2025¶

May 21, 2025
in Science, ML
13 min read

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)]
E(3)NN	Direct prediction of phonon density of states with Euclidean neural networks (Advanced Science, 2021) Paper(https://github.com/zhantaochen/phonondos_e3nn)]
ECN	Equivariant networks for crystal structures (NeurIPS2022) Paper(https://github.com/oumarkaba/equivariant_crystal_networks)]
Matformer	Periodic Graph Transformers for Crystal Material Property Prediction (NeurIPS2022) Paper(https://github.com/YKQ98/Matformer)]
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]
DOSTransformer	Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer (NeurIPS2023) Paper(https://github.com/HeewoongNoh/DOSTransformer)]
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)]
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]
CEGANN	CEGANN: Crystal Edge Graph Attention Neural Network for multiscale classification of materials environment (npj Computational Materials, 2023) Paper(https://github.com/sbanik2/CEGANN)]
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)]
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]
CrysDiff	A Diffusion-Based Pre-training Framework for Crystal Property Prediction (AAAI2024) [Paper]
-	Structure-aware graph neural network based deep transfer learning framework for enhanced predictive analytics on diverse materials datasets (npj Computational Materials, 2024) [Paper]
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)]
MVN	Virtual node graph neural network for full phonon prediction (Nature Computational Science, 2024) Paper(https://github.com/RyotaroOKