.9K Β· πŸ’€) - Intel Nervana reference deep learning framework committed to best.. Apache-2 - ThunderSVM (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2 - mace (πŸ₯‰21 Β· ⭐ 5K Β· πŸ’€) - MACE is a deep learning inference framework optimized for mobile.. Apache-2 - Neural Tangents (πŸ₯‰21 Β· ⭐ 2.3K Β· πŸ’€) - Fast and Easy Infinite Neural Networks in Python. Apache-2 - Torchbearer (πŸ₯‰21 Β· ⭐ 640 Β· πŸ’€) - torchbearer: A model fitting library for PyTorch. MIT - Objax (πŸ₯‰19 Β· ⭐ 770 Β· πŸ’€) - Objax is a machine learning framework that provides an Object.. Apache-2 - elegy (πŸ₯‰19 Β· ⭐ 480 Β· πŸ’€) - A High Level API for Deep Learning in JAX. MIT - StarSpace (πŸ₯‰16 Β· ⭐ 4K Β· πŸ’€) - Learning embeddings for classification, retrieval and ranking. MIT - nanodl (πŸ₯‰13 Β· ⭐ 290 Β· πŸ’€) - A Jax-based library for building transformers, includes.. MIT


Data Visualization

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General-purpose and task-specific data visualization libraries.

Matplotlib (πŸ₯‡49 Β· ⭐ 21K) - matplotlib: plotting with Python. ❗Unlicensed - [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.8K Β· πŸ”€ 7.9K Β· πŸ“¦ 1.8M Β· πŸ“‹ 11K - 14% open Β· ⏱️ 28.05.2025): 
git clone https://github.com/matplotlib/matplotlib
- [PyPi](https://pypi.org/project/matplotlib) (πŸ“₯ 88M / month Β· πŸ“¦ 60K Β· ⏱️ 08.05.2025): 
pip install matplotlib
- [Conda](https://anaconda.org/conda-forge/matplotlib) (πŸ“₯ 30M Β· ⏱️ 15.05.2025): 
conda install -c conda-forge matplotlib
Plotly (πŸ₯‡47 Β· ⭐ 17K Β· πŸ“ˆ) - The interactive graphing library for Python. MIT - [GitHub](https://github.com/plotly/plotly.py) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 2.6K Β· πŸ“₯ 260 Β· πŸ“¦ 440K Β· πŸ“‹ 3.2K - 20% open Β· ⏱️ 27.05.2025): 
git clone https://github.com/plotly/plotly.py
- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 24M / month Β· πŸ“¦ 8.3K Β· ⏱️ 27.05.2025): 
pip install plotly
- [Conda](https://anaconda.org/conda-forge/plotly) (πŸ“₯ 9.6M Β· ⏱️ 27.05.2025): 
conda install -c conda-forge plotly
- [npm](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 32K / month Β· πŸ“¦ 9 Β· ⏱️ 12.01.2021): 
npm install plotlywidget
dash (πŸ₯‡46 Β· ⭐ 23K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT - [GitHub](https://github.com/plotly/dash) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 2.1K Β· πŸ“₯ 88 Β· πŸ“¦ 87K Β· πŸ“‹ 2K - 27% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/plotly/dash
- [PyPi](https://pypi.org/project/dash) (πŸ“₯ 5.1M / month Β· πŸ“¦ 1.6K Β· ⏱️ 24.04.2025): 
pip install dash
- [Conda](https://anaconda.org/conda-forge/dash) (πŸ“₯ 1.8M Β· ⏱️ 27.04.2025): 
conda install -c conda-forge dash
Bokeh (πŸ₯‡45 Β· ⭐ 20K) - Interactive Data Visualization in the browser, from Python. BSD-3 - [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 710 Β· πŸ”€ 4.2K Β· πŸ“¦ 100K Β· πŸ“‹ 8K - 10% open Β· ⏱️ 28.05.2025): 
git clone https://github.com/bokeh/bokeh
- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 3.6M / month Β· πŸ“¦ 2K Β· ⏱️ 12.05.2025): 
pip install bokeh
- [Conda](https://anaconda.org/conda-forge/bokeh) (πŸ“₯ 17M Β· ⏱️ 12.05.2025): 
conda install -c conda-forge bokeh
Seaborn (πŸ₯‡43 Β· ⭐ 13K) - Statistical data visualization in Python. BSD-3 - [GitHub](https://github.com/mwaskom/seaborn) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 1.9K Β· πŸ“₯ 480 Β· πŸ“¦ 680K Β· πŸ“‹ 2.6K - 6% open Β· ⏱️ 26.01.2025): 
git clone https://github.com/mwaskom/seaborn
- [PyPi](https://pypi.org/project/seaborn) (πŸ“₯ 24M / month Β· πŸ“¦ 11K Β· ⏱️ 25.01.2024): 
pip install seaborn
- [Conda](https://anaconda.org/conda-forge/seaborn) (πŸ“₯ 13M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge seaborn
Altair (πŸ₯‡40 Β· ⭐ 9.8K) - Declarative visualization library for Python. BSD-3 - [GitHub](https://github.com/vega/altair) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 800 Β· πŸ“₯ 230 Β· πŸ“¦ 240K Β· πŸ“‹ 2.1K - 6% open Β· ⏱️ 23.05.2025): 
git clone https://github.com/altair-viz/altair
- [PyPi](https://pypi.org/project/altair) (πŸ“₯ 29M / month Β· πŸ“¦ 920 Β· ⏱️ 23.11.2024): 
pip install altair
- [Conda](https://anaconda.org/conda-forge/altair) (πŸ“₯ 2.7M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge altair
FiftyOne (πŸ₯ˆ39 Β· ⭐ 9.5K) - Visualize, create, and debug image and video datasets.. Apache-2 - [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 630 Β· πŸ“¦ 990 Β· πŸ“‹ 1.7K - 33% open Β· ⏱️ 28.05.2025): 
git clone https://github.com/voxel51/fiftyone
- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 100K / month Β· πŸ“¦ 27 Β· ⏱️ 09.05.2025): 
pip install fiftyone
pandas-profiling (πŸ₯ˆ38 Β· ⭐ 13K) - 1 Line of code data quality profiling & exploratory.. MIT - [GitHub](https://github.com/ydataai/ydata-profiling) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.7K Β· πŸ“₯ 320 Β· πŸ“¦ 6.7K Β· πŸ“‹ 840 - 30% open Β· ⏱️ 26.03.2025): 
git clone https://github.com/ydataai/pandas-profiling
- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 350K / month Β· πŸ“¦ 180 Β· ⏱️ 03.02.2023): 
pip install pandas-profiling
- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (πŸ“₯ 510K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pandas-profiling
PyVista (πŸ₯ˆ38 Β· ⭐ 3.1K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT - [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 560 Β· πŸ“₯ 930 Β· πŸ“¦ 4.9K Β· πŸ“‹ 1.9K - 36% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/pyvista/pyvista
- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 490K / month Β· πŸ“¦ 710 Β· ⏱️ 13.05.2025): 
pip install pyvista
- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 690K Β· ⏱️ 13.05.2025): 
conda install -c conda-forge pyvista
HoloViews (πŸ₯ˆ38 Β· ⭐ 2.8K) - With Holoviews, your data visualizes itself. BSD-3 - [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 410 Β· πŸ“¦ 16K Β· πŸ“‹ 3.4K - 32% open Β· ⏱️ 23.05.2025): 
git clone https://github.com/holoviz/holoviews
- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 510K / month Β· πŸ“¦ 440 Β· ⏱️ 23.05.2025): 
pip install holoviews
- [Conda](https://anaconda.org/conda-forge/holoviews) (πŸ“₯ 2.1M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge holoviews
- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 130 / month Β· πŸ“¦ 5 Β· ⏱️ 14.01.2025): 
npm install @pyviz/jupyterlab_pyviz
pyecharts (πŸ₯ˆ37 Β· ⭐ 15K) - Python Echarts Plotting Library. MIT - [GitHub](https://github.com/pyecharts/pyecharts) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 2.9K Β· πŸ“₯ 73 Β· πŸ“¦ 5.4K Β· πŸ“‹ 1.9K - 0% open Β· ⏱️ 26.01.2025): 
git clone https://github.com/pyecharts/pyecharts
- [PyPi](https://pypi.org/project/pyecharts) (πŸ“₯ 260K / month Β· πŸ“¦ 220 Β· ⏱️ 24.01.2025): 
pip install pyecharts
PyQtGraph (πŸ₯ˆ37 Β· ⭐ 4.1K) - Fast data visualization and GUI tools for scientific / engineering.. MIT - [GitHub](https://github.com/pyqtgraph/pyqtgraph) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.1K Β· πŸ“¦ 13K Β· πŸ“‹ 1.4K - 32% open Β· ⏱️ 08.04.2025): 
git clone https://github.com/pyqtgraph/pyqtgraph
- [PyPi](https://pypi.org/project/pyqtgraph) (πŸ“₯ 410K / month Β· πŸ“¦ 1K Β· ⏱️ 29.04.2024): 
pip install pyqtgraph
- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (πŸ“₯ 710K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pyqtgraph
Graphviz (πŸ₯ˆ37 Β· ⭐ 1.7K Β· πŸ’€) - Simple Python interface for Graphviz. MIT - [GitHub](https://github.com/xflr6/graphviz) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 210 Β· πŸ“¦ 91K Β· πŸ“‹ 190 - 6% open Β· ⏱️ 13.05.2024): 
git clone https://github.com/xflr6/graphviz
- [PyPi](https://pypi.org/project/graphviz) (πŸ“₯ 25M / month Β· πŸ“¦ 2.9K Β· ⏱️ 21.03.2024): 
pip install graphviz
- [Conda](https://anaconda.org/anaconda/python-graphviz) (πŸ“₯ 55K Β· ⏱️ 22.04.2025): 
conda install -c anaconda python-graphviz
plotnine (πŸ₯ˆ36 Β· ⭐ 4.2K) - A Grammar of Graphics for Python. MIT - [GitHub](https://github.com/has2k1/plotnine) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 230 Β· πŸ“¦ 12K Β· πŸ“‹ 720 - 10% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/has2k1/plotnine
- [PyPi](https://pypi.org/project/plotnine) (πŸ“₯ 2.3M / month Β· πŸ“¦ 380 Β· ⏱️ 19.05.2025): 
pip install plotnine
- [Conda](https://anaconda.org/conda-forge/plotnine) (πŸ“₯ 470K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge plotnine
VisPy (πŸ₯ˆ35 Β· ⭐ 3.4K) - High-performance interactive 2D/3D data visualization library. BSD-3 - [GitHub](https://github.com/vispy/vispy) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 620 Β· πŸ“¦ 2K Β· πŸ“‹ 1.5K - 25% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/vispy/vispy
- [PyPi](https://pypi.org/project/vispy) (πŸ“₯ 170K / month Β· πŸ“¦ 200 Β· ⏱️ 19.05.2025): 
pip install vispy
- [Conda](https://anaconda.org/conda-forge/vispy) (πŸ“₯ 820K Β· ⏱️ 19.05.2025): 
conda install -c conda-forge vispy
- [npm](https://www.npmjs.com/package/vispy) (πŸ“₯ 33 / month Β· πŸ“¦ 3 Β· ⏱️ 15.03.2020): 
npm install vispy
cartopy (πŸ₯ˆ35 Β· ⭐ 1.5K) - Cartopy - a cartographic python library with matplotlib support. BSD-3 - [GitHub](https://github.com/SciTools/cartopy) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 380 Β· πŸ“¦ 7.7K Β· πŸ“‹ 1.3K - 23% open Β· ⏱️ 27.05.2025): 
git clone https://github.com/SciTools/cartopy
- [PyPi](https://pypi.org/project/cartopy) (πŸ“₯ 530K / month Β· πŸ“¦ 720 Β· ⏱️ 08.10.2024): 
pip install cartopy
- [Conda](https://anaconda.org/conda-forge/cartopy) (πŸ“₯ 4.8M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge cartopy
Perspective (πŸ₯ˆ34 Β· ⭐ 9.2K) - A data visualization and analytics component, especially.. Apache-2 - [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.2K Β· πŸ“₯ 11K Β· πŸ“¦ 180 Β· πŸ“‹ 880 - 12% open Β· ⏱️ 27.05.2025): 
git clone https://github.com/finos/perspective
- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 15K / month Β· πŸ“¦ 30 Β· ⏱️ 01.05.2025): 
pip install perspective-python
- [Conda](https://anaconda.org/conda-forge/perspective) (πŸ“₯ 2.1M Β· ⏱️ 07.05.2025): 
conda install -c conda-forge perspective
- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 280 / month Β· πŸ“¦ 6 Β· ⏱️ 01.05.2025): 
npm install @finos/perspective-jupyterlab
UMAP (πŸ₯ˆ33 Β· ⭐ 7.8K) - Uniform Manifold Approximation and Projection. BSD-3 - [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 830 Β· πŸ“¦ 1 Β· πŸ“‹ 850 - 59% open Β· ⏱️ 12.05.2025): 
git clone https://github.com/lmcinnes/umap
- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 1.5M / month Β· πŸ“¦ 1.1K Β· ⏱️ 28.10.2024): 
pip install umap-learn
- [Conda](https://anaconda.org/conda-forge/umap-learn) (πŸ“₯ 3M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge umap-learn
datashader (πŸ₯ˆ33 Β· ⭐ 3.4K) - Quickly and accurately render even the largest data. BSD-3 - [GitHub](https://github.com/holoviz/datashader) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 370 Β· πŸ“¦ 6.1K Β· πŸ“‹ 600 - 23% open Β· ⏱️ 08.05.2025): 
git clone https://github.com/holoviz/datashader
- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 180K / month Β· πŸ“¦ 250 Β· ⏱️ 08.05.2025): 
pip install datashader
- [Conda](https://anaconda.org/conda-forge/datashader) (πŸ“₯ 1.5M Β· ⏱️ 08.05.2025): 
conda install -c conda-forge datashader
lets-plot (πŸ₯ˆ33 Β· ⭐ 1.7K) - Multiplatform plotting library based on the Grammar of Graphics. MIT - [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 53 Β· πŸ“₯ 3.2K Β· πŸ“¦ 190 Β· πŸ“‹ 690 - 23% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/JetBrains/lets-plot
- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 130K / month Β· πŸ“¦ 15 Β· ⏱️ 28.03.2025): 
pip install lets-plot
wordcloud (πŸ₯ˆ32 Β· ⭐ 10K) - A little word cloud generator in Python. MIT - [GitHub](https://github.com/amueller/word_cloud) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 2.3K Β· πŸ“¦ 21 Β· πŸ“‹ 560 - 24% open Β· ⏱️ 12.04.2025): 
git clone https://github.com/amueller/word_cloud
- [PyPi](https://pypi.org/project/wordcloud) (πŸ“₯ 1.8M / month Β· πŸ“¦ 550 Β· ⏱️ 10.11.2024): 
pip install wordcloud
- [Conda](https://anaconda.org/conda-forge/wordcloud) (πŸ“₯ 670K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge wordcloud
hvPlot (πŸ₯ˆ32 Β· ⭐ 1.2K) - A high-level plotting API for pandas, dask, xarray, and networkx built.. BSD-3 - [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 110 Β· πŸ“¦ 7.1K Β· πŸ“‹ 910 - 42% open Β· ⏱️ 27.05.2025): 
git clone https://github.com/holoviz/hvplot
- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 220K / month Β· πŸ“¦ 240 Β· ⏱️ 30.04.2025): 
pip install hvplot
- [Conda](https://anaconda.org/conda-forge/hvplot) (πŸ“₯ 770K Β· ⏱️ 01.05.2025): 
conda install -c conda-forge hvplot
mpld3 (πŸ₯‰31 Β· ⭐ 2.4K Β· πŸ’€) - An interactive data visualization tool which brings matplotlib.. BSD-3 - [GitHub](https://github.com/mpld3/mpld3) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 360 Β· πŸ“¦ 7.4K Β· πŸ“‹ 370 - 59% open Β· ⏱️ 30.10.2024): 
git clone https://github.com/mpld3/mpld3
- [PyPi](https://pypi.org/project/mpld3) (πŸ“₯ 350K / month Β· πŸ“¦ 150 Β· ⏱️ 23.12.2023): 
pip install mpld3
- [Conda](https://anaconda.org/conda-forge/mpld3) (πŸ“₯ 230K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge mpld3
- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 1.2K / month Β· πŸ“¦ 9 Β· ⏱️ 23.12.2023): 
npm install mpld3
D-Tale (πŸ₯‰30 Β· ⭐ 4.9K) - Visualizer for pandas data structures. ❗️LGPL-2.1 - [GitHub](https://github.com/man-group/dtale) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 420 Β· πŸ“¦ 1.5K Β· πŸ“‹ 610 - 11% open Β· ⏱️ 20.03.2025): 
git clone https://github.com/man-group/dtale
- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 130K / month Β· πŸ“¦ 53 Β· ⏱️ 20.03.2025): 
pip install dtale
- [Conda](https://anaconda.org/conda-forge/dtale) (πŸ“₯ 430K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge dtale
bqplot (πŸ₯‰30 Β· ⭐ 3.7K Β· πŸ’€) - Plotting library for IPython/Jupyter notebooks. Apache-2 - [GitHub](https://github.com/bqplot/bqplot) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 470 Β· πŸ“¦ 61 Β· πŸ“‹ 640 - 42% open Β· ⏱️ 22.10.2024): 
git clone https://github.com/bqplot/bqplot
- [PyPi](https://pypi.org/project/bqplot) (πŸ“₯ 220K / month Β· πŸ“¦ 110 Β· ⏱️ 21.05.2025): 
pip install bqplot
- [Conda](https://anaconda.org/conda-forge/bqplot) (πŸ“₯ 1.6M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge bqplot
- [npm](https://www.npmjs.com/package/bqplot) (πŸ“₯ 1.2K / month Β· πŸ“¦ 21 Β· ⏱️ 24.12.2024): 
npm install bqplot
HyperTools (πŸ₯‰27 Β· ⭐ 1.9K) - A Python toolbox for gaining geometric insights into high-dimensional.. MIT - [GitHub](https://github.com/ContextLab/hypertools) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 160 Β· πŸ“₯ 71 Β· πŸ“¦ 510 Β· πŸ“‹ 200 - 34% open Β· ⏱️ 24.04.2025): 
git clone https://github.com/ContextLab/hypertools
- [PyPi](https://pypi.org/project/hypertools) (πŸ“₯ 270 / month Β· πŸ“¦ 2 Β· ⏱️ 12.02.2022): 
pip install hypertools
AutoViz (πŸ₯‰27 Β· ⭐ 1.8K Β· πŸ’€) - Automatically Visualize any dataset, any size with a single line.. Apache-2 - [GitHub](https://github.com/AutoViML/AutoViz) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 200 Β· πŸ“¦ 880 Β· πŸ“‹ 98 - 2% open Β· ⏱️ 10.06.2024): 
git clone https://github.com/AutoViML/AutoViz
- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 14K / month Β· πŸ“¦ 11 Β· ⏱️ 10.06.2024): 
pip install autoviz
- [Conda](https://anaconda.org/conda-forge/autoviz) (πŸ“₯ 87K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge autoviz
Plotly-Resampler (πŸ₯‰27 Β· ⭐ 1.1K) - Visualize large time series data with plotly.py. MIT - [GitHub](https://github.com/predict-idlab/plotly-resampler) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 73 Β· πŸ“¦ 2K Β· πŸ“‹ 180 - 32% open Β· ⏱️ 07.04.2025): 
git clone https://github.com/predict-idlab/plotly-resampler
- [PyPi](https://pypi.org/project/plotly-resampler) (πŸ“₯ 460K / month Β· πŸ“¦ 31 Β· ⏱️ 07.04.2025): 
pip install plotly-resampler
- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (πŸ“₯ 110K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge plotly-resampler
openTSNE (πŸ₯‰26 Β· ⭐ 1.5K) - Extensible, parallel implementations of t-SNE. BSD-3 - [GitHub](https://github.com/pavlin-policar/openTSNE) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 170 Β· πŸ“¦ 1.1K Β· πŸ“‹ 140 - 9% open Β· ⏱️ 27.05.2025): 
git clone https://github.com/pavlin-policar/openTSNE
- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 37K / month Β· πŸ“¦ 47 Β· ⏱️ 13.08.2024): 
pip install opentsne
- [Conda](https://anaconda.org/conda-forge/opentsne) (πŸ“₯ 440K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge opentsne
Chartify (πŸ₯‰25 Β· ⭐ 3.6K Β· πŸ’€) - Python library that makes it easy for data scientists to create.. Apache-2 - [GitHub](https://github.com/spotify/chartify) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 320 Β· πŸ“¦ 83 Β· πŸ“‹ 83 - 61% open Β· ⏱️ 16.10.2024): 
git clone https://github.com/spotify/chartify
- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 1.1K / month Β· πŸ“¦ 9 Β· ⏱️ 16.10.2024): 
pip install chartify
- [Conda](https://anaconda.org/conda-forge/chartify) (πŸ“₯ 38K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge chartify
data-validation (πŸ₯‰25 Β· ⭐ 770) - Library for exploring and validating machine learning.. Apache-2 - [GitHub](https://github.com/tensorflow/data-validation) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 180 Β· πŸ“₯ 980 Β· πŸ“‹ 190 - 20% open Β· ⏱️ 24.05.2025): 
git clone https://github.com/tensorflow/data-validation
- [PyPi](https://pypi.org/project/tensorflow-data-validation) (πŸ“₯ 140K / month Β· πŸ“¦ 31 Β· ⏱️ 15.10.2024): 
pip install tensorflow-data-validation
python-ternary (πŸ₯‰25 Β· ⭐ 760 Β· πŸ’€) - Ternary plotting library for python with matplotlib. MIT - [GitHub](https://github.com/marcharper/python-ternary) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 160 Β· πŸ“₯ 36 Β· πŸ“¦ 220 Β· πŸ“‹ 140 - 24% open Β· ⏱️ 12.06.2024): 
git clone https://github.com/marcharper/python-ternary
- [PyPi](https://pypi.org/project/python-ternary) (πŸ“₯ 16K / month Β· πŸ“¦ 32 Β· ⏱️ 17.02.2021): 
pip install python-ternary
- [Conda](https://anaconda.org/conda-forge/python-ternary) (πŸ“₯ 100K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge python-ternary
PyWaffle (πŸ₯‰22 Β· ⭐ 600 Β· πŸ’€) - Make Waffle Charts in Python. MIT - [GitHub](https://github.com/gyli/PyWaffle) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 110 Β· πŸ“¦ 540 Β· πŸ“‹ 22 - 27% open Β· ⏱️ 16.06.2024): 
git clone https://github.com/gyli/PyWaffle
- [PyPi](https://pypi.org/project/pywaffle) (πŸ“₯ 13K / month Β· πŸ“¦ 6 Β· ⏱️ 16.06.2024): 
pip install pywaffle
- [Conda](https://anaconda.org/conda-forge/pywaffle) (πŸ“₯ 16K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pywaffle
vega (πŸ₯‰22 Β· ⭐ 380) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3 - [GitHub](https://github.com/vega/ipyvega) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 65 Β· πŸ“¦ 4 Β· πŸ“‹ 110 - 14% open Β· ⏱️ 01.01.2025): 
git clone https://github.com/vega/ipyvega
- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 18K / month Β· πŸ“¦ 17 Β· ⏱️ 25.09.2024): 
pip install vega
- [Conda](https://anaconda.org/conda-forge/vega) (πŸ“₯ 740K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge vega
vegafusion (πŸ₯‰21 Β· ⭐ 360) - Serverside scaling for Vega and Altair visualizations. BSD-3 - [GitHub](https://github.com/vega/vegafusion) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 20 Β· πŸ“₯ 13K Β· πŸ“‹ 140 - 36% open Β· ⏱️ 23.02.2025): 
git clone https://github.com/vegafusion/vegafusion
- [PyPi](https://pypi.org/project/vegafusion-jupyter) (πŸ“₯ 1K / month Β· πŸ“¦ 2 Β· ⏱️ 09.05.2024): 
pip install vegafusion-jupyter
- [Conda](https://anaconda.org/conda-forge/vegafusion-python-embed) (πŸ“₯ 440K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge vegafusion-python-embed
- [npm](https://www.npmjs.com/package/vegafusion-jupyter) (πŸ“₯ 27 / month Β· πŸ“¦ 3 Β· ⏱️ 09.05.2024): 
npm install vegafusion-jupyter
Popmon (πŸ₯‰20 Β· ⭐ 500) - Monitor the stability of a Pandas or Spark dataframe. MIT - [GitHub](https://github.com/ing-bank/popmon) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 36 Β· πŸ“₯ 260 Β· πŸ“¦ 22 Β· πŸ“‹ 57 - 28% open Β· ⏱️ 24.01.2025): 
git clone https://github.com/ing-bank/popmon
- [PyPi](https://pypi.org/project/popmon) (πŸ“₯ 5K / month Β· πŸ“¦ 4 Β· ⏱️ 24.01.2025): 
pip install popmon
animatplot (πŸ₯‰19 Β· ⭐ 420 Β· πŸ’€) - A python package for animating plots build on matplotlib. MIT - [GitHub](https://github.com/t-makaro/animatplot) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 38 Β· πŸ“¦ 76 Β· πŸ“‹ 37 - 45% open Β· ⏱️ 29.08.2024): 
git clone https://github.com/t-makaro/animatplot
- [PyPi](https://pypi.org/project/animatplot) (πŸ“₯ 150 / month Β· πŸ“¦ 4 Β· ⏱️ 29.08.2024): 
pip install animatplot
- [Conda](https://anaconda.org/conda-forge/animatplot) (πŸ“₯ 17K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge animatplot
ivis (πŸ₯‰18 Β· ⭐ 330 Β· πŸ’€) - Dimensionality reduction in very large datasets using Siamese.. Apache-2 - [GitHub](https://github.com/beringresearch/ivis) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 44 Β· πŸ“¦ 38 Β· πŸ“‹ 60 - 5% open Β· ⏱️ 29.09.2024): 
git clone https://github.com/beringresearch/ivis
- [PyPi](https://pypi.org/project/ivis) (πŸ“₯ 680 / month Β· πŸ“¦ 2 Β· ⏱️ 13.06.2024): 
pip install ivis
Show 17 hidden projects... - missingno (πŸ₯‰30 Β· ⭐ 4.1K Β· πŸ’€) - Missing data visualization module for Python. MIT - Cufflinks (πŸ₯‰28 Β· ⭐ 3.1K Β· πŸ’€) - Productivity Tools for Plotly + Pandas. MIT - pythreejs (πŸ₯‰28 Β· ⭐ 970 Β· πŸ’€) - A Jupyter - Three.js bridge. BSD-3 - Facets Overview (πŸ₯‰27 Β· ⭐ 7.4K Β· πŸ’€) - Visualizations for machine learning datasets. Apache-2 - Sweetviz (πŸ₯‰27 Β· ⭐ 3K Β· πŸ’€) - Visualize and compare datasets, target values and associations, with.. MIT - HiPlot (πŸ₯‰25 Β· ⭐ 2.8K Β· πŸ’€) - HiPlot makes understanding high dimensional data easy. MIT - PandasGUI (πŸ₯‰24 Β· ⭐ 3.2K Β· πŸ’€) - A GUI for Pandas DataFrames. ❗️MIT-0 - Multicore-TSNE (πŸ₯‰24 Β· ⭐ 1.9K Β· πŸ’€) - Parallel t-SNE implementation with Python and Torch.. BSD-3 - ridgeplot (πŸ₯‰24 Β· ⭐ 230) - Beautiful ridgeline plots in Python. MIT - Pandas-Bokeh (πŸ₯‰22 Β· ⭐ 890 Β· πŸ’€) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT - pivottablejs (πŸ₯‰22 Β· ⭐ 700 Β· πŸ’€) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT - joypy (πŸ₯‰22 Β· ⭐ 590 Β· πŸ’€) - Joyplots in Python with matplotlib & pandas. MIT - PDPbox (πŸ₯‰21 Β· ⭐ 850 Β· πŸ’€) - python partial dependence plot toolbox. MIT - pdvega (πŸ₯‰16 Β· ⭐ 340 Β· πŸ’€) - Interactive plotting for Pandas using Vega-Lite. MIT - data-describe (πŸ₯‰15 Β· ⭐ 300 Β· πŸ’€) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2 - nx-altair (πŸ₯‰15 Β· ⭐ 220 Β· πŸ’€) - Draw interactive NetworkX graphs with Altair. MIT - nptsne (πŸ₯‰12 Β· ⭐ 33 Β· πŸ’€) - nptsne is a numpy compatible python binary package that offers a.. Apache-2


Text Data & NLP

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Libraries for processing, cleaning, manipulating, and analyzing text data as well as libraries for NLP tasks such as language detection, fuzzy matching, classification, seq2seq learning, conversational AI, keyword extraction, and translation.

transformers (πŸ₯‡54 Β· ⭐ 140K) - Transformers: State-of-the-art Machine Learning for.. Apache-2 - [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 3.3K Β· πŸ”€ 29K Β· πŸ“¦ 380K Β· πŸ“‹ 18K - 9% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/huggingface/transformers
- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 60M / month Β· πŸ“¦ 8.8K Β· ⏱️ 22.05.2025): 
pip install transformers
- [Conda](https://anaconda.org/conda-forge/transformers) (πŸ“₯ 2.9M Β· ⏱️ 22.05.2025): 
conda install -c conda-forge transformers
nltk (πŸ₯‡45 Β· ⭐ 14K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2 - [GitHub](https://github.com/nltk/nltk) (πŸ‘¨β€πŸ’» 470 Β· πŸ”€ 2.9K Β· πŸ“¦ 400K Β· πŸ“‹ 1.9K - 14% open Β· ⏱️ 02.05.2025): 
git clone https://github.com/nltk/nltk
- [PyPi](https://pypi.org/project/nltk) (πŸ“₯ 34M / month Β· πŸ“¦ 5.6K Β· ⏱️ 18.08.2024): 
pip install nltk
- [Conda](https://anaconda.org/conda-forge/nltk) (πŸ“₯ 3.2M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge nltk
spaCy (πŸ₯‡44 Β· ⭐ 32K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT - [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 770 Β· πŸ”€ 4.5K Β· πŸ“₯ 2.9K Β· πŸ“¦ 140K Β· πŸ“‹ 5.7K - 3% open Β· ⏱️ 28.05.2025): 
git clone https://github.com/explosion/spaCy
- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 18M / month Β· πŸ“¦ 3.2K Β· ⏱️ 23.05.2025): 
pip install spacy
- [Conda](https://anaconda.org/conda-forge/spacy) (πŸ“₯ 5.9M Β· ⏱️ 20.05.2025): 
conda install -c conda-forge spacy
litellm (πŸ₯‡43 Β· ⭐ 23K) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s - [GitHub](https://github.com/BerriAI/litellm) (πŸ‘¨β€πŸ’» 570 Β· πŸ”€ 3K Β· πŸ“₯ 640 Β· πŸ“¦ 14K Β· πŸ“‹ 5.9K - 21% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/BerriAI/litellm
- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 9.3M / month Β· πŸ“¦ 1.2K Β· ⏱️ 28.05.2025): 
pip install litellm
sentence-transformers (πŸ₯‡43 Β· ⭐ 17K) - State-of-the-Art Text Embeddings. Apache-2 - [GitHub](https://github.com/UKPLab/sentence-transformers) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 2.6K Β· πŸ“¦ 110K Β· πŸ“‹ 2.4K - 52% open Β· ⏱️ 23.05.2025): 
git clone https://github.com/UKPLab/sentence-transformers
- [PyPi](https://pypi.org/project/sentence-transformers) (πŸ“₯ 9.6M / month Β· πŸ“¦ 2.4K Β· ⏱️ 15.04.2025): 
pip install sentence-transformers
- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (πŸ“₯ 730K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge sentence-transformers
gensim (πŸ₯‡40 Β· ⭐ 16K) - Topic Modelling for Humans. ❗️LGPL-2.1 - [GitHub](https://github.com/piskvorky/gensim) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 4.4K Β· πŸ“₯ 6K Β· πŸ“¦ 76K Β· πŸ“‹ 1.9K - 21% open Β· ⏱️ 14.02.2025): 
git clone https://github.com/RaRe-Technologies/gensim
- [PyPi](https://pypi.org/project/gensim) (πŸ“₯ 5.1M / month Β· πŸ“¦ 1.4K Β· ⏱️ 19.07.2024): 
pip install gensim
- [Conda](https://anaconda.org/conda-forge/gensim) (πŸ“₯ 1.6M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge gensim
flair (πŸ₯‡40 Β· ⭐ 14K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT - [GitHub](https://github.com/flairNLP/flair) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 2.1K Β· πŸ“¦ 4K Β· πŸ“‹ 2.4K - 3% open Β· ⏱️ 27.04.2025): 
git clone https://github.com/flairNLP/flair
- [PyPi](https://pypi.org/project/flair) (πŸ“₯ 110K / month Β· πŸ“¦ 150 Β· ⏱️ 05.02.2025): 
pip install flair
- [Conda](https://anaconda.org/conda-forge/python-flair) (πŸ“₯ 43K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge python-flair
Tokenizers (πŸ₯‡40 Β· ⭐ 9.7K Β· πŸ“ˆ) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 - [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 880 Β· πŸ“₯ 75 Β· πŸ“¦ 170K Β· πŸ“‹ 1.1K - 7% open Β· ⏱️ 27.05.2025): 
git clone https://github.com/huggingface/tokenizers
- [PyPi](https://pypi.org/project/tokenizers) (πŸ“₯ 55M / month Β· πŸ“¦ 1.3K Β· ⏱️ 13.03.2025): 
pip install tokenizers
- [Conda](https://anaconda.org/conda-forge/tokenizers) (πŸ“₯ 3M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge tokenizers
Rasa (πŸ₯‡39 Β· ⭐ 20K) - Open source machine learning framework to automate text- and voice-.. Apache-2 - [GitHub](https://github.com/RasaHQ/rasa) (πŸ‘¨β€πŸ’» 590 Β· πŸ”€ 4.8K Β· πŸ“¦ 5.3K Β· πŸ“‹ 6.8K - 2% open Β· ⏱️ 14.01.2025): 
git clone https://github.com/RasaHQ/rasa
- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 130K / month Β· πŸ“¦ 60 Β· ⏱️ 14.01.2025): 
pip install rasa
haystack (πŸ₯‡38 Β· ⭐ 21K) - AI orchestration framework to build customizable, production-ready.. Apache-2 - [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 2.2K Β· πŸ“¦ 1.2K Β· πŸ“‹ 3.9K - 3% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/deepset-ai/haystack
- [PyPi](https://pypi.org/project/haystack) (πŸ“₯ 6.2K / month Β· πŸ“¦ 5 Β· ⏱️ 15.12.2021): 
pip install haystack
NeMo (πŸ₯‡38 Β· ⭐ 15K) - A scalable generative AI framework built for researchers and.. Apache-2 - [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 2.9K Β· πŸ“₯ 390K Β· πŸ“¦ 21 Β· πŸ“‹ 2.7K - 6% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/NVIDIA/NeMo
- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 190K / month Β· πŸ“¦ 14 Β· ⏱️ 25.05.2025): 
pip install nemo-toolkit
ChatterBot (πŸ₯‡38 Β· ⭐ 14K) - ChatterBot is a machine learning, conversational dialog engine for.. BSD-3 - [GitHub](https://github.com/gunthercox/ChatterBot) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 4.5K Β· πŸ“¦ 6.4K Β· πŸ“‹ 1.7K - 8% open Β· ⏱️ 20.05.2025): 
git clone https://github.com/gunthercox/ChatterBot
- [PyPi](https://pypi.org/project/chatterbot) (πŸ“₯ 23K / month Β· πŸ“¦ 18 Β· ⏱️ 05.04.2025): 
pip install chatterbot
sentencepiece (πŸ₯‡38 Β· ⭐ 11K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2 - [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 1.2K Β· πŸ“₯ 58K Β· πŸ“¦ 110K Β· πŸ“‹ 780 - 6% open Β· ⏱️ 26.02.2025): 
git clone https://github.com/google/sentencepiece
- [PyPi](https://pypi.org/project/sentencepiece) (πŸ“₯ 27M / month Β· πŸ“¦ 1.7K Β· ⏱️ 19.02.2024): 
pip install sentencepiece
- [Conda](https://anaconda.org/conda-forge/sentencepiece) (πŸ“₯ 1.5M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge sentencepiece
TextBlob (πŸ₯‡38 Β· ⭐ 9.3K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT - [GitHub](https://github.com/sloria/TextBlob) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 1.2K Β· πŸ“₯ 130 Β· πŸ“¦ 58K Β· πŸ“‹ 280 - 25% open Β· ⏱️ 27.05.2025): 
git clone https://github.com/sloria/TextBlob
- [PyPi](https://pypi.org/project/textblob) (πŸ“₯ 1.4M / month Β· πŸ“¦ 400 Β· ⏱️ 13.01.2025): 
pip install textblob
- [Conda](https://anaconda.org/conda-forge/textblob) (πŸ“₯ 290K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge textblob
fairseq (πŸ₯ˆ37 Β· ⭐ 31K Β· πŸ’€) - Facebook AI Research Sequence-to-Sequence Toolkit written in.. MIT - [GitHub](https://github.com/facebookresearch/fairseq) (πŸ‘¨β€πŸ’» 430 Β· πŸ”€ 6.5K Β· πŸ“₯ 410 Β· πŸ“¦ 4.3K Β· πŸ“‹ 4.4K - 30% open Β· ⏱️ 18.10.2024): 
git clone https://github.com/facebookresearch/fairseq
- [PyPi](https://pypi.org/project/fairseq) (πŸ“₯ 88K / month Β· πŸ“¦ 120 Β· ⏱️ 27.06.2022): 
pip install fairseq
- [Conda](https://anaconda.org/conda-forge/fairseq) (πŸ“₯ 140K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge fairseq
spark-nlp (πŸ₯ˆ36 Β· ⭐ 4K) - State of the Art Natural Language Processing. Apache-2 - [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 720 Β· πŸ“¦ 610 Β· πŸ“‹ 910 - 2% open Β· ⏱️ 28.05.2025): 
git clone https://github.com/JohnSnowLabs/spark-nlp
- [PyPi](https://pypi.org/project/spark-nlp) (πŸ“₯ 4.3M / month Β· πŸ“¦ 37 Β· ⏱️ 28.05.2025): 
pip install spark-nlp
qdrant (πŸ₯ˆ35 Β· ⭐ 24K) - Qdrant - High-performance, massive-scale Vector Database and Vector.. Apache-2 - [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.6K Β· πŸ“₯ 410K Β· πŸ“¦ 120 Β· πŸ“‹ 1.5K - 23% open Β· ⏱️ 23.05.2025): 
git clone https://github.com/qdrant/qdrant
TensorFlow Text (πŸ₯ˆ35 Β· ⭐ 1.3K) - Making text a first-class citizen in TensorFlow. Apache-2 - [GitHub](https://github.com/tensorflow/text) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 350 Β· πŸ“¦ 9.7K Β· πŸ“‹ 370 - 52% open Β· ⏱️ 24.03.2025): 
git clone https://github.com/tensorflow/text
- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 6.6M / month Β· πŸ“¦ 230 Β· ⏱️ 04.04.2025): 
pip install tensorflow-text
snowballstemmer (πŸ₯ˆ34 Β· ⭐ 790) - Snowball compiler and stemming algorithms. BSD-3 - [GitHub](https://github.com/snowballstem/snowball) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 180 Β· πŸ“¦ 10 Β· πŸ“‹ 110 - 15% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/snowballstem/snowball
- [PyPi](https://pypi.org/project/snowballstemmer) (πŸ“₯ 23M / month Β· πŸ“¦ 550 Β· ⏱️ 09.05.2025): 
pip install snowballstemmer
- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (πŸ“₯ 9.9M Β· ⏱️ 20.05.2025): 
conda install -c conda-forge snowballstemmer
Opik (πŸ₯ˆ33 Β· ⭐ 9K) - Debug, evaluate, and monitor your LLM applications, RAG systems, and.. Apache-2 - [GitHub](https://github.com/comet-ml/opik) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 610 Β· πŸ“₯ 12 Β· πŸ“¦ 9 Β· πŸ“‹ 320 - 30% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/comet-ml/opik
- [PyPi](https://pypi.org/project/opik) (πŸ“₯ 220K / month Β· πŸ“¦ 15 Β· ⏱️ 28.05.2025): 
pip install opik
stanza (πŸ₯ˆ33 Β· ⭐ 7.5K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2 - [GitHub](https://github.com/stanfordnlp/stanza) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 900 Β· πŸ“¦ 4K Β· πŸ“‹ 930 - 10% open Β· ⏱️ 24.12.2024): 
git clone https://github.com/stanfordnlp/stanza
- [PyPi](https://pypi.org/project/stanza) (πŸ“₯ 400K / month Β· πŸ“¦ 200 Β· ⏱️ 24.12.2024): 
pip install stanza
- [Conda](https://anaconda.org/stanfordnlp/stanza) (πŸ“₯ 8.7K Β· ⏱️ 25.03.2025): 
conda install -c stanfordnlp stanza
OpenNMT (πŸ₯ˆ33 Β· ⭐ 6.9K Β· πŸ’€) - Open Source Neural Machine Translation and (Large) Language.. MIT - [GitHub](https://github.com/OpenNMT/OpenNMT-py) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 2.3K Β· πŸ“¦ 340 Β· πŸ“‹ 1.5K - 2% open Β· ⏱️ 27.06.2024): 
git clone https://github.com/OpenNMT/OpenNMT-py
- [PyPi](https://pypi.org/project/OpenNMT-py) (πŸ“₯ 15K / month Β· πŸ“¦ 23 Β· ⏱️ 18.03.2024): 
pip install OpenNMT-py
torchtext (πŸ₯ˆ33 Β· ⭐ 3.5K) - Models, data loaders and abstractions for language processing,.. BSD-3 - [GitHub](https://github.com/pytorch/text) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 810 Β· πŸ“‹ 850 - 39% open Β· ⏱️ 24.02.2025): 
git clone https://github.com/pytorch/text
- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 660K / month Β· πŸ“¦ 280 Β· ⏱️ 24.04.2024): 
pip install torchtext
jellyfish (πŸ₯ˆ33 Β· ⭐ 2.1K) - a python library for doing approximate and phonetic matching of strings. MIT - [GitHub](https://github.com/jamesturk/jellyfish) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 160 Β· πŸ“¦ 15K Β· πŸ“‹ 140 - 2% open Β· ⏱️ 17.05.2025): 
git clone https://github.com/jamesturk/jellyfish
- [PyPi](https://pypi.org/project/jellyfish) (πŸ“₯ 7.6M / month Β· πŸ“¦ 300 Β· ⏱️ 31.03.2025): 
pip install jellyfish
- [Conda](https://anaconda.org/conda-forge/jellyfish) (πŸ“₯ 1.4M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge jellyfish
ftfy (πŸ₯ˆ32 Β· ⭐ 3.9K Β· πŸ’€) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2 - [GitHub](https://github.com/rspeer/python-ftfy) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 120 Β· πŸ“₯ 76 Β· πŸ“¦ 32K Β· πŸ“‹ 150 - 6% open Β· ⏱️ 30.10.2024): 
git clone https://github.com/rspeer/python-ftfy
- [PyPi](https://pypi.org/project/ftfy) (πŸ“₯ 7.2M / month Β· πŸ“¦ 570 Β· ⏱️ 26.10.2024): 
pip install ftfy
- [Conda](https://anaconda.org/conda-forge/ftfy) (πŸ“₯ 330K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge ftfy
DeepPavlov (πŸ₯ˆ31 Β· ⭐ 6.9K) - An open source library for deep learning end-to-end dialog.. Apache-2 - [GitHub](https://github.com/deeppavlov/DeepPavlov) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 1.2K Β· πŸ“¦ 430 Β· πŸ“‹ 640 - 4% open Β· ⏱️ 26.11.2024): 
git clone https://github.com/deepmipt/DeepPavlov
- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 14K / month Β· πŸ“¦ 4 Β· ⏱️ 12.08.2024): 
pip install deeppavlov
rubrix (πŸ₯ˆ31 Β· ⭐ 4.5K) - Argilla is a collaboration tool for AI engineers and domain experts.. Apache-2 - [GitHub](https://github.com/argilla-io/argilla) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 430 Β· πŸ“¦ 3K Β· πŸ“‹ 2.2K - 1% open Β· ⏱️ 16.05.2025): 
git clone https://github.com/recognai/rubrix
- [PyPi](https://pypi.org/project/rubrix) (πŸ“₯ 2.3K / month Β· ⏱️ 24.10.2022): 
pip install rubrix
- [Conda](https://anaconda.org/conda-forge/rubrix) (πŸ“₯ 46K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge rubrix
Dedupe (πŸ₯ˆ30 Β· ⭐ 4.3K) - A python library for accurate and scalable fuzzy matching, record.. MIT - [GitHub](https://github.com/dedupeio/dedupe) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 550 Β· πŸ“¦ 360 Β· πŸ“‹ 820 - 9% open Β· ⏱️ 01.11.2024): 
git clone https://github.com/dedupeio/dedupe
- [PyPi](https://pypi.org/project/dedupe) (πŸ“₯ 59K / month Β· πŸ“¦ 19 Β· ⏱️ 15.08.2024): 
pip install dedupe
- [Conda](https://anaconda.org/conda-forge/dedupe) (πŸ“₯ 110K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge dedupe
Sumy (πŸ₯ˆ30 Β· ⭐ 3.6K Β· πŸ’€) - Module for automatic summarization of text documents and HTML pages. Apache-2 - [GitHub](https://github.com/miso-belica/sumy) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 530 Β· πŸ“¦ 4.1K Β· πŸ“‹ 120 - 19% open Β· ⏱️ 16.05.2024): 
git clone https://github.com/miso-belica/sumy
- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 74K / month Β· πŸ“¦ 31 Β· ⏱️ 23.10.2022): 
pip install sumy
- [Conda](https://anaconda.org/conda-forge/sumy) (πŸ“₯ 12K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge sumy
TextDistance (πŸ₯ˆ28 Β· ⭐ 3.5K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT - [GitHub](https://github.com/life4/textdistance) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 250 Β· πŸ“₯ 1.1K Β· πŸ“¦ 8.6K Β· ⏱️ 18.04.2025): 
git clone https://github.com/life4/textdistance
- [PyPi](https://pypi.org/project/textdistance) (πŸ“₯ 1.1M / month Β· πŸ“¦ 99 Β· ⏱️ 16.07.2024): 
pip install textdistance
- [Conda](https://anaconda.org/conda-forge/textdistance) (πŸ“₯ 840K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge textdistance
SciSpacy (πŸ₯ˆ28 Β· ⭐ 1.8K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2 - [GitHub](https://github.com/allenai/scispacy) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 230 Β· πŸ“¦ 1.3K Β· πŸ“‹ 330 - 10% open Β· ⏱️ 23.11.2024): 
git clone https://github.com/allenai/scispacy
- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 37K / month Β· πŸ“¦ 34 Β· ⏱️ 27.10.2024): 
pip install scispacy
spacy-transformers (πŸ₯ˆ28 Β· ⭐ 1.4K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy - [GitHub](https://github.com/explosion/spacy-transformers) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 170 Β· πŸ“₯ 280 Β· πŸ“¦ 2.3K Β· ⏱️ 26.05.2025): 
git clone https://github.com/explosion/spacy-transformers
- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 220K / month Β· πŸ“¦ 110 Β· ⏱️ 26.05.2025): 
pip install spacy-transformers
- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (πŸ“₯ 120K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge spacy-transformers
CLTK (πŸ₯ˆ28 Β· ⭐ 850) - The Classical Language Toolkit. MIT - [GitHub](https://github.com/cltk/cltk) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 330 Β· πŸ“₯ 130 Β· πŸ“¦ 300 Β· πŸ“‹ 580 - 6% open Β· ⏱️ 04.05.2025): 
git clone https://github.com/cltk/cltk
- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 2.7K / month Β· πŸ“¦ 17 Β· ⏱️ 04.05.2025): 
pip install cltk
PyTextRank (πŸ₯‰27 Β· ⭐ 2.2K Β· πŸ’€) - Python implementation of TextRank algorithms (textgraphs) for.. MIT - [GitHub](https://github.com/DerwenAI/pytextrank) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 340 Β· πŸ“¦ 860 Β· πŸ“‹ 100 - 12% open Β· ⏱️ 21.05.2024): 
git clone https://github.com/DerwenAI/pytextrank
- [PyPi](https://pypi.org/project/pytextrank) (πŸ“₯ 69K / month Β· πŸ“¦ 19 Β· ⏱️ 21.02.2024): 
pip install pytextrank
english-words (πŸ₯‰26 Β· ⭐ 11K) - A text file containing 479k English words for all your.. Unlicense - [GitHub](https://github.com/dwyl/english-words) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 1.9K Β· πŸ“¦ 2 Β· πŸ“‹ 160 - 74% open Β· ⏱️ 06.01.2025): 
git clone https://github.com/dwyl/english-words
- [PyPi](https://pypi.org/project/english-words) (πŸ“₯ 57K / month Β· πŸ“¦ 14 Β· ⏱️ 24.05.2023): 
pip install english-words
DeepKE (πŸ₯‰25 Β· ⭐ 3.9K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. MIT - [GitHub](https://github.com/zjunlp/DeepKE) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 710 Β· πŸ“¦ 24 Β· πŸ“‹ 610 - 1% open Β· ⏱️ 22.04.2025): 
git clone https://github.com/zjunlp/deepke
- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 900 / month Β· ⏱️ 21.09.2023): 
pip install deepke
scattertext (πŸ₯‰25 Β· ⭐ 2.3K) - Beautiful visualizations of how language differs among document.. Apache-2 - [GitHub](https://github.com/JasonKessler/scattertext) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 290 Β· πŸ“¦ 670 Β· πŸ“‹ 100 - 22% open Β· ⏱️ 29.04.2025): 
git clone https://github.com/JasonKessler/scattertext
- [PyPi](https://pypi.org/project/scattertext) (πŸ“₯ 8K / month Β· πŸ“¦ 5 Β· ⏱️ 23.09.2024): 
pip install scattertext
- [Conda](https://anaconda.org/conda-forge/scattertext) (πŸ“₯ 110K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge scattertext
sense2vec (πŸ₯‰24 Β· ⭐ 1.7K) - Contextually-keyed word vectors. MIT - [GitHub](https://github.com/explosion/sense2vec) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 240 Β· πŸ“₯ 72K Β· πŸ“¦ 470 Β· πŸ“‹ 120 - 20% open Β· ⏱️ 23.04.2025): 
git clone https://github.com/explosion/sense2vec
- [PyPi](https://pypi.org/project/sense2vec) (πŸ“₯ 2.1K / month Β· πŸ“¦ 13 Β· ⏱️ 19.04.2021): 
pip install sense2vec
- [Conda](https://anaconda.org/conda-forge/sense2vec) (πŸ“₯ 61K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge sense2vec
detoxify (πŸ₯‰24 Β· ⭐ 1.1K) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2 - [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 120 Β· πŸ“₯ 1.2M Β· πŸ“¦ 920 Β· πŸ“‹ 67 - 55% open Β· ⏱️ 07.03.2025): 
git clone https://github.com/unitaryai/detoxify
- [PyPi](https://pypi.org/project/detoxify) (πŸ“₯ 64K / month Β· πŸ“¦ 30 Β· ⏱️ 01.02.2024): 
pip install detoxify
T5 (πŸ₯‰23 Β· ⭐ 6.4K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2 - [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 760 Β· πŸ“‹ 450 - 23% open Β· ⏱️ 28.04.2025): 
git clone https://github.com/google-research/text-to-text-transfer-transformer
- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 39K / month Β· πŸ“¦ 2 Β· ⏱️ 18.10.2021): 
pip install t5
happy-transformer (πŸ₯‰22 Β· ⭐ 540) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface - [GitHub](https://github.com/EricFillion/happy-transformer) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 67 Β· πŸ“¦ 330 Β· πŸ“‹ 130 - 16% open Β· ⏱️ 22.03.2025): 
git clone https://github.com/EricFillion/happy-transformer
- [PyPi](https://pypi.org/project/happytransformer) (πŸ“₯ 3.4K / month Β· πŸ“¦ 5 Β· ⏱️ 05.08.2023): 
pip install happytransformer
Sockeye (πŸ₯‰21 Β· ⭐ 1.2K Β· πŸ’€) - Sequence-to-sequence framework with a focus on Neural.. Apache-2 - [GitHub](https://github.com/awslabs/sockeye) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 320 Β· πŸ“₯ 21 Β· πŸ“‹ 310 - 3% open Β· ⏱️ 24.10.2024): 
git clone https://github.com/awslabs/sockeye
- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 760 / month Β· ⏱️ 03.03.2023): 
pip install sockeye
finetune (πŸ₯‰21 Β· ⭐ 710) - Scikit-learn style model finetuning for NLP. MPL-2.0 - [GitHub](https://github.com/IndicoDataSolutions/finetune) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 79 Β· πŸ“¦ 15 Β· πŸ“‹ 140 - 15% open Β· ⏱️ 20.05.2025): 
git clone https://github.com/IndicoDataSolutions/finetune
- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 230 / month Β· πŸ“¦ 2 Β· ⏱️ 29.09.2023): 
pip install finetune
small-text (πŸ₯‰21 Β· ⭐ 620) - Active Learning for Text Classification in Python. MIT - [GitHub](https://github.com/webis-de/small-text) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 71 Β· πŸ“¦ 34 Β· πŸ“‹ 67 - 26% open Β· ⏱️ 06.04.2025): 
git clone https://github.com/webis-de/small-text
- [PyPi](https://pypi.org/project/small-text) (πŸ“₯ 550 / month Β· ⏱️ 06.04.2025): 
pip install small-text
- [Conda](https://anaconda.org/conda-forge/small-text) (πŸ“₯ 15K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge small-text
fast-bert (πŸ₯‰20 Β· ⭐ 1.9K Β· πŸ’€) - Super easy library for BERT based NLP models. Apache-2 - [GitHub](https://github.com/utterworks/fast-bert) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 340 Β· πŸ“‹ 260 - 63% open Β· ⏱️ 19.08.2024): 
git clone https://github.com/utterworks/fast-bert
- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 910 / month Β· ⏱️ 19.08.2024): 
pip install fast-bert
UForm (πŸ₯‰20 Β· ⭐ 1.1K) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2 - [GitHub](https://github.com/unum-cloud/uform) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 67 Β· πŸ“₯ 610 Β· πŸ“¦ 34 Β· πŸ“‹ 35 - 37% open Β· ⏱️ 03.01.2025): 
git clone https://github.com/unum-cloud/uform
- [PyPi](https://pypi.org/project/uform) (πŸ“₯ 470 / month Β· πŸ“¦ 2 Β· ⏱️ 03.01.2025): 
pip install uform
VizSeq (πŸ₯‰15 Β· ⭐ 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT - [GitHub](https://github.com/facebookresearch/vizseq) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 61 Β· πŸ“¦ 13 Β· πŸ“‹ 16 - 43% open Β· ⏱️ 07.03.2025): 
git clone https://github.com/facebookresearch/vizseq
- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 110 / month Β· ⏱️ 07.08.2020): 
pip install vizseq
Show 56 hidden projects... - AllenNLP (πŸ₯ˆ37 Β· ⭐ 12K Β· πŸ’€) - An open-source NLP research library, built on PyTorch. Apache-2 - fastText (πŸ₯ˆ35 Β· ⭐ 26K Β· πŸ’€) - Library for fast text representation and classification. MIT - ParlAI (πŸ₯ˆ32 Β· ⭐ 11K Β· πŸ’€) - A framework for training and evaluating AI models on a variety of.. MIT - fuzzywuzzy (πŸ₯ˆ32 Β· ⭐ 9.3K Β· πŸ’€) - Fuzzy String Matching in Python. ❗️GPL-2.0 - nlpaug (πŸ₯ˆ30 Β· ⭐ 4.6K Β· πŸ’€) - Data augmentation for NLP. MIT - Ciphey (πŸ₯ˆ28 Β· ⭐ 19K Β· πŸ’€) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT - vaderSentiment (πŸ₯ˆ28 Β· ⭐ 4.7K Β· πŸ’€) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT - fastNLP (πŸ₯ˆ28 Β· ⭐ 3.1K Β· πŸ’€) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2 - textacy (πŸ₯ˆ28 Β· ⭐ 2.2K Β· πŸ’€) - NLP, before and after spaCy. ❗Unlicensed - flashtext (πŸ₯‰27 Β· ⭐ 5.7K Β· πŸ’€) - Extract Keywords from sentence or Replace keywords in sentences. MIT - underthesea (πŸ₯‰27 Β· ⭐ 1.5K) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0 - pySBD (πŸ₯‰27 Β· ⭐ 850 Β· πŸ’€) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT - neuralcoref (πŸ₯‰26 Β· ⭐ 2.9K Β· πŸ’€) - Fast Coreference Resolution in spaCy with Neural Networks. MIT - langid (πŸ₯‰26 Β· ⭐ 2.4K Β· πŸ’€) - Stand-alone language identification system. BSD-3 - polyglot (πŸ₯‰26 Β· ⭐ 2.3K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 - GluonNLP (πŸ₯‰25 Β· ⭐ 2.6K Β· πŸ’€) - Toolkit that enables easy text preprocessing, datasets.. Apache-2 - PyText (πŸ₯‰24 Β· ⭐ 6.3K Β· πŸ’€) - A natural language modeling framework based on PyTorch. BSD-3 - textgenrnn (πŸ₯‰24 Β· ⭐ 4.9K Β· πŸ’€) - Easily train your own text-generating neural network of any.. MIT - OpenPrompt (πŸ₯‰24 Β· ⭐ 4.6K Β· πŸ’€) - An Open-Source Framework for Prompt-Learning. Apache-2 - MatchZoo (πŸ₯‰24 Β· ⭐ 3.9K Β· πŸ’€) - Facilitating the design, comparison and sharing of deep.. Apache-2 - promptsource (πŸ₯‰24 Β· ⭐ 2.9K Β· πŸ’€) - Toolkit for creating, sharing and using natural language.. Apache-2 - pytorch-nlp (πŸ₯‰24 Β· ⭐ 2.2K Β· πŸ’€) - Basic Utilities for PyTorch Natural Language Processing.. BSD-3 - FARM (πŸ₯‰24 Β· ⭐ 1.8K Β· πŸ’€) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 - whoosh (πŸ₯‰24 Β· ⭐ 630 Β· πŸ’€) - Pure-Python full-text search library. ❗️BSD-1-Clause - Kashgari (πŸ₯‰23 Β· ⭐ 2.4K Β· πŸ’€) - Kashgari is a production-level NLP Transfer learning.. Apache-2 - YouTokenToMe (πŸ₯‰23 Β· ⭐ 970 Β· πŸ’€) - Unsupervised text tokenizer focused on computational efficiency. MIT - Snips NLU (πŸ₯‰22 Β· ⭐ 3.9K Β· πŸ’€) - Snips Python library to extract meaning from text. Apache-2 - gpt-2-simple (πŸ₯‰22 Β· ⭐ 3.4K Β· πŸ’€) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT - NLP Architect (πŸ₯‰22 Β· ⭐ 2.9K Β· πŸ’€) - A model library for exploring state-of-the-art deep.. Apache-2 - Texthero (πŸ₯‰22 Β· ⭐ 2.9K Β· πŸ’€) - Text preprocessing, representation and visualization from zero to.. MIT - Texar (πŸ₯‰22 Β· ⭐ 2.4K Β· πŸ’€) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 - jiant (πŸ₯‰22 Β· ⭐ 1.7K Β· πŸ’€) - jiant is an nlp toolkit. MIT - stop-words (πŸ₯‰22 Β· ⭐ 160 Β· πŸ’€) - Get list of common stop words in various languages in Python. BSD-3 - DELTA (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ’€) - DELTA is a deep learning based natural language and speech.. Apache-2 - lightseq (πŸ₯‰20 Β· ⭐ 3.3K Β· πŸ’€) - LightSeq: A High Performance Library for Sequence Processing.. Apache-2 - anaGo (πŸ₯‰20 Β· ⭐ 1.5K Β· πŸ’€) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT - textpipe (πŸ₯‰20 Β· ⭐ 300 Β· πŸ’€) - Textpipe: clean and extract metadata from text. MIT - DeepMatcher (πŸ₯‰19 Β· ⭐ 5.2K Β· πŸ’€) - Python package for performing Entity and Text Matching using.. BSD-3 - numerizer (πŸ₯‰19 Β· ⭐ 230 Β· πŸ’€) - A Python module to convert natural language numerics into ints and.. MIT - pyfasttext (πŸ₯‰19 Β· ⭐ 230 Β· πŸ’€) - Yet another Python binding for fastText. ❗️GPL-3.0 - NeuroNER (πŸ₯‰18 Β· ⭐ 1.7K Β· πŸ’€) - Named-entity recognition using neural networks. Easy-to-use and.. MIT - nboost (πŸ₯‰18 Β· ⭐ 680 Β· πŸ’€) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2 - fastT5 (πŸ₯‰18 Β· ⭐ 580 Β· πŸ’€) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2 - textaugment (πŸ₯‰18 Β· ⭐ 420 Β· πŸ’€) - TextAugment: Text Augmentation Library. MIT - Camphr (πŸ₯‰18 Β· ⭐ 340 Β· πŸ’€) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy - skift (πŸ₯‰17 Β· ⭐ 240 Β· πŸ’€) - scikit-learn wrappers for Python fastText. MIT - OpenNRE (πŸ₯‰16 Β· ⭐ 4.4K Β· πŸ’€) - An Open-Source Package for Neural Relation Extraction (NRE). MIT - TextBox (πŸ₯‰16 Β· ⭐ 1.1K Β· πŸ’€) - TextBox 2.0 is a text generation library with pre-trained language.. MIT - BLINK (πŸ₯‰15 Β· ⭐ 1.2K Β· πŸ’€) - Entity Linker solution. MIT - Translate (πŸ₯‰15 Β· ⭐ 830 Β· πŸ’€) - Translate - a PyTorch Language Library. BSD-3 - Headliner (πŸ₯‰15 Β· ⭐ 230 Β· πŸ’€) - Easy training and deployment of seq2seq models. MIT - ONNX-T5 (πŸ₯‰14 Β· ⭐ 250 Β· πŸ’€) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2 - NeuralQA (πŸ₯‰14 Β· ⭐ 230 Β· πŸ’€) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT - TransferNLP (πŸ₯‰13 Β· ⭐ 290 Β· πŸ’€) - NLP library designed for reproducible experimentation.. MIT - textvec (πŸ₯‰13 Β· ⭐ 190 Β· πŸ’€) - Text vectorization tool to outperform TFIDF for classification.. MIT - spacy-dbpedia-spotlight (πŸ₯‰13 Β· ⭐ 110 Β· πŸ’€) - A spaCy wrapper for DBpedia Spotlight. MIT spacy


Image Data

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Libraries for image & video processing, manipulation, and augmentation as well as libraries for computer vision tasks such as facial recognition, object detection, and classification.

Pillow (πŸ₯‡48 Β· ⭐ 13K) - Python Imaging Library (Fork). ❗️PIL - [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 2.3K Β· πŸ“¦ 2.3M Β· πŸ“‹ 3.3K - 3% open Β· ⏱️ 27.05.2025): 
git clone https://github.com/python-pillow/Pillow
- [PyPi](https://pypi.org/project/Pillow) (πŸ“₯ 150M / month Β· πŸ“¦ 14K Β· ⏱️ 12.04.2025): 
pip install Pillow
- [Conda](https://anaconda.org/conda-forge/pillow) (πŸ“₯ 55M Β· ⏱️ 07.05.2025): 
conda install -c conda-forge pillow
PyTorch Image Models (πŸ₯‡42 Β· ⭐ 34K Β· πŸ“ˆ) - The largest collection of PyTorch image encoders /.. Apache-2 - [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 4.9K Β· πŸ“₯ 7.8M Β· πŸ“¦ 58K Β· πŸ“‹ 980 - 5% open Β· ⏱️ 28.05.2025): 
git clone https://github.com/rwightman/pytorch-image-models
- [PyPi](https://pypi.org/project/timm) (πŸ“₯ 7.9M / month Β· πŸ“¦ 1.1K Β· ⏱️ 23.02.2025): 
pip install timm
- [Conda](https://anaconda.org/conda-forge/timm) (πŸ“₯ 390K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge timm
torchvision (πŸ₯‡42 Β· ⭐ 17K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 - [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 640 Β· πŸ”€ 7K Β· πŸ“₯ 41K Β· πŸ“¦ 21 Β· πŸ“‹ 3.7K - 29% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/pytorch/vision
- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 17M / month Β· πŸ“¦ 7K Β· ⏱️ 23.04.2025): 
pip install torchvision
- [Conda](https://anaconda.org/conda-forge/torchvision) (πŸ“₯ 2.7M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge torchvision
MoviePy (πŸ₯‡42 Β· ⭐ 13K Β· πŸ“ˆ) - Video editing with Python. MIT - [GitHub](https://github.com/Zulko/moviepy) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 1.8K Β· πŸ“¦ 64K Β· πŸ“‹ 1.6K - 2% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/Zulko/moviepy
- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 3.4M / month Β· πŸ“¦ 1.2K Β· ⏱️ 21.05.2025): 
pip install moviepy
- [Conda](https://anaconda.org/conda-forge/moviepy) (πŸ“₯ 300K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge moviepy
Albumentations (πŸ₯‡41 Β· ⭐ 15K) - Fast and flexible image augmentation library. Paper about.. MIT - [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 1.7K Β· πŸ“¦ 38K Β· πŸ“‹ 1.2K - 16% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/albumentations-team/albumentations
- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 6M / month Β· πŸ“¦ 730 Β· ⏱️ 27.05.2025): 
pip install albumentations
- [Conda](https://anaconda.org/conda-forge/albumentations) (πŸ“₯ 290K Β· ⏱️ 28.05.2025): 
conda install -c conda-forge albumentations
deepface (πŸ₯‡39 Β· ⭐ 19K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT - [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 2.6K Β· πŸ“¦ 8K Β· πŸ“‹ 1.2K - 0% open Β· ⏱️ 17.05.2025): 
git clone https://github.com/serengil/deepface
- [PyPi](https://pypi.org/project/deepface) (πŸ“₯ 630K / month Β· πŸ“¦ 44 Β· ⏱️ 17.08.2024): 
pip install deepface
InsightFace (πŸ₯ˆ38 Β· ⭐ 25K) - State-of-the-art 2D and 3D Face Analysis Project. MIT - [GitHub](https://github.com/deepinsight/insightface) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 5.5K Β· πŸ“₯ 8.2M Β· πŸ“¦ 4.5K Β· πŸ“‹ 2.6K - 45% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/deepinsight/insightface
- [PyPi](https://pypi.org/project/insightface) (πŸ“₯ 260K / month Β· πŸ“¦ 30 Β· ⏱️ 17.12.2022): 
pip install insightface
imageio (πŸ₯ˆ38 Β· ⭐ 1.6K) - Python library for reading and writing image data. BSD-2 - [GitHub](https://github.com/imageio/imageio) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 310 Β· πŸ“₯ 1.8K Β· πŸ“¦ 180K Β· πŸ“‹ 610 - 16% open Β· ⏱️ 21.02.2025): 
git clone https://github.com/imageio/imageio
- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 26M / month Β· πŸ“¦ 2.6K Β· ⏱️ 20.01.2025): 
pip install imageio
- [Conda](https://anaconda.org/conda-forge/imageio) (πŸ“₯ 7.9M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge imageio
Kornia (πŸ₯ˆ37 Β· ⭐ 10K) - Geometric Computer Vision Library for Spatial AI. Apache-2 - [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 1K Β· πŸ“₯ 1.9K Β· πŸ“¦ 16K Β· πŸ“‹ 980 - 30% open Β· ⏱️ 25.05.2025): 
git clone https://github.com/kornia/kornia
- [PyPi](https://pypi.org/project/kornia) (πŸ“₯ 2.6M / month Β· πŸ“¦ 340 Β· ⏱️ 08.05.2025): 
pip install kornia
- [Conda](https://anaconda.org/conda-forge/kornia) (πŸ“₯ 230K Β· ⏱️ 08.05.2025): 
conda install -c conda-forge kornia
opencv-python (πŸ₯ˆ35 Β· ⭐ 4.8K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT - [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 900 Β· πŸ“¦ 600K Β· πŸ“‹ 860 - 17% open Β· ⏱️ 19.05.2025): 
git clone https://github.com/opencv/opencv-python
- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 18M / month Β· πŸ“¦ 13K Β· ⏱️ 16.01.2025): 
pip install opencv-python
detectron2 (πŸ₯ˆ34 Β· ⭐ 32K Β· πŸ“ˆ) - Detectron2 is a platform for object detection,.. Apache-2 - [GitHub](https://github.com/facebookresearch/detectron2) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 7.5K Β· πŸ“¦ 2.5K Β· πŸ“‹ 3.6K - 14% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/facebookresearch/detectron2
- [PyPi](https://pypi.org/project/detectron2) (πŸ“¦ 13 Β· ⏱️ 06.02.2020): 
pip install detectron2
- [Conda](https://anaconda.org/conda-forge/detectron2) (πŸ“₯ 700K Β· ⏱️ 13.05.2025): 
conda install -c conda-forge detectron2
Wand (πŸ₯ˆ33 Β· ⭐ 1.4K) - The ctypes-based simple ImageMagick binding for Python. MIT - [GitHub](https://github.com/emcconville/wand) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 200 Β· πŸ“₯ 52K Β· πŸ“¦ 21K Β· πŸ“‹ 430 - 6% open Β· ⏱️ 01.04.2025): 
git clone https://github.com/emcconville/wand
- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 1.1M / month Β· πŸ“¦ 260 Β· ⏱️ 03.11.2023): 
pip install wand
- [Conda](https://anaconda.org/conda-forge/wand) (πŸ“₯ 140K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge wand
PaddleSeg (πŸ₯ˆ32 Β· ⭐ 9K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.7K Β· πŸ“¦ 1.4K Β· πŸ“‹ 2.2K - 0% open Β· ⏱️ 25.12.2024): 
git clone https://github.com/PaddlePaddle/PaddleSeg
- [PyPi](https://pypi.org/project/paddleseg) (πŸ“₯ 1.5K / month Β· πŸ“¦ 7 Β· ⏱️ 30.11.2022): 
pip install paddleseg
ImageHash (πŸ₯ˆ32 Β· ⭐ 3.6K) - A Python Perceptual Image Hashing Module. BSD-2 - [GitHub](https://github.com/JohannesBuchner/imagehash) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 340 Β· πŸ“¦ 17K Β· πŸ“‹ 150 - 15% open Β· ⏱️ 17.04.2025): 
git clone https://github.com/JohannesBuchner/imagehash
- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 2M / month Β· πŸ“¦ 270 Β· ⏱️ 01.02.2025): 
pip install ImageHash
- [Conda](https://anaconda.org/conda-forge/imagehash) (πŸ“₯ 450K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge imagehash
lightly (πŸ₯ˆ32 Β· ⭐ 3.4K) - A python library for self-supervised learning on images. MIT - [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 290 Β· πŸ“¦ 450 Β· πŸ“‹ 600 - 12% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/lightly-ai/lightly
- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 76K / month Β· πŸ“¦ 20 Β· ⏱️ 22.04.2025): 
pip install lightly
vit-pytorch (πŸ₯ˆ30 Β· ⭐ 23K) - Implementation of Vision Transformer, a simple way to achieve.. MIT - [GitHub](https://github.com/lucidrains/vit-pytorch) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 3.3K Β· πŸ“¦ 660 Β· πŸ“‹ 280 - 49% open Β· ⏱️ 05.03.2025): 
git clone https://github.com/lucidrains/vit-pytorch
- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 17K / month Β· πŸ“¦ 17 Β· ⏱️ 05.03.2025): 
pip install vit-pytorch
sahi (πŸ₯ˆ30 Β· ⭐ 4.6K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT - [GitHub](https://github.com/obss/sahi) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 640 Β· πŸ“₯ 37K Β· πŸ“¦ 1.9K Β· ⏱️ 15.05.2025): 
git clone https://github.com/obss/sahi
- [PyPi](https://pypi.org/project/sahi) (πŸ“₯ 140K / month Β· πŸ“¦ 35 Β· ⏱️ 05.05.2025): 
pip install sahi
- [Conda](https://anaconda.org/conda-forge/sahi) (πŸ“₯ 100K Β· ⏱️ 05.05.2025): 
conda install -c conda-forge sahi
PaddleDetection (πŸ₯ˆ29 Β· ⭐ 13K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 2.9K Β· πŸ“‹ 5.6K - 17% open Β· ⏱️ 16.04.2025): 
git clone https://github.com/PaddlePaddle/PaddleDetection
- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 730 / month Β· πŸ“¦ 2 Β· ⏱️ 19.09.2022): 
pip install paddledet
doctr (πŸ₯ˆ29 Β· ⭐ 4.7K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2 - [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 500 Β· πŸ“₯ 5.4M Β· πŸ“‹ 410 - 6% open Β· ⏱️ 27.05.2025): 
git clone https://github.com/mindee/doctr
- [PyPi](https://pypi.org/project/python-doctr) (πŸ“₯ 110K / month Β· πŸ“¦ 14 Β· ⏱️ 30.01.2025): 
pip install python-doctr
Face Alignment (πŸ₯‰28 Β· ⭐ 7.3K Β· πŸ’€) - 2D and 3D Face alignment library build using pytorch. BSD-3 - [GitHub](https://github.com/1adrianb/face-alignment) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 1.4K Β· πŸ“¦ 21 Β· πŸ“‹ 320 - 24% open Β· ⏱️ 30.08.2024): 
git clone https://github.com/1adrianb/face-alignment
- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 79K / month Β· πŸ“¦ 10 Β· ⏱️ 17.08.2023): 
pip install face-alignment
vidgear (πŸ₯‰28 Β· ⭐ 3.5K Β· πŸ’€) - A High-performance cross-platform Video Processing Python.. Apache-2 - [GitHub](https://github.com/abhiTronix/vidgear) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 260 Β· πŸ“₯ 2.4K Β· πŸ“¦ 730 Β· πŸ“‹ 300 - 2% open Β· ⏱️ 22.06.2024): 
git clone https://github.com/abhiTronix/vidgear
- [PyPi](https://pypi.org/project/vidgear) (πŸ“₯ 28K / month Β· πŸ“¦ 15 Β· ⏱️ 22.06.2024): 
pip install vidgear
Norfair (πŸ₯‰28 Β· ⭐ 2.5K) - Lightweight Python library for adding real-time multi-object tracking.. BSD-3 - [GitHub](https://github.com/tryolabs/norfair) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 260 Β· πŸ“₯ 350 Β· πŸ“¦ 320 Β· πŸ“‹ 180 - 16% open Β· ⏱️ 30.04.2025): 
git clone https://github.com/tryolabs/norfair
- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 30K / month Β· πŸ“¦ 9 Β· ⏱️ 30.04.2025): 
pip install norfair
mtcnn (πŸ₯‰28 Β· ⭐ 2.4K Β· πŸ’€) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT - [GitHub](https://github.com/ipazc/mtcnn) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 530 Β· πŸ“₯ 52 Β· πŸ“¦ 8.9K Β· πŸ“‹ 130 - 37% open Β· ⏱️ 08.10.2024): 
git clone https://github.com/ipazc/mtcnn
- [PyPi](https://pypi.org/project/mtcnn) (πŸ“₯ 170K / month Β· πŸ“¦ 73 Β· ⏱️ 08.10.2024): 
pip install mtcnn
- [Conda](https://anaconda.org/conda-forge/mtcnn) (πŸ“₯ 15K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge mtcnn
mahotas (πŸ₯‰28 Β· ⭐ 870) - Computer Vision in Python. MIT - [GitHub](https://github.com/luispedro/mahotas) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 150 Β· πŸ“¦ 1.5K Β· πŸ“‹ 92 - 22% open Β· ⏱️ 25.02.2025): 
git clone https://github.com/luispedro/mahotas
- [PyPi](https://pypi.org/project/mahotas) (πŸ“₯ 23K / month Β· πŸ“¦ 63 Β· ⏱️ 17.07.2024): 
pip install mahotas
- [Conda](https://anaconda.org/conda-forge/mahotas) (πŸ“₯ 630K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge mahotas
pyvips (πŸ₯‰28 Β· ⭐ 700) - python binding for libvips using cffi. MIT - [GitHub](https://github.com/libvips/pyvips) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 49 Β· πŸ“¦ 1.1K Β· πŸ“‹ 460 - 42% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/libvips/pyvips
- [PyPi](https://pypi.org/project/pyvips) (πŸ“₯ 120K / month Β· πŸ“¦ 94 Β· ⏱️ 28.04.2025): 
pip install pyvips
- [Conda](https://anaconda.org/conda-forge/pyvips) (πŸ“₯ 220K Β· ⏱️ 29.04.2025): 
conda install -c conda-forge pyvips
facenet-pytorch (πŸ₯‰27 Β· ⭐ 4.9K Β· πŸ’€) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT - [GitHub](https://github.com/timesler/facenet-pytorch) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 940 Β· πŸ“₯ 1.8M Β· πŸ“¦ 3.7K Β· πŸ“‹ 190 - 41% open Β· ⏱️ 02.08.2024): 
git clone https://github.com/timesler/facenet-pytorch
- [PyPi](https://pypi.org/project/facenet-pytorch) (πŸ“₯ 120K / month Β· πŸ“¦ 51 Β· ⏱️ 29.04.2024): 
pip install facenet-pytorch
Image Deduplicator (πŸ₯‰26 Β· ⭐ 5.4K) - Finding duplicate images made easy!. Apache-2 - [GitHub](https://github.com/idealo/imagededup) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 460 Β· πŸ“₯ 6 Β· πŸ“¦ 190 Β· πŸ“‹ 130 - 28% open Β· ⏱️ 07.05.2025): 
git clone https://github.com/idealo/imagededup
- [PyPi](https://pypi.org/project/imagededup) (πŸ“₯ 17K / month Β· πŸ“¦ 26 Β· ⏱️ 13.05.2025): 
pip install imagededup
CellProfiler (πŸ₯‰26 Β· ⭐ 980) - An open-source application for biological image analysis. BSD-3 - [GitHub](https://github.com/CellProfiler/CellProfiler) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 390 Β· πŸ“₯ 8.8K Β· πŸ“¦ 28 Β· πŸ“‹ 3.3K - 9% open Β· ⏱️ 20.05.2025): 
git clone https://github.com/CellProfiler/CellProfiler
- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 810 / month Β· πŸ“¦ 2 Β· ⏱️ 16.09.2024): 
pip install cellprofiler
MMF (πŸ₯‰25 Β· ⭐ 5.6K) - A modular framework for vision & language multimodal research from.. BSD-3 - [GitHub](https://github.com/facebookresearch/mmf) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 920 Β· πŸ“¦ 22 Β· πŸ“‹ 690 - 21% open Β· ⏱️ 24.04.2025): 
git clone https://github.com/facebookresearch/mmf
- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 250 / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2020): 
pip install mmf
pytorchvideo (πŸ₯‰25 Β· ⭐ 3.4K) - A deep learning library for video understanding research. Apache-2 - [GitHub](https://github.com/facebookresearch/pytorchvideo) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 410 Β· πŸ“‹ 210 - 50% open Β· ⏱️ 25.01.2025): 
git clone https://github.com/facebookresearch/pytorchvideo
- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 55K / month Β· πŸ“¦ 24 Β· ⏱️ 20.01.2022): 
pip install pytorchvideo
tensorflow-graphics (πŸ₯‰25 Β· ⭐ 2.8K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2 - [GitHub](https://github.com/tensorflow/graphics) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 370 Β· πŸ“‹ 240 - 60% open Β· ⏱️ 03.02.2025): 
git clone https://github.com/tensorflow/graphics
- [PyPi](https://pypi.org/project/tensorflow-graphics) (πŸ“₯ 33K / month Β· πŸ“¦ 11 Β· ⏱️ 03.12.2021): 
pip install tensorflow-graphics
segmentation_models (πŸ₯‰24 Β· ⭐ 4.8K Β· πŸ’€) - Segmentation models with pretrained backbones. Keras.. MIT - [GitHub](https://github.com/qubvel/segmentation_models) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 1K Β· πŸ“‹ 540 - 50% open Β· ⏱️ 21.08.2024): 
git clone https://github.com/qubvel/segmentation_models
- [PyPi](https://pypi.org/project/segmentation_models) (πŸ“₯ 27K / month Β· πŸ“¦ 28 Β· ⏱️ 10.01.2020): 
pip install segmentation_models
ffcv (πŸ₯‰23 Β· ⭐ 2.9K Β· πŸ’€) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2 - [GitHub](https://github.com/libffcv/ffcv) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 180 Β· πŸ“¦ 72 Β· πŸ“‹ 290 - 38% open Β· ⏱️ 06.05.2024): 
git clone https://github.com/libffcv/ffcv
- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 570 / month Β· πŸ“¦ 1 Β· ⏱️ 28.01.2022): 
pip install ffcv
kubric (πŸ₯‰22 Β· ⭐ 2.5K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2 - [GitHub](https://github.com/google-research/kubric) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 240 Β· πŸ“¦ 7 Β· πŸ“‹ 190 - 33% open Β· ⏱️ 06.05.2025): 
git clone https://github.com/google-research/kubric
- [PyPi](https://pypi.org/project/kubric-nightly) (πŸ“₯ 4.5K / month Β· ⏱️ 27.12.2023): 
pip install kubric-nightly
icevision (πŸ₯‰22 Β· ⭐ 860 Β· πŸ’€) - An Agnostic Computer Vision Framework - Pluggable to any.. Apache-2 - [GitHub](https://github.com/airctic/icevision) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 130 Β· πŸ“‹ 570 - 10% open Β· ⏱️ 31.10.2024): 
git clone https://github.com/airctic/icevision
- [PyPi](https://pypi.org/project/icevision) (πŸ“₯ 4.2K / month Β· πŸ“¦ 6 Β· ⏱️ 10.02.2022): 
pip install icevision
PySlowFast (πŸ₯‰21 Β· ⭐ 7K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2 - [GitHub](https://github.com/facebookresearch/SlowFast) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 1.2K Β· πŸ“¦ 23 Β· πŸ“‹ 710 - 58% open Β· ⏱️ 26.11.2024): 
git clone https://github.com/facebookresearch/SlowFast
- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 21 / month Β· ⏱️ 15.01.2020): 
pip install pyslowfast
Image Super-Resolution (πŸ₯‰21 Β· ⭐ 4.7K) - Super-scale your images and run experiments with.. Apache-2 - [GitHub](https://github.com/idealo/image-super-resolution) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 760 Β· πŸ“‹ 220 - 48% open Β· ⏱️ 18.12.2024): 
git clone https://github.com/idealo/image-super-resolution
- [PyPi](https://pypi.org/project/ISR) (πŸ“₯ 6K / month Β· πŸ“¦ 5 Β· ⏱️ 08.01.2020): 
pip install ISR
- [Docker Hub](https://hub.docker.com/r/idealo/image-super-resolution-gpu) (πŸ“₯ 280 Β· ⭐ 1 Β· ⏱️ 01.04.2019): 
docker pull idealo/image-super-resolution-gpu
scenic (πŸ₯‰17 Β· ⭐ 3.5K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2 - [GitHub](https://github.com/google-research/scenic) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 450 Β· πŸ“‹ 270 - 56% open Β· ⏱️ 27.05.2025): 
git clone https://github.com/google-research/scenic
Show 26 hidden projects... - scikit-image (πŸ₯‡41 Β· ⭐ 6.3K) - Image processing in Python. ❗Unlicensed - MMDetection (πŸ₯ˆ37 Β· ⭐ 31K Β· πŸ’€) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 - glfw (πŸ₯ˆ37 Β· ⭐ 14K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib - Face Recognition (πŸ₯ˆ36 Β· ⭐ 55K Β· πŸ’€) - The worlds simplest facial recognition api for Python.. MIT - imgaug (πŸ₯ˆ36 Β· ⭐ 15K Β· πŸ’€) - Image augmentation for machine learning experiments. MIT - PyTorch3D (πŸ₯ˆ32 Β· ⭐ 9.3K) - PyTorch3D is FAIRs library of reusable components for.. ❗Unlicensed - imageai (πŸ₯ˆ31 Β· ⭐ 8.8K Β· πŸ’€) - A python library built to empower developers to build applications.. MIT - imutils (πŸ₯ˆ31 Β· ⭐ 4.6K Β· πŸ’€) - A series of convenience functions to make basic image processing.. MIT - GluonCV (πŸ₯‰28 Β· ⭐ 5.9K Β· πŸ’€) - Gluon CV Toolkit. Apache-2 - Augmentor (πŸ₯‰27 Β· ⭐ 5.1K Β· πŸ’€) - Image augmentation library in Python for machine learning. MIT - chainercv (πŸ₯‰26 Β· ⭐ 1.5K Β· πŸ’€) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT - Pillow-SIMD (πŸ₯‰25 Β· ⭐ 2.2K Β· πŸ’€) - The friendly PIL fork. ❗️PIL - layout-parser (πŸ₯‰24 Β· ⭐ 5.3K Β· πŸ’€) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2 - deep-daze (πŸ₯‰22 Β· ⭐ 4.4K Β· πŸ’€) - Simple command line tool for text to image generation using.. MIT - vissl (πŸ₯‰22 Β· ⭐ 3.3K Β· πŸ’€) - VISSL is FAIRs library of extensible, modular and scalable.. MIT - Luminoth (πŸ₯‰22 Β· ⭐ 2.4K Β· πŸ’€) - Deep Learning toolkit for Computer Vision. BSD-3 - Classy Vision (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - An end-to-end PyTorch framework for image and video.. MIT - detecto (πŸ₯‰22 Β· ⭐ 620 Β· πŸ’€) - Build fully-functioning computer vision models with PyTorch. MIT - DEβ«ΆTR (πŸ₯‰21 Β· ⭐ 14K Β· πŸ’€) - End-to-End Object Detection with Transformers. Apache-2 - image-match (πŸ₯‰20 Β· ⭐ 3K Β· πŸ’€) - Quickly search over billions of images. Apache-2 - nude.py (πŸ₯‰20 Β· ⭐ 930 Β· πŸ’€) - Nudity detection with Python. MIT - solt (πŸ₯‰20 Β· ⭐ 260) - Streaming over lightweight data transformations. MIT - pycls (πŸ₯‰18 Β· ⭐ 2.2K Β· πŸ’€) - Codebase for Image Classification Research, written in PyTorch. MIT - Caer (πŸ₯‰17 Β· ⭐ 790 Β· πŸ’€) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT - Torch Points 3D (πŸ₯‰17 Β· ⭐ 240 Β· πŸ’€) - Pytorch framework for doing deep learning on point.. BSD-3 - HugsVision (πŸ₯‰14 Β· ⭐ 200 Β· πŸ’€) - HugsVision is a easy to use huggingface wrapper for state-of-.. MIT huggingface


Graph Data

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Libraries for graph processing, clustering, embedding, and machine learning tasks.

networkx (πŸ₯‡45 Β· ⭐ 16K Β· πŸ“ˆ) - Network Analysis in Python. BSD-3 - [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 780 Β· πŸ”€ 3.4K Β· πŸ“₯ 110 Β· πŸ“¦ 410K Β· πŸ“‹ 3.5K - 10% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/networkx/networkx
- [PyPi](https://pypi.org/project/networkx) (πŸ“₯ 96M / month Β· πŸ“¦ 12K Β· ⏱️ 29.05.2025): 
pip install networkx
- [Conda](https://anaconda.org/conda-forge/networkx) (πŸ“₯ 22M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge networkx
PyTorch Geometric (πŸ₯‡40 Β· ⭐ 22K) - Graph Neural Network Library for PyTorch. MIT - [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 550 Β· πŸ”€ 3.8K Β· πŸ“¦ 9.7K Β· πŸ“‹ 3.9K - 30% open Β· ⏱️ 25.05.2025): 
git clone https://github.com/pyg-team/pytorch_geometric
- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 620K / month Β· πŸ“¦ 360 Β· ⏱️ 26.09.2024): 
pip install torch-geometric
- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (πŸ“₯ 160K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pytorch_geometric
dgl (πŸ₯‡36 Β· ⭐ 14K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2 - [GitHub](https://github.com/dmlc/dgl) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 3K Β· πŸ“¦ 4K Β· πŸ“‹ 2.9K - 18% open Β· ⏱️ 11.02.2025): 
git clone https://github.com/dmlc/dgl
- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 97K / month Β· πŸ“¦ 150 Β· ⏱️ 13.05.2024): 
pip install dgl
PyKEEN (πŸ₯ˆ31 Β· ⭐ 1.8K) - A Python library for learning and evaluating knowledge graph embeddings. MIT - [GitHub](https://github.com/pykeen/pykeen) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 200 Β· πŸ“₯ 240 Β· πŸ“¦ 330 Β· πŸ“‹ 590 - 19% open Β· ⏱️ 24.04.2025): 
git clone https://github.com/pykeen/pykeen
- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 15K / month Β· πŸ“¦ 21 Β· ⏱️ 24.04.2025): 
pip install pykeen
pytorch_geometric_temporal (πŸ₯ˆ28 Β· ⭐ 2.8K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT - [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 390 Β· πŸ“‹ 200 - 20% open Β· ⏱️ 24.03.2025): 
git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal
- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 5.6K / month Β· πŸ“¦ 7 Β· ⏱️ 28.03.2025): 
pip install torch-geometric-temporal
ogb (πŸ₯ˆ28 Β· ⭐ 2K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT - [GitHub](https://github.com/snap-stanford/ogb) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 400 Β· πŸ“¦ 2.6K Β· πŸ“‹ 310 - 11% open Β· ⏱️ 06.05.2025): 
git clone https://github.com/snap-stanford/ogb
- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 35K / month Β· πŸ“¦ 73 Β· ⏱️ 07.04.2023): 
pip install ogb
- [Conda](https://anaconda.org/conda-forge/ogb) (πŸ“₯ 54K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge ogb
pygraphistry (πŸ₯ˆ27 Β· ⭐ 2.3K Β· πŸ“‰) - PyGraphistry is a Python library to quickly load,.. BSD-3 - [GitHub](https://github.com/graphistry/pygraphistry) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 220 Β· πŸ“‹ 360 - 53% open Β· ⏱️ 16.05.2025): 
git clone https://github.com/graphistry/pygraphistry
- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 16K / month Β· πŸ“¦ 6 Β· ⏱️ 16.05.2025): 
pip install graphistry
Node2Vec (πŸ₯ˆ25 Β· ⭐ 1.3K Β· πŸ’€) - Implementation of the node2vec algorithm. MIT - [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 250 Β· πŸ“¦ 920 Β· πŸ“‹ 97 - 5% open Β· ⏱️ 02.08.2024): 
git clone https://github.com/eliorc/node2vec
- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 27K / month Β· πŸ“¦ 31 Β· ⏱️ 02.08.2024): 
pip install node2vec
- [Conda](https://anaconda.org/conda-forge/node2vec) (πŸ“₯ 35K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge node2vec
torch-cluster (πŸ₯ˆ25 Β· ⭐ 870) - PyTorch Extension Library of Optimized Graph Cluster.. MIT - [GitHub](https://github.com/rusty1s/pytorch_cluster) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 150 Β· πŸ“‹ 180 - 17% open Β· ⏱️ 20.04.2025): 
git clone https://github.com/rusty1s/pytorch_cluster
- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 20K / month Β· πŸ“¦ 62 Β· ⏱️ 12.10.2023): 
pip install torch-cluster
- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (πŸ“₯ 370K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pytorch_cluster
GraphVite (πŸ₯‰15 Β· ⭐ 1.3K Β· πŸ’€) - GraphVite: A General and High-performance Graph Embedding.. Apache-2 - [GitHub](https://github.com/DeepGraphLearning/graphvite) (πŸ‘¨β€πŸ’» 1 Β· πŸ”€ 150 Β· πŸ“‹ 110 - 47% open Β· ⏱️ 14.06.2024): 
git clone https://github.com/DeepGraphLearning/graphvite
- [Conda](https://anaconda.org/milagraph/graphvite) (πŸ“₯ 5.1K Β· ⏱️ 25.03.2025): 
conda install -c milagraph graphvite
Show 26 hidden projects... - igraph (πŸ₯‡32 Β· ⭐ 1.4K) - Python interface for igraph. ❗️GPL-2.0 - Spektral (πŸ₯ˆ28 Β· ⭐ 2.4K Β· πŸ’€) - Graph Neural Networks with Keras and Tensorflow 2. MIT - StellarGraph (πŸ₯ˆ27 Β· ⭐ 3K Β· πŸ’€) - StellarGraph - Machine Learning on Graphs. Apache-2 - pygal (πŸ₯ˆ27 Β· ⭐ 2.7K Β· πŸ’€) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 - AmpliGraph (πŸ₯ˆ25 Β· ⭐ 2.2K Β· πŸ’€) - Python library for Representation Learning on Knowledge.. Apache-2 - Paddle Graph Learning (πŸ₯ˆ25 Β· ⭐ 1.6K Β· πŸ’€) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 - Karate Club (πŸ₯‰24 Β· ⭐ 2.2K Β· πŸ’€) - Karate Club: An API Oriented Open-source Python Framework.. ❗️GPL-3.0 - PyTorch-BigGraph (πŸ₯‰23 Β· ⭐ 3.4K Β· πŸ’€) - Generate embeddings from large-scale graph-structured.. BSD-3 - graph-nets (πŸ₯‰21 Β· ⭐ 5.4K Β· πŸ’€) - Build Graph Nets in Tensorflow. Apache-2 - graph4nlp (πŸ₯‰21 Β· ⭐ 1.7K Β· πŸ’€) - Graph4nlp is the library for the easy use of Graph.. Apache-2 - jraph (πŸ₯‰21 Β· ⭐ 1.4K Β· πŸ’€) - A Graph Neural Network Library in Jax. Apache-2 - pyRDF2Vec (πŸ₯‰21 Β· ⭐ 260 Β· πŸ’€) - Python Implementation and Extension of RDF2Vec. MIT - DeepWalk (πŸ₯‰20 Β· ⭐ 2.7K Β· πŸ’€) - DeepWalk - Deep Learning for Graphs. ❗️GPL-3.0 - DIG (πŸ₯‰20 Β· ⭐ 2K Β· πŸ’€) - A library for graph deep learning research. ❗️GPL-3.0 - deepsnap (πŸ₯‰20 Β· ⭐ 560 Β· πŸ’€) - Python library assists deep learning on graphs. MIT - GraphGym (πŸ₯‰19 Β· ⭐ 1.8K Β· πŸ’€) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT - DeepGraph (πŸ₯‰18 Β· ⭐ 290) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 - Sematch (πŸ₯‰17 Β· ⭐ 440 Β· πŸ’€) - semantic similarity framework for knowledge graph. Apache-2 - AutoGL (πŸ₯‰16 Β· ⭐ 1.1K Β· πŸ’€) - An autoML framework & toolkit for machine learning on graphs. Apache-2 - kglib (πŸ₯‰16 Β· ⭐ 550 Β· πŸ’€) - TypeDB-ML is the Machine Learning integrations library for TypeDB. Apache-2 - Euler (πŸ₯‰15 Β· ⭐ 2.9K Β· πŸ’€) - A distributed graph deep learning framework. Apache-2 - GraphEmbedding (πŸ₯‰14 Β· ⭐ 3.8K Β· πŸ’€) - Implementation and experiments of graph embedding.. MIT - GraphSAGE (πŸ₯‰14 Β· ⭐ 3.5K Β· πŸ’€) - Representation learning on large graphs using stochastic.. MIT - OpenNE (πŸ₯‰14 Β· ⭐ 1.7K Β· πŸ’€) - An Open-Source Package for Network Embedding (NE). MIT - ptgnn (πŸ₯‰14 Β· ⭐ 380 Β· πŸ’€) - A PyTorch Graph Neural Network Library. MIT - OpenKE (πŸ₯‰13 Β· ⭐ 3.9K Β· πŸ’€) - An Open-Source Package for Knowledge Embedding (KE). ❗Unlicensed


Audio Data

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Libraries for audio analysis, manipulation, transformation, and extraction, as well as speech recognition and music generation tasks.

speechbrain (πŸ₯‡39 Β· ⭐ 9.9K) - A PyTorch-based Speech Toolkit. Apache-2 - [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 1.5K Β· πŸ“¦ 3.6K Β· πŸ“‹ 1.2K - 12% open Β· ⏱️ 28.05.2025): 
git clone https://github.com/speechbrain/speechbrain
- [PyPi](https://pypi.org/project/speechbrain) (πŸ“₯ 830K / month Β· πŸ“¦ 79 Β· ⏱️ 07.04.2025): 
pip install speechbrain
espnet (πŸ₯‡38 Β· ⭐ 9.2K) - End-to-End Speech Processing Toolkit. Apache-2 - [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 500 Β· πŸ”€ 2.2K Β· πŸ“₯ 84 Β· πŸ“¦ 460 Β· πŸ“‹ 2.6K - 14% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/espnet/espnet
- [PyPi](https://pypi.org/project/espnet) (πŸ“₯ 18K / month Β· πŸ“¦ 12 Β· ⏱️ 04.12.2024): 
pip install espnet
SpeechRecognition (πŸ₯ˆ35 Β· ⭐ 8.7K) - Speech recognition module for Python, supporting several.. BSD-3 - [GitHub](https://github.com/Uberi/speech_recognition) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 2.4K Β· πŸ“¦ 21 Β· πŸ“‹ 670 - 48% open Β· ⏱️ 18.05.2025): 
git clone https://github.com/Uberi/speech_recognition
- [PyPi](https://pypi.org/project/SpeechRecognition) (πŸ“₯ 1.4M / month Β· πŸ“¦ 730 Β· ⏱️ 12.05.2025): 
pip install SpeechRecognition
- [Conda](https://anaconda.org/conda-forge/speechrecognition) (πŸ“₯ 270K Β· ⏱️ 12.05.2025): 
conda install -c conda-forge speechrecognition
librosa (πŸ₯ˆ35 Β· ⭐ 7.6K) - Python library for audio and music analysis. ISC - [GitHub](https://github.com/librosa/librosa) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 980 Β· πŸ“‹ 1.3K - 5% open Β· ⏱️ 19.05.2025): 
git clone https://github.com/librosa/librosa
- [PyPi](https://pypi.org/project/librosa) (πŸ“₯ 3.7M / month Β· πŸ“¦ 1.6K Β· ⏱️ 11.03.2025): 
pip install librosa
- [Conda](https://anaconda.org/conda-forge/librosa) (πŸ“₯ 900K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge librosa
torchaudio (πŸ₯ˆ35 Β· ⭐ 2.7K) - Data manipulation and transformation for audio signal.. BSD-2 - [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 690 Β· πŸ“‹ 1K - 28% open Β· ⏱️ 20.05.2025): 
git clone https://github.com/pytorch/audio
- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 12M / month Β· πŸ“¦ 1.9K Β· ⏱️ 23.04.2025): 
pip install torchaudio
spleeter (πŸ₯ˆ33 Β· ⭐ 27K) - Deezer source separation library including pretrained models. MIT - [GitHub](https://github.com/deezer/spleeter) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 2.9K Β· πŸ“₯ 4M Β· πŸ“¦ 1K Β· πŸ“‹ 820 - 31% open Β· ⏱️ 02.04.2025): 
git clone https://github.com/deezer/spleeter
- [PyPi](https://pypi.org/project/spleeter) (πŸ“₯ 33K / month Β· πŸ“¦ 18 Β· ⏱️ 03.04.2025): 
pip install spleeter
- [Conda](https://anaconda.org/conda-forge/spleeter) (πŸ“₯ 110K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge spleeter
Magenta (πŸ₯ˆ33 Β· ⭐ 19K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2 - [GitHub](https://github.com/magenta/magenta) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 3.7K Β· πŸ“¦ 590 Β· πŸ“‹ 1K - 41% open Β· ⏱️ 17.01.2025): 
git clone https://github.com/magenta/magenta
- [PyPi](https://pypi.org/project/magenta) (πŸ“₯ 8.1K / month Β· πŸ“¦ 5 Β· ⏱️ 01.08.2022): 
pip install magenta
audiomentations (πŸ₯ˆ32 Β· ⭐ 2.1K) - A Python library for audio data augmentation. Useful for.. MIT - [GitHub](https://github.com/iver56/audiomentations) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 200 Β· πŸ“¦ 800 Β· πŸ“‹ 200 - 26% open Β· ⏱️ 26.05.2025): 
git clone https://github.com/iver56/audiomentations
- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 580K / month Β· πŸ“¦ 28 Β· ⏱️ 05.05.2025): 
pip install audiomentations
Porcupine (πŸ₯ˆ31 Β· ⭐ 4.1K) - On-device wake word detection powered by deep learning. Apache-2 - [GitHub](https://github.com/Picovoice/porcupine) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 520 Β· πŸ“¦ 48 Β· πŸ“‹ 580 - 0% open Β· ⏱️ 06.05.2025): 
git clone https://github.com/Picovoice/Porcupine
- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 23K / month Β· πŸ“¦ 38 Β· ⏱️ 05.02.2025): 
pip install pvporcupine
python-soundfile (πŸ₯ˆ30 Β· ⭐ 770 Β· πŸ“‰) - SoundFile is an audio library based on libsndfile, CFFI,.. BSD-3 - [GitHub](https://github.com/bastibe/python-soundfile) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 110 Β· πŸ“₯ 21K Β· πŸ“‹ 260 - 46% open Β· ⏱️ 28.04.2025): 
git clone https://github.com/bastibe/python-soundfile
- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 6.5M / month Β· πŸ“¦ 1.1K Β· ⏱️ 25.01.2025): 
pip install soundfile
- [Conda](https://anaconda.org/anaconda/pysoundfile): 
conda install -c anaconda pysoundfile
pyAudioAnalysis (πŸ₯‰28 Β· ⭐ 6.1K) - Python Audio Analysis Library: Feature Extraction,.. Apache-2 - [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 1.2K Β· πŸ“¦ 650 Β· πŸ“‹ 320 - 62% open Β· ⏱️ 28.03.2025): 
git clone https://github.com/tyiannak/pyAudioAnalysis
- [PyPi](https://pypi.org/project/pyAudioAnalysis) (πŸ“₯ 17K / month Β· πŸ“¦ 12 Β· ⏱️ 07.02.2022): 
pip install pyAudioAnalysis
tinytag (πŸ₯‰28 Β· ⭐ 760) - Python library for reading audio file metadata. MIT - [GitHub](https://github.com/tinytag/tinytag) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 100 Β· πŸ“¦ 1.2K Β· πŸ“‹ 120 - 3% open Β· ⏱️ 05.05.2025): 
git clone https://github.com/devsnd/tinytag
- [PyPi](https://pypi.org/project/tinytag) (πŸ“₯ 75K / month Β· πŸ“¦ 120 Β· ⏱️ 23.04.2025): 
pip install tinytag
Madmom (πŸ₯‰27 Β· ⭐ 1.4K Β· πŸ’€) - Python audio and music signal processing library. BSD-3 - [GitHub](https://github.com/CPJKU/madmom) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 240 Β· πŸ“¦ 500 Β· πŸ“‹ 280 - 24% open Β· ⏱️ 25.08.2024): 
git clone https://github.com/CPJKU/madmom
- [PyPi](https://pypi.org/project/madmom) (πŸ“₯ 3.8K / month Β· πŸ“¦ 27 Β· ⏱️ 14.11.2018): 
pip install madmom
DDSP (πŸ₯‰25 Β· ⭐ 3K Β· πŸ’€) - DDSP: Differentiable Digital Signal Processing. Apache-2 - [GitHub](https://github.com/magenta/ddsp) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 340 Β· πŸ“¦ 68 Β· πŸ“‹ 170 - 28% open Β· ⏱️ 23.09.2024): 
git clone https://github.com/magenta/ddsp
- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 3.2K / month Β· πŸ“¦ 1 Β· ⏱️ 25.05.2022): 
pip install ddsp
- [Conda](https://anaconda.org/conda-forge/ddsp) (πŸ“₯ 22K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge ddsp
nnAudio (πŸ₯‰24 Β· ⭐ 1.1K) - Audio processing by using pytorch 1D convolution network. MIT - [GitHub](https://github.com/KinWaiCheuk/nnAudio) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 93 Β· πŸ“¦ 380 Β· πŸ“‹ 63 - 28% open Β· ⏱️ 16.05.2025): 
git clone https://github.com/KinWaiCheuk/nnAudio
- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 62K / month Β· πŸ“¦ 4 Β· ⏱️ 13.02.2024): 
pip install nnAudio
Julius (πŸ₯‰23 Β· ⭐ 440) - Fast PyTorch based DSP for audio and 1D signals. MIT - [GitHub](https://github.com/adefossez/julius) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 25 Β· πŸ“¦ 3K Β· πŸ“‹ 12 - 16% open Β· ⏱️ 17.02.2025): 
git clone https://github.com/adefossez/julius
- [PyPi](https://pypi.org/project/julius) (πŸ“₯ 510K / month Β· πŸ“¦ 44 Β· ⏱️ 20.09.2022): 
pip install julius
DeepSpeech (πŸ₯‰22 Β· ⭐ 26K) - DeepSpeech is an open source embedded (offline, on-device).. MPL-2.0 - [GitHub](https://github.com/mozilla/DeepSpeech) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 4K): 
git clone https://github.com/mozilla/DeepSpeech
- [PyPi](https://pypi.org/project/deepspeech) (πŸ“₯ 4.6K / month Β· πŸ“¦ 24 Β· ⏱️ 19.12.2020): 
pip install deepspeech
- [Conda](https://anaconda.org/conda-forge/deepspeech) (πŸ“₯ 3.8K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge deepspeech
Show 12 hidden projects... - Coqui TTS (πŸ₯‡36 Β· ⭐ 40K Β· πŸ’€) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 - Pydub (πŸ₯‡36 Β· ⭐ 9.4K Β· πŸ’€) - Manipulate audio with a simple and easy high level interface. MIT - audioread (πŸ₯ˆ30 Β· ⭐ 510 Β· πŸ’€) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio.. MIT - Essentia (πŸ₯‰29 Β· ⭐ 3.1K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 - aubio (πŸ₯‰28 Β· ⭐ 3.4K) - a library for audio and music analysis. ❗️GPL-3.0 - TTS (πŸ₯‰26 Β· ⭐ 9.9K Β· πŸ’€) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 - python_speech_features (πŸ₯‰25 Β· ⭐ 2.4K Β· πŸ’€) - This library provides common speech features for ASR.. MIT - Dejavu (πŸ₯‰23 Β· ⭐ 6.6K Β· πŸ’€) - Audio fingerprinting and recognition in Python. MIT - kapre (πŸ₯‰22 Β· ⭐ 930 Β· πŸ’€) - kapre: Keras Audio Preprocessors. MIT - TimeSide (πŸ₯‰20 Β· ⭐ 380 Β· πŸ’€) - scalable audio processing framework and server written in.. ❗️AGPL-3.0 - Muda (πŸ₯‰17 Β· ⭐ 230 Β· πŸ’€) - A library for augmenting annotated audio data. ISC - textlesslib (πŸ₯‰10 Β· ⭐ 540 Β· πŸ’€) - Library for Textless Spoken Language Processing. MIT


Geospatial Data

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Libraries to load, process, analyze, and write geographic data as well as libraries for spatial analysis, map visualization, and geocoding.

pydeck (πŸ₯‡43 Β· ⭐ 13K) - WebGL2 powered visualization framework. MIT - [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 2.1K Β· πŸ“¦ 9.1K Β· πŸ“‹ 3.2K - 13% open Β· ⏱️ 27.05.2025): 
git clone https://github.com/visgl/deck.gl
- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 9M / month Β· πŸ“¦ 160 Β· ⏱️ 21.03.2025): 
pip install pydeck
- [Conda](https://anaconda.org/conda-forge/pydeck) (πŸ“₯ 760K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pydeck
- [npm](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 550K / month Β· πŸ“¦ 350 Β· ⏱️ 27.05.2025): 
npm install deck.gl
Shapely (πŸ₯‡40 Β· ⭐ 4.1K) - Manipulation and analysis of geometric objects. BSD-3 - [GitHub](https://github.com/shapely/shapely) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 590 Β· πŸ“₯ 3.9K Β· πŸ“¦ 110K Β· πŸ“‹ 1.3K - 18% open Β· ⏱️ 27.05.2025): 
git clone https://github.com/shapely/shapely
- [PyPi](https://pypi.org/project/shapely) (πŸ“₯ 52M / month Β· πŸ“¦ 4.2K Β· ⏱️ 19.05.2025): 
pip install shapely
- [Conda](https://anaconda.org/conda-forge/shapely) (πŸ“₯ 12M Β· ⏱️ 19.05.2025): 
conda install -c conda-forge shapely
folium (πŸ₯‡39 Β· ⭐ 7.1K) - Python Data. Leaflet.js Maps. MIT - [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.2K Β· πŸ“¦ 62K Β· πŸ“‹ 1.2K - 6% open Β· ⏱️ 17.05.2025): 
git clone https://github.com/python-visualization/folium
- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 2.4M / month Β· πŸ“¦ 980 Β· ⏱️ 15.05.2025): 
pip install folium
- [Conda](https://anaconda.org/conda-forge/folium) (πŸ“₯ 3.8M Β· ⏱️ 16.05.2025): 
conda install -c conda-forge folium
GeoPandas (πŸ₯ˆ38 Β· ⭐ 4.8K) - Python tools for geographic data. BSD-3 - [GitHub](https://github.com/geopandas/geopandas) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 950 Β· πŸ“₯ 3K Β· πŸ“¦ 57K Β· πŸ“‹ 1.8K - 25% open Β· ⏱️ 27.05.2025): 
git clone https://github.com/geopandas/geopandas
- [PyPi](https://pypi.org/project/geopandas) (πŸ“₯ 8M / month Β· πŸ“¦ 2.8K Β· ⏱️ 02.07.2024): 
pip install geopandas
- [Conda](https://anaconda.org/conda-forge/geopandas) (πŸ“₯ 4.7M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge geopandas
Rasterio (πŸ₯ˆ38 Β· ⭐ 2.4K) - Rasterio reads and writes geospatial raster datasets. BSD-3 - [GitHub](https://github.com/rasterio/rasterio) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 540 Β· πŸ“₯ 1K Β· πŸ“¦ 18K Β· πŸ“‹ 1.9K - 8% open Β· ⏱️ 20.05.2025): 
git clone https://github.com/rasterio/rasterio
- [PyPi](https://pypi.org/project/rasterio) (πŸ“₯ 2.3M / month Β· πŸ“¦ 1.5K Β· ⏱️ 02.12.2024): 
pip install rasterio
- [Conda](https://anaconda.org/conda-forge/rasterio) (πŸ“₯ 4.7M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge rasterio
ArcGIS API (πŸ₯ˆ36 Β· ⭐ 2K) - Documentation and samples for ArcGIS API for Python. Apache-2 - [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 97 Β· πŸ”€ 1.1K Β· πŸ“₯ 15K Β· πŸ“¦ 960 Β· πŸ“‹ 850 - 9% open Β· ⏱️ 27.05.2025): 
git clone https://github.com/Esri/arcgis-python-api
- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 130K / month Β· πŸ“¦ 41 Β· ⏱️ 27.05.2025): 
pip install arcgis
- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook): 
docker pull esridocker/arcgis-api-python-notebook
pyproj (πŸ₯ˆ36 Β· ⭐ 1.1K) - Python interface to PROJ (cartographic projections and coordinate.. MIT - [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 220 Β· πŸ“¦ 45K Β· πŸ“‹ 640 - 5% open Β· ⏱️ 25.05.2025): 
git clone https://github.com/pyproj4/pyproj
- [PyPi](https://pypi.org/project/pyproj) (πŸ“₯ 11M / month Β· πŸ“¦ 1.9K Β· ⏱️ 16.02.2025): 
pip install pyproj
- [Conda](https://anaconda.org/conda-forge/pyproj) (πŸ“₯ 10M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pyproj
Fiona (πŸ₯ˆ35 Β· ⭐ 1.2K) - Fiona reads and writes geographic data files. BSD-3 - [GitHub](https://github.com/Toblerity/Fiona) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 210 Β· πŸ“¦ 26K Β· πŸ“‹ 810 - 4% open Β· ⏱️ 20.02.2025): 
git clone https://github.com/Toblerity/Fiona
- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 4.4M / month Β· πŸ“¦ 380 Β· ⏱️ 16.09.2024): 
pip install fiona
- [Conda](https://anaconda.org/conda-forge/fiona) (πŸ“₯ 6.9M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge fiona
ipyleaflet (πŸ₯‰33 Β· ⭐ 1.5K) - A Jupyter - Leaflet.js bridge. MIT - [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 360 Β· πŸ“¦ 18K Β· πŸ“‹ 670 - 45% open Β· ⏱️ 05.12.2024): 
git clone https://github.com/jupyter-widgets/ipyleaflet
- [PyPi](https://pypi.org/project/ipyleaflet) (πŸ“₯ 240K / month Β· πŸ“¦ 280 Β· ⏱️ 22.07.2024): 
pip install ipyleaflet
- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (πŸ“₯ 1.5M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge ipyleaflet
- [npm](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 840 / month Β· πŸ“¦ 9 Β· ⏱️ 22.07.2024): 
npm install jupyter-leaflet
geojson (πŸ₯‰31 Β· ⭐ 960) - Python bindings and utilities for GeoJSON. BSD-3 - [GitHub](https://github.com/jazzband/geojson) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 120 Β· πŸ“¦ 20K Β· πŸ“‹ 100 - 25% open Β· ⏱️ 21.12.2024): 
git clone https://github.com/jazzband/geojson
- [PyPi](https://pypi.org/project/geojson) (πŸ“₯ 3M / month Β· πŸ“¦ 720 Β· ⏱️ 21.12.2024): 
pip install geojson
- [Conda](https://anaconda.org/conda-forge/geojson) (πŸ“₯ 970K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge geojson
PySAL (πŸ₯‰30 Β· ⭐ 1.4K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3 - [GitHub](https://github.com/pysal/pysal) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 300 Β· πŸ“¦ 1.8K Β· πŸ“‹ 660 - 3% open Β· ⏱️ 06.02.2025): 
git clone https://github.com/pysal/pysal
- [PyPi](https://pypi.org/project/pysal) (πŸ“₯ 30K / month Β· πŸ“¦ 59 Β· ⏱️ 06.02.2025): 
pip install pysal
- [Conda](https://anaconda.org/conda-forge/pysal) (πŸ“₯ 630K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pysal
EarthPy (πŸ₯‰29 Β· ⭐ 520) - A package built to support working with spatial data using open source.. BSD-3 - [GitHub](https://github.com/earthlab/earthpy) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 160 Β· πŸ“₯ 36 Β· πŸ“¦ 440 Β· πŸ“‹ 250 - 16% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/earthlab/earthpy
- [PyPi](https://pypi.org/project/earthpy) (πŸ“₯ 12K / month Β· πŸ“¦ 17 Β· ⏱️ 01.10.2021): 
pip install earthpy
- [Conda](https://anaconda.org/conda-forge/earthpy) (πŸ“₯ 93K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge earthpy
GeoViews (πŸ₯‰28 Β· ⭐ 620) - Simple, concise geographical visualization in Python. BSD-3 - [GitHub](https://github.com/holoviz/geoviews) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 77 Β· πŸ“¦ 1.3K Β· πŸ“‹ 360 - 31% open Β· ⏱️ 23.05.2025): 
git clone https://github.com/holoviz/geoviews
- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 17K / month Β· πŸ“¦ 63 Β· ⏱️ 17.12.2024): 
pip install geoviews
- [Conda](https://anaconda.org/conda-forge/geoviews) (πŸ“₯ 300K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge geoviews
Mapbox GL (πŸ₯‰24 Β· ⭐ 680) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT - [GitHub](https://github.com/mapbox/mapboxgl-jupyter) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 140 Β· πŸ“¦ 240 Β· πŸ“‹ 110 - 38% open Β· ⏱️ 06.02.2025): 
git clone https://github.com/mapbox/mapboxgl-jupyter
- [PyPi](https://pypi.org/project/mapboxgl) (πŸ“₯ 10K / month Β· πŸ“¦ 12 Β· ⏱️ 02.06.2019): 
pip install mapboxgl
pymap3d (πŸ₯‰24 Β· ⭐ 420) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. BSD-2 - [GitHub](https://github.com/geospace-code/pymap3d) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 87 Β· πŸ“¦ 510 Β· πŸ“‹ 60 - 15% open Β· ⏱️ 08.01.2025): 
git clone https://github.com/geospace-code/pymap3d
- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 360K / month Β· πŸ“¦ 49 Β· ⏱️ 11.02.2024): 
pip install pymap3d
- [Conda](https://anaconda.org/conda-forge/pymap3d) (πŸ“₯ 100K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pymap3d
Show 7 hidden projects... - Satpy (πŸ₯ˆ34 Β· ⭐ 1.1K) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 - geopy (πŸ₯‰33 Β· ⭐ 4.6K Β· πŸ’€) - Geocoding library for Python. MIT - Geocoder (πŸ₯‰33 Β· ⭐ 1.6K Β· πŸ’€) - Python Geocoder. MIT - Sentinelsat (πŸ₯‰27 Β· ⭐ 1K Β· πŸ’€) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 - prettymaps (πŸ₯‰26 Β· ⭐ 12K) - Draw pretty maps from OpenStreetMap data! Built with osmnx.. ❗️AGPL-3.0 - gmaps (πŸ₯‰23 Β· ⭐ 760 Β· πŸ’€) - Google maps for Jupyter notebooks. BSD-3 - geoplotlib (πŸ₯‰22 Β· ⭐ 1K Β· πŸ’€) - python toolbox for visualizing geographical data and making maps. MIT


Financial Data

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Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, technical analysis, and other tasks on financial data.

yfinance (πŸ₯‡43 Β· ⭐ 18K) - Download market data from Yahoo! Finances API. Apache-2 - [GitHub](https://github.com/ranaroussi/yfinance) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.7K Β· πŸ“¦ 81K Β· πŸ“‹ 1.6K - 9% open Β· ⏱️ 14.05.2025): 
git clone https://github.com/ranaroussi/yfinance
- [PyPi](https://pypi.org/project/yfinance) (πŸ“₯ 3.5M / month Β· πŸ“¦ 970 Β· ⏱️ 12.05.2025): 
pip install yfinance
- [Conda](https://anaconda.org/ranaroussi/yfinance) (πŸ“₯ 98K Β· ⏱️ 25.03.2025): 
conda install -c ranaroussi yfinance
Qlib (πŸ₯‡32 Β· ⭐ 23K) - Qlib is an AI-oriented Quant investment platform that aims to use AI tech.. MIT - [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 3.5K Β· πŸ“₯ 830 Β· πŸ“¦ 21 Β· πŸ“‹ 970 - 25% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/microsoft/qlib
- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 8.8K / month Β· πŸ“¦ 1 Β· ⏱️ 23.12.2024): 
pip install pyqlib
bt (πŸ₯ˆ30 Β· ⭐ 2.5K) - bt - flexible backtesting for Python. MIT - [GitHub](https://github.com/pmorissette/bt) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 440 Β· πŸ“¦ 1.7K Β· πŸ“‹ 350 - 23% open Β· ⏱️ 08.04.2025): 
git clone https://github.com/pmorissette/bt
- [PyPi](https://pypi.org/project/bt) (πŸ“₯ 7.9K / month Β· πŸ“¦ 15 Β· ⏱️ 12.04.2025): 
pip install bt
- [Conda](https://anaconda.org/conda-forge/bt) (πŸ“₯ 86K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge bt
TensorTrade (πŸ₯‰27 Β· ⭐ 5.2K Β· πŸ’€) - An open source reinforcement learning framework for.. Apache-2 - [GitHub](https://github.com/tensortrade-org/tensortrade) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 1.1K Β· πŸ“¦ 70 Β· πŸ“‹ 260 - 20% open Β· ⏱️ 09.06.2024): 
git clone https://github.com/tensortrade-org/tensortrade
- [PyPi](https://pypi.org/project/tensortrade) (πŸ“₯ 1K / month Β· πŸ“¦ 1 Β· ⏱️ 10.05.2021): 
pip install tensortrade
- [Conda](https://anaconda.org/conda-forge/tensortrade) (πŸ“₯ 4.9K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge tensortrade
Alpha Vantage (πŸ₯‰27 Β· ⭐ 4.5K) - A python wrapper for Alpha Vantage API for financial data. MIT - [GitHub](https://github.com/RomelTorres/alpha_vantage) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 750 Β· πŸ“‹ 290 - 0% open Β· ⏱️ 01.05.2025): 
git clone https://github.com/RomelTorres/alpha_vantage
- [PyPi](https://pypi.org/project/alpha_vantage) (πŸ“₯ 67K / month Β· πŸ“¦ 35 Β· ⏱️ 18.07.2024): 
pip install alpha_vantage
- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (πŸ“₯ 9.2K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge alpha_vantage
ffn (πŸ₯‰27 Β· ⭐ 2.3K) - ffn - a financial function library for Python. MIT - [GitHub](https://github.com/pmorissette/ffn) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 320 Β· πŸ“¦ 560 Β· πŸ“‹ 140 - 17% open Β· ⏱️ 01.04.2025): 
git clone https://github.com/pmorissette/ffn
- [PyPi](https://pypi.org/project/ffn) (πŸ“₯ 22K / month Β· πŸ“¦ 22 Β· ⏱️ 11.02.2025): 
pip install ffn
- [Conda](https://anaconda.org/conda-forge/ffn) (πŸ“₯ 20K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge ffn
stockstats (πŸ₯‰26 Β· ⭐ 1.4K Β· πŸ“ˆ) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3 - [GitHub](https://github.com/jealous/stockstats) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 300 Β· πŸ“¦ 1.3K Β· πŸ“‹ 130 - 10% open Β· ⏱️ 18.05.2025): 
git clone https://github.com/jealous/stockstats
- [PyPi](https://pypi.org/project/stockstats) (πŸ“₯ 15K / month Β· πŸ“¦ 14 Β· ⏱️ 18.05.2025): 
pip install stockstats
finmarketpy (πŸ₯‰25 Β· ⭐ 3.6K) - Python library for backtesting trading strategies & analyzing.. Apache-2 - [GitHub](https://github.com/cuemacro/finmarketpy) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 510 Β· πŸ“₯ 57 Β· πŸ“¦ 16 Β· πŸ“‹ 35 - 88% open Β· ⏱️ 10.03.2025): 
git clone https://github.com/cuemacro/finmarketpy
- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 220 / month Β· ⏱️ 10.03.2025): 
pip install finmarketpy
tf-quant-finance (πŸ₯‰21 Β· ⭐ 4.9K) - High-performance TensorFlow library for quantitative.. Apache-2 - [GitHub](https://github.com/google/tf-quant-finance) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 610 Β· πŸ“‹ 63 - 55% open Β· ⏱️ 21.03.2025): 
git clone https://github.com/google/tf-quant-finance
- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 320 / month Β· πŸ“¦ 3 Β· ⏱️ 19.08.2022): 
pip install tf-quant-finance
Show 16 hidden projects... - zipline (πŸ₯‡33 Β· ⭐ 19K Β· πŸ’€) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2 - pyfolio (πŸ₯‡32 Β· ⭐ 6K Β· πŸ’€) - Portfolio and risk analytics in Python. Apache-2 - ta (πŸ₯ˆ31 Β· ⭐ 4.6K Β· πŸ’€) - Technical Analysis Library using Pandas and Numpy. MIT - arch (πŸ₯ˆ30 Β· ⭐ 1.4K) - ARCH models in Python. ❗Unlicensed - backtrader (πŸ₯ˆ29 Β· ⭐ 17K Β· πŸ’€) - Python Backtesting library for trading strategies. ❗️GPL-3.0 - IB-insync (πŸ₯ˆ29 Β· ⭐ 3K Β· πŸ’€) - Python sync/async framework for Interactive Brokers API. BSD-2 - Backtesting.py (πŸ₯ˆ28 Β· ⭐ 6.6K) - Backtest trading strategies in Python. ❗️AGPL-3.0 - Alphalens (πŸ₯ˆ28 Β· ⭐ 3.7K Β· πŸ’€) - Performance analysis of predictive (alpha) stock factors. Apache-2 - empyrical (πŸ₯ˆ28 Β· ⭐ 1.4K Β· πŸ’€) - Common financial risk and performance metrics. Used by.. Apache-2 - Enigma Catalyst (πŸ₯‰25 Β· ⭐ 2.5K Β· πŸ’€) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2 - PyAlgoTrade (πŸ₯‰24 Β· ⭐ 4.6K Β· πŸ’€) - Python Algorithmic Trading Library. Apache-2 - FinTA (πŸ₯‰24 Β· ⭐ 2.2K Β· πŸ’€) - Common financial technical indicators implemented in Pandas. ❗️LGPL-3.0 - Crypto Signals (πŸ₯‰22 Β· ⭐ 5.2K Β· πŸ’€) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT - FinQuant (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - A program for financial portfolio management, analysis and.. MIT - surpriver (πŸ₯‰12 Β· ⭐ 1.8K Β· πŸ’€) - Find big moving stocks before they move using machine.. ❗️GPL-3.0 - pyrtfolio (πŸ₯‰9 Β· ⭐ 150 Β· πŸ’€) - Python package to generate stock portfolios. ❗️GPL-3.0


Time Series Data

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Libraries for forecasting, anomaly detection, feature extraction, and machine learning on time-series and sequential data.

sktime (πŸ₯‡40 Β· ⭐ 9K) - A unified framework for machine learning with time series. BSD-3 - [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 1.6K Β· πŸ“₯ 110 Β· πŸ“¦ 4.5K Β· πŸ“‹ 2.9K - 38% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/alan-turing-institute/sktime
- [PyPi](https://pypi.org/project/sktime) (πŸ“₯ 1M / month Β· πŸ“¦ 140 Β· ⏱️ 12.04.2025): 
pip install sktime
- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (πŸ“₯ 1.1M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge sktime-all-extras
Prophet (πŸ₯‡34 Β· ⭐ 19K) - Tool for producing high quality forecasts for time series data that has.. MIT - [GitHub](https://github.com/facebook/prophet) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 4.5K Β· πŸ“₯ 3.1K Β· πŸ“¦ 21 Β· πŸ“‹ 2.2K - 20% open Β· ⏱️ 17.05.2025): 
git clone https://github.com/facebook/prophet
- [PyPi](https://pypi.org/project/fbprophet) (πŸ“₯ 150K / month Β· πŸ“¦ 91 Β· ⏱️ 05.09.2020): 
pip install fbprophet
- [Conda](https://anaconda.org/conda-forge/prophet) (πŸ“₯ 1.4M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge prophet
StatsForecast (πŸ₯‡33 Β· ⭐ 4.4K) - Lightning fast forecasting with statistical and econometric.. Apache-2 - [GitHub](https://github.com/Nixtla/statsforecast) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 310 Β· πŸ“¦ 1.7K Β· πŸ“‹ 360 - 30% open Β· ⏱️ 29.04.2025): 
git clone https://github.com/Nixtla/statsforecast
- [PyPi](https://pypi.org/project/statsforecast) (πŸ“₯ 940K / month Β· πŸ“¦ 68 Β· ⏱️ 18.02.2025): 
pip install statsforecast
- [Conda](https://anaconda.org/conda-forge/statsforecast) (πŸ“₯ 180K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge statsforecast
tsfresh (πŸ₯ˆ32 Β· ⭐ 8.8K) - Automatic extraction of relevant features from time series:. MIT - [GitHub](https://github.com/blue-yonder/tsfresh) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 1.2K Β· πŸ“¦ 21 Β· πŸ“‹ 550 - 12% open Β· ⏱️ 16.02.2025): 
git clone https://github.com/blue-yonder/tsfresh
- [PyPi](https://pypi.org/project/tsfresh) (πŸ“₯ 250K / month Β· πŸ“¦ 100 Β· ⏱️ 16.02.2025): 
pip install tsfresh
- [Conda](https://anaconda.org/conda-forge/tsfresh) (πŸ“₯ 1.5M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge tsfresh
Darts (πŸ₯ˆ32 Β· ⭐ 8.6K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2 - [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 930 Β· πŸ“‹ 1.7K - 14% open Β· ⏱️ 28.05.2025): 
git clone https://github.com/unit8co/darts
- [PyPi](https://pypi.org/project/u8darts) (πŸ“₯ 74K / month Β· πŸ“¦ 10 Β· ⏱️ 18.04.2025): 
pip install u8darts
- [Conda](https://anaconda.org/conda-forge/u8darts-all) (πŸ“₯ 80K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge u8darts-all
- [Docker Hub](https://hub.docker.com/r/unit8/darts) (πŸ“₯ 1.6K Β· ⏱️ 18.04.2025): 
docker pull unit8/darts
pytorch-forecasting (πŸ₯ˆ32 Β· ⭐ 4.3K) - Time series forecasting with PyTorch. MIT - [GitHub](https://github.com/sktime/pytorch-forecasting) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 670 Β· πŸ“¦ 630 Β· πŸ“‹ 860 - 61% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/jdb78/pytorch-forecasting
- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 140K / month Β· πŸ“¦ 22 Β· ⏱️ 06.02.2025): 
pip install pytorch-forecasting
- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (πŸ“₯ 78K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pytorch-forecasting
NeuralForecast (πŸ₯ˆ32 Β· ⭐ 3.5K) - Scalable and user friendly neural forecasting algorithms. Apache-2 - [GitHub](https://github.com/Nixtla/neuralforecast) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 410 Β· πŸ“¦ 390 Β· πŸ“‹ 620 - 17% open Β· ⏱️ 28.05.2025): 
git clone https://github.com/Nixtla/neuralforecast
- [PyPi](https://pypi.org/project/neuralforecast) (πŸ“₯ 110K / month Β· πŸ“¦ 28 Β· ⏱️ 13.05.2025): 
pip install neuralforecast
- [Conda](https://anaconda.org/conda-forge/neuralforecast) (πŸ“₯ 38K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge neuralforecast
pmdarima (πŸ₯ˆ32 Β· ⭐ 1.6K) - A statistical library designed to fill the void in Pythons time series.. MIT - [GitHub](https://github.com/alkaline-ml/pmdarima) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 240 Β· πŸ“¦ 12K Β· πŸ“‹ 340 - 19% open Β· ⏱️ 07.11.2024): 
git clone https://github.com/alkaline-ml/pmdarima
- [PyPi](https://pypi.org/project/pmdarima) (πŸ“₯ 2.7M / month Β· πŸ“¦ 150 Β· ⏱️ 23.10.2023): 
pip install pmdarima
- [Conda](https://anaconda.org/conda-forge/pmdarima) (πŸ“₯ 1.3M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pmdarima
skforecast (πŸ₯ˆ32 Β· ⭐ 1.3K) - Time series forecasting with machine learning models. BSD-3 - [GitHub](https://github.com/skforecast/skforecast) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 160 Β· πŸ“¦ 470 Β· πŸ“‹ 200 - 14% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/JoaquinAmatRodrigo/skforecast
- [PyPi](https://pypi.org/project/skforecast) (πŸ“₯ 80K / month Β· πŸ“¦ 18 Β· ⏱️ 01.05.2025): 
pip install skforecast
STUMPY (πŸ₯ˆ31 Β· ⭐ 3.9K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3 - [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 330 Β· πŸ“¦ 1.4K Β· πŸ“‹ 540 - 13% open Β· ⏱️ 08.04.2025): 
git clone https://github.com/TDAmeritrade/stumpy
- [PyPi](https://pypi.org/project/stumpy) (πŸ“₯ 310K / month Β· πŸ“¦ 30 Β· ⏱️ 09.07.2024): 
pip install stumpy
- [Conda](https://anaconda.org/conda-forge/stumpy) (πŸ“₯ 1.1M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge stumpy
tslearn (πŸ₯ˆ31 Β· ⭐ 3K Β· πŸ’€) - The machine learning toolkit for time series analysis in Python. BSD-2 - [GitHub](https://github.com/tslearn-team/tslearn) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 340 Β· πŸ“¦ 1.8K Β· πŸ“‹ 340 - 41% open Β· ⏱️ 01.07.2024): 
git clone https://github.com/tslearn-team/tslearn
- [PyPi](https://pypi.org/project/tslearn) (πŸ“₯ 360K / month Β· πŸ“¦ 79 Β· ⏱️ 12.12.2023): 
pip install tslearn
- [Conda](https://anaconda.org/conda-forge/tslearn) (πŸ“₯ 1.6M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge tslearn
GluonTS (πŸ₯ˆ30 Β· ⭐ 4.9K) - Probabilistic time series modeling in Python. Apache-2 - [GitHub](https://github.com/awslabs/gluonts) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 780 Β· πŸ“‹ 970 - 34% open Β· ⏱️ 08.04.2025): 
git clone https://github.com/awslabs/gluon-ts
- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 780K / month Β· πŸ“¦ 36 Β· ⏱️ 08.04.2025): 
pip install gluonts
- [Conda](https://anaconda.org/anaconda/gluonts) (πŸ“₯ 2K Β· ⏱️ 22.04.2025): 
conda install -c anaconda gluonts
Streamz (πŸ₯‰29 Β· ⭐ 1.3K) - Real-time stream processing for python. BSD-3 - [GitHub](https://github.com/python-streamz/streamz) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 150 Β· πŸ“¦ 550 Β· πŸ“‹ 270 - 44% open Β· ⏱️ 22.11.2024): 
git clone https://github.com/python-streamz/streamz
- [PyPi](https://pypi.org/project/streamz) (πŸ“₯ 26K / month Β· πŸ“¦ 57 Β· ⏱️ 27.07.2022): 
pip install streamz
- [Conda](https://anaconda.org/conda-forge/streamz) (πŸ“₯ 2.2M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge streamz
pyts (πŸ₯‰27 Β· ⭐ 1.8K) - A Python package for time series classification. BSD-3 - [GitHub](https://github.com/johannfaouzi/pyts) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 170 Β· πŸ“¦ 870 Β· πŸ“‹ 87 - 58% open Β· ⏱️ 27.04.2025): 
git clone https://github.com/johannfaouzi/pyts
- [PyPi](https://pypi.org/project/pyts) (πŸ“₯ 230K / month Β· πŸ“¦ 45 Β· ⏱️ 18.06.2023): 
pip install pyts
- [Conda](https://anaconda.org/conda-forge/pyts) (πŸ“₯ 33K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pyts
NeuralProphet (πŸ₯‰26 Β· ⭐ 4.1K Β· πŸ’€) - NeuralProphet: A simple forecasting package. MIT - [GitHub](https://github.com/ourownstory/neural_prophet) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 500 Β· πŸ“‹ 560 - 11% open Β· ⏱️ 13.09.2024): 
git clone https://github.com/ourownstory/neural_prophet
- [PyPi](https://pypi.org/project/neuralprophet) (πŸ“₯ 86K / month Β· πŸ“¦ 8 Β· ⏱️ 26.06.2024): 
pip install neuralprophet
greykite (πŸ₯‰22 Β· ⭐ 1.8K) - A flexible, intuitive and fast forecasting library. BSD-2 - [GitHub](https://github.com/linkedin/greykite) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 110 Β· πŸ“₯ 36 Β· πŸ“¦ 44 Β· πŸ“‹ 110 - 10% open Β· ⏱️ 20.02.2025): 
git clone https://github.com/linkedin/greykite
- [PyPi](https://pypi.org/project/greykite) (πŸ“₯ 6.6K / month Β· ⏱️ 20.02.2025): 
pip install greykite
TSFEL (πŸ₯‰21 Β· ⭐ 1K Β· πŸ’€) - An intuitive library to extract features from time series. BSD-3 - [GitHub](https://github.com/fraunhoferportugal/tsfel) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 140 Β· πŸ“¦ 210 Β· πŸ“‹ 82 - 12% open Β· ⏱️ 17.10.2024): 
git clone https://github.com/fraunhoferportugal/tsfel
- [PyPi](https://pypi.org/project/tsfel) (πŸ“₯ 6.9K / month Β· πŸ“¦ 7 Β· ⏱️ 12.09.2024): 
pip install tsfel
pydlm (πŸ₯‰21 Β· ⭐ 480 Β· πŸ’€) - A python library for Bayesian time series modeling. BSD-3 - [GitHub](https://github.com/wwrechard/pydlm) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 98 Β· πŸ“¦ 41 Β· πŸ“‹ 51 - 70% open Β· ⏱️ 07.09.2024): 
git clone https://github.com/wwrechard/pydlm
- [PyPi](https://pypi.org/project/pydlm) (πŸ“₯ 180K / month Β· πŸ“¦ 2 Β· ⏱️ 13.08.2024): 
pip install pydlm
tsflex (πŸ₯‰20 Β· ⭐ 420 Β· πŸ’€) - Flexible time series feature extraction & processing. MIT - [GitHub](https://github.com/predict-idlab/tsflex) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 26 Β· πŸ“¦ 22 Β· πŸ“‹ 56 - 58% open Β· ⏱️ 06.09.2024): 
git clone https://github.com/predict-idlab/tsflex
- [PyPi](https://pypi.org/project/tsflex) (πŸ“₯ 2.1K / month Β· πŸ“¦ 2 Β· ⏱️ 06.09.2024): 
pip install tsflex
- [Conda](https://anaconda.org/conda-forge/tsflex) (πŸ“₯ 33K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge tsflex
Auto TS (πŸ₯‰18 Β· ⭐ 760 Β· πŸ’€) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 - [GitHub](https://github.com/AutoViML/Auto_TS) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 120 Β· πŸ“‹ 90 - 2% open Β· ⏱️ 05.05.2024): 
git clone https://github.com/AutoViML/Auto_TS
- [PyPi](https://pypi.org/project/auto-ts) (πŸ“₯ 1.8K / month Β· ⏱️ 05.05.2024): 
pip install auto-ts
Show 9 hidden projects... - PyFlux (πŸ₯‰25 Β· ⭐ 2.1K Β· πŸ’€) - Open source time series library for Python. BSD-3 - ADTK (πŸ₯‰24 Β· ⭐ 1.2K Β· πŸ’€) - A Python toolkit for rule-based/unsupervised anomaly detection in.. MPL-2.0 - luminol (πŸ₯‰21 Β· ⭐ 1.2K Β· πŸ’€) - Anomaly Detection and Correlation library. Apache-2 - seglearn (πŸ₯‰21 Β· ⭐ 580 Β· πŸ’€) - Python module for machine learning time series:. BSD-3 - tick (πŸ₯‰20 Β· ⭐ 510 Β· πŸ’€) - Module for statistical learning, with a particular emphasis on time-.. BSD-3 - matrixprofile-ts (πŸ₯‰19 Β· ⭐ 740 Β· πŸ’€) - A Python library for detecting patterns and anomalies.. Apache-2 - tsaug (πŸ₯‰14 Β· ⭐ 350 Β· πŸ’€) - A Python package for time series augmentation. Apache-2 - atspy (πŸ₯‰13 Β· ⭐ 520 Β· πŸ’€) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT - tslumen (πŸ₯‰8 Β· ⭐ 69 Β· πŸ’€) - A library for Time Series EDA (exploratory data analysis). Apache-2


Medical Data

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Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic data, and other medical imaging formats.

Nilearn (πŸ₯‡38 Β· ⭐ 1.3K) - Machine learning for NeuroImaging in Python. BSD-3 - [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 610 Β· πŸ“₯ 300 Β· πŸ“¦ 4.3K Β· πŸ“‹ 2.4K - 12% open Β· ⏱️ 27.05.2025): 
git clone https://github.com/nilearn/nilearn
- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 310K / month Β· πŸ“¦ 310 Β· ⏱️ 23.12.2024): 
pip install nilearn
- [Conda](https://anaconda.org/conda-forge/nilearn) (πŸ“₯ 340K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge nilearn
MNE (πŸ₯‡37 Β· ⭐ 3K Β· πŸ“‰) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in.. BSD-3 - [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 390 Β· πŸ”€ 1.3K Β· πŸ“‹ 5K - 11% open Β· ⏱️ 27.05.2025): 
git clone https://github.com/mne-tools/mne-python
- [PyPi](https://pypi.org/project/mne) (πŸ“₯ 170K / month Β· πŸ“¦ 420 Β· ⏱️ 18.12.2024): 
pip install mne
- [Conda](https://anaconda.org/conda-forge/mne) (πŸ“₯ 530K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge mne
MONAI (πŸ₯ˆ36 Β· ⭐ 6.4K) - AI Toolkit for Healthcare Imaging. Apache-2 - [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 1.2K Β· πŸ“¦ 4.3K Β· πŸ“‹ 3.3K - 13% open Β· ⏱️ 27.05.2025): 
git clone https://github.com/Project-MONAI/MONAI
- [PyPi](https://pypi.org/project/monai) (πŸ“₯ 340K / month Β· πŸ“¦ 140 Β· ⏱️ 10.12.2024): 
pip install monai
- [Conda](https://anaconda.org/conda-forge/monai) (πŸ“₯ 50K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge monai
NIPYPE (πŸ₯ˆ35 Β· ⭐ 780) - Workflows and interfaces for neuroimaging packages. Apache-2 - [GitHub](https://github.com/nipy/nipype) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 530 Β· πŸ“¦ 7K Β· πŸ“‹ 1.4K - 30% open Β· ⏱️ 28.04.2025): 
git clone https://github.com/nipy/nipype
- [PyPi](https://pypi.org/project/nipype) (πŸ“₯ 340K / month Β· πŸ“¦ 150 Β· ⏱️ 19.03.2025): 
pip install nipype
- [Conda](https://anaconda.org/conda-forge/nipype) (πŸ“₯ 800K Β· ⏱️ 05.05.2025): 
conda install -c conda-forge nipype
NiBabel (πŸ₯ˆ34 Β· ⭐ 700) - Python package to access a cacophony of neuro-imaging file formats. MIT - [GitHub](https://github.com/nipy/nibabel) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 260 Β· πŸ“¦ 29K Β· πŸ“‹ 550 - 23% open Β· ⏱️ 20.05.2025): 
git clone https://github.com/nipy/nibabel
- [PyPi](https://pypi.org/project/nibabel) (πŸ“₯ 940K / month Β· πŸ“¦ 1.2K Β· ⏱️ 23.10.2024): 
pip install nibabel
- [Conda](https://anaconda.org/conda-forge/nibabel) (πŸ“₯ 910K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge nibabel
Lifelines (πŸ₯ˆ33 Β· ⭐ 2.4K Β· πŸ’€) - Survival analysis in Python. MIT - [GitHub](https://github.com/CamDavidsonPilon/lifelines) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 560 Β· πŸ“¦ 4K Β· πŸ“‹ 980 - 27% open Β· ⏱️ 29.10.2024): 
git clone https://github.com/CamDavidsonPilon/lifelines
- [PyPi](https://pypi.org/project/lifelines) (πŸ“₯ 2.1M / month Β· πŸ“¦ 160 Β· ⏱️ 29.10.2024): 
pip install lifelines
- [Conda](https://anaconda.org/conda-forge/lifelines) (πŸ“₯ 430K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge lifelines
Hail (πŸ₯ˆ33 Β· ⭐ 1K) - Cloud-native genomic dataframes and batch computing. MIT - [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 97 Β· πŸ”€ 250 Β· πŸ“¦ 170 Β· πŸ“‹ 2.5K - 10% open Β· ⏱️ 28.05.2025): 
git clone https://github.com/hail-is/hail
- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 18K / month Β· πŸ“¦ 42 Β· ⏱️ 07.03.2025): 
pip install hail
DeepVariant (πŸ₯‰28 Β· ⭐ 3.4K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3 - [GitHub](https://github.com/google/deepvariant) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 740 Β· πŸ“₯ 4.8K Β· πŸ“¦ 4 Β· πŸ“‹ 910 - 0% open Β· ⏱️ 16.05.2025): 
git clone https://github.com/google/deepvariant
- [Conda](https://anaconda.org/bioconda/deepvariant) (πŸ“₯ 76K Β· ⏱️ 24.05.2025): 
conda install -c bioconda deepvariant
Brainiak (πŸ₯‰18 Β· ⭐ 350) - Brain Imaging Analysis Kit. Apache-2 - [GitHub](https://github.com/brainiak/brainiak) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 140 Β· πŸ“‹ 230 - 38% open Β· ⏱️ 06.01.2025): 
git clone https://github.com/brainiak/brainiak
- [PyPi](https://pypi.org/project/brainiak) (πŸ“₯ 870 / month Β· ⏱️ 07.01.2025): 
pip install brainiak
- [Docker Hub](https://hub.docker.com/r/brainiak/brainiak) (πŸ“₯ 1.9K Β· ⭐ 1 Β· ⏱️ 07.01.2025): 
docker pull brainiak/brainiak
Show 10 hidden projects... - DIPY (πŸ₯ˆ32 Β· ⭐ 760) - DIPY is the paragon 3D/4D+ medical imaging library in Python... ❗Unlicensed - NiftyNet (πŸ₯‰24 Β· ⭐ 1.4K Β· πŸ’€) - [unmaintained] An open-source convolutional neural.. Apache-2 - NIPY (πŸ₯‰24 Β· ⭐ 390) - Neuroimaging in Python FMRI analysis package. ❗Unlicensed - MedPy (πŸ₯‰23 Β· ⭐ 600 Β· πŸ’€) - Medical image processing in Python. ❗️GPL-3.0 - DLTK (πŸ₯‰20 Β· ⭐ 1.4K Β· πŸ’€) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 - Glow (πŸ₯‰20 Β· ⭐ 280) - An open-source toolkit for large-scale genomic analysis. Apache-2 - MedicalTorch (πŸ₯‰15 Β· ⭐ 870 Β· πŸ’€) - A medical imaging framework for Pytorch. Apache-2 - Medical Detection Toolkit (πŸ₯‰14 Β· ⭐ 1.3K Β· πŸ’€) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2 - DeepNeuro (πŸ₯‰14 Β· ⭐ 130 Β· πŸ’€) - A deep learning python package for neuroimaging data. Made by:. MIT - MedicalNet (πŸ₯‰12 Β· ⭐ 2K Β· πŸ’€) - Many studies have shown that the performance on deep learning is.. MIT


Tabular Data

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Libraries for processing tabular and structured data.

skrub (πŸ₯‡29 Β· ⭐ 1.4K) - Machine learning with dataframes. BSD-3 - [GitHub](https://github.com/skrub-data/skrub) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 120 Β· πŸ“¦ 89 Β· πŸ“‹ 450 - 19% open Β· ⏱️ 28.05.2025): 
git clone https://github.com/skrub-data/skrub
- [PyPi](https://pypi.org/project/skrub) (πŸ“₯ 13K / month Β· πŸ“¦ 10 Β· ⏱️ 03.04.2025): 
pip install skrub
pytorch_tabular (πŸ₯ˆ24 Β· ⭐ 1.5K) - A standard framework for modelling Deep Learning Models.. MIT - [GitHub](https://github.com/manujosephv/pytorch_tabular) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 150 Β· πŸ“₯ 54 Β· πŸ“‹ 170 - 7% open Β· ⏱️ 19.04.2025): 
git clone https://github.com/manujosephv/pytorch_tabular
- [PyPi](https://pypi.org/project/pytorch_tabular) (πŸ“₯ 19K / month Β· πŸ“¦ 9 Β· ⏱️ 28.11.2024): 
pip install pytorch_tabular
miceforest (πŸ₯ˆ24 Β· ⭐ 380 Β· πŸ’€) - Multiple Imputation with LightGBM in Python. MIT - [GitHub](https://github.com/AnotherSamWilson/miceforest) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 30 Β· πŸ“¦ 240 Β· πŸ“‹ 90 - 11% open Β· ⏱️ 02.08.2024): 
git clone https://github.com/AnotherSamWilson/miceforest
- [PyPi](https://pypi.org/project/miceforest) (πŸ“₯ 69K / month Β· πŸ“¦ 9 Β· ⏱️ 02.08.2024): 
pip install miceforest
- [Conda](https://anaconda.org/conda-forge/miceforest) (πŸ“₯ 19K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge miceforest
upgini (πŸ₯‰21 Β· ⭐ 330) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3 - [GitHub](https://github.com/upgini/upgini) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 25 Β· πŸ“¦ 9 Β· ⏱️ 29.05.2025): 
git clone https://github.com/upgini/upgini
- [PyPi](https://pypi.org/project/upgini) (πŸ“₯ 7.5K / month Β· ⏱️ 29.05.2025): 
pip install upgini
Show 2 hidden projects... - carefree-learn (πŸ₯‰17 Β· ⭐ 410 Β· πŸ’€) - Deep Learning PyTorch. MIT - deltapy (πŸ₯‰12 Β· ⭐ 550 Β· πŸ’€) - DeltaPy - Tabular Data Augmentation (by @firmai). MIT


Optical Character Recognition

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Libraries for optical character recognition (OCR) and text extraction from images or videos.

PaddleOCR (πŸ₯‡42 Β· ⭐ 50K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 8.2K Β· πŸ“₯ 2M Β· πŸ“¦ 5.8K Β· πŸ“‹ 9.6K - 1% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/PaddlePaddle/PaddleOCR
- [PyPi](https://pypi.org/project/paddleocr) (πŸ“₯ 350K / month Β· πŸ“¦ 150 Β· ⏱️ 20.05.2025): 
pip install paddleocr
OCRmyPDF (πŸ₯‡37 Β· ⭐ 29K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 - [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 2K Β· πŸ“₯ 12K Β· πŸ“¦ 1.3K Β· πŸ“‹ 1.3K - 10% open Β· ⏱️ 27.05.2025): 
git clone https://github.com/ocrmypdf/OCRmyPDF
- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 230K / month Β· πŸ“¦ 48 Β· ⏱️ 27.05.2025): 
pip install ocrmypdf
- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (πŸ“₯ 100K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge ocrmypdf
EasyOCR (πŸ₯ˆ34 Β· ⭐ 27K Β· πŸ’€) - Ready-to-use OCR with 80+ supported languages and all popular.. Apache-2 - [GitHub](https://github.com/JaidedAI/EasyOCR) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 3.3K Β· πŸ“₯ 22M Β· πŸ“¦ 16K Β· πŸ“‹ 1.1K - 43% open Β· ⏱️ 24.09.2024): 
git clone https://github.com/JaidedAI/EasyOCR
- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 940K / month Β· πŸ“¦ 250 Β· ⏱️ 24.09.2024): 
pip install easyocr
Tesseract (πŸ₯ˆ31 Β· ⭐ 6.1K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2 - [GitHub](https://github.com/madmaze/pytesseract) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 720 Β· πŸ“‹ 370 - 3% open Β· ⏱️ 17.02.2025): 
git clone https://github.com/madmaze/pytesseract
- [PyPi](https://pypi.org/project/pytesseract) (πŸ“₯ 3.2M / month Β· πŸ“¦ 970 Β· ⏱️ 16.08.2024): 
pip install pytesseract
- [Conda](https://anaconda.org/conda-forge/pytesseract) (πŸ“₯ 660K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pytesseract
tesserocr (πŸ₯ˆ30 Β· ⭐ 2.1K) - A Python wrapper for the tesseract-ocr API. MIT - [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 260 Β· πŸ“₯ 970 Β· πŸ“¦ 1.3K Β· πŸ“‹ 280 - 17% open Β· ⏱️ 08.05.2025): 
git clone https://github.com/sirfz/tesserocr
- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 130K / month Β· πŸ“¦ 43 Β· ⏱️ 12.02.2025): 
pip install tesserocr
- [Conda](https://anaconda.org/conda-forge/tesserocr) (πŸ“₯ 260K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge tesserocr
MMOCR (πŸ₯‰27 Β· ⭐ 4.5K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2 - [GitHub](https://github.com/open-mmlab/mmocr) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 760 Β· πŸ“¦ 230 Β· πŸ“‹ 930 - 20% open Β· ⏱️ 27.11.2024): 
git clone https://github.com/open-mmlab/mmocr
- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 4K / month Β· πŸ“¦ 4 Β· ⏱️ 05.05.2022): 
pip install mmocr
Show 6 hidden projects... - keras-ocr (πŸ₯‰26 Β· ⭐ 1.4K Β· πŸ’€) - A packaged and flexible version of the CRAFT text detector.. MIT - calamari (πŸ₯‰22 Β· ⭐ 1.1K) - Line based ATR Engine based on OCRopy. ❗️GPL-3.0 - pdftabextract (πŸ₯‰21 Β· ⭐ 2.2K Β· πŸ’€) - A set of tools for extracting tables from PDF files.. Apache-2 - doc2text (πŸ₯‰20 Β· ⭐ 1.3K Β· πŸ’€) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python.. MIT - attention-ocr (πŸ₯‰20 Β· ⭐ 1.1K Β· πŸ’€) - A Tensorflow model for text recognition (CNN + seq2seq.. MIT - Mozart (πŸ₯‰10 Β· ⭐ 660 Β· πŸ’€) - An optical music recognition (OMR) system. Converts sheet.. Apache-2


Data Containers & Structures

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General-purpose data containers & structures as well as utilities & extensions for pandas.

πŸ”— best-of-python - Data Containers ( ⭐ 4K) - Collection of data-container, dataframe, and pandas-..


Data Loading & Extraction

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Libraries for loading, collecting, and extracting data from a variety of data sources and formats.

πŸ”— best-of-python - Data Extraction ( ⭐ 4K) - Collection of data-loading and -extraction libraries.


Web Scraping & Crawling

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Libraries for web scraping, crawling, downloading, and mining as well as libraries.

πŸ”— best-of-web-python - Web Scraping ( ⭐ 2.5K Β· πŸ’€) - Collection of web-scraping and crawling libraries.


Data Pipelines & Streaming

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Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks.

πŸ”— best-of-python - Data Pipelines ( ⭐ 4K) - Libraries for data batch- and stream-processing,..

Show 1 hidden projects... - pyclugen (πŸ₯‡10 Β· ⭐ 8 Β· πŸ’€) - Multidimensional cluster generation in Python. MIT


Distributed Machine Learning

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Libraries that provide capabilities to distribute and parallelize machine learning tasks across large-scale compute infrastructure.

Ray (πŸ₯‡47 Β· ⭐ 37K) - Ray is an AI compute engine. Ray consists of a core distributed runtime.. Apache-2 - [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 6.3K Β· πŸ“₯ 260 Β· πŸ“¦ 25K Β· πŸ“‹ 21K - 20% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/ray-project/ray
- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 13M / month Β· πŸ“¦ 960 Β· ⏱️ 07.05.2025): 
pip install ray
- [Conda](https://anaconda.org/conda-forge/ray-tune) (πŸ“₯ 780K Β· ⏱️ 12.05.2025): 
conda install -c conda-forge ray-tune
dask (πŸ₯‡45 Β· ⭐ 13K) - Parallel computing with task scheduling. BSD-3 - [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 620 Β· πŸ”€ 1.8K Β· πŸ“¦ 75K Β· πŸ“‹ 5.6K - 20% open Β· ⏱️ 20.05.2025): 
git clone https://github.com/dask/dask
- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 12M / month Β· πŸ“¦ 2.9K Β· ⏱️ 20.05.2025): 
pip install dask
- [Conda](https://anaconda.org/conda-forge/dask) (πŸ“₯ 13M Β· ⏱️ 20.05.2025): 
conda install -c conda-forge dask
DeepSpeed (πŸ₯‡41 Β· ⭐ 39K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2 - [GitHub](https://github.com/deepspeedai/DeepSpeed) (πŸ‘¨β€πŸ’» 380 Β· πŸ”€ 4.4K Β· πŸ“¦ 14K Β· πŸ“‹ 3.1K - 34% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/microsoft/DeepSpeed
- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 800K / month Β· πŸ“¦ 280 Β· ⏱️ 22.05.2025): 
pip install deepspeed
- [Docker Hub](https://hub.docker.com/r/deepspeed/deepspeed) (πŸ“₯ 22K Β· ⭐ 4 Β· ⏱️ 02.09.2022): 
docker pull deepspeed/deepspeed
dask.distributed (πŸ₯‡39 Β· ⭐ 1.6K) - A distributed task scheduler for Dask. BSD-3 - [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 730 Β· πŸ“¦ 41K Β· πŸ“‹ 4K - 38% open Β· ⏱️ 20.05.2025): 
git clone https://github.com/dask/distributed
- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 3.9M / month Β· πŸ“¦ 970 Β· ⏱️ 20.05.2025): 
pip install distributed
- [Conda](https://anaconda.org/conda-forge/distributed) (πŸ“₯ 18M Β· ⏱️ 20.05.2025): 
conda install -c conda-forge distributed
horovod (πŸ₯ˆ36 Β· ⭐ 14K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2 - [GitHub](https://github.com/horovod/horovod) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.3K Β· πŸ“¦ 1.4K Β· πŸ“‹ 2.3K - 17% open Β· ⏱️ 01.02.2025): 
git clone https://github.com/horovod/horovod
- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 100K / month Β· πŸ“¦ 34 Β· ⏱️ 12.06.2023): 
pip install horovod
metrics (πŸ₯ˆ36 Β· ⭐ 2.3K) - Machine learning metrics for distributed, scalable PyTorch.. Apache-2 - [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 430 Β· πŸ“₯ 6.6K Β· πŸ“¦ 43K Β· πŸ“‹ 960 - 7% open Β· ⏱️ 27.05.2025): 
git clone https://github.com/Lightning-AI/metrics
- [PyPi](https://pypi.org/project/metrics) (πŸ“₯ 4.8K / month Β· πŸ“¦ 4 Β· ⏱️ 26.02.2025): 
pip install metrics
- [Conda](https://anaconda.org/conda-forge/torchmetrics) (πŸ“₯ 2M Β· ⏱️ 29.05.2025): 
conda install -c conda-forge torchmetrics
H2O-3 (πŸ₯ˆ34 Β· ⭐ 7.2K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2 - [GitHub](https://github.com/h2oai/h2o-3) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 2K Β· πŸ“¦ 98 Β· πŸ“‹ 9.6K - 30% open Β· ⏱️ 08.05.2025): 
git clone https://github.com/h2oai/h2o-3
- [PyPi](https://pypi.org/project/h2o) (πŸ“₯ 190K / month Β· πŸ“¦ 58 Β· ⏱️ 27.03.2025): 
pip install h2o
ColossalAI (πŸ₯ˆ32 Β· ⭐ 41K) - Making large AI models cheaper, faster and more accessible. Apache-2 - [GitHub](https://github.com/hpcaitech/ColossalAI) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 4.5K Β· πŸ“¦ 510 Β· πŸ“‹ 1.8K - 26% open Β· ⏱️ 28.05.2025): 
git clone https://github.com/hpcaitech/colossalai
BigDL (πŸ₯ˆ31 Β· ⭐ 7.9K) - Accelerate local LLM inference and finetuning (LLaMA, Mistral,.. Apache-2 - [GitHub](https://github.com/intel/ipex-llm) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.4K Β· πŸ“₯ 690 Β· πŸ“‹ 2.9K - 39% open Β· ⏱️ 26.05.2025): 
git clone https://github.com/intel-analytics/BigDL
- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 7.2K / month Β· πŸ“¦ 2 Β· ⏱️ 24.03.2024): 
pip install bigdl
- [Maven](https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4) (πŸ“¦ 5 Β· ⏱️ 20.04.2021): 
<dependency>
    <groupId>com.intel.analytics.bigdl</groupId>
    <artifactId>bigdl-SPARK_2.4</artifactId>
    <version>[VERSION]</version>
</dependency>
FairScale (πŸ₯ˆ31 Β· ⭐ 3.3K) - PyTorch extensions for high performance and large scale training. BSD-3 - [GitHub](https://github.com/facebookresearch/fairscale) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 280 Β· πŸ“¦ 8.5K Β· πŸ“‹ 390 - 26% open Β· ⏱️ 26.04.2025): 
git clone https://github.com/facebookresearch/fairscale
- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 530K / month Β· πŸ“¦ 150 Β· ⏱️ 11.12.2022): 
pip install fairscale
- [Conda](https://anaconda.org/conda-forge/fairscale) (πŸ“₯ 460K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge fairscale
Submit it (πŸ₯ˆ31 Β· ⭐ 1.4K) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT - [GitHub](https://github.com/facebookincubator/submitit) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 140 Β· πŸ“¦ 4.5K Β· πŸ“‹ 130 - 39% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/facebookincubator/submitit
- [PyPi](https://pypi.org/project/submitit) (πŸ“₯ 580K / month Β· πŸ“¦ 74 Β· ⏱️ 21.05.2025): 
pip install submitit
- [Conda](https://anaconda.org/conda-forge/submitit) (πŸ“₯ 58K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge submitit
mpi4py (πŸ₯ˆ31 Β· ⭐ 850) - Python bindings for MPI. BSD-3 - [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 120 Β· πŸ“₯ 34K Β· πŸ“‹ 210 - 2% open Β· ⏱️ 10.05.2025): 
git clone https://github.com/mpi4py/mpi4py
- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 500K / month Β· πŸ“¦ 830 Β· ⏱️ 13.02.2025): 
pip install mpi4py
- [Conda](https://anaconda.org/conda-forge/mpi4py) (πŸ“₯ 3.9M Β· ⏱️ 09.05.2025): 
conda install -c conda-forge mpi4py
SynapseML (πŸ₯ˆ30 Β· ⭐ 5.1K) - Simple and Distributed Machine Learning. MIT - [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 840 Β· πŸ“‹ 800 - 49% open Β· ⏱️ 28.05.2025): 
git clone https://github.com/microsoft/SynapseML
- [PyPi](https://pypi.org/project/synapseml) (πŸ“₯ 920K / month Β· πŸ“¦ 7 Β· ⏱️ 17.04.2025): 
pip install synapseml
dask-ml (πŸ₯ˆ29 Β· ⭐ 940) - Scalable Machine Learning with Dask. BSD-3 - [GitHub](https://github.com/dask/dask-ml) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 260 Β· πŸ“¦ 1.3K Β· πŸ“‹ 550 - 51% open Β· ⏱️ 10.05.2025): 
git clone https://github.com/dask/dask-ml
- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 110K / month Β· πŸ“¦ 100 Β· ⏱️ 08.02.2025): 
pip install dask-ml
- [Conda](https://anaconda.org/conda-forge/dask-ml) (πŸ“₯ 990K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge dask-ml
Hivemind (πŸ₯‰27 Β· ⭐ 2.2K) - Decentralized deep learning in PyTorch. Built to train models on.. MIT - [GitHub](https://github.com/learning-at-home/hivemind) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 180 Β· πŸ“¦ 130 Β· πŸ“‹ 190 - 43% open Β· ⏱️ 06.05.2025): 
git clone https://github.com/learning-at-home/hivemind
- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 5.9K / month Β· πŸ“¦ 12 Β· ⏱️ 20.04.2025): 
pip install hivemind
Apache Singa (πŸ₯‰25 Β· ⭐ 3.4K) - a distributed deep learning platform. Apache-2 - [GitHub](https://github.com/apache/singa) (πŸ‘¨β€πŸ’» 97 Β· πŸ”€ 1.3K Β· πŸ“¦ 6 Β· πŸ“‹ 140 - 35% open Β· ⏱️ 26.03.2025): 
git clone https://github.com/apache/singa
- [Conda](https://anaconda.org/nusdbsystem/singa) (πŸ“₯ 1K Β· ⏱️ 25.03.2025): 
conda install -c nusdbsystem singa
- [Docker Hub](https://hub.docker.com/r/apache/singa) (πŸ“₯ 9.1K Β· ⭐ 4 Β· ⏱️ 31.05.2022): 
docker pull apache/singa
MMLSpark (πŸ₯‰23 Β· ⭐ 5.1K) - Simple and Distributed Machine Learning. MIT - [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 840 Β· πŸ“‹ 800 - 49% open Β· ⏱️ 28.05.2025): 
git clone https://github.com/microsoft/SynapseML
- [PyPi](https://pypi.org/project/mmlspark) (⏱️ 18.03.2020): 
pip install mmlspark
analytics-zoo (πŸ₯‰22 Β· ⭐ 2.6K) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2 - [GitHub](https://github.com/intel/analytics-zoo) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 730 Β· πŸ“‹ 1.3K - 32% open Β· ⏱️ 09.01.2025): 
git clone https://github.com/intel-analytics/analytics-zoo
- [PyPi](https://pypi.org/project/analytics-zoo) (πŸ“₯ 1.7K / month Β· πŸ“¦ 1 Β· ⏱️ 22.08.2022): 
pip install analytics-zoo
Show 18 hidden projects... - DEAP (πŸ₯ˆ34 Β· ⭐ 6.1K) - Distributed Evolutionary Algorithms in Python. ❗️LGPL-3.0 - ipyparallel (πŸ₯ˆ29 Β· ⭐ 2.6K) - IPython Parallel: Interactive Parallel Computing in.. ❗Unlicensed - petastorm (πŸ₯‰28 Β· ⭐ 1.8K Β· πŸ’€) - Petastorm library enables single machine or distributed.. Apache-2 - TensorFlowOnSpark (πŸ₯‰27 Β· ⭐ 3.9K Β· πŸ’€) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2 - Elephas (πŸ₯‰25 Β· ⭐ 1.6K Β· πŸ’€) - Distributed Deep learning with Keras & Spark. MIT keras - Mesh (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2 - BytePS (πŸ₯‰21 Β· ⭐ 3.7K Β· πŸ’€) - A high performance and generic framework for distributed DNN.. Apache-2 - sk-dist (πŸ₯‰21 Β· ⭐ 280 Β· πŸ’€) - Distributed scikit-learn meta-estimators in PySpark. Apache-2 - somoclu (πŸ₯‰21 Β· ⭐ 270 Β· πŸ’€) - Massively parallel self-organizing maps: accelerate training on.. MIT - mesh-transformer-jax (πŸ₯‰18 Β· ⭐ 6.3K Β· πŸ’€) - Model parallel transformers in JAX and Haiku. Apache-2 - launchpad (πŸ₯‰18 Β· ⭐ 320 Β· πŸ’€) - Launchpad is a library that simplifies writing.. Apache-2 - Fiber (πŸ₯‰17 Β· ⭐ 1K Β· πŸ’€) - Distributed Computing for AI Made Simple. Apache-2 - parallelformers (πŸ₯‰17 Β· ⭐ 790 Β· πŸ’€) - Parallelformers: An Efficient Model Parallelization.. Apache-2 - bluefog (πŸ₯‰17 Β· ⭐ 290 Β· πŸ’€) - Distributed and decentralized training framework for PyTorch.. Apache-2 - TensorFrames (πŸ₯‰15 Β· ⭐ 720 Β· πŸ’€) - Tensorflow wrapper for DataFrames on Apache Spark. Apache-2 - LazyCluster (πŸ₯‰14 Β· ⭐ 49 Β· πŸ’€) - Distributed machine learning made simple. Apache-2 - autodist (πŸ₯‰12 Β· ⭐ 130 Β· πŸ’€) - Simple Distributed Deep Learning on TensorFlow. Apache-2 - moolib (πŸ₯‰11 Β· ⭐ 370 Β· πŸ’€) - A library for distributed ML training with PyTorch. MIT


Hyperparameter Optimization & AutoML

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Libraries for hyperparameter optimization, automl and neural architecture search.

Optuna (πŸ₯‡43 Β· ⭐ 12K) - A hyperparameter optimization framework. MIT - [GitHub](https://github.com/optuna/optuna) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 1.1K Β· πŸ“¦ 28K Β· πŸ“‹ 1.7K - 3% open Β· ⏱️ 26.05.2025): 
git clone https://github.com/optuna/optuna
- [PyPi](https://pypi.org/project/optuna) (πŸ“₯ 4.4M / month Β· πŸ“¦ 1.2K Β· ⏱️ 14.04.2025): 
pip install optuna
- [Conda](https://anaconda.org/conda-forge/optuna) (πŸ“₯ 2.8M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge optuna
AutoGluon (πŸ₯‡36 Β· ⭐ 8.9K) - Fast and Accurate ML in 3 Lines of Code. Apache-2 - [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1K Β· πŸ“¦ 1.1K Β· πŸ“‹ 1.7K - 24% open Β· ⏱️ 27.05.2025): 
git clone https://github.com/autogluon/autogluon
- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 140K / month Β· πŸ“¦ 32 Β· ⏱️ 29.05.2025): 
pip install autogluon
- [Conda](https://anaconda.org/conda-forge/autogluon) (πŸ“₯ 36K Β· ⏱️ 03.05.2025): 
conda install -c conda-forge autogluon
- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (πŸ“₯ 16K Β· ⭐ 19 Β· ⏱️ 07.03.2024): 
docker pull autogluon/autogluon
Ax (πŸ₯‡36 Β· ⭐ 2.5K) - Adaptive Experimentation Platform. MIT - [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 320 Β· πŸ“¦ 980 Β· πŸ“‹ 900 - 12% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/facebook/Ax
- [PyPi](https://pypi.org/project/ax-platform) (πŸ“₯ 250K / month Β· πŸ“¦ 63 Β· ⏱️ 08.05.2025): 
pip install ax-platform
- [Conda](https://anaconda.org/conda-forge/ax-platform) (πŸ“₯ 40K Β· ⏱️ 09.05.2025): 
conda install -c conda-forge ax-platform
Bayesian Optimization (πŸ₯‡35 Β· ⭐ 8.3K) - A Python implementation of global optimization with.. MIT - [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 1.6K Β· πŸ“₯ 180 Β· πŸ“¦ 3.8K Β· πŸ“‹ 380 - 2% open Β· ⏱️ 19.05.2025): 
git clone https://github.com/fmfn/BayesianOptimization
- [PyPi](https://pypi.org/project/bayesian-optimization) (πŸ“₯ 320K / month Β· πŸ“¦ 170 Β· ⏱️ 12.05.2025): 
pip install bayesian-optimization
Hyperopt (πŸ₯‡34 Β· ⭐ 7.4K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3 - [GitHub](https://github.com/hyperopt/hyperopt) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.1K Β· πŸ“¦ 22K Β· πŸ“‹ 760 - 18% open Β· ⏱️ 27.12.2024): 
git clone https://github.com/hyperopt/hyperopt
- [PyPi](https://pypi.org/project/hyperopt) (πŸ“₯ 2.6M / month Β· πŸ“¦ 450 Β· ⏱️ 17.11.2021): 
pip install hyperopt
- [Conda](https://anaconda.org/conda-forge/hyperopt) (πŸ“₯ 830K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge hyperopt
BoTorch (πŸ₯‡34 Β· ⭐ 3.3K) - Bayesian optimization in PyTorch. MIT - [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 420 Β· πŸ“¦ 1.5K Β· πŸ“‹ 590 - 13% open Β· ⏱️ 28.05.2025): 
git clone https://github.com/pytorch/botorch
- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 330K / month Β· πŸ“¦ 110 Β· ⏱️ 06.05.2025): 
pip install botorch
- [Conda](https://anaconda.org/conda-forge/botorch) (πŸ“₯ 160K Β· ⏱️ 07.05.2025): 
conda install -c conda-forge botorch
nevergrad (πŸ₯ˆ33 Β· ⭐ 4.1K) - A Python toolbox for performing gradient-free optimization. MIT - [GitHub](https://github.com/facebookresearch/nevergrad) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 360 Β· πŸ“¦ 910 Β· πŸ“‹ 310 - 40% open Β· ⏱️ 23.04.2025): 
git clone https://github.com/facebookresearch/nevergrad
- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 160K / month Β· πŸ“¦ 72 Β· ⏱️ 23.04.2025): 
pip install nevergrad
- [Conda](https://anaconda.org/conda-forge/nevergrad) (πŸ“₯ 62K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge nevergrad
AutoKeras (πŸ₯ˆ32 Β· ⭐ 9.2K) - AutoML library for deep learning. Apache-2 - [GitHub](https://github.com/keras-team/autokeras) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.4K Β· πŸ“₯ 20K Β· πŸ“¦ 860 Β· πŸ“‹ 910 - 16% open Β· ⏱️ 16.12.2024): 
git clone https://github.com/keras-team/autokeras
- [PyPi](https://pypi.org/project/autokeras) (πŸ“₯ 18K / month Β· πŸ“¦ 13 Β· ⏱️ 20.03.2024): 
pip install autokeras
featuretools (πŸ₯ˆ32 Β· ⭐ 7.4K) - An open source python library for automated feature engineering. BSD-3 - [GitHub](https://github.com/alteryx/featuretools) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 880 Β· πŸ“¦ 2.1K Β· πŸ“‹ 1K - 15% open Β· ⏱️ 13.11.2024): 
git clone https://github.com/alteryx/featuretools
- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 77K / month Β· πŸ“¦ 74 Β· ⏱️ 14.05.2024): 
pip install featuretools
- [Conda](https://anaconda.org/conda-forge/featuretools) (πŸ“₯ 250K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge featuretools
Keras Tuner (πŸ₯ˆ32 Β· ⭐ 2.9K Β· πŸ’€) - A Hyperparameter Tuning Library for Keras. Apache-2 - [GitHub](https://github.com/keras-team/keras-tuner) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 400 Β· πŸ“¦ 6K Β· πŸ“‹ 500 - 44% open Β· ⏱️ 24.06.2024): 
git clone https://github.com/keras-team/keras-tuner
- [PyPi](https://pypi.org/project/keras-tuner) (πŸ“₯ 1.6M / month Β· πŸ“¦ 120 Β· ⏱️ 04.03.2024): 
pip install keras-tuner
- [Conda](https://anaconda.org/conda-forge/keras-tuner) (πŸ“₯ 58K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge keras-tuner
lazypredict (πŸ₯ˆ29 Β· ⭐ 3.2K) - Lazy Predict help build a lot of basic models without much code.. MIT - [GitHub](https://github.com/shankarpandala/lazypredict) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 360 Β· πŸ“¦ 1.4K Β· πŸ“‹ 160 - 64% open Β· ⏱️ 18.05.2025): 
git clone https://github.com/shankarpandala/lazypredict
- [PyPi](https://pypi.org/project/lazypredict) (πŸ“₯ 22K / month Β· πŸ“¦ 8 Β· ⏱️ 05.04.2025): 
pip install lazypredict
- [Conda](https://anaconda.org/conda-forge/lazypredict) (πŸ“₯ 5K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge lazypredict
mljar-supervised (πŸ₯ˆ28 Β· ⭐ 3.2K) - Python package for AutoML on Tabular Data with Feature.. MIT - [GitHub](https://github.com/mljar/mljar-supervised) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 420 Β· πŸ“¦ 170 Β· πŸ“‹ 670 - 20% open Β· ⏱️ 14.04.2025): 
git clone https://github.com/mljar/mljar-supervised
- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 6.9K / month Β· πŸ“¦ 6 Β· ⏱️ 01.04.2025): 
pip install mljar-supervised
- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (πŸ“₯ 43K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge mljar-supervised
FEDOT (πŸ₯ˆ24 Β· ⭐ 670) - Automated modeling and machine learning framework FEDOT. BSD-3 - [GitHub](https://github.com/aimclub/FEDOT) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 88 Β· πŸ“¦ 63 Β· πŸ“‹ 570 - 11% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/nccr-itmo/FEDOT
- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 1.1K / month Β· πŸ“¦ 7 Β· ⏱️ 10.03.2025): 
pip install fedot
Hyperactive (πŸ₯ˆ24 Β· ⭐ 520) - An optimization and data collection toolbox for convenient and fast.. MIT - [GitHub](https://github.com/SimonBlanke/Hyperactive) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 49 Β· πŸ“₯ 310 Β· πŸ“¦ 38 Β· πŸ“‹ 85 - 22% open Β· ⏱️ 26.05.2025): 
git clone https://github.com/SimonBlanke/Hyperactive
- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 2.2K / month Β· πŸ“¦ 13 Β· ⏱️ 15.08.2024): 
pip install hyperactive
AlphaPy (πŸ₯‰21 Β· ⭐ 1.5K) - Python AutoML for Trading Systems and Sports Betting. Apache-2 - [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 250 Β· πŸ“¦ 10 Β· πŸ“‹ 44 - 34% open Β· ⏱️ 15.12.2024): 
git clone https://github.com/ScottfreeLLC/AlphaPy
- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 540 / month Β· ⏱️ 29.08.2020): 
pip install alphapy
featurewiz (πŸ₯‰21 Β· ⭐ 650) - Use advanced feature engineering strategies and select best.. Apache-2 - [GitHub](https://github.com/AutoViML/featurewiz) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 96 Β· πŸ“¦ 85 Β· πŸ“‹ 110 - 0% open Β· ⏱️ 19.02.2025): 
git clone https://github.com/AutoViML/featurewiz
- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 6.2K / month Β· πŸ“¦ 4 Β· ⏱️ 19.02.2025): 
pip install featurewiz
Auto ViML (πŸ₯‰21 Β· ⭐ 540) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2 - [GitHub](https://github.com/AutoViML/Auto_ViML) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 100 Β· πŸ“¦ 28 Β· ⏱️ 30.01.2025): 
git clone https://github.com/AutoViML/Auto_ViML
- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 2.3K / month Β· πŸ“¦ 3 Β· ⏱️ 30.01.2025): 
pip install autoviml
opytimizer (πŸ₯‰18 Β· ⭐ 620 Β· πŸ’€) - Opytimizer is a Python library consisting of meta-heuristic.. Apache-2 - [GitHub](https://github.com/gugarosa/opytimizer) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 42 Β· πŸ“¦ 21 Β· ⏱️ 18.08.2024): 
git clone https://github.com/gugarosa/opytimizer
- [PyPi](https://pypi.org/project/opytimizer) (πŸ“₯ 300 / month Β· ⏱️ 18.08.2024): 
pip install opytimizer
Show 34 hidden projects... - TPOT (πŸ₯ˆ33 Β· ⭐ 9.9K) - A Python Automated Machine Learning tool that optimizes machine.. ❗️LGPL-3.0 - scikit-optimize (πŸ₯ˆ33 Β· ⭐ 2.8K Β· πŸ’€) - Sequential model-based optimization with a.. BSD-3 - NNI (πŸ₯ˆ31 Β· ⭐ 14K Β· πŸ’€) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT - auto-sklearn (πŸ₯ˆ31 Β· ⭐ 7.8K Β· πŸ’€) - Automated Machine Learning with scikit-learn. BSD-3 - SMAC3 (πŸ₯ˆ28 Β· ⭐ 1.2K) - SMAC3: A Versatile Bayesian Optimization Package for.. ❗️BSD-1-Clause - Hyperas (πŸ₯ˆ27 Β· ⭐ 2.2K Β· πŸ’€) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT - GPyOpt (πŸ₯ˆ25 Β· ⭐ 940 Β· πŸ’€) - Gaussian Process Optimization using GPy. BSD-3 - Talos (πŸ₯ˆ24 Β· ⭐ 1.6K Β· πŸ’€) - Hyperparameter Experiments with TensorFlow and Keras. MIT - lightwood (πŸ₯ˆ24 Β· ⭐ 470) - Lightwood is Legos for Machine Learning. ❗️GPL-3.0 - AdaNet (πŸ₯‰23 Β· ⭐ 3.5K Β· πŸ’€) - Fast and flexible AutoML with learning guarantees. Apache-2 - auto_ml (πŸ₯‰23 Β· ⭐ 1.6K Β· πŸ’€) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT - HpBandSter (πŸ₯‰23 Β· ⭐ 620 Β· πŸ’€) - a distributed Hyperband implementation on Steroids. BSD-3 - Orion (πŸ₯‰22 Β· ⭐ 290 Β· πŸ’€) - Asynchronous Distributed Hyperparameter Optimization. BSD-3 - igel (πŸ₯‰21 Β· ⭐ 3.1K Β· πŸ’€) - a delightful machine learning tool that allows you to train, test, and.. MIT - MLBox (πŸ₯‰21 Β· ⭐ 1.5K Β· πŸ’€) - MLBox is a powerful Automated Machine Learning python library. ❗️BSD-1-Clause - Test Tube (πŸ₯‰21 Β· ⭐ 740 Β· πŸ’€) - Python library to easily log experiments and parallelize.. MIT - Neuraxle (πŸ₯‰21 Β· ⭐ 610 Β· πŸ’€) - The worlds cleanest AutoML library - Do hyperparameter tuning.. Apache-2 - sklearn-deap (πŸ₯‰20 Β· ⭐ 770 Β· πŸ’€) - Use evolutionary algorithms instead of gridsearch in.. MIT - optunity (πŸ₯‰20 Β· ⭐ 420 Β· πŸ’€) - optimization routines for hyperparameter tuning. BSD-3 - Dragonfly (πŸ₯‰19 Β· ⭐ 880 Β· πŸ’€) - An open source python library for scalable Bayesian optimisation. MIT - shap-hypetune (πŸ₯‰18 Β· ⭐ 580 Β· πŸ’€) - A python package for simultaneous Hyperparameters Tuning and.. MIT - Auto Tune Models (πŸ₯‰18 Β· ⭐ 530 Β· πŸ’€) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT - Sherpa (πŸ₯‰18 Β· ⭐ 340 Β· πŸ’€) - Hyperparameter optimization that enables researchers to.. ❗️GPL-3.0 - Advisor (πŸ₯‰17 Β· ⭐ 1.6K Β· πŸ’€) - Open-source implementation of Google Vizier for hyper parameters.. Apache-2 - Xcessiv (πŸ₯‰17 Β· ⭐ 1.3K Β· πŸ’€) - A web-based application for quick, scalable, and automated.. Apache-2 - automl-gs (πŸ₯‰16 Β· ⭐ 1.9K Β· πŸ’€) - Provide an input CSV and a target field to predict, generate a.. MIT - HyperparameterHunter (πŸ₯‰16 Β· ⭐ 710 Β· πŸ’€) - Easy hyperparameter optimization and automatic result.. MIT - Parfit (πŸ₯‰15 Β· ⭐ 200 Β· πŸ’€) - A package for parallelizing the fit and flexibly scoring of.. MIT - ENAS (πŸ₯‰13 Β· ⭐ 2.7K Β· πŸ’€) - PyTorch implementation of Efficient Neural Architecture Search via.. Apache-2 - Auptimizer (πŸ₯‰12 Β· ⭐ 200 Β· πŸ’€) - An automatic ML model optimization tool. ❗️GPL-3.0 - Hypermax (πŸ₯‰12 Β· ⭐ 110 Β· πŸ’€) - Better, faster hyper-parameter optimization. BSD-3 - model_search (πŸ₯‰11 Β· ⭐ 3.3K Β· πŸ’€) - AutoML algorithms for model architecture search at scale. Apache-2 - Devol (πŸ₯‰11 Β· ⭐ 950 Β· πŸ’€) - Genetic neural architecture search with Keras. MIT - Hypertunity (πŸ₯‰10 Β· ⭐ 140 Β· πŸ’€) - A toolset for black-box hyperparameter optimisation. Apache-2


Reinforcement Learning

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Libraries for building and evaluating reinforcement learning & agent-based systems.

FinRL (πŸ₯‡32 Β· ⭐ 12K) - FinRL: Financial Reinforcement Learning. MIT - [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.7K Β· πŸ“¦ 97 Β· πŸ“‹ 740 - 34% open Β· ⏱️ 05.05.2025): 
git clone https://github.com/AI4Finance-Foundation/FinRL
- [PyPi](https://pypi.org/project/finrl) (πŸ“₯ 2.6K / month Β· ⏱️ 08.01.2022): 
pip install finrl
ViZDoom (πŸ₯‡29 Β· ⭐ 1.8K) - Reinforcement Learning environments based on the 1993 game Doom. MIT - [GitHub](https://github.com/Farama-Foundation/ViZDoom) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 400 Β· πŸ“₯ 12K Β· πŸ“¦ 330 Β· πŸ“‹ 470 - 6% open Β· ⏱️ 27.05.2025): 
git clone https://github.com/mwydmuch/ViZDoom
- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 6.6K / month Β· πŸ“¦ 17 Β· ⏱️ 29.05.2025): 
pip install vizdoom
Acme (πŸ₯ˆ28 Β· ⭐ 3.7K) - A library of reinforcement learning components and agents. Apache-2 - [GitHub](https://github.com/google-deepmind/acme) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 470 Β· πŸ“¦ 240 Β· πŸ“‹ 270 - 23% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/deepmind/acme
- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 1.4K / month Β· πŸ“¦ 3 Β· ⏱️ 10.02.2022): 
pip install dm-acme
- [Conda](https://anaconda.org/conda-forge/dm-acme) (πŸ“₯ 13K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge dm-acme
TF-Agents (πŸ₯ˆ28 Β· ⭐ 2.9K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2 - [GitHub](https://github.com/tensorflow/agents) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 720 Β· πŸ“‹ 680 - 30% open Β· ⏱️ 30.04.2025): 
git clone https://github.com/tensorflow/agents
- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 27K / month Β· πŸ“¦ 14 Β· ⏱️ 14.12.2023): 
pip install tf-agents
Dopamine (πŸ₯ˆ26 Β· ⭐ 11K) - Dopamine is a research framework for fast prototyping of.. Apache-2 - [GitHub](https://github.com/google/dopamine) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 1.4K Β· πŸ“¦ 21 Β· πŸ“‹ 190 - 54% open Β· ⏱️ 04.11.2024): 
git clone https://github.com/google/dopamine
- [PyPi](https://pypi.org/project/dopamine-rl) (πŸ“₯ 23K / month Β· πŸ“¦ 10 Β· ⏱️ 31.10.2024): 
pip install dopamine-rl
TensorForce (πŸ₯ˆ26 Β· ⭐ 3.3K Β· πŸ’€) - Tensorforce: a TensorFlow library for applied.. Apache-2 - [GitHub](https://github.com/tensorforce/tensorforce) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 530 Β· πŸ“¦ 460 Β· πŸ“‹ 680 - 6% open Β· ⏱️ 31.07.2024): 
git clone https://github.com/tensorforce/tensorforce
- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 360 / month Β· πŸ“¦ 4 Β· ⏱️ 30.08.2021): 
pip install tensorforce
RLax (πŸ₯ˆ26 Β· ⭐ 1.3K) - A library of reinforcement learning building blocks in JAX. Apache-2 - [GitHub](https://github.com/google-deepmind/rlax) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 91 Β· πŸ“¦ 340 Β· πŸ“‹ 27 - 29% open Β· ⏱️ 08.05.2025): 
git clone https://github.com/deepmind/rlax
- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 16K / month Β· πŸ“¦ 22 Β· ⏱️ 08.05.2025): 
pip install rlax
PARL (πŸ₯‰24 Β· ⭐ 3.4K) - A high-performance distributed training framework for Reinforcement.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/PARL) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 820 Β· πŸ“¦ 140 Β· πŸ“‹ 540 - 23% open Β· ⏱️ 24.01.2025): 
git clone https://github.com/PaddlePaddle/PARL
- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 530 / month Β· πŸ“¦ 1 Β· ⏱️ 13.05.2022): 
pip install parl
PFRL (πŸ₯‰22 Β· ⭐ 1.2K Β· πŸ’€) - PFRL: a PyTorch-based deep reinforcement learning library. MIT - [GitHub](https://github.com/pfnet/pfrl) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 150 Β· πŸ“¦ 120 Β· πŸ“‹ 80 - 41% open Β· ⏱️ 04.08.2024): 
git clone https://github.com/pfnet/pfrl
- [PyPi](https://pypi.org/project/pfrl) (πŸ“₯ 340 / month Β· πŸ“¦ 1 Β· ⏱️ 16.07.2023): 
pip install pfrl
ReAgent (πŸ₯‰21 Β· ⭐ 3.6K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3 - [GitHub](https://github.com/facebookresearch/ReAgent) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 510 Β· πŸ“‹ 160 - 53% open Β· ⏱️ 12.03.2025): 
git clone https://github.com/facebookresearch/ReAgent
- [PyPi](https://pypi.org/project/reagent) (πŸ“₯ 27 / month Β· ⏱️ 27.05.2020): 
pip install reagent
rliable (πŸ₯‰14 Β· ⭐ 830 Β· πŸ’€) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on.. Apache-2 - [GitHub](https://github.com/google-research/rliable) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 49 Β· πŸ“¦ 210 Β· πŸ“‹ 20 - 15% open Β· ⏱️ 12.08.2024): 
git clone https://github.com/google-research/rliable
- [PyPi](https://pypi.org/project/rliable`): 
pip install rliable`
Show 12 hidden projects... - OpenAI Gym (πŸ₯‡42 Β· ⭐ 36K Β· πŸ’€) - A toolkit for developing and comparing reinforcement learning.. MIT - baselines (πŸ₯ˆ28 Β· ⭐ 16K Β· πŸ’€) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT - TensorLayer (πŸ₯ˆ27 Β· ⭐ 7.4K Β· πŸ’€) - Deep Learning and Reinforcement Learning Library for.. Apache-2 - keras-rl (πŸ₯ˆ27 Β· ⭐ 5.6K Β· πŸ’€) - Deep Reinforcement Learning for Keras. MIT - garage (πŸ₯‰25 Β· ⭐ 2K Β· πŸ’€) - A toolkit for reproducible reinforcement learning research. MIT - Stable Baselines (πŸ₯‰24 Β· ⭐ 4.3K Β· πŸ’€) - A fork of OpenAI Baselines, implementations of.. MIT - ChainerRL (πŸ₯‰24 Β· ⭐ 1.2K Β· πŸ’€) - ChainerRL is a deep reinforcement learning library built on top of.. MIT - TRFL (πŸ₯‰22 Β· ⭐ 3.1K Β· πŸ’€) - TensorFlow Reinforcement Learning. Apache-2 - Coach (πŸ₯‰20 Β· ⭐ 2.3K Β· πŸ’€) - Reinforcement Learning Coach by Intel AI Lab enables easy.. Apache-2 - SerpentAI (πŸ₯‰18 Β· ⭐ 6.9K Β· πŸ’€) - Game Agent Framework. Helping you create AIs / Bots that learn to.. MIT - DeepMind Lab (πŸ₯‰17 Β· ⭐ 7.2K Β· πŸ’€) - A customisable 3D platform for agent-based AI research. ❗Unlicensed - Maze (πŸ₯‰12 Β· ⭐ 280 Β· πŸ’€) - Maze Applied Reinforcement Learning Framework. ❗️Custom


Recommender Systems

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Libraries for building and evaluating recommendation systems.

Recommenders (πŸ₯‡35 Β· ⭐ 20K) - Best Practices on Recommendation Systems. MIT - [GitHub](https://github.com/recommenders-team/recommenders) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 3.2K Β· πŸ“₯ 740 Β· πŸ“¦ 180 Β· πŸ“‹ 890 - 18% open Β· ⏱️ 08.05.2025): 
git clone https://github.com/microsoft/recommenders
- [PyPi](https://pypi.org/project/recommenders) (πŸ“₯ 20K / month Β· πŸ“¦ 4 Β· ⏱️ 24.12.2024): 
pip install recommenders
torchrec (πŸ₯‡30 Β· ⭐ 2.2K) - Pytorch domain library for recommendation systems. BSD-3 - [GitHub](https://github.com/pytorch/torchrec) (πŸ‘¨β€πŸ’» 350 Β· πŸ”€ 510 Β· πŸ“¦ 220 Β· πŸ“‹ 480 - 70% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/pytorch/torchrec
- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (πŸ“₯ 960 / month Β· ⏱️ 12.05.2022): 
pip install torchrec-nightly-cpu
Cornac (πŸ₯‡30 Β· ⭐ 960) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 - [GitHub](https://github.com/PreferredAI/cornac) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 150 Β· πŸ“¦ 290 Β· πŸ“‹ 170 - 17% open Β· ⏱️ 26.04.2025): 
git clone https://github.com/PreferredAI/cornac
- [PyPi](https://pypi.org/project/cornac) (πŸ“₯ 54K / month Β· πŸ“¦ 18 Β· ⏱️ 26.04.2025): 
pip install cornac
- [Conda](https://anaconda.org/conda-forge/cornac) (πŸ“₯ 830K Β· ⏱️ 26.04.2025): 
conda install -c conda-forge cornac
scikit-surprise (πŸ₯ˆ28 Β· ⭐ 6.6K Β· πŸ’€) - A Python scikit for building and analyzing recommender.. BSD-3 - [GitHub](https://github.com/NicolasHug/Surprise) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 1K Β· πŸ“¦ 21 Β· πŸ“‹ 400 - 21% open Β· ⏱️ 14.06.2024): 
git clone https://github.com/NicolasHug/Surprise
- [PyPi](https://pypi.org/project/scikit-surprise) (πŸ“₯ 140K / month Β· πŸ“¦ 37 Β· ⏱️ 19.05.2024): 
pip install scikit-surprise
- [Conda](https://anaconda.org/conda-forge/scikit-surprise) (πŸ“₯ 490K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge scikit-surprise
RecBole (πŸ₯‰27 Β· ⭐ 3.8K) - A unified, comprehensive and efficient recommendation library. MIT - [GitHub](https://github.com/RUCAIBox/RecBole) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 660 Β· πŸ“‹ 1K - 30% open Β· ⏱️ 24.02.2025): 
git clone https://github.com/RUCAIBox/RecBole
- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 95K / month Β· πŸ“¦ 2 Β· ⏱️ 24.02.2025): 
pip install recbole
- [Conda](https://anaconda.org/aibox/recbole) (πŸ“₯ 8.6K Β· ⏱️ 25.03.2025): 
conda install -c aibox recbole
TF Recommenders (πŸ₯‰24 Β· ⭐ 1.9K) - TensorFlow Recommenders is a library for building.. Apache-2 - [GitHub](https://github.com/tensorflow/recommenders) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 290 Β· πŸ“‹ 450 - 59% open Β· ⏱️ 16.01.2025): 
git clone https://github.com/tensorflow/recommenders
- [PyPi](https://pypi.org/project/tensorflow-recommenders) (πŸ“₯ 240K / month Β· πŸ“¦ 2 Β· ⏱️ 03.02.2023): 
pip install tensorflow-recommenders
Show 11 hidden projects... - implicit (πŸ₯‡30 Β· ⭐ 3.7K Β· πŸ’€) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT - lightfm (πŸ₯ˆ29 Β· ⭐ 4.9K Β· πŸ’€) - A Python implementation of LightFM, a hybrid recommendation.. Apache-2 - lkpy (πŸ₯ˆ29 Β· ⭐ 290) - Python recommendation toolkit. MIT - TF Ranking (πŸ₯‰26 Β· ⭐ 2.8K Β· πŸ’€) - Learning to Rank in TensorFlow. Apache-2 - tensorrec (πŸ₯‰21 Β· ⭐ 1.3K Β· πŸ’€) - A TensorFlow recommendation algorithm and framework in.. Apache-2 - fastFM (πŸ₯‰21 Β· ⭐ 1.1K Β· πŸ’€) - fastFM: A Library for Factorization Machines. BSD-3 - Spotlight (πŸ₯‰19 Β· ⭐ 3K Β· πŸ’€) - Deep recommender models using PyTorch. MIT - recmetrics (πŸ₯‰19 Β· ⭐ 580 Β· πŸ’€) - A library of metrics for evaluating recommender systems. MIT - Case Recommender (πŸ₯‰18 Β· ⭐ 500 Β· πŸ’€) - Case Recommender: A Flexible and Extensible Python.. MIT - OpenRec (πŸ₯‰16 Β· ⭐ 410 Β· πŸ’€) - OpenRec is an open-source and modular library for neural network-.. Apache-2 - Collie (πŸ₯‰11 Β· ⭐ 100 Β· πŸ’€) - A library for preparing, training, and evaluating scalable deep.. BSD-3


Privacy Machine Learning

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Libraries for encrypted and privacy-preserving machine learning using methods like federated learning & differential privacy.

PySyft (πŸ₯‡32 Β· ⭐ 9.7K) - Perform data science on data that remains in someone elses server. Apache-2 - [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 520 Β· πŸ”€ 2K Β· πŸ“₯ 2K Β· πŸ“¦ 1 Β· πŸ“‹ 3.4K - 1% open Β· ⏱️ 13.04.2025): 
git clone https://github.com/OpenMined/PySyft
- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 5.9K / month Β· πŸ“¦ 5 Β· ⏱️ 13.04.2025): 
pip install syft
Opacus (πŸ₯‡32 Β· ⭐ 1.8K) - Training PyTorch models with differential privacy. Apache-2 - [GitHub](https://github.com/pytorch/opacus) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 370 Β· πŸ“₯ 140 Β· πŸ“¦ 1.1K Β· πŸ“‹ 330 - 20% open Β· ⏱️ 27.05.2025): 
git clone https://github.com/pytorch/opacus
- [PyPi](https://pypi.org/project/opacus) (πŸ“₯ 110K / month Β· πŸ“¦ 49 Β· ⏱️ 27.05.2025): 
pip install opacus
- [Conda](https://anaconda.org/conda-forge/opacus) (πŸ“₯ 24K Β· ⏱️ 27.05.2025): 
conda install -c conda-forge opacus
TensorFlow Privacy (πŸ₯ˆ25 Β· ⭐ 2K) - Library for training machine learning models with.. Apache-2 - [GitHub](https://github.com/tensorflow/privacy) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 450 Β· πŸ“₯ 190 Β· πŸ“‹ 210 - 55% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/tensorflow/privacy
- [PyPi](https://pypi.org/project/tensorflow-privacy) (πŸ“₯ 20K / month Β· πŸ“¦ 21 Β· ⏱️ 14.02.2024): 
pip install tensorflow-privacy
TFEncrypted (πŸ₯‰24 Β· ⭐ 1.2K Β· πŸ’€) - A Framework for Encrypted Machine Learning in.. Apache-2 - [GitHub](https://github.com/tf-encrypted/tf-encrypted) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 210 Β· πŸ“¦ 68 Β· πŸ“‹ 440 - 32% open Β· ⏱️ 25.09.2024): 
git clone https://github.com/tf-encrypted/tf-encrypted
- [PyPi](https://pypi.org/project/tf-encrypted) (πŸ“₯ 330 / month Β· πŸ“¦ 9 Β· ⏱️ 16.11.2022): 
pip install tf-encrypted
FATE (πŸ₯‰23 Β· ⭐ 5.9K) - An Industrial Grade Federated Learning Framework. Apache-2 - [GitHub](https://github.com/FederatedAI/FATE) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.6K Β· πŸ“‹ 2.1K - 3% open Β· ⏱️ 19.11.2024): 
git clone https://github.com/FederatedAI/FATE
- [PyPi](https://pypi.org/project/ETAF) (⏱️ 06.05.2020): 
pip install ETAF
CrypTen (πŸ₯‰21 Β· ⭐ 1.6K) - A framework for Privacy Preserving Machine Learning. MIT - [GitHub](https://github.com/facebookresearch/CrypTen) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 290 Β· πŸ“‹ 280 - 28% open Β· ⏱️ 23.11.2024): 
git clone https://github.com/facebookresearch/CrypTen
- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 390 / month Β· πŸ“¦ 1 Β· ⏱️ 08.12.2022): 
pip install crypten
Show 1 hidden projects... - PipelineDP (πŸ₯‰20 Β· ⭐ 280) - PipelineDP is a Python framework for applying differentially.. Apache-2


Workflow & Experiment Tracking

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Libraries to organize, track, and visualize machine learning experiments.

mlflow (πŸ₯‡44 Β· ⭐ 21K) - Open source platform for the machine learning lifecycle. Apache-2 - [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 860 Β· πŸ”€ 4.5K Β· πŸ“¦ 63K Β· πŸ“‹ 4.7K - 39% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/mlflow/mlflow
- [PyPi](https://pypi.org/project/mlflow) (πŸ“₯ 18M / month Β· πŸ“¦ 1.1K Β· ⏱️ 29.05.2025): 
pip install mlflow
- [Conda](https://anaconda.org/conda-forge/mlflow) (πŸ“₯ 3.2M Β· ⏱️ 26.04.2025): 
conda install -c conda-forge mlflow
wandb client (πŸ₯‡43 Β· ⭐ 9.9K) - The AI developer platform. Use Weights & Biases to train and fine-.. MIT - [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 740 Β· πŸ“₯ 740 Β· πŸ“¦ 80K Β· πŸ“‹ 3.6K - 17% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/wandb/client
- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 19M / month Β· πŸ“¦ 1.9K Β· ⏱️ 22.05.2025): 
pip install wandb
- [Conda](https://anaconda.org/conda-forge/wandb) (πŸ“₯ 1.1M Β· ⏱️ 08.05.2025): 
conda install -c conda-forge wandb
Tensorboard (πŸ₯‡43 Β· ⭐ 6.9K) - TensorFlows Visualization Toolkit. Apache-2 - [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 1.7K Β· πŸ“¦ 330K Β· πŸ“‹ 1.9K - 36% open Β· ⏱️ 28.05.2025): 
git clone https://github.com/tensorflow/tensorboard
- [PyPi](https://pypi.org/project/tensorboard) (πŸ“₯ 27M / month Β· πŸ“¦ 2.5K Β· ⏱️ 12.02.2025): 
pip install tensorboard
- [Conda](https://anaconda.org/conda-forge/tensorboard) (πŸ“₯ 5.6M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge tensorboard
DVC (πŸ₯‡41 Β· ⭐ 14K) - Data Versioning and ML Experiments. Apache-2 - [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 1.2K Β· πŸ“¦ 24K Β· πŸ“‹ 4.8K - 5% open Β· ⏱️ 27.05.2025): 
git clone https://github.com/iterative/dvc
- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 680K / month Β· πŸ“¦ 140 Β· ⏱️ 06.05.2025): 
pip install dvc
- [Conda](https://anaconda.org/conda-forge/dvc) (πŸ“₯ 2.8M Β· ⏱️ 06.05.2025): 
conda install -c conda-forge dvc
SageMaker SDK (πŸ₯‡41 Β· ⭐ 2.2K) - A library for training and deploying machine learning.. Apache-2 - [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 1.2K Β· πŸ“¦ 6K Β· πŸ“‹ 1.6K - 20% open Β· ⏱️ 28.05.2025): 
git clone https://github.com/aws/sagemaker-python-sdk
- [PyPi](https://pypi.org/project/sagemaker) (πŸ“₯ 26M / month Β· πŸ“¦ 180 Β· ⏱️ 28.05.2025): 
pip install sagemaker
- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (πŸ“₯ 1.5M Β· ⏱️ 29.05.2025): 
conda install -c conda-forge sagemaker-python-sdk
Metaflow (πŸ₯ˆ36 Β· ⭐ 8.8K) - Build, Manage and Deploy AI/ML Systems. Apache-2 - [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 830 Β· πŸ“¦ 910 Β· πŸ“‹ 800 - 43% open Β· ⏱️ 28.05.2025): 
git clone https://github.com/Netflix/metaflow
- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 270K / month Β· πŸ“¦ 52 Β· ⏱️ 21.05.2025): 
pip install metaflow
- [Conda](https://anaconda.org/conda-forge/metaflow) (πŸ“₯ 300K Β· ⏱️ 28.05.2025): 
conda install -c conda-forge metaflow
PyCaret (πŸ₯ˆ34 Β· ⭐ 9.3K) - An open-source, low-code machine learning library in Python. MIT - [GitHub](https://github.com/pycaret/pycaret) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.8K Β· πŸ“₯ 730 Β· πŸ“¦ 7.7K Β· πŸ“‹ 2.3K - 16% open Β· ⏱️ 06.03.2025): 
git clone https://github.com/pycaret/pycaret
- [PyPi](https://pypi.org/project/pycaret) (πŸ“₯ 340K / month Β· πŸ“¦ 31 Β· ⏱️ 28.04.2024): 
pip install pycaret
- [Conda](https://anaconda.org/conda-forge/pycaret) (πŸ“₯ 70K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pycaret
ClearML (πŸ₯ˆ34 Β· ⭐ 6K) - ClearML - Auto-Magical CI/CD to streamline your AI workload... Apache-2 - [GitHub](https://github.com/clearml/clearml) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 680 Β· πŸ“₯ 3.3K Β· πŸ“¦ 1.8K Β· πŸ“‹ 1.1K - 43% open Β· ⏱️ 26.05.2025): 
git clone https://github.com/allegroai/clearml
- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 380K / month Β· πŸ“¦ 58 Β· ⏱️ 22.05.2025): 
pip install clearml
- [Docker Hub](https://hub.docker.com/r/allegroai/trains) (πŸ“₯ 31K Β· ⏱️ 05.10.2020): 
docker pull allegroai/trains
snakemake (πŸ₯ˆ34 Β· ⭐ 2.5K) - This is the development home of the workflow management system.. MIT - [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 370 Β· πŸ”€ 590 Β· πŸ“¦ 2.4K Β· πŸ“‹ 2K - 60% open Β· ⏱️ 23.05.2025): 
git clone https://github.com/snakemake/snakemake
- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 78K / month Β· πŸ“¦ 290 Β· ⏱️ 23.05.2025): 
pip install snakemake
- [Conda](https://anaconda.org/bioconda/snakemake) (πŸ“₯ 1.4M Β· ⏱️ 23.05.2025): 
conda install -c bioconda snakemake
tensorboardX (πŸ₯ˆ33 Β· ⭐ 7.9K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT - [GitHub](https://github.com/lanpa/tensorboardX) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 860 Β· πŸ“₯ 480 Β· πŸ“¦ 58K Β· πŸ“‹ 460 - 17% open Β· ⏱️ 24.04.2025): 
git clone https://github.com/lanpa/tensorboardX
- [PyPi](https://pypi.org/project/tensorboardX) (πŸ“₯ 2.8M / month Β· πŸ“¦ 620 Β· ⏱️ 20.08.2023): 
pip install tensorboardX
- [Conda](https://anaconda.org/conda-forge/tensorboardx) (πŸ“₯ 1.3M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge tensorboardx
kaggle (πŸ₯ˆ33 Β· ⭐ 6.6K) - Official Kaggle API. Apache-2 - [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 1.2K Β· πŸ“¦ 21 Β· πŸ“‹ 520 - 27% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/Kaggle/kaggle-api
- [PyPi](https://pypi.org/project/kaggle) (πŸ“₯ 350K / month Β· πŸ“¦ 240 Β· ⏱️ 08.05.2025): 
pip install kaggle
- [Conda](https://anaconda.org/conda-forge/kaggle) (πŸ“₯ 230K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge kaggle
aim (πŸ₯ˆ33 Β· ⭐ 5.6K) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2 - [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 340 Β· πŸ“¦ 900 Β· πŸ“‹ 1.1K - 36% open Β· ⏱️ 08.05.2025): 
git clone https://github.com/aimhubio/aim
- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 110K / month Β· πŸ“¦ 41 Β· ⏱️ 28.05.2025): 
pip install aim
- [Conda](https://anaconda.org/conda-forge/aim) (πŸ“₯ 120K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge aim
AzureML SDK (πŸ₯ˆ31 Β· ⭐ 4.2K) - Python notebooks with ML and deep learning examples with Azure.. MIT - [GitHub](https://github.com/Azure/MachineLearningNotebooks) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 2.5K Β· πŸ“₯ 660 Β· πŸ“‹ 1.5K - 26% open Β· ⏱️ 14.03.2025): 
git clone https://github.com/Azure/MachineLearningNotebooks
- [PyPi](https://pypi.org/project/azureml-sdk) (πŸ“₯ 380K / month Β· πŸ“¦ 31 Β· ⏱️ 11.04.2025): 
pip install azureml-sdk
sacred (πŸ₯ˆ30 Β· ⭐ 4.3K) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT - [GitHub](https://github.com/IDSIA/sacred) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 380 Β· πŸ“¦ 3.6K Β· πŸ“‹ 560 - 18% open Β· ⏱️ 26.11.2024): 
git clone https://github.com/IDSIA/sacred
- [PyPi](https://pypi.org/project/sacred) (πŸ“₯ 27K / month Β· πŸ“¦ 60 Β· ⏱️ 26.11.2024): 
pip install sacred
- [Conda](https://anaconda.org/conda-forge/sacred) (πŸ“₯ 8.9K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge sacred
VisualDL (πŸ₯ˆ29 Β· ⭐ 4.8K Β· πŸ“ˆ) - Deep Learning Visualization Toolkit. Apache-2 - [GitHub](https://github.com/PaddlePaddle/VisualDL) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 630 Β· πŸ“₯ 510 Β· πŸ“¦ 3.5K Β· πŸ“‹ 510 - 30% open Β· ⏱️ 22.01.2025): 
git clone https://github.com/PaddlePaddle/VisualDL
- [PyPi](https://pypi.org/project/visualdl) (πŸ“₯ 130K / month Β· πŸ“¦ 82 Β· ⏱️ 30.10.2024): 
pip install visualdl
ml-metadata (πŸ₯ˆ28 Β· ⭐ 650) - For recording and retrieving metadata associated with ML.. Apache-2 - [GitHub](https://github.com/google/ml-metadata) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 160 Β· πŸ“₯ 3K Β· πŸ“¦ 700 Β· πŸ“‹ 120 - 39% open Β· ⏱️ 03.04.2025): 
git clone https://github.com/google/ml-metadata
- [PyPi](https://pypi.org/project/ml-metadata) (πŸ“₯ 65K / month Β· πŸ“¦ 32 Β· ⏱️ 07.04.2025): 
pip install ml-metadata
livelossplot (πŸ₯‰27 Β· ⭐ 1.3K) - Live training loss plot in Jupyter Notebook for Keras,.. MIT - [GitHub](https://github.com/stared/livelossplot) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 140 Β· πŸ“¦ 1.9K Β· πŸ“‹ 79 - 7% open Β· ⏱️ 03.01.2025): 
git clone https://github.com/stared/livelossplot
- [PyPi](https://pypi.org/project/livelossplot) (πŸ“₯ 14K / month Β· πŸ“¦ 16 Β· ⏱️ 03.01.2025): 
pip install livelossplot
Neptune.ai (πŸ₯‰27 Β· ⭐ 620 Β· πŸ“‰) - The experiment tracker for foundation model training. Apache-2 - [GitHub](https://github.com/neptune-ai/neptune-client) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 65 Β· πŸ“‹ 260 - 12% open Β· ⏱️ 16.04.2025): 
git clone https://github.com/neptune-ai/neptune-client
- [PyPi](https://pypi.org/project/neptune-client) (πŸ“₯ 490K / month Β· πŸ“¦ 77 Β· ⏱️ 15.04.2025): 
pip install neptune-client
- [Conda](https://anaconda.org/conda-forge/neptune-client) (πŸ“₯ 350K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge neptune-client
quinn (πŸ₯‰26 Β· ⭐ 670) - pyspark methods to enhance developer productivity. Apache-2 - [GitHub](https://github.com/mrpowers-io/quinn) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 97 Β· πŸ“₯ 57 Β· πŸ“¦ 93 Β· πŸ“‹ 130 - 27% open Β· ⏱️ 06.12.2024): 
git clone https://github.com/MrPowers/quinn
- [PyPi](https://pypi.org/project/quinn) (πŸ“₯ 580K / month Β· πŸ“¦ 7 Β· ⏱️ 13.02.2024): 
pip install quinn
Labml (πŸ₯‰25 Β· ⭐ 2.2K) - Monitor deep learning model training and hardware usage from your mobile.. MIT - [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 140 Β· πŸ“¦ 230 Β· πŸ“‹ 50 - 12% open Β· ⏱️ 10.04.2025): 
git clone https://github.com/labmlai/labml
- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 1.7K / month Β· πŸ“¦ 14 Β· ⏱️ 15.09.2024): 
pip install labml
TNT (πŸ₯‰25 Β· ⭐ 1.7K) - A lightweight library for PyTorch training tools and utilities. BSD-3 - [GitHub](https://github.com/pytorch/tnt) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 280 Β· πŸ“‹ 150 - 56% open Β· ⏱️ 12.05.2025): 
git clone https://github.com/pytorch/tnt
- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 5.9K / month Β· πŸ“¦ 24 Β· ⏱️ 29.07.2018): 
pip install torchnet
gokart (πŸ₯‰25 Β· ⭐ 320) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT - [GitHub](https://github.com/m3dev/gokart) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 62 Β· πŸ“¦ 85 Β· πŸ“‹ 99 - 32% open Β· ⏱️ 29.04.2025): 
git clone https://github.com/m3dev/gokart
- [PyPi](https://pypi.org/project/gokart) (πŸ“₯ 5.4K / month Β· πŸ“¦ 8 Β· ⏱️ 27.02.2025): 
pip install gokart
Guild AI (πŸ₯‰23 Β· ⭐ 880) - Experiment tracking, ML developer tools. Apache-2 - [GitHub](https://github.com/guildai/guildai) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 88 Β· πŸ“₯ 31 Β· πŸ“¦ 100 Β· πŸ“‹ 440 - 50% open Β· ⏱️ 29.04.2025): 
git clone https://github.com/guildai/guildai
- [PyPi](https://pypi.org/project/guildai) (πŸ“₯ 1.3K / month Β· ⏱️ 11.05.2022): 
pip install guildai
keepsake (πŸ₯‰17 Β· ⭐ 1.7K) - Version control for machine learning. Apache-2 - [GitHub](https://github.com/replicate/keepsake) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 71 Β· πŸ“‹ 190 - 66% open Β· ⏱️ 03.12.2024): 
git clone https://github.com/replicate/keepsake
- [PyPi](https://pypi.org/project/keepsake) (πŸ“₯ 78 / month Β· πŸ“¦ 1 Β· ⏱️ 25.01.2021): 
pip install keepsake
CometML (πŸ₯‰15) - Supercharging Machine Learning. MIT - [GitHub](): 
git clone https://github.com/comet-ml/examples
- [PyPi](https://pypi.org/project/comet_ml) (πŸ“₯ 430K / month Β· πŸ“¦ 94 Β· ⏱️ 14.05.2025): 
pip install comet_ml
- [Conda](https://anaconda.org/anaconda/comet_ml): 
conda install -c anaconda comet_ml
Show 15 hidden projects... - Catalyst (πŸ₯ˆ28 Β· ⭐ 3.4K Β· πŸ’€) - Accelerated deep learning R&D. Apache-2 - knockknock (πŸ₯‰26 Β· ⭐ 2.8K Β· πŸ’€) - Knock Knock: Get notified when your training ends with only two.. MIT - SKLL (πŸ₯‰23 Β· ⭐ 560) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. ❗Unlicensed - hiddenlayer (πŸ₯‰22 Β· ⭐ 1.8K Β· πŸ’€) - Neural network graphs and training metrics for.. MIT - TensorBoard Logger (πŸ₯‰21 Β· ⭐ 630 Β· πŸ’€) - Log TensorBoard events without touching TensorFlow. MIT - Studio.ml (πŸ₯‰21 Β· ⭐ 380 Β· πŸ’€) - Studio: Simplify and expedite model building process. Apache-2 - TensorWatch (πŸ₯‰20 Β· ⭐ 3.4K Β· πŸ’€) - Debugging, monitoring and visualization for Python Machine.. MIT - lore (πŸ₯‰20 Β· ⭐ 1.6K Β· πŸ’€) - Lore makes machine learning approachable for Software Engineers and.. MIT - MXBoard (πŸ₯‰20 Β· ⭐ 320 Β· πŸ’€) - Logging MXNet data for visualization in TensorBoard. Apache-2 - datmo (πŸ₯‰17 Β· ⭐ 340 Β· πŸ’€) - Open source production model management tool for data scientists. MIT - chitra (πŸ₯‰17 Β· ⭐ 230 Β· πŸ’€) - A multi-functional library for full-stack Deep Learning... Apache-2 - steppy (πŸ₯‰16 Β· ⭐ 130 Β· πŸ’€) - Lightweight, Python library for fast and reproducible experimentation. MIT - caliban (πŸ₯‰15 Β· ⭐ 500 Β· πŸ’€) - Research workflows made easy, locally and in the Cloud. Apache-2 - ModelChimp (πŸ₯‰12 Β· ⭐ 130 Β· πŸ’€) - Experiment tracking for machine and deep learning projects. BSD-2 - traintool (πŸ₯‰9 Β· ⭐ 12 Β· πŸ’€) - Train off-the-shelf machine learning models in one.. Apache-2


Model Serialization & Deployment

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Libraries to serialize models to files, convert between a variety of model formats, and optimize models for deployment.

onnx (πŸ₯‡43 Β· ⭐ 19K) - Open standard for machine learning interoperability. Apache-2 - [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 3.7K Β· πŸ“₯ 24K Β· πŸ“¦ 47K Β· πŸ“‹ 3K - 10% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/onnx/onnx
- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 7.1M / month Β· πŸ“¦ 1.3K Β· ⏱️ 12.05.2025): 
pip install onnx
- [Conda](https://anaconda.org/conda-forge/onnx) (πŸ“₯ 1.8M Β· ⏱️ 16.05.2025): 
conda install -c conda-forge onnx
triton (πŸ₯‡43 Β· ⭐ 16K) - Development repository for the Triton language and compiler. MIT - [GitHub](https://github.com/triton-lang/triton) (πŸ‘¨β€πŸ’» 400 Β· πŸ”€ 1.9K Β· πŸ“¦ 70K Β· πŸ“‹ 1.8K - 42% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/openai/triton
- [PyPi](https://pypi.org/project/triton) (πŸ“₯ 23M / month Β· πŸ“¦ 400 Β· ⏱️ 09.04.2025): 
pip install triton
huggingface_hub (πŸ₯ˆ38 Β· ⭐ 2.6K) - The official Python client for the Huggingface Hub. Apache-2 - [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 720 Β· πŸ“‹ 1.2K - 15% open Β· ⏱️ 28.05.2025): 
git clone https://github.com/huggingface/huggingface_hub
- [PyPi](https://pypi.org/project/huggingface_hub) (πŸ“₯ 90M / month Β· πŸ“¦ 3.1K Β· ⏱️ 27.05.2025): 
pip install huggingface_hub
- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (πŸ“₯ 3.3M Β· ⏱️ 19.05.2025): 
conda install -c conda-forge huggingface_hub
Core ML Tools (πŸ₯ˆ36 Β· ⭐ 4.7K) - Core ML tools contain supporting tools for Core ML model.. BSD-3 - [GitHub](https://github.com/apple/coremltools) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 680 Β· πŸ“₯ 15K Β· πŸ“¦ 4.9K Β· πŸ“‹ 1.5K - 25% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/apple/coremltools
- [PyPi](https://pypi.org/project/coremltools) (πŸ“₯ 480K / month Β· πŸ“¦ 98 Β· ⏱️ 28.04.2025): 
pip install coremltools
- [Conda](https://anaconda.org/conda-forge/coremltools) (πŸ“₯ 98K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge coremltools
BentoML (πŸ₯ˆ35 Β· ⭐ 7.7K) - The easiest way to serve AI apps and models - Build Model Inference.. Apache-2 - [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 840 Β· πŸ“₯ 380 Β· πŸ“¦ 2.7K Β· πŸ“‹ 1.1K - 11% open Β· ⏱️ 28.05.2025): 
git clone https://github.com/bentoml/BentoML
- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 100K / month Β· πŸ“¦ 40 Β· ⏱️ 23.05.2025): 
pip install bentoml
TorchServe (πŸ₯ˆ33 Β· ⭐ 4.4K) - Serve, optimize and scale PyTorch models in production. Apache-2 - [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 880 Β· πŸ“₯ 7.7K Β· πŸ“¦ 880 Β· πŸ“‹ 1.7K - 25% open Β· ⏱️ 17.03.2025): 
git clone https://github.com/pytorch/serve
- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 94K / month Β· πŸ“¦ 24 Β· ⏱️ 30.09.2024): 
pip install torchserve
- [Conda](https://anaconda.org/pytorch/torchserve) (πŸ“₯ 500K Β· ⏱️ 25.03.2025): 
conda install -c pytorch torchserve
- [Docker Hub](https://hub.docker.com/r/pytorch/torchserve) (πŸ“₯ 1.4M Β· ⭐ 32 Β· ⏱️ 30.09.2024): 
docker pull pytorch/torchserve
hls4ml (πŸ₯ˆ30 Β· ⭐ 1.5K) - Machine learning on FPGAs using HLS. Apache-2 - [GitHub](https://github.com/fastmachinelearning/hls4ml) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 440 Β· πŸ“¦ 47 Β· πŸ“‹ 480 - 42% open Β· ⏱️ 26.05.2025): 
git clone https://github.com/fastmachinelearning/hls4ml
- [PyPi](https://pypi.org/project/hls4ml) (πŸ“₯ 1.8K / month Β· πŸ“¦ 1 Β· ⏱️ 17.03.2025): 
pip install hls4ml
- [Conda](https://anaconda.org/conda-forge/hls4ml) (πŸ“₯ 11K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge hls4ml
Hummingbird (πŸ₯‰24 Β· ⭐ 3.4K Β· πŸ’€) - Hummingbird compiles trained ML models into tensor computation.. MIT - [GitHub](https://github.com/microsoft/hummingbird) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 280 Β· πŸ“₯ 850 Β· πŸ“‹ 330 - 20% open Β· ⏱️ 24.10.2024): 
git clone https://github.com/microsoft/hummingbird
- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 5.6K / month Β· πŸ“¦ 7 Β· ⏱️ 25.10.2024): 
pip install hummingbird-ml
- [Conda](https://anaconda.org/conda-forge/hummingbird-ml) (πŸ“₯ 59K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge hummingbird-ml
nebullvm (πŸ₯‰21 Β· ⭐ 8.4K Β· πŸ’€) - A collection of libraries to optimise AI model performances. Apache-2 - [GitHub](https://github.com/nebuly-ai/optimate) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 630 Β· πŸ“‹ 200 - 49% open Β· ⏱️ 22.07.2024): 
git clone https://github.com/nebuly-ai/nebullvm
- [PyPi](https://pypi.org/project/nebullvm) (πŸ“₯ 480 / month Β· πŸ“¦ 2 Β· ⏱️ 18.06.2023): 
pip install nebullvm
tfdeploy (πŸ₯‰16 Β· ⭐ 350) - Deploy tensorflow graphs for fast evaluation and export to.. BSD-3 - [GitHub](https://github.com/riga/tfdeploy) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 38 Β· πŸ“‹ 34 - 32% open Β· ⏱️ 04.01.2025): 
git clone https://github.com/riga/tfdeploy
- [PyPi](https://pypi.org/project/tfdeploy) (πŸ“₯ 52 / month Β· ⏱️ 30.03.2017): 
pip install tfdeploy
Show 10 hidden projects... - mmdnn (πŸ₯ˆ25 Β· ⭐ 5.8K Β· πŸ’€) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT - m2cgen (πŸ₯ˆ25 Β· ⭐ 2.9K Β· πŸ’€) - Transform ML models into a native code (Java, C, Python, Go,.. MIT - sklearn-porter (πŸ₯‰23 Β· ⭐ 1.3K Β· πŸ’€) - Transpile trained scikit-learn estimators to C, Java,.. BSD-3 - cortex (πŸ₯‰22 Β· ⭐ 8K Β· πŸ’€) - Production infrastructure for machine learning at scale. Apache-2 - OMLT (πŸ₯‰21 Β· ⭐ 320) - Represent trained machine learning models as Pyomo optimization.. ❗Unlicensed - pytorch2keras (πŸ₯‰19 Β· ⭐ 860 Β· πŸ’€) - PyTorch to Keras model convertor. MIT - Larq Compute Engine (πŸ₯‰19 Β· ⭐ 250) - Highly optimized inference engine for Binarized.. Apache-2 - modelkit (πŸ₯‰18 Β· ⭐ 150 Β· πŸ’€) - Toolkit for developing and maintaining ML models. MIT - backprop (πŸ₯‰15 Β· ⭐ 240 Β· πŸ’€) - Backprop makes it simple to use, finetune, and deploy state-of-.. Apache-2 - ml-ane-transformers (πŸ₯‰13 Β· ⭐ 2.6K Β· πŸ’€) - Reference implementation of the Transformer.. ❗Unlicensed


Model Interpretability

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Libraries to visualize, explain, debug, evaluate, and interpret machine learning models.

shap (πŸ₯‡42 Β· ⭐ 24K) - A game theoretic approach to explain the output of any machine learning model. MIT - [GitHub](https://github.com/shap/shap) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 3.4K Β· πŸ“¦ 33K Β· πŸ“‹ 2.6K - 25% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/slundberg/shap
- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 7.1M / month Β· πŸ“¦ 960 Β· ⏱️ 17.04.2025): 
pip install shap
- [Conda](https://anaconda.org/conda-forge/shap) (πŸ“₯ 6.2M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge shap
arviz (πŸ₯‡36 Β· ⭐ 1.7K) - Exploratory analysis of Bayesian models with Python. Apache-2 - [GitHub](https://github.com/arviz-devs/arviz) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 430 Β· πŸ“₯ 180 Β· πŸ“¦ 11K Β· πŸ“‹ 900 - 21% open Β· ⏱️ 27.05.2025): 
git clone https://github.com/arviz-devs/arviz
- [PyPi](https://pypi.org/project/arviz) (πŸ“₯ 1.8M / month Β· πŸ“¦ 360 Β· ⏱️ 06.03.2025): 
pip install arviz
- [Conda](https://anaconda.org/conda-forge/arviz) (πŸ“₯ 2.4M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge arviz
Netron (πŸ₯‡35 Β· ⭐ 30K) - Visualizer for neural network, deep learning and machine learning.. MIT - [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 2.9K Β· πŸ“₯ 53K Β· πŸ“¦ 13 Β· πŸ“‹ 1.2K - 1% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/lutzroeder/netron
- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 44K / month Β· πŸ“¦ 88 Β· ⏱️ 23.05.2025): 
pip install netron
Captum (πŸ₯‡35 Β· ⭐ 5.2K) - Model interpretability and understanding for PyTorch. BSD-3 - [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 510 Β· πŸ“¦ 3.3K Β· πŸ“‹ 600 - 42% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/pytorch/captum
- [PyPi](https://pypi.org/project/captum) (πŸ“₯ 310K / month Β· πŸ“¦ 170 Β· ⏱️ 27.03.2025): 
pip install captum
- [Conda](https://anaconda.org/conda-forge/captum) (πŸ“₯ 120K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge captum
InterpretML (πŸ₯‡34 Β· ⭐ 6.5K) - Fit interpretable models. Explain blackbox machine learning. MIT - [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 740 Β· πŸ“¦ 900 Β· πŸ“‹ 470 - 22% open Β· ⏱️ 28.05.2025): 
git clone https://github.com/interpretml/interpret
- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 180K / month Β· πŸ“¦ 53 Β· ⏱️ 26.03.2025): 
pip install interpret
shapash (πŸ₯ˆ31 Β· ⭐ 2.9K) - Shapash: User-friendly Explainability and Interpretability to.. Apache-2 - [GitHub](https://github.com/MAIF/shapash) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 340 Β· πŸ“¦ 190 Β· πŸ“‹ 240 - 18% open Β· ⏱️ 16.05.2025): 
git clone https://github.com/MAIF/shapash
- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 10K / month Β· πŸ“¦ 4 Β· ⏱️ 20.03.2025): 
pip install shapash
evaluate (πŸ₯ˆ31 Β· ⭐ 2.2K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2 - [GitHub](https://github.com/huggingface/evaluate) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 270 Β· πŸ“¦ 22K Β· πŸ“‹ 380 - 61% open Β· ⏱️ 10.01.2025): 
git clone https://github.com/huggingface/evaluate
- [PyPi](https://pypi.org/project/evaluate) (πŸ“₯ 3M / month Β· πŸ“¦ 400 Β· ⏱️ 11.09.2024): 
pip install evaluate
explainerdashboard (πŸ₯ˆ30 Β· ⭐ 2.4K) - Quickly build Explainable AI dashboards that show the inner.. MIT - [GitHub](https://github.com/oegedijk/explainerdashboard) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 340 Β· πŸ“¦ 640 Β· πŸ“‹ 240 - 15% open Β· ⏱️ 29.12.2024): 
git clone https://github.com/oegedijk/explainerdashboard
- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 44K / month Β· πŸ“¦ 13 Β· ⏱️ 29.12.2024): 
pip install explainerdashboard
- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (πŸ“₯ 67K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge explainerdashboard
fairlearn (πŸ₯ˆ30 Β· ⭐ 2.1K) - A Python package to assess and improve fairness of machine.. MIT - [GitHub](https://github.com/fairlearn/fairlearn) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 450 Β· πŸ“¦ 3 Β· πŸ“‹ 540 - 28% open Β· ⏱️ 27.05.2025): 
git clone https://github.com/fairlearn/fairlearn
- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 130K / month Β· πŸ“¦ 63 Β· ⏱️ 11.12.2024): 
pip install fairlearn
- [Conda](https://anaconda.org/conda-forge/fairlearn) (πŸ“₯ 46K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge fairlearn
dtreeviz (πŸ₯ˆ28 Β· ⭐ 3.1K) - A python library for decision tree visualization and model interpretation. MIT - [GitHub](https://github.com/parrt/dtreeviz) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 340 Β· πŸ“¦ 1.6K Β· πŸ“‹ 210 - 34% open Β· ⏱️ 06.03.2025): 
git clone https://github.com/parrt/dtreeviz
- [PyPi](https://pypi.org/project/dtreeviz) (πŸ“₯ 92K / month Β· πŸ“¦ 53 Β· ⏱️ 07.07.2022): 
pip install dtreeviz
- [Conda](https://anaconda.org/conda-forge/dtreeviz) (πŸ“₯ 110K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge dtreeviz
DoWhy (πŸ₯ˆ27 Β· ⭐ 7.5K) - DoWhy is a Python library for causal inference that supports explicit.. MIT - [GitHub](https://github.com/py-why/dowhy) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 950 Β· πŸ“₯ 43 Β· πŸ“¦ 610 Β· πŸ“‹ 500 - 27% open Β· ⏱️ 19.05.2025): 
git clone https://github.com/py-why/dowhy
- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 59K / month Β· πŸ“¦ 18 Β· ⏱️ 24.11.2024): 
pip install dowhy
- [Conda](https://anaconda.org/conda-forge/dowhy) (πŸ“₯ 44K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge dowhy
Fairness 360 (πŸ₯ˆ27 Β· ⭐ 2.6K) - A comprehensive set of fairness metrics for datasets and.. Apache-2 - [GitHub](https://github.com/Trusted-AI/AIF360) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 850 Β· πŸ“¦ 690 Β· πŸ“‹ 300 - 65% open Β· ⏱️ 10.12.2024): 
git clone https://github.com/Trusted-AI/AIF360
- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 19K / month Β· πŸ“¦ 32 Β· ⏱️ 08.04.2024): 
pip install aif360
- [Conda](https://anaconda.org/conda-forge/aif360) (πŸ“₯ 23K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge aif360
Model Analysis (πŸ₯ˆ26 Β· ⭐ 1.3K) - Model analysis tools for TensorFlow. Apache-2 - [GitHub](https://github.com/tensorflow/model-analysis) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 280 Β· πŸ“‹ 97 - 39% open Β· ⏱️ 28.04.2025): 
git clone https://github.com/tensorflow/model-analysis
- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 67K / month Β· πŸ“¦ 19 Β· ⏱️ 05.12.2024): 
pip install tensorflow-model-analysis
LIT (πŸ₯‰25 Β· ⭐ 3.6K) - The Learning Interpretability Tool: Interactively analyze ML models to.. Apache-2 - [GitHub](https://github.com/PAIR-code/lit) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 360 Β· πŸ“‹ 210 - 57% open Β· ⏱️ 20.12.2024): 
git clone https://github.com/PAIR-code/lit
- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 5K / month Β· πŸ“¦ 3 Β· ⏱️ 20.12.2024): 
pip install lit-nlp
- [Conda](https://anaconda.org/conda-forge/lit-nlp) (πŸ“₯ 120K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge lit-nlp
responsible-ai-widgets (πŸ₯‰24 Β· ⭐ 1.5K) - Responsible AI Toolbox is a suite of tools providing.. MIT - [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 400 Β· πŸ“‹ 320 - 26% open Β· ⏱️ 07.02.2025): 
git clone https://github.com/microsoft/responsible-ai-toolbox
- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 7.9K / month Β· πŸ“¦ 6 Β· ⏱️ 08.07.2024): 
pip install raiwidgets
imodels (πŸ₯‰24 Β· ⭐ 1.5K) - Interpretable ML package for concise, transparent, and accurate.. MIT - [GitHub](https://github.com/csinva/imodels) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 120 Β· πŸ“¦ 120 Β· πŸ“‹ 95 - 38% open Β· ⏱️ 05.03.2025): 
git clone https://github.com/csinva/imodels
- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 39K / month Β· πŸ“¦ 9 Β· ⏱️ 15.10.2024): 
pip install imodels
keract (πŸ₯‰24 Β· ⭐ 1.1K) - Layers Outputs and Gradients in Keras. Made easy. MIT - [GitHub](https://github.com/philipperemy/keract) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 190 Β· πŸ“¦ 250 Β· πŸ“‹ 89 - 3% open Β· ⏱️ 07.04.2025): 
git clone https://github.com/philipperemy/keract
- [PyPi](https://pypi.org/project/keract) (πŸ“₯ 3.4K / month Β· πŸ“¦ 7 Β· ⏱️ 07.04.2025): 
pip install keract
aequitas (πŸ₯‰24 Β· ⭐ 720) - Bias Auditing & Fair ML Toolkit. MIT - [GitHub](https://github.com/dssg/aequitas) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 120 Β· πŸ“¦ 190 Β· πŸ“‹ 99 - 51% open Β· ⏱️ 25.03.2025): 
git clone https://github.com/dssg/aequitas
- [PyPi](https://pypi.org/project/aequitas) (πŸ“₯ 17K / month Β· πŸ“¦ 8 Β· ⏱️ 30.01.2024): 
pip install aequitas
Explainability 360 (πŸ₯‰23 Β· ⭐ 1.7K) - Interpretability and explainability of data and.. Apache-2 - [GitHub](https://github.com/Trusted-AI/AIX360) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 300 Β· πŸ“¦ 160 Β· πŸ“‹ 86 - 62% open Β· ⏱️ 26.02.2025): 
git clone https://github.com/Trusted-AI/AIX360
- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 860 / month Β· πŸ“¦ 1 Β· ⏱️ 31.07.2023): 
pip install aix360
ecco (πŸ₯‰22 Β· ⭐ 2K Β· πŸ’€) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3 - [GitHub](https://github.com/jalammar/ecco) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 170 Β· πŸ“₯ 140 Β· πŸ“¦ 33 Β· πŸ“‹ 64 - 51% open Β· ⏱️ 15.08.2024): 
git clone https://github.com/jalammar/ecco
- [PyPi](https://pypi.org/project/ecco) (πŸ“₯ 430 / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2022): 
pip install ecco
- [Conda](https://anaconda.org/conda-forge/ecco) (πŸ“₯ 6.8K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge ecco
DiCE (πŸ₯‰22 Β· ⭐ 1.4K Β· πŸ“ˆ) - Generate Diverse Counterfactual Explanations for any machine.. MIT - [GitHub](https://github.com/interpretml/DiCE) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 200 Β· πŸ“‹ 180 - 48% open Β· ⏱️ 25.05.2025): 
git clone https://github.com/interpretml/DiCE
- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 32K / month Β· πŸ“¦ 6 Β· ⏱️ 27.10.2023): 
pip install dice-ml
random-forest-importances (πŸ₯‰22 Β· ⭐ 620) - Code to compute permutation and drop-column.. MIT - [GitHub](https://github.com/parrt/random-forest-importances) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 130 Β· πŸ“¦ 180 Β· πŸ“‹ 39 - 20% open Β· ⏱️ 24.03.2025): 
git clone https://github.com/parrt/random-forest-importances
- [PyPi](https://pypi.org/project/rfpimp) (πŸ“₯ 15K / month Β· πŸ“¦ 5 Β· ⏱️ 28.01.2021): 
pip install rfpimp
LOFO (πŸ₯‰20 Β· ⭐ 840) - Leave One Feature Out Importance. MIT - [GitHub](https://github.com/aerdem4/lofo-importance) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 87 Β· πŸ“¦ 40 Β· πŸ“‹ 30 - 13% open Β· ⏱️ 14.02.2025): 
git clone https://github.com/aerdem4/lofo-importance
- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 1.4K / month Β· πŸ“¦ 5 Β· ⏱️ 14.02.2025): 
pip install lofo-importance
fairness-indicators (πŸ₯‰20 Β· ⭐ 350) - Tensorflows Fairness Evaluation and Visualization.. Apache-2 - [GitHub](https://github.com/tensorflow/fairness-indicators) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 85 Β· πŸ“‹ 39 - 74% open Β· ⏱️ 22.01.2025): 
git clone https://github.com/tensorflow/fairness-indicators
- [PyPi](https://pypi.org/project/fairness-indicators) (πŸ“₯ 1.9K / month Β· ⏱️ 22.01.2025): 
pip install fairness-indicators
ExplainX.ai (πŸ₯‰15 Β· ⭐ 440 Β· πŸ’€) - Explainable AI framework for data scientists. Explain & debug any.. MIT - [GitHub](https://github.com/explainX/explainx) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 55 Β· πŸ“₯ 20 Β· πŸ“‹ 39 - 25% open Β· ⏱️ 21.08.2024): 
git clone https://github.com/explainX/explainx
- [PyPi](https://pypi.org/project/explainx) (πŸ“₯ 180 / month Β· ⏱️ 04.02.2021): 
pip install explainx
Show 30 hidden projects... - Lime (πŸ₯‡33 Β· ⭐ 12K Β· πŸ’€) - Lime: Explaining the predictions of any machine learning classifier. BSD-2 - pyLDAvis (πŸ₯ˆ30 Β· ⭐ 1.8K Β· πŸ’€) - Python library for interactive topic model visualization... BSD-3 - Deep Checks (πŸ₯ˆ29 Β· ⭐ 3.8K) - Deepchecks: Tests for Continuous Validation of ML Models &.. ❗️AGPL-3.0 - yellowbrick (πŸ₯ˆ28 Β· ⭐ 4.3K Β· πŸ’€) - Visual analysis and diagnostic tools to facilitate.. Apache-2 - eli5 (πŸ₯ˆ28 Β· ⭐ 2.8K Β· πŸ’€) - A library for debugging/inspecting machine learning classifiers and.. MIT - scikit-plot (πŸ₯ˆ28 Β· ⭐ 2.4K Β· πŸ’€) - An intuitive library to add plotting functionality to.. MIT - DALEX (πŸ₯ˆ28 Β· ⭐ 1.4K) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0 - Alibi (πŸ₯ˆ26 Β· ⭐ 2.5K) - Algorithms for explaining machine learning models. ❗️Intel - iNNvestigate (πŸ₯ˆ26 Β· ⭐ 1.3K Β· πŸ’€) - A toolbox to iNNvestigate neural networks predictions!. BSD-2 - Lucid (πŸ₯‰25 Β· ⭐ 4.7K Β· πŸ’€) - A collection of infrastructure and tools for research in.. Apache-2 - checklist (πŸ₯‰25 Β· ⭐ 2K Β· πŸ’€) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList. MIT - keras-vis (πŸ₯‰24 Β· ⭐ 3K Β· πŸ’€) - Neural network visualization toolkit for keras. MIT - CausalNex (πŸ₯‰24 Β· ⭐ 2.3K Β· πŸ’€) - A Python library that helps data scientists to infer.. Apache-2 - What-If Tool (πŸ₯‰23 Β· ⭐ 950 Β· πŸ’€) - Source code/webpage/demos for the What-If Tool. Apache-2 - TreeInterpreter (πŸ₯‰23 Β· ⭐ 760 Β· πŸ’€) - Package for interpreting scikit-learns decision tree.. BSD-3 - tf-explain (πŸ₯‰22 Β· ⭐ 1K Β· πŸ’€) - Interpretability Methods for tf.keras models with Tensorflow.. MIT - deeplift (πŸ₯‰21 Β· ⭐ 860 Β· πŸ’€) - Public facing deeplift repo. MIT - tcav (πŸ₯‰20 Β· ⭐ 640 Β· πŸ’€) - Code for the TCAV ML interpretability project. Apache-2 - Quantus (πŸ₯‰20 Β· ⭐ 600) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. ❗️GPL-3.0 - XAI (πŸ₯‰19 Β· ⭐ 1.2K Β· πŸ’€) - XAI - An eXplainability toolbox for machine learning. MIT - model-card-toolkit (πŸ₯‰18 Β· ⭐ 430 Β· πŸ’€) - A toolkit that streamlines and automates the.. Apache-2 - sklearn-evaluation (πŸ₯‰17 Β· ⭐ 460 Β· πŸ’€) - Machine learning model evaluation made easy: plots,.. MIT - Skater (πŸ₯‰15 Β· ⭐ 1.1K) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0 - Anchor (πŸ₯‰15 Β· ⭐ 800 Β· πŸ’€) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 - FlashTorch (πŸ₯‰15 Β· ⭐ 740 Β· πŸ’€) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT - effector (πŸ₯‰15 Β· ⭐ 110) - Effector - a Python package for global and regional effect methods. MIT - interpret-text (πŸ₯‰14 Β· ⭐ 430 Β· πŸ’€) - A library that incorporates state-of-the-art explainers.. MIT - Attribution Priors (πŸ₯‰12 Β· ⭐ 120 Β· πŸ’€) - Tools for training explainable models using.. MIT - contextual-ai (πŸ₯‰12 Β· ⭐ 87 Β· πŸ’€) - Contextual AI adds explainability to different stages of.. Apache-2 - bias-detector (πŸ₯‰12 Β· ⭐ 43 Β· πŸ’€) - Bias Detector is a python package for detecting bias in machine.. MIT


Vector Similarity Search (ANN)

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Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarity Search.

πŸ”— ANN Benchmarks ( ⭐ 5.3K) - Benchmarks of approximate nearest neighbor libraries in Python.

Milvus (πŸ₯‡42 Β· ⭐ 35K) - Milvus is a high-performance, cloud-native vector database built for.. Apache-2 - [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 3.2K Β· πŸ“₯ 360K Β· πŸ“‹ 14K - 5% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/milvus-io/milvus
- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 1.9M / month Β· πŸ“¦ 270 Β· ⏱️ 23.05.2025): 
pip install pymilvus
- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 69M Β· ⭐ 81 Β· ⏱️ 29.05.2025): 
docker pull milvusdb/milvus
Faiss (πŸ₯‡41 Β· ⭐ 35K) - A library for efficient similarity search and clustering of dense vectors. MIT - [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 3.8K Β· πŸ“¦ 4.9K Β· πŸ“‹ 2.7K - 9% open Β· ⏱️ 28.05.2025): 
git clone https://github.com/facebookresearch/faiss
- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 1.9M / month Β· πŸ“¦ 270 Β· ⏱️ 23.05.2025): 
pip install pymilvus
- [Conda](https://anaconda.org/conda-forge/faiss) (πŸ“₯ 2.6M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge faiss
Annoy (πŸ₯ˆ35 Β· ⭐ 14K Β· πŸ’€) - Approximate Nearest Neighbors in C++/Python optimized for memory.. Apache-2 - [GitHub](https://github.com/spotify/annoy) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 1.2K Β· πŸ“¦ 5.2K Β· πŸ“‹ 410 - 15% open Β· ⏱️ 29.07.2024): 
git clone https://github.com/spotify/annoy
- [PyPi](https://pypi.org/project/annoy) (πŸ“₯ 720K / month Β· πŸ“¦ 200 Β· ⏱️ 14.06.2023): 
pip install annoy
- [Conda](https://anaconda.org/conda-forge/python-annoy) (πŸ“₯ 690K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge python-annoy
hnswlib (πŸ₯ˆ31 Β· ⭐ 4.7K Β· πŸ’€) - Header-only C++/python library for fast approximate nearest.. Apache-2 - [GitHub](https://github.com/nmslib/hnswlib) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 710 Β· πŸ“¦ 8.2K Β· πŸ“‹ 420 - 60% open Β· ⏱️ 17.06.2024): 
git clone https://github.com/nmslib/hnswlib
- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 440K / month Β· πŸ“¦ 180 Β· ⏱️ 03.12.2023): 
pip install hnswlib
- [Conda](https://anaconda.org/conda-forge/hnswlib) (πŸ“₯ 360K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge hnswlib
NMSLIB (πŸ₯ˆ31 Β· ⭐ 3.5K Β· πŸ’€) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2 - [GitHub](https://github.com/nmslib/nmslib) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 460 Β· πŸ“¦ 1.4K Β· πŸ“‹ 440 - 21% open Β· ⏱️ 21.09.2024): 
git clone https://github.com/nmslib/nmslib
- [PyPi](https://pypi.org/project/nmslib) (πŸ“₯ 400K / month Β· πŸ“¦ 63 Β· ⏱️ 03.02.2021): 
pip install nmslib
- [Conda](https://anaconda.org/conda-forge/nmslib) (πŸ“₯ 210K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge nmslib
USearch (πŸ₯ˆ31 Β· ⭐ 2.7K) - Fast Open-Source Search & Clustering engine for Vectors & Arbitrary.. Apache-2 - [GitHub](https://github.com/unum-cloud/usearch) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 180 Β· πŸ“₯ 71K Β· πŸ“¦ 190 Β· πŸ“‹ 210 - 42% open Β· ⏱️ 16.04.2025): 
git clone https://github.com/unum-cloud/usearch
- [PyPi](https://pypi.org/project/usearch) (πŸ“₯ 130K / month Β· πŸ“¦ 35 Β· ⏱️ 16.04.2025): 
pip install usearch
- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 6.4K / month Β· πŸ“¦ 15 Β· ⏱️ 23.01.2025): 
npm install usearch
- [Docker Hub](https://hub.docker.com/r/unum/usearch) (πŸ“₯ 200 Β· ⭐ 1 Β· ⏱️ 16.04.2025): 
docker pull unum/usearch
PyNNDescent (πŸ₯‰28 Β· ⭐ 920) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2 - [GitHub](https://github.com/lmcinnes/pynndescent) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 110 Β· πŸ“¦ 12K Β· πŸ“‹ 140 - 52% open Β· ⏱️ 10.11.2024): 
git clone https://github.com/lmcinnes/pynndescent
- [PyPi](https://pypi.org/project/pynndescent) (πŸ“₯ 1.6M / month Β· πŸ“¦ 160 Β· ⏱️ 17.06.2024): 
pip install pynndescent
- [Conda](https://anaconda.org/conda-forge/pynndescent) (πŸ“₯ 2.3M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pynndescent
NGT (πŸ₯‰23 Β· ⭐ 1.3K) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2 - [GitHub](https://github.com/yahoojapan/NGT) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 120 Β· πŸ“‹ 150 - 17% open Β· ⏱️ 27.05.2025): 
git clone https://github.com/yahoojapan/NGT
- [PyPi](https://pypi.org/project/ngt) (πŸ“₯ 2.1K / month Β· πŸ“¦ 12 Β· ⏱️ 26.02.2025): 
pip install ngt
Show 4 hidden projects... - NearPy (πŸ₯‰21 Β· ⭐ 770 Β· πŸ’€) - Python framework for fast (approximated) nearest neighbour search in.. MIT - N2 (πŸ₯‰21 Β· ⭐ 580 Β· πŸ’€) - TOROS N2 - lightweight approximate Nearest Neighbor library which runs.. Apache-2 - Magnitude (πŸ₯‰19 Β· ⭐ 1.6K Β· πŸ’€) - A fast, efficient universal vector embedding utility package. MIT - PySparNN (πŸ₯‰11 Β· ⭐ 920 Β· πŸ’€) - Approximate Nearest Neighbor Search for Sparse Data in Python!. BSD-3


Probabilistics & Statistics

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Libraries providing capabilities for probabilistic programming/reasoning, bayesian inference, gaussian processes, or statistics.

PyMC3 (πŸ₯‡41 Β· ⭐ 9K) - Bayesian Modeling and Probabilistic Programming in Python. Apache-2 - [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 520 Β· πŸ”€ 2.1K Β· πŸ“₯ 240 Β· πŸ“¦ 7.3K Β· πŸ“‹ 3.5K - 10% open Β· ⏱️ 28.05.2025): 
git clone https://github.com/pymc-devs/pymc
- [PyPi](https://pypi.org/project/pymc3) (πŸ“₯ 270K / month Β· πŸ“¦ 190 Β· ⏱️ 31.05.2024): 
pip install pymc3
- [Conda](https://anaconda.org/conda-forge/pymc3) (πŸ“₯ 670K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pymc3
tensorflow-probability (πŸ₯‡36 Β· ⭐ 4.3K) - Probabilistic reasoning and statistical analysis in.. Apache-2 - [GitHub](https://github.com/tensorflow/probability) (πŸ‘¨β€πŸ’» 500 Β· πŸ”€ 1.1K Β· πŸ“¦ 4 Β· πŸ“‹ 1.5K - 48% open Β· ⏱️ 23.05.2025): 
git clone https://github.com/tensorflow/probability
- [PyPi](https://pypi.org/project/tensorflow-probability) (πŸ“₯ 870K / month Β· πŸ“¦ 620 Β· ⏱️ 08.11.2024): 
pip install tensorflow-probability
- [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (πŸ“₯ 180K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge tensorflow-probability
pgmpy (πŸ₯‡35 Β· ⭐ 3K) - Python Library for Causal and Probabilistic Modeling using Bayesian Networks. MIT - [GitHub](https://github.com/pgmpy/pgmpy) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 800 Β· πŸ“₯ 620 Β· πŸ“¦ 1.6K Β· πŸ“‹ 1K - 28% open Β· ⏱️ 27.05.2025): 
git clone https://github.com/pgmpy/pgmpy
- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 200K / month Β· πŸ“¦ 72 Β· ⏱️ 31.03.2025): 
pip install pgmpy
Pyro (πŸ₯ˆ34 Β· ⭐ 8.8K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2 - [GitHub](https://github.com/pyro-ppl/pyro) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 990 Β· πŸ“‹ 1.1K - 23% open Β· ⏱️ 24.04.2025): 
git clone https://github.com/pyro-ppl/pyro
- [PyPi](https://pypi.org/project/pyro-ppl) (πŸ“₯ 500K / month Β· πŸ“¦ 190 Β· ⏱️ 02.06.2024): 
pip install pyro-ppl
- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (πŸ“₯ 240K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pyro-ppl
patsy (πŸ₯ˆ32 Β· ⭐ 970) - Describing statistical models in Python using symbolic formulas. BSD-2 - [GitHub](https://github.com/pydata/patsy) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 100 Β· πŸ“¦ 130K Β· πŸ“‹ 160 - 46% open Β· ⏱️ 24.02.2025): 
git clone https://github.com/pydata/patsy
- [PyPi](https://pypi.org/project/patsy) (πŸ“₯ 16M / month Β· πŸ“¦ 530 Β· ⏱️ 12.11.2024): 
pip install patsy
- [Conda](https://anaconda.org/conda-forge/patsy) (πŸ“₯ 16M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge patsy
GPyTorch (πŸ₯ˆ31 Β· ⭐ 3.7K) - A highly efficient implementation of Gaussian Processes in PyTorch. MIT - [GitHub](https://github.com/cornellius-gp/gpytorch) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 560 Β· πŸ“¦ 2.9K Β· πŸ“‹ 1.4K - 27% open Β· ⏱️ 07.02.2025): 
git clone https://github.com/cornellius-gp/gpytorch
- [PyPi](https://pypi.org/project/gpytorch) (πŸ“₯ 400K / month Β· πŸ“¦ 190 Β· ⏱️ 29.01.2025): 
pip install gpytorch
- [Conda](https://anaconda.org/conda-forge/gpytorch) (πŸ“₯ 210K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge gpytorch
hmmlearn (πŸ₯ˆ30 Β· ⭐ 3.2K Β· πŸ’€) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3 - [GitHub](https://github.com/hmmlearn/hmmlearn) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 740 Β· πŸ“¦ 3.5K Β· πŸ“‹ 450 - 15% open Β· ⏱️ 31.10.2024): 
git clone https://github.com/hmmlearn/hmmlearn
- [PyPi](https://pypi.org/project/hmmlearn) (πŸ“₯ 150K / month Β· πŸ“¦ 92 Β· ⏱️ 31.10.2024): 
pip install hmmlearn
- [Conda](https://anaconda.org/conda-forge/hmmlearn) (πŸ“₯ 380K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge hmmlearn
GPflow (πŸ₯ˆ30 Β· ⭐ 1.9K) - Gaussian processes in TensorFlow. Apache-2 - [GitHub](https://github.com/GPflow/GPflow) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 430 Β· πŸ“¦ 770 Β· πŸ“‹ 840 - 19% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/GPflow/GPflow
- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 62K / month Β· πŸ“¦ 43 Β· ⏱️ 29.05.2025): 
pip install gpflow
- [Conda](https://anaconda.org/conda-forge/gpflow) (πŸ“₯ 46K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge gpflow
emcee (πŸ₯‰29 Β· ⭐ 1.5K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT - [GitHub](https://github.com/dfm/emcee) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 430 Β· πŸ“¦ 3K Β· πŸ“‹ 300 - 19% open Β· ⏱️ 16.03.2025): 
git clone https://github.com/dfm/emcee
- [PyPi](https://pypi.org/project/emcee) (πŸ“₯ 150K / month Β· πŸ“¦ 440 Β· ⏱️ 19.04.2024): 
pip install emcee
- [Conda](https://anaconda.org/conda-forge/emcee) (πŸ“₯ 410K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge emcee
pomegranate (πŸ₯‰28 Β· ⭐ 3.4K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT - [GitHub](https://github.com/jmschrei/pomegranate) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 590 Β· πŸ“‹ 800 - 4% open Β· ⏱️ 07.02.2025): 
git clone https://github.com/jmschrei/pomegranate
- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 24K / month Β· πŸ“¦ 67 Β· ⏱️ 07.02.2025): 
pip install pomegranate
- [Conda](https://anaconda.org/conda-forge/pomegranate) (πŸ“₯ 210K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pomegranate
bambi (πŸ₯‰28 Β· ⭐ 1.2K) - BAyesian Model-Building Interface (Bambi) in Python. MIT - [GitHub](https://github.com/bambinos/bambi) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 130 Β· πŸ“¦ 210 Β· πŸ“‹ 440 - 20% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/bambinos/bambi
- [PyPi](https://pypi.org/project/bambi) (πŸ“₯ 32K / month Β· πŸ“¦ 14 Β· ⏱️ 21.12.2024): 
pip install bambi
- [Conda](https://anaconda.org/conda-forge/bambi) (πŸ“₯ 49K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge bambi
SALib (πŸ₯‰28 Β· ⭐ 920) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT - [GitHub](https://github.com/SALib/SALib) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 240 Β· πŸ“¦ 1.6K Β· πŸ“‹ 340 - 15% open Β· ⏱️ 18.04.2025): 
git clone https://github.com/SALib/SALib
- [PyPi](https://pypi.org/project/salib) (πŸ“₯ 240K / month Β· πŸ“¦ 130 Β· ⏱️ 19.08.2024): 
pip install salib
- [Conda](https://anaconda.org/conda-forge/salib) (πŸ“₯ 220K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge salib
PyStan (πŸ₯‰28 Β· ⭐ 350 Β· πŸ’€) - PyStan, a Python interface to Stan, a platform for statistical.. ISC - [GitHub](https://github.com/stan-dev/pystan) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 60 Β· πŸ“¦ 10K Β· πŸ“‹ 200 - 6% open Β· ⏱️ 03.07.2024): 
git clone https://github.com/stan-dev/pystan
- [PyPi](https://pypi.org/project/pystan) (πŸ“₯ 670K / month Β· πŸ“¦ 160 Β· ⏱️ 03.07.2024): 
pip install pystan
- [Conda](https://anaconda.org/conda-forge/pystan) (πŸ“₯ 3M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pystan
scikit-posthocs (πŸ₯‰27 Β· ⭐ 370) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT - [GitHub](https://github.com/maximtrp/scikit-posthocs) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 40 Β· πŸ“₯ 66 Β· πŸ“¦ 1.1K Β· πŸ“‹ 72 - 6% open Β· ⏱️ 16.04.2025): 
git clone https://github.com/maximtrp/scikit-posthocs
- [PyPi](https://pypi.org/project/scikit-posthocs) (πŸ“₯ 99K / month Β· πŸ“¦ 73 Β· ⏱️ 29.03.2025): 
pip install scikit-posthocs
- [Conda](https://anaconda.org/conda-forge/scikit-posthocs) (πŸ“₯ 1M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge scikit-posthocs
TorchUncertainty (πŸ₯‰23 Β· ⭐ 390) - Open-source framework for uncertainty and deep.. Apache-2 - [GitHub](https://github.com/ENSTA-U2IS-AI/torch-uncertainty) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 32 Β· πŸ“‹ 55 - 18% open Β· ⏱️ 23.05.2025): 
git clone https://github.com/ENSTA-U2IS-AI/torch-uncertainty
- [PyPi](https://pypi.org/project/torch-uncertainty) (πŸ“₯ 510 / month Β· πŸ“¦ 4 Β· ⏱️ 23.05.2025): 
pip install torch-uncertainty
pandas-ta (πŸ₯‰22 Β· ⭐ 5.5K) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT - [GitHub](https://github.com/twopirllc/pandas-ta) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 1.1K): 
git clone https://github.com/twopirllc/pandas-ta
- [PyPi](https://pypi.org/project/pandas-ta) (πŸ“₯ 210K / month Β· πŸ“¦ 140 Β· ⏱️ 28.07.2021): 
pip install pandas-ta
- [Conda](https://anaconda.org/conda-forge/pandas-ta) (πŸ“₯ 28K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pandas-ta
Baal (πŸ₯‰22 Β· ⭐ 900 Β· πŸ’€) - Bayesian active learning library for research and industrial usecases. Apache-2 - [GitHub](https://github.com/baal-org/baal) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 87 Β· πŸ“¦ 67 Β· πŸ“‹ 110 - 17% open Β· ⏱️ 27.06.2024): 
git clone https://github.com/baal-org/baal
- [PyPi](https://pypi.org/project/baal) (πŸ“₯ 910 / month Β· πŸ“¦ 2 Β· ⏱️ 11.06.2024): 
pip install baal
- [Conda](https://anaconda.org/conda-forge/baal) (πŸ“₯ 13K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge baal
Orbit (πŸ₯‰21 Β· ⭐ 2K Β· πŸ’€) - A Python package for Bayesian forecasting with object-oriented.. Apache-2 - [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 140 Β· πŸ“‹ 400 - 12% open Β· ⏱️ 10.07.2024): 
git clone https://github.com/uber/orbit
- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 23K / month Β· πŸ“¦ 1 Β· ⏱️ 01.04.2024): 
pip install orbit-ml
pyhsmm (πŸ₯‰20 Β· ⭐ 560) - Bayesian inference in HSMMs and HMMs. MIT - [GitHub](https://github.com/mattjj/pyhsmm) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 170 Β· πŸ“¦ 35 Β· πŸ“‹ 100 - 39% open Β· ⏱️ 25.01.2025): 
git clone https://github.com/mattjj/pyhsmm
- [PyPi](https://pypi.org/project/pyhsmm) (πŸ“₯ 130 / month Β· πŸ“¦ 1 Β· ⏱️ 10.05.2017): 
pip install pyhsmm
Show 5 hidden projects... - filterpy (πŸ₯ˆ32 Β· ⭐ 3.6K Β· πŸ’€) - Python Kalman filtering and optimal estimation library. Implements.. MIT - pingouin (πŸ₯ˆ30 Β· ⭐ 1.8K) - Statistical package in Python based on Pandas. ❗️GPL-3.0 - Edward (πŸ₯‰27 Β· ⭐ 4.8K Β· πŸ’€) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 - Funsor (πŸ₯‰20 Β· ⭐ 240 Β· πŸ’€) - Functional tensors for probabilistic programming. Apache-2 - ZhuSuan (πŸ₯‰15 Β· ⭐ 2.2K Β· πŸ’€) - A probabilistic programming library for Bayesian deep learning,.. MIT


Adversarial Robustness

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Libraries for testing the robustness of machine learning models against attacks with adversarial/malicious examples.

ART (πŸ₯‡34 Β· ⭐ 5.3K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT - [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.2K Β· πŸ“¦ 740 Β· πŸ“‹ 910 - 2% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox
- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (πŸ“₯ 28K / month Β· πŸ“¦ 20 Β· ⏱️ 22.01.2025): 
pip install adversarial-robustness-toolbox
- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (πŸ“₯ 73K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge adversarial-robustness-toolbox
TextAttack (πŸ₯ˆ28 Β· ⭐ 3.2K Β· πŸ’€) - TextAttack is a Python framework for adversarial attacks, data.. MIT - [GitHub](https://github.com/QData/TextAttack) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 400 Β· πŸ“¦ 410 Β· πŸ“‹ 290 - 23% open Β· ⏱️ 25.07.2024): 
git clone https://github.com/QData/TextAttack
- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 5.9K / month Β· πŸ“¦ 11 Β· ⏱️ 11.03.2024): 
pip install textattack
- [Conda](https://anaconda.org/conda-forge/textattack) (πŸ“₯ 10K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge textattack
Show 7 hidden projects... - CleverHans (πŸ₯ˆ30 Β· ⭐ 6.3K Β· πŸ’€) - An adversarial example library for constructing attacks,.. MIT - Foolbox (πŸ₯ˆ28 Β· ⭐ 2.9K Β· πŸ’€) - A Python toolbox to create adversarial examples that fool neural.. MIT - advertorch (πŸ₯‰23 Β· ⭐ 1.3K Β· πŸ’€) - A Toolbox for Adversarial Robustness Research. ❗️GPL-3.0 - robustness (πŸ₯‰20 Β· ⭐ 940 Β· πŸ’€) - A library for experimenting with, training and evaluating neural.. MIT - AdvBox (πŸ₯‰19 Β· ⭐ 1.4K Β· πŸ’€) - Advbox is a toolbox to generate adversarial examples that fool.. Apache-2 - textflint (πŸ₯‰16 Β· ⭐ 640 Β· πŸ’€) - Unified Multilingual Robustness Evaluation Toolkit for.. ❗️GPL-3.0 - Adversary (πŸ₯‰16 Β· ⭐ 400 Β· πŸ’€) - Tool to generate adversarial text examples and test machine.. MIT


GPU & Accelerator Utilities

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Libraries that require and make use of CUDA/GPU or other accelerator hardware capabilities to optimize machine learning tasks.

cuDF (πŸ₯‡35 Β· ⭐ 8.9K) - cuDF - GPU DataFrame Library. Apache-2 - [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 940 Β· πŸ“¦ 62 Β· πŸ“‹ 7K - 15% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/rapidsai/cudf
- [PyPi](https://pypi.org/project/cudf) (πŸ“₯ 3.2K / month Β· πŸ“¦ 22 Β· ⏱️ 01.06.2020): 
pip install cudf
optimum (πŸ₯‡35 Β· ⭐ 2.9K) - Accelerate inference and training of Transformers, Diffusers, TIMM.. Apache-2 - [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 540 Β· πŸ“¦ 5.7K Β· πŸ“‹ 890 - 40% open Β· ⏱️ 28.05.2025): 
git clone https://github.com/huggingface/optimum
- [PyPi](https://pypi.org/project/optimum) (πŸ“₯ 1.2M / month Β· πŸ“¦ 240 Β· ⏱️ 16.05.2025): 
pip install optimum
- [Conda](https://anaconda.org/conda-forge/optimum) (πŸ“₯ 40K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge optimum
Apex (πŸ₯ˆ32 Β· ⭐ 8.7K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3 - [GitHub](https://github.com/NVIDIA/apex) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.4K Β· πŸ“¦ 3.2K Β· πŸ“‹ 1.3K - 58% open Β· ⏱️ 15.05.2025): 
git clone https://github.com/NVIDIA/apex
- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (πŸ“₯ 500K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge nvidia-apex
cuML (πŸ₯ˆ32 Β· ⭐ 4.7K) - cuML - RAPIDS Machine Learning Library. Apache-2 - [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 570 Β· πŸ“‹ 2.8K - 35% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/rapidsai/cuml
- [PyPi](https://pypi.org/project/cuml) (πŸ“₯ 4.2K / month Β· πŸ“¦ 14 Β· ⏱️ 01.06.2020): 
pip install cuml
PyCUDA (πŸ₯ˆ32 Β· ⭐ 1.9K) - CUDA integration for Python, plus shiny features. MIT - [GitHub](https://github.com/inducer/pycuda) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 290 Β· πŸ“¦ 3.8K Β· πŸ“‹ 280 - 30% open Β· ⏱️ 06.05.2025): 
git clone https://github.com/inducer/pycuda
- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 160K / month Β· πŸ“¦ 170 Β· ⏱️ 07.02.2025): 
pip install pycuda
- [Conda](https://anaconda.org/conda-forge/pycuda) (πŸ“₯ 990K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pycuda
gpustat (πŸ₯ˆ29 Β· ⭐ 4.2K) - A simple command-line utility for querying and monitoring GPU status. MIT - [GitHub](https://github.com/wookayin/gpustat) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 280 Β· πŸ“¦ 7.5K Β· πŸ“‹ 130 - 22% open Β· ⏱️ 13.04.2025): 
git clone https://github.com/wookayin/gpustat
- [PyPi](https://pypi.org/project/gpustat) (πŸ“₯ 770K / month Β· πŸ“¦ 150 Β· ⏱️ 22.08.2023): 
pip install gpustat
- [Conda](https://anaconda.org/conda-forge/gpustat) (πŸ“₯ 310K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge gpustat
ArrayFire (πŸ₯ˆ28 Β· ⭐ 4.7K) - ArrayFire: a general purpose GPU library. BSD-3 - [GitHub](https://github.com/arrayfire/arrayfire) (πŸ‘¨β€πŸ’» 97 Β· πŸ”€ 540 Β· πŸ“₯ 8.4K Β· πŸ“‹ 1.8K - 19% open Β· ⏱️ 04.04.2025): 
git clone https://github.com/arrayfire/arrayfire
- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 3.5K / month Β· πŸ“¦ 10 Β· ⏱️ 22.02.2022): 
pip install arrayfire
cuGraph (πŸ₯ˆ28 Β· ⭐ 2K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 - [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 330 Β· πŸ“‹ 1.8K - 9% open Β· ⏱️ 28.05.2025): 
git clone https://github.com/rapidsai/cugraph
- [PyPi](https://pypi.org/project/cugraph) (πŸ“₯ 380 / month Β· πŸ“¦ 4 Β· ⏱️ 01.06.2020): 
pip install cugraph
- [Conda](https://anaconda.org/conda-forge/libcugraph) (πŸ“₯ 65K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge libcugraph
CuPy (πŸ₯‰27 Β· ⭐ 10K) - NumPy & SciPy for GPU. MIT - [GitHub](https://github.com/cupy/cupy) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 900): 
git clone https://github.com/cupy/cupy
- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 25K / month Β· πŸ“¦ 350 Β· ⏱️ 04.04.2025): 
pip install cupy
- [Conda](https://anaconda.org/conda-forge/cupy) (πŸ“₯ 6.4M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge cupy
- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (πŸ“₯ 84K Β· ⭐ 13 Β· ⏱️ 04.04.2025): 
docker pull cupy/cupy
DALI (πŸ₯‰25 Β· ⭐ 5.4K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2 - [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 640 Β· πŸ“‹ 1.7K - 14% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/NVIDIA/DALI
Vulkan Kompute (πŸ₯‰23 Β· ⭐ 2.2K) - General purpose GPU compute framework built on Vulkan to.. Apache-2 - [GitHub](https://github.com/KomputeProject/kompute) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 160 Β· πŸ“₯ 650 Β· πŸ“‹ 230 - 32% open Β· ⏱️ 25.05.2025): 
git clone https://github.com/KomputeProject/kompute
- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 260 / month Β· ⏱️ 20.01.2024): 
pip install kp
Merlin (πŸ₯‰20 Β· ⭐ 830 Β· πŸ’€) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2 - [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 120 Β· πŸ“‹ 460 - 46% open Β· ⏱️ 22.07.2024): 
git clone https://github.com/NVIDIA-Merlin/Merlin
- [PyPi](https://pypi.org/project/merlin-core) (πŸ“₯ 15K / month Β· πŸ“¦ 1 Β· ⏱️ 29.08.2023): 
pip install merlin-core
Show 8 hidden projects... - GPUtil (πŸ₯‰25 Β· ⭐ 1.2K Β· πŸ’€) - A Python module for getting the GPU status from NVIDA GPUs using.. MIT - scikit-cuda (πŸ₯‰24 Β· ⭐ 990 Β· πŸ’€) - Python interface to GPU-powered libraries. BSD-3 - py3nvml (πŸ₯‰23 Β· ⭐ 250 Β· πŸ’€) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside.. BSD-3 - BlazingSQL (πŸ₯‰21 Β· ⭐ 2K Β· πŸ’€) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. Apache-2 - nvidia-ml-py3 (πŸ₯‰19 Β· ⭐ 140 Β· πŸ’€) - Python 3 Bindings for the NVIDIA Management Library. BSD-3 - cuSignal (πŸ₯‰16 Β· ⭐ 720 Β· πŸ’€) - GPU accelerated signal processing. Apache-2 - SpeedTorch (πŸ₯‰15 Β· ⭐ 680 Β· πŸ’€) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT - ipyexperiments (πŸ₯‰15 Β· ⭐ 220 Β· πŸ’€) - Automatic GPU+CPU memory profiling, re-use and memory.. Apache-2


Tensorflow Utilities

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Libraries that extend TensorFlow with additional capabilities.

TensorFlow Datasets (πŸ₯‡38 Β· ⭐ 4.4K) - TFDS is a collection of datasets ready to use with.. Apache-2 - [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 530 Β· πŸ”€ 1.6K Β· πŸ“¦ 24K Β· πŸ“‹ 1.5K - 47% open Β· ⏱️ 28.05.2025): 
git clone https://github.com/tensorflow/datasets
- [PyPi](https://pypi.org/project/tensorflow-datasets) (πŸ“₯ 1.2M / month Β· πŸ“¦ 340 Β· ⏱️ 28.05.2025): 
pip install tensorflow-datasets
- [Conda](https://anaconda.org/conda-forge/tensorflow-datasets) (πŸ“₯ 47K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge tensorflow-datasets
tensorflow-hub (πŸ₯‡33 Β· ⭐ 3.5K) - A library for transfer learning by reusing parts of.. Apache-2 - [GitHub](https://github.com/tensorflow/hub) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.7K Β· πŸ“‹ 710 - 2% open Β· ⏱️ 17.01.2025): 
git clone https://github.com/tensorflow/hub
- [PyPi](https://pypi.org/project/tensorflow-hub) (πŸ“₯ 1.7M / month Β· πŸ“¦ 300 Β· ⏱️ 30.01.2024): 
pip install tensorflow-hub
- [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (πŸ“₯ 120K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge tensorflow-hub
TFX (πŸ₯ˆ32 Β· ⭐ 2.1K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2 - [GitHub](https://github.com/tensorflow/tfx) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 710 Β· πŸ“¦ 1.8K Β· πŸ“‹ 1.1K - 22% open Β· ⏱️ 26.03.2025): 
git clone https://github.com/tensorflow/tfx
- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 34K / month Β· πŸ“¦ 17 Β· ⏱️ 11.12.2024): 
pip install tfx
TensorFlow I/O (πŸ₯ˆ30 Β· ⭐ 730) - Dataset, streaming, and file system extensions.. Apache-2 - [GitHub](https://github.com/tensorflow/io) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 290 Β· πŸ“‹ 660 - 44% open Β· ⏱️ 10.04.2025): 
git clone https://github.com/tensorflow/io
- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 710K / month Β· πŸ“¦ 61 Β· ⏱️ 01.07.2024): 
pip install tensorflow-io
TF Model Optimization (πŸ₯‰28 Β· ⭐ 1.5K) - A toolkit to optimize ML models for deployment for.. Apache-2 - [GitHub](https://github.com/tensorflow/model-optimization) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 320 Β· πŸ“‹ 400 - 57% open Β· ⏱️ 10.02.2025): 
git clone https://github.com/tensorflow/model-optimization
- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 1.5M / month Β· πŸ“¦ 45 Β· ⏱️ 08.02.2024): 
pip install tensorflow-model-optimization
TensorFlow Transform (πŸ₯‰25 Β· ⭐ 990) - Input pipeline framework. Apache-2 - [GitHub](https://github.com/tensorflow/transform) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 220 Β· πŸ“‹ 220 - 17% open Β· ⏱️ 30.04.2025): 
git clone https://github.com/tensorflow/transform
- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 200K / month Β· πŸ“¦ 18 Β· ⏱️ 28.10.2024): 
pip install tensorflow-transform
Neural Structured Learning (πŸ₯‰24 Β· ⭐ 1K) - Training neural models with structured signals. Apache-2 - [GitHub](https://github.com/tensorflow/neural-structured-learning) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 190 Β· πŸ“¦ 510 Β· πŸ“‹ 69 - 1% open Β· ⏱️ 29.01.2025): 
git clone https://github.com/tensorflow/neural-structured-learning
- [PyPi](https://pypi.org/project/neural-structured-learning) (πŸ“₯ 5.2K / month Β· πŸ“¦ 3 Β· ⏱️ 29.07.2022): 
pip install neural-structured-learning
TensorFlow Cloud (πŸ₯‰21 Β· ⭐ 380) - The TensorFlow Cloud repository provides APIs that.. Apache-2 - [GitHub](https://github.com/tensorflow/cloud) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 90 Β· πŸ“‹ 100 - 73% open Β· ⏱️ 29.01.2025): 
git clone https://github.com/tensorflow/cloud
- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 27K / month Β· πŸ“¦ 7 Β· ⏱️ 17.06.2021): 
pip install tensorflow-cloud
TF Compression (πŸ₯‰20 Β· ⭐ 890) - Data compression in TensorFlow. Apache-2 - [GitHub](https://github.com/tensorflow/compression) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 250 Β· πŸ“‹ 100 - 10% open Β· ⏱️ 29.04.2025): 
git clone https://github.com/tensorflow/compression
- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 2.5K / month Β· πŸ“¦ 2 Β· ⏱️ 02.02.2024): 
pip install tensorflow-compression
Show 7 hidden projects... - tensor2tensor (πŸ₯ˆ32 Β· ⭐ 16K Β· πŸ’€) - Library of deep learning models and datasets designed.. Apache-2 - TF Addons (πŸ₯ˆ32 Β· ⭐ 1.7K Β· πŸ’€) - Useful extra functionality for TensorFlow 2.x maintained.. Apache-2 - Keras-Preprocessing (πŸ₯ˆ29 Β· ⭐ 1K Β· πŸ’€) - Utilities for working with image data, text data, and.. MIT - efficientnet (πŸ₯‰27 Β· ⭐ 2.1K Β· πŸ’€) - Implementation of EfficientNet model. Keras and.. Apache-2 - TensorNets (πŸ₯‰20 Β· ⭐ 1K Β· πŸ’€) - High level network definitions with pre-trained weights in.. MIT - Saliency (πŸ₯‰20 Β· ⭐ 970 Β· πŸ’€) - Framework-agnostic implementation for state-of-the-art.. Apache-2 - tffm (πŸ₯‰18 Β· ⭐ 780 Β· πŸ’€) - TensorFlow implementation of an arbitrary order Factorization Machine. MIT


Jax Utilities

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Libraries that extend Jax with additional capabilities.

equinox (πŸ₯‡31 Β· ⭐ 2.4K) - Elegant easy-to-use neural networks + scientific computing in.. Apache-2 - [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 160 Β· πŸ“¦ 1.3K Β· πŸ“‹ 560 - 34% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/patrick-kidger/equinox
- [PyPi](https://pypi.org/project/equinox) (πŸ“₯ 300K / month Β· πŸ“¦ 250 Β· ⏱️ 14.05.2025): 
pip install equinox
evojax (πŸ₯‰20 Β· ⭐ 900 Β· πŸ’€) - EvoJAX: Hardware-accelerated Neuroevolution. Apache-2 - [GitHub](https://github.com/google/evojax) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 100 Β· πŸ“¦ 31 Β· πŸ“‹ 37 - 54% open Β· ⏱️ 27.06.2024): 
git clone https://github.com/google/evojax
- [PyPi](https://pypi.org/project/evojax) (πŸ“₯ 780 / month Β· πŸ“¦ 6 Β· ⏱️ 18.06.2024): 
pip install evojax
- [Conda](https://anaconda.org/conda-forge/evojax) (πŸ“₯ 39K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge evojax
Show 1 hidden projects... - jaxdf (πŸ₯‰12 Β· ⭐ 130 Β· πŸ’€) - A JAX-based research framework for writing differentiable.. ❗️LGPL-3.0


Sklearn Utilities

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Libraries that extend scikit-learn with additional capabilities.

MLxtend (πŸ₯‡35 Β· ⭐ 5K) - A library of extension and helper modules for Pythons data analysis.. BSD-3 - [GitHub](https://github.com/rasbt/mlxtend) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 880 Β· πŸ“¦ 20K Β· πŸ“‹ 500 - 29% open Β· ⏱️ 26.01.2025): 
git clone https://github.com/rasbt/mlxtend
- [PyPi](https://pypi.org/project/mlxtend) (πŸ“₯ 730K / month Β· πŸ“¦ 200 Β· ⏱️ 26.01.2025): 
pip install mlxtend
- [Conda](https://anaconda.org/conda-forge/mlxtend) (πŸ“₯ 360K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge mlxtend
scikit-learn-intelex (πŸ₯‡35 Β· ⭐ 1.3K) - Extension for Scikit-learn is a seamless way to speed.. Apache-2 - [GitHub](https://github.com/uxlfoundation/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 180 Β· πŸ“¦ 14K Β· πŸ“‹ 250 - 19% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/intel/scikit-learn-intelex
- [PyPi](https://pypi.org/project/scikit-learn-intelex) (πŸ“₯ 95K / month Β· πŸ“¦ 65 Β· ⏱️ 22.04.2025): 
pip install scikit-learn-intelex
- [Conda](https://anaconda.org/conda-forge/scikit-learn-intelex) (πŸ“₯ 550K Β· ⏱️ 05.05.2025): 
conda install -c conda-forge scikit-learn-intelex
imbalanced-learn (πŸ₯ˆ33 Β· ⭐ 7K) - A Python Package to Tackle the Curse of Imbalanced.. MIT - [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 1.3K Β· πŸ“‹ 620 - 7% open Β· ⏱️ 11.05.2025): 
git clone https://github.com/scikit-learn-contrib/imbalanced-learn
- [PyPi](https://pypi.org/project/imbalanced-learn) (πŸ“₯ 15M / month Β· πŸ“¦ 480 Β· ⏱️ 20.12.2024): 
pip install imbalanced-learn
- [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (πŸ“₯ 700K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge imbalanced-learn
category_encoders (πŸ₯ˆ33 Β· ⭐ 2.4K) - A library of sklearn compatible categorical variable.. BSD-3 - [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 400 Β· πŸ“¦ 3.9K Β· πŸ“‹ 300 - 14% open Β· ⏱️ 24.03.2025): 
git clone https://github.com/scikit-learn-contrib/category_encoders
- [PyPi](https://pypi.org/project/category_encoders) (πŸ“₯ 1.9M / month Β· πŸ“¦ 310 Β· ⏱️ 15.03.2025): 
pip install category_encoders
- [Conda](https://anaconda.org/conda-forge/category_encoders) (πŸ“₯ 320K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge category_encoders
scikit-lego (πŸ₯ˆ27 Β· ⭐ 1.3K) - Extra blocks for scikit-learn pipelines. MIT - [GitHub](https://github.com/koaning/scikit-lego) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 120 Β· πŸ“¦ 180 Β· πŸ“‹ 340 - 10% open Β· ⏱️ 30.04.2025): 
git clone https://github.com/koaning/scikit-lego
- [PyPi](https://pypi.org/project/scikit-lego) (πŸ“₯ 31K / month Β· πŸ“¦ 13 Β· ⏱️ 30.04.2025): 
pip install scikit-lego
- [Conda](https://anaconda.org/conda-forge/scikit-lego) (πŸ“₯ 68K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge scikit-lego
scikit-opt (πŸ₯‰25 Β· ⭐ 5.5K Β· πŸ’€) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT - [GitHub](https://github.com/guofei9987/scikit-opt) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 990 Β· πŸ“¦ 270 Β· πŸ“‹ 180 - 37% open Β· ⏱️ 23.06.2024): 
git clone https://github.com/guofei9987/scikit-opt
- [PyPi](https://pypi.org/project/scikit-opt) (πŸ“₯ 6.9K / month Β· πŸ“¦ 15 Β· ⏱️ 14.01.2022): 
pip install scikit-opt
iterative-stratification (πŸ₯‰21 Β· ⭐ 870 Β· πŸ’€) - scikit-learn cross validators for iterative.. BSD-3 - [GitHub](https://github.com/trent-b/iterative-stratification) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 75 Β· πŸ“¦ 600 Β· πŸ“‹ 27 - 7% open Β· ⏱️ 12.10.2024): 
git clone https://github.com/trent-b/iterative-stratification
- [PyPi](https://pypi.org/project/iterative-stratification) (πŸ“₯ 52K / month Β· πŸ“¦ 15 Β· ⏱️ 12.10.2024): 
pip install iterative-stratification
dabl (πŸ₯‰19 Β· ⭐ 730 Β· πŸ’€) - Data Analysis Baseline Library. BSD-3 - [GitHub](https://github.com/amueller/dabl) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 100 Β· ⏱️ 07.08.2024): 
git clone https://github.com/amueller/dabl
- [PyPi](https://pypi.org/project/dabl) (πŸ“₯ 4.7K / month Β· πŸ“¦ 3 Β· ⏱️ 16.12.2024): 
pip install dabl
scikit-tda (πŸ₯‰18 Β· ⭐ 550 Β· πŸ’€) - Topological Data Analysis for Python. MIT - [GitHub](https://github.com/scikit-tda/scikit-tda) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 54 Β· πŸ“¦ 89 Β· πŸ“‹ 22 - 18% open Β· ⏱️ 19.07.2024): 
git clone https://github.com/scikit-tda/scikit-tda
- [PyPi](https://pypi.org/project/scikit-tda) (πŸ“₯ 1.5K / month Β· ⏱️ 19.07.2024): 
pip install scikit-tda
Show 10 hidden projects... - scikit-survival (πŸ₯ˆ32 Β· ⭐ 1.2K) - Survival analysis built on top of scikit-learn. ❗️GPL-3.0 - fancyimpute (πŸ₯ˆ27 Β· ⭐ 1.3K Β· πŸ’€) - Multivariate imputation and matrix completion.. Apache-2 - scikit-multilearn (πŸ₯ˆ27 Β· ⭐ 940 Β· πŸ’€) - A scikit-learn based module for multi-label et. al... BSD-2 - sklearn-crfsuite (πŸ₯ˆ27 Β· ⭐ 430 Β· πŸ’€) - scikit-learn inspired API for CRFsuite. MIT - sklearn-contrib-lightning (πŸ₯‰22 Β· ⭐ 1.7K Β· πŸ’€) - Large-scale linear classification, regression and.. BSD-3 - skope-rules (πŸ₯‰22 Β· ⭐ 640 Β· πŸ’€) - machine learning with logical rules in Python. ❗️BSD-1-Clause - celer (πŸ₯‰22 Β· ⭐ 230) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,.. BSD-3 - combo (πŸ₯‰21 Β· ⭐ 660 Β· πŸ’€) - (AAAI 20) A Python Toolbox for Machine Learning Model.. BSD-2 xgboost - DESlib (πŸ₯‰18 Β· ⭐ 490 Β· πŸ’€) - A Python library for dynamic classifier and ensemble selection. BSD-3 - skggm (πŸ₯‰17 Β· ⭐ 250 Β· πŸ’€) - Scikit-learn compatible estimation of general graphical models. MIT


Pytorch Utilities

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Libraries that extend Pytorch with additional capabilities.

accelerate (πŸ₯‡43 Β· ⭐ 8.8K) - A simple way to launch, train, and use PyTorch models on.. Apache-2 - [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 350 Β· πŸ”€ 1.1K Β· πŸ“¦ 97K Β· πŸ“‹ 1.8K - 5% open Β· ⏱️ 27.05.2025): 
git clone https://github.com/huggingface/accelerate
- [PyPi](https://pypi.org/project/accelerate) (πŸ“₯ 12M / month Β· πŸ“¦ 2.2K Β· ⏱️ 15.05.2025): 
pip install accelerate
- [Conda](https://anaconda.org/conda-forge/accelerate) (πŸ“₯ 410K Β· ⏱️ 15.05.2025): 
conda install -c conda-forge accelerate
tinygrad (πŸ₯‡35 Β· ⭐ 29K) - You like pytorch? You like micrograd? You love tinygrad!. MIT - [GitHub](https://github.com/tinygrad/tinygrad) (πŸ‘¨β€πŸ’» 400 Β· πŸ”€ 3.4K Β· πŸ“¦ 220 Β· πŸ“‹ 920 - 14% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/geohot/tinygrad
PML (πŸ₯‡33 Β· ⭐ 6.2K) - The easiest way to use deep metric learning in your application. Modular,.. MIT - [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 660 Β· πŸ“¦ 2.8K Β· πŸ“‹ 530 - 14% open Β· ⏱️ 11.12.2024): 
git clone https://github.com/KevinMusgrave/pytorch-metric-learning
- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 870K / month Β· πŸ“¦ 55 Β· ⏱️ 11.12.2024): 
pip install pytorch-metric-learning
- [Conda](https://anaconda.org/metric-learning/pytorch-metric-learning) (πŸ“₯ 13K Β· ⏱️ 25.03.2025): 
conda install -c metric-learning pytorch-metric-learning
torchdiffeq (πŸ₯‡32 Β· ⭐ 6K) - Differentiable ODE solvers with full GPU support and O(1)-memory.. MIT - [GitHub](https://github.com/rtqichen/torchdiffeq) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 930 Β· πŸ“¦ 5.3K Β· πŸ“‹ 220 - 33% open Β· ⏱️ 04.04.2025): 
git clone https://github.com/rtqichen/torchdiffeq
- [PyPi](https://pypi.org/project/torchdiffeq) (πŸ“₯ 1.2M / month Β· πŸ“¦ 120 Β· ⏱️ 21.11.2024): 
pip install torchdiffeq
- [Conda](https://anaconda.org/conda-forge/torchdiffeq) (πŸ“₯ 22K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge torchdiffeq
torchsde (πŸ₯ˆ30 Β· ⭐ 1.6K) - Differentiable SDE solvers with GPU support and efficient.. Apache-2 - [GitHub](https://github.com/google-research/torchsde) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 210 Β· πŸ“¦ 5.2K Β· πŸ“‹ 82 - 35% open Β· ⏱️ 30.12.2024): 
git clone https://github.com/google-research/torchsde
- [PyPi](https://pypi.org/project/torchsde) (πŸ“₯ 2.7M / month Β· πŸ“¦ 37 Β· ⏱️ 26.09.2023): 
pip install torchsde
- [Conda](https://anaconda.org/conda-forge/torchsde) (πŸ“₯ 40K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge torchsde
torch-scatter (πŸ₯ˆ27 Β· ⭐ 1.6K) - PyTorch Extension Library of Optimized Scatter Operations. MIT - [GitHub](https://github.com/rusty1s/pytorch_scatter) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 190 Β· πŸ“‹ 410 - 6% open Β· ⏱️ 20.04.2025): 
git clone https://github.com/rusty1s/pytorch_scatter
- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 50K / month Β· πŸ“¦ 150 Β· ⏱️ 06.10.2023): 
pip install torch-scatter
- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (πŸ“₯ 860K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pytorch_scatter
EfficientNets (πŸ₯ˆ25 Β· ⭐ 1.6K Β· πŸ’€) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2 - [GitHub](https://github.com/rwightman/gen-efficientnet-pytorch) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 210 Β· πŸ“¦ 300 Β· πŸ“‹ 55 - 7% open Β· ⏱️ 13.06.2024): 
git clone https://github.com/rwightman/gen-efficientnet-pytorch
- [PyPi](https://pypi.org/project/geffnet) (πŸ“₯ 200K / month Β· πŸ“¦ 4 Β· ⏱️ 08.07.2021): 
pip install geffnet
PyTorch Sparse (πŸ₯ˆ25 Β· ⭐ 1.1K) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT - [GitHub](https://github.com/rusty1s/pytorch_sparse) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 160 Β· πŸ“‹ 300 - 10% open Β· ⏱️ 10.04.2025): 
git clone https://github.com/rusty1s/pytorch_sparse
- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“₯ 34K / month Β· πŸ“¦ 120 Β· ⏱️ 06.10.2023): 
pip install torch-sparse
- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (πŸ“₯ 810K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pytorch_sparse
Pytorch Toolbelt (πŸ₯‰24 Β· ⭐ 1.5K) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT - [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 120 Β· πŸ“₯ 160 Β· πŸ“‹ 33 - 12% open Β· ⏱️ 01.03.2025): 
git clone https://github.com/BloodAxe/pytorch-toolbelt
- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 15K / month Β· πŸ“¦ 12 Β· ⏱️ 21.11.2024): 
pip install pytorch_toolbelt
madgrad (πŸ₯‰17 Β· ⭐ 800) - MADGRAD Optimization Method. MIT - [GitHub](https://github.com/facebookresearch/madgrad) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 57 Β· πŸ“¦ 100 Β· ⏱️ 27.01.2025): 
git clone https://github.com/facebookresearch/madgrad
- [PyPi](https://pypi.org/project/madgrad) (πŸ“₯ 3K / month Β· πŸ“¦ 1 Β· ⏱️ 08.03.2022): 
pip install madgrad
pytorchviz (πŸ₯‰14 Β· ⭐ 3.4K) - A small package to create visualizations of PyTorch execution graphs. MIT - [GitHub](https://github.com/szagoruyko/pytorchviz) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 280 Β· πŸ“‹ 72 - 47% open Β· ⏱️ 30.12.2024): 
git clone https://github.com/szagoruyko/pytorchviz
Show 21 hidden projects... - pretrainedmodels (πŸ₯ˆ30 Β· ⭐ 9.1K Β· πŸ’€) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 - EfficientNet-PyTorch (πŸ₯ˆ28 Β· ⭐ 8.1K Β· πŸ’€) - A PyTorch implementation of EfficientNet. Apache-2 - lightning-flash (πŸ₯ˆ28 Β· ⭐ 1.7K Β· πŸ’€) - Your PyTorch AI Factory - Flash enables you to easily.. Apache-2 - pytorch-optimizer (πŸ₯ˆ27 Β· ⭐ 3.1K Β· πŸ’€) - torch-optimizer -- collection of optimizers for.. Apache-2 - TabNet (πŸ₯ˆ26 Β· ⭐ 2.8K Β· πŸ’€) - PyTorch implementation of TabNet paper :.. MIT - pytorch-summary (πŸ₯‰24 Β· ⭐ 4K Β· πŸ’€) - Model summary in PyTorch similar to `model.summary()` in.. MIT - Torchmeta (πŸ₯‰24 Β· ⭐ 2K Β· πŸ’€) - A collection of extensions and data-loaders for few-shot.. MIT - Higher (πŸ₯‰24 Β· ⭐ 1.6K Β· πŸ’€) - higher is a pytorch library allowing users to obtain higher.. Apache-2 - micrograd (πŸ₯‰22 Β· ⭐ 12K Β· πŸ’€) - A tiny scalar-valued autograd engine and a neural net library.. MIT - SRU (πŸ₯‰22 Β· ⭐ 2.1K Β· πŸ’€) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). MIT - AdaBound (πŸ₯‰21 Β· ⭐ 2.9K Β· πŸ’€) - An optimizer that trains as fast as Adam and as good as SGD. Apache-2 - reformer-pytorch (πŸ₯‰21 Β· ⭐ 2.2K Β· πŸ’€) - Reformer, the efficient Transformer, in Pytorch. MIT - Antialiased CNNs (πŸ₯‰21 Β· ⭐ 1.7K Β· πŸ’€) - pip install antialiased-cnns to improve stability and.. ❗️CC BY-NC-SA 4.0 - Performer Pytorch (πŸ₯‰21 Β· ⭐ 1.1K Β· πŸ’€) - An implementation of Performer, a linear attention-.. MIT - Poutyne (πŸ₯‰21 Β· ⭐ 570) - A simplified framework and utilities for PyTorch. ❗️LGPL-3.0 - Lambda Networks (πŸ₯‰19 Β· ⭐ 1.5K Β· πŸ’€) - Implementation of LambdaNetworks, a new approach to.. MIT - Torch-Struct (πŸ₯‰19 Β· ⭐ 1.1K Β· πŸ’€) - Fast, general, and tested differentiable structured.. MIT - Tensor Sensor (πŸ₯‰18 Β· ⭐ 810 Β· πŸ’€) - The goal of this library is to generate more helpful.. MIT - Tez (πŸ₯‰17 Β· ⭐ 1.2K Β· πŸ’€) - Tez is a super-simple and lightweight Trainer for PyTorch. It.. Apache-2 - Pywick (πŸ₯‰17 Β· ⭐ 400 Β· πŸ’€) - High-level batteries-included neural network training library for.. MIT - TorchDrift (πŸ₯‰14 Β· ⭐ 320 Β· πŸ’€) - Drift Detection for your PyTorch Models. Apache-2


Database Clients

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Libraries for connecting to, operating, and querying databases.

πŸ”— best-of-python - DB Clients ( ⭐ 4K) - Collection of database clients for python.


Others

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scipy (πŸ₯‡50 Β· ⭐ 14K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3 - [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.8K Β· πŸ”€ 5.4K Β· πŸ“₯ 500K Β· πŸ“¦ 1.4M Β· πŸ“‹ 11K - 15% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/scipy/scipy
- [PyPi](https://pypi.org/project/scipy) (πŸ“₯ 150M / month Β· πŸ“¦ 55K Β· ⏱️ 21.05.2025): 
pip install scipy
- [Conda](https://anaconda.org/conda-forge/scipy) (πŸ“₯ 63M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge scipy
SymPy (πŸ₯‡50 Β· ⭐ 14K) - A computer algebra system written in pure Python. BSD-3 - [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 4.7K Β· πŸ“₯ 560K Β· πŸ“¦ 270K Β· πŸ“‹ 14K - 36% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/sympy/sympy
- [PyPi](https://pypi.org/project/sympy) (πŸ“₯ 56M / month Β· πŸ“¦ 4.3K Β· ⏱️ 27.04.2025): 
pip install sympy
- [Conda](https://anaconda.org/conda-forge/sympy) (πŸ“₯ 9M Β· ⏱️ 29.04.2025): 
conda install -c conda-forge sympy
Streamlit (πŸ₯‡46 Β· ⭐ 40K) - Streamlit A faster way to build and share data apps. Apache-2 - [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 3.5K Β· πŸ“¦ 960K Β· πŸ“‹ 5.3K - 22% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/streamlit/streamlit
- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 12M / month Β· πŸ“¦ 3.8K Β· ⏱️ 12.05.2025): 
pip install streamlit
Gradio (πŸ₯‡45 Β· ⭐ 38K) - Wrap UIs around any model, share with anyone. Apache-2 - [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 590 Β· πŸ”€ 2.9K Β· πŸ“¦ 78K Β· πŸ“‹ 5.7K - 8% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/gradio-app/gradio
- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 8.2M / month Β· πŸ“¦ 1.2K Β· ⏱️ 22.05.2025): 
pip install gradio
carla (πŸ₯‡37 Β· ⭐ 13K) - Open-source simulator for autonomous driving research. MIT - [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 3.9K Β· πŸ“¦ 1.1K Β· πŸ“‹ 5.9K - 18% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/carla-simulator/carla
- [PyPi](https://pypi.org/project/carla) (πŸ“₯ 40K / month Β· πŸ“¦ 11 Β· ⏱️ 14.11.2023): 
pip install carla
Autograd (πŸ₯‡37 Β· ⭐ 7.3K) - Efficiently computes derivatives of NumPy code. MIT - [GitHub](https://github.com/HIPS/autograd) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 910 Β· πŸ“¦ 14K Β· πŸ“‹ 440 - 42% open Β· ⏱️ 26.05.2025): 
git clone https://github.com/HIPS/autograd
- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 3.4M / month Β· πŸ“¦ 310 Β· ⏱️ 05.05.2025): 
pip install autograd
- [Conda](https://anaconda.org/conda-forge/autograd) (πŸ“₯ 550K Β· ⏱️ 05.05.2025): 
conda install -c conda-forge autograd
PennyLane (πŸ₯‡37 Β· ⭐ 2.7K) - PennyLane is a cross-platform Python library for quantum.. Apache-2 - [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 660 Β· πŸ“₯ 100 Β· πŸ“¦ 1.7K Β· πŸ“‹ 1.6K - 24% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/PennyLaneAI/PennyLane
- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 94K / month Β· πŸ“¦ 150 Β· ⏱️ 02.05.2025): 
pip install pennylane
- [Conda](https://anaconda.org/conda-forge/pennylane) (πŸ“₯ 270K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pennylane
PyOD (πŸ₯ˆ36 Β· ⭐ 9.2K) - A Python Library for Outlier and Anomaly Detection, Integrating Classical.. BSD-2 - [GitHub](https://github.com/yzhao062/pyod) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 1.4K Β· πŸ“¦ 5.3K Β· πŸ“‹ 380 - 60% open Β· ⏱️ 29.04.2025): 
git clone https://github.com/yzhao062/pyod
- [PyPi](https://pypi.org/project/pyod) (πŸ“₯ 680K / month Β· πŸ“¦ 130 Β· ⏱️ 29.04.2025): 
pip install pyod
- [Conda](https://anaconda.org/conda-forge/pyod) (πŸ“₯ 150K Β· ⏱️ 30.04.2025): 
conda install -c conda-forge pyod
agate (πŸ₯ˆ35 Β· ⭐ 1.2K) - A Python data analysis library that is optimized for humans instead of.. MIT - [GitHub](https://github.com/wireservice/agate) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 150 Β· πŸ“¦ 5K Β· πŸ“‹ 650 - 0% open Β· ⏱️ 27.02.2025): 
git clone https://github.com/wireservice/agate
- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 18M / month Β· πŸ“¦ 54 Β· ⏱️ 29.01.2025): 
pip install agate
- [Conda](https://anaconda.org/conda-forge/agate) (πŸ“₯ 330K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge agate
Datasette (πŸ₯ˆ34 Β· ⭐ 10K) - An open source multi-tool for exploring and publishing data. Apache-2 - [GitHub](https://github.com/simonw/datasette) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 740 Β· πŸ“₯ 74 Β· πŸ“¦ 1.5K Β· πŸ“‹ 1.9K - 32% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/simonw/datasette
- [PyPi](https://pypi.org/project/datasette) (πŸ“₯ 190K / month Β· πŸ“¦ 460 Β· ⏱️ 22.04.2025): 
pip install datasette
- [Conda](https://anaconda.org/conda-forge/datasette) (πŸ“₯ 63K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge datasette
DeepChem (πŸ₯ˆ34 Β· ⭐ 6K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT - [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 1.9K Β· πŸ“¦ 620 Β· πŸ“‹ 2K - 38% open Β· ⏱️ 21.05.2025): 
git clone https://github.com/deepchem/deepchem
- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 37K / month Β· πŸ“¦ 17 Β· ⏱️ 21.05.2025): 
pip install deepchem
- [Conda](https://anaconda.org/conda-forge/deepchem) (πŸ“₯ 120K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge deepchem
Pythran (πŸ₯ˆ34 Β· ⭐ 2.1K) - Ahead of Time compiler for numeric kernels. BSD-3 - [GitHub](https://github.com/serge-sans-paille/pythran) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 200 Β· πŸ“¦ 3.5K Β· πŸ“‹ 910 - 16% open Β· ⏱️ 10.05.2025): 
git clone https://github.com/serge-sans-paille/pythran
- [PyPi](https://pypi.org/project/pythran) (πŸ“₯ 310K / month Β· πŸ“¦ 28 Β· ⏱️ 23.05.2025): 
pip install pythran
- [Conda](https://anaconda.org/conda-forge/pythran) (πŸ“₯ 1.1M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pythran
hdbscan (πŸ₯ˆ32 Β· ⭐ 2.9K) - A high performance implementation of HDBSCAN clustering. BSD-3 - [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 500 Β· πŸ“¦ 7K Β· πŸ“‹ 530 - 67% open Β· ⏱️ 13.05.2025): 
git clone https://github.com/scikit-learn-contrib/hdbscan
- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 740K / month Β· πŸ“¦ 350 Β· ⏱️ 18.11.2024): 
pip install hdbscan
- [Conda](https://anaconda.org/conda-forge/hdbscan) (πŸ“₯ 2.5M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge hdbscan
tensorly (πŸ₯ˆ32 Β· ⭐ 1.6K) - TensorLy: Tensor Learning in Python. BSD-2 - [GitHub](https://github.com/tensorly/tensorly) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 290 Β· πŸ“¦ 1K Β· πŸ“‹ 280 - 23% open Β· ⏱️ 05.05.2025): 
git clone https://github.com/tensorly/tensorly
- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 75K / month Β· πŸ“¦ 99 Β· ⏱️ 12.11.2024): 
pip install tensorly
- [Conda](https://anaconda.org/conda-forge/tensorly) (πŸ“₯ 380K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge tensorly
pyjanitor (πŸ₯ˆ32 Β· ⭐ 1.4K) - Clean APIs for data cleaning. Python implementation of R package.. MIT - [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 170 Β· πŸ“¦ 950 Β· πŸ“‹ 580 - 19% open Β· ⏱️ 14.05.2025): 
git clone https://github.com/pyjanitor-devs/pyjanitor
- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 90K / month Β· πŸ“¦ 42 Β· ⏱️ 07.03.2025): 
pip install pyjanitor
- [Conda](https://anaconda.org/conda-forge/pyjanitor) (πŸ“₯ 270K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pyjanitor
PaddleHub (πŸ₯ˆ31 Β· ⭐ 13K Β· πŸ’€) - Awesome pre-trained models toolkit based on PaddlePaddle... Apache-2 - [GitHub](https://github.com/PaddlePaddle/PaddleHub) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 2.1K Β· πŸ“₯ 840 Β· πŸ“¦ 1.9K Β· πŸ“‹ 1.3K - 44% open Β· ⏱️ 07.08.2024): 
git clone https://github.com/PaddlePaddle/PaddleHub
- [PyPi](https://pypi.org/project/paddlehub) (πŸ“₯ 5.6K / month Β· πŸ“¦ 7 Β· ⏱️ 20.09.2023): 
pip install paddlehub
pyopencl (πŸ₯ˆ31 Β· ⭐ 1.1K) - OpenCL integration for Python, plus shiny features. MIT - [GitHub](https://github.com/inducer/pyopencl) (πŸ‘¨β€πŸ’» 98 Β· πŸ”€ 240 Β· πŸ“¦ 2.3K Β· πŸ“‹ 370 - 20% open Β· ⏱️ 27.05.2025): 
git clone https://github.com/inducer/pyopencl
- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 84K / month Β· πŸ“¦ 180 Β· ⏱️ 22.01.2025): 
pip install pyopencl
- [Conda](https://anaconda.org/conda-forge/pyopencl) (πŸ“₯ 1.8M Β· ⏱️ 22.04.2025): 
conda install -c conda-forge pyopencl
datalad (πŸ₯ˆ31 Β· ⭐ 580) - Keep code, data, containers under control with git and git-annex. MIT - [GitHub](https://github.com/datalad/datalad) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 110 Β· πŸ“¦ 520 Β· πŸ“‹ 4K - 13% open Β· ⏱️ 26.05.2025): 
git clone https://github.com/datalad/datalad
- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 21K / month Β· πŸ“¦ 100 Β· ⏱️ 21.05.2025): 
pip install datalad
- [Conda](https://anaconda.org/conda-forge/datalad) (πŸ“₯ 870K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge datalad
River (πŸ₯ˆ30 Β· ⭐ 5.4K) - Online machine learning in Python. BSD-3 - [GitHub](https://github.com/online-ml/river) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 570 Β· πŸ“¦ 750 Β· πŸ“‹ 620 - 19% open Β· ⏱️ 15.05.2025): 
git clone https://github.com/online-ml/river
- [PyPi](https://pypi.org/project/river) (πŸ“₯ 62K / month Β· πŸ“¦ 64 Β· ⏱️ 25.11.2024): 
pip install river
- [Conda](https://anaconda.org/conda-forge/river) (πŸ“₯ 110K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge river
anomalib (πŸ₯ˆ30 Β· ⭐ 4.4K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2 - [GitHub](https://github.com/open-edge-platform/anomalib) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 740 Β· πŸ“₯ 27K Β· πŸ“¦ 190 Β· πŸ“‹ 1K - 15% open Β· ⏱️ 22.05.2025): 
git clone https://github.com/openvinotoolkit/anomalib
- [PyPi](https://pypi.org/project/anomalib) (πŸ“₯ 56K / month Β· πŸ“¦ 5 Β· ⏱️ 19.03.2025): 
pip install anomalib
dstack (πŸ₯ˆ30 Β· ⭐ 1.8K) - dstack is an open-source alternative to Kubernetes and Slurm, designed.. MPL-2.0 - [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 180 Β· πŸ“¦ 18 Β· πŸ“‹ 1.3K - 8% open Β· ⏱️ 29.05.2025): 
git clone https://github.com/dstackai/dstack
- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 4.6K / month Β· ⏱️ 28.05.2025): 
pip install dstack
causalml (πŸ₯ˆ29 Β· ⭐ 5.4K) - Uplift modeling and causal inference with machine learning.. Apache-2 - [GitHub](https://github.com/uber/causalml) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 810 Β· πŸ“¦ 290 Β· πŸ“‹ 410 - 10% open Β· ⏱️ 23.05.2025): 
git clone https://github.com/uber/causalml
- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 41K / month Β· πŸ“¦ 10 Β· ⏱️ 15.05.2025): 
pip install causalml
adapter-transformers (πŸ₯‰28 Β· ⭐ 2.7K) - A Unified Library for Parameter-Efficient and Modular.. Apache-2 huggingface - [GitHub](https://github.com/adapter-hub/adapters) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 360 Β· πŸ“¦ 240 Β· πŸ“‹ 400 - 10% open Β· ⏱️ 27.05.2025): 
git clone https://github.com/Adapter-Hub/adapter-transformers
- [PyPi](https://pypi.org/project/adapter-transformers) (πŸ“₯ 4.2K / month Β· πŸ“¦ 12 Β· ⏱️ 07.07.2024): 
pip install adapter-transformers
Prince (πŸ₯‰28 Β· ⭐ 1.4K) - Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA,.. MIT - [GitHub](https://github.com/MaxHalford/prince) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 180 Β· πŸ“¦ 750 Β· ⏱️ 24.05.2025): 
git clone https://github.com/MaxHalford/prince
- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 150K / month Β· πŸ“¦ 20 Β· ⏱️ 09.03.2025): 
pip install prince
- [Conda](https://anaconda.org/conda-forge/prince-factor-analysis) (πŸ“₯ 25K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge prince-factor-analysis
Trax (πŸ₯‰27 Β· ⭐ 8.2K) - Trax Deep Learning with Clear Code and Speed. Apache-2 - [GitHub](https://github.com/google/trax) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 820 Β· πŸ“¦ 220 Β· πŸ“‹ 250 - 49% open Β· ⏱️ 10.04.2025): 
git clone https://github.com/google/trax
- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 2.1K / month Β· πŸ“¦ 1 Β· ⏱️ 26.10.2021): 
pip install trax
avalanche (πŸ₯‰27 Β· ⭐ 1.9K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT - [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 300 Β· πŸ“₯ 54 Β· πŸ“¦ 140 Β· πŸ“‹ 830 - 12% open Β· ⏱️ 11.03.2025): 
git clone https://github.com/ContinualAI/avalanche
- [PyPi](https://pypi.org/project/avalanche-lib) (πŸ“₯ 1.7K / month Β· πŸ“¦ 3 Β· ⏱️ 29.10.2024): 
pip install avalanche-lib
TabPy (πŸ₯‰27 Β· ⭐ 1.6K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT - [GitHub](https://github.com/tableau/TabPy) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 600 Β· πŸ“¦ 210 Β· πŸ“‹ 320 - 6% open Β· ⏱️ 25.11.2024): 
git clone https://github.com/tableau/TabPy
- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 5.9K / month Β· πŸ“¦ 2 Β· ⏱️ 25.11.2024): 
pip install tabpy
- [Conda](https://anaconda.org/anaconda/tabpy-client) (πŸ“₯ 5.2K Β· ⏱️ 22.04.2025): 
conda install -c anaconda tabpy-client
pycm (πŸ₯‰27 Β· ⭐ 1.5K) - Multi-class confusion matrix library in Python. MIT - [GitHub](https://github.com/sepandhaghighi/pycm) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 130 Β· πŸ“¦ 410 Β· πŸ“‹ 210 - 8% open Β· ⏱️ 04.04.2025): 
git clone https://github.com/sepandhaghighi/pycm
- [PyPi](https://pypi.org/project/pycm) (πŸ“₯ 39K / month Β· πŸ“¦ 24 Β· ⏱️ 04.04.2025): 
pip install pycm
metric-learn (πŸ₯‰26 Β· ⭐ 1.4K Β· πŸ’€) - Metric learning algorithms in Python. MIT - [GitHub](https://github.com/scikit-learn-contrib/metric-learn) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 230 Β· πŸ“¦ 480 Β· πŸ“‹ 180 - 30% open Β· ⏱️ 03.08.2024): 
git clone https://github.com/scikit-learn-contrib/metric-learn
- [PyPi](https://pypi.org/project/metric-learn) (πŸ“₯ 5.3K / month Β· πŸ“¦ 7 Β· ⏱️ 09.10.2023): 
pip install metric-learn
- [Conda](https://anaconda.org/conda-forge/metric-learn) (πŸ“₯ 16K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge metric-learn
Feature Engine (πŸ₯‰25 Β· ⭐ 2K Β· πŸ’€) - Feature engineering package with sklearn like functionality. BSD-3 - [GitHub](https://github.com/solegalli/feature_engine) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 320 Β· ⏱️ 31.08.2024): 
git clone https://github.com/solegalli/feature_engine
- [PyPi](https://pypi.org/project/feature_engine) (πŸ“₯ 290K / month Β· πŸ“¦ 180 Β· ⏱️ 22.01.2025): 
pip install feature_engine
- [Conda](https://anaconda.org/conda-forge/feature_engine) (πŸ“₯ 73K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge feature_engine
AugLy (πŸ₯‰24 Β· ⭐ 5K) - A data augmentations library for audio, image, text, and video. MIT - [GitHub](https://github.com/facebookresearch/AugLy) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 300 Β· πŸ“¦ 180 Β· πŸ“‹ 80 - 30% open Β· ⏱️ 28.02.2025): 
git clone https://github.com/facebookresearch/AugLy
- [PyPi](https://pypi.org/project/augly) (πŸ“₯ 2.4K / month Β· πŸ“¦ 4 Β· ⏱️ 05.12.2023): 
pip install augly
BioPandas (πŸ₯‰23 Β· ⭐ 730 Β· πŸ’€) - Working with molecular structures in pandas DataFrames. BSD-3 - [GitHub](https://github.com/BioPandas/biopandas) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 380 Β· πŸ“‹ 60 - 36% open Β· ⏱️ 01.08.2024): 
git clone https://github.com/rasbt/biopandas
- [PyPi](https://pypi.org/project/biopandas) (πŸ“₯ 9.5K / month Β· πŸ“¦ 38 Β· ⏱️ 01.08.2024): 
pip install biopandas
- [Conda](https://anaconda.org/conda-forge/biopandas) (πŸ“₯ 180K Β· ⏱️ 22.04.2025): 
conda install -c conda-forge biopandas
MONAILabel (πŸ₯‰22 Β· ⭐ 720) - MONAI Label is an intelligent open source image labeling and.. Apache-2 - [GitHub](https://github.com/Project-MONAI/MONAILabel) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 220 Β· πŸ“₯ 120K Β· πŸ“‹ 540 - 25% open Β· ⏱️ 05.05.2025): 
git clone https://github.com/Project-MONAI/MONAILabel
- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 720 / month Β· ⏱️ 01.10.2023): 
pip install monailabel-weekly
SUOD (πŸ₯‰22 Β· ⭐ 390) - (MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous.. BSD-2 - [GitHub](https://github.com/yzhao062/SUOD) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 49 Β· πŸ“¦ 550 Β· πŸ“‹ 15 - 80% open Β· ⏱️ 24.03.2025): 
git clone https://github.com/yzhao062/SUOD
- [PyPi](https://pypi.org/project/suod) (πŸ“₯ 14K / month Β· πŸ“¦ 9 Β· ⏱️ 24.03.2025): 
pip install suod
pykale (πŸ₯‰21 Β· ⭐ 460) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT - [GitHub](https://github.com/pykale/pykale) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 66 Β· πŸ“¦ 6 Β· πŸ“‹ 130 - 8% open Β· ⏱️ 27.05.2025): 
git clone https://github.com/pykale/pykale
- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 120 / month Β· ⏱️ 12.04.2022): 
pip install pykale
benchmark_VAE (πŸ₯‰20 Β· ⭐ 1.9K Β· πŸ’€) - Unifying Variational Autoencoder (VAE).. Apache-2 - [GitHub](https://github.com/clementchadebec/benchmark_VAE) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 170 Β· πŸ“¦ 40 Β· πŸ“‹ 71 - 36% open Β· ⏱️ 17.07.2024): 
git clone https://github.com/clementchadebec/benchmark_VAE
- [PyPi](https://pypi.org/project/pythae) (πŸ“₯ 740 / month Β· ⏱️ 06.09.2023): 
pip install pythae
pymdp (πŸ₯‰19 Β· ⭐ 530) - A Python implementation of active inference for Markov Decision Processes. MIT - [GitHub](https://github.com/infer-actively/pymdp) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 100 Β· πŸ“¦ 24 Β· πŸ“‹ 56 - 48% open Β· ⏱️ 06.02.2025): 
git clone https://github.com/infer-actively/pymdp
- [PyPi](https://pypi.org/project/inferactively-pymdp) (πŸ“₯ 7.9K / month Β· ⏱️ 08.12.2022): 
pip install inferactively-pymdp
NeuralCompression (πŸ₯‰14 Β· ⭐ 550 Β· πŸ’€) - A collection of tools for neural compression enthusiasts. MIT - [GitHub](https://github.com/facebookresearch/NeuralCompression) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 46 Β· πŸ“‹ 73 - 9% open Β· ⏱️ 20.09.2024): 
git clone https://github.com/facebookresearch/NeuralCompression
- [PyPi](https://pypi.org/project/neuralcompression) (πŸ“₯ 110 / month Β· ⏱️ 03.10.2023): 
pip install neuralcompression
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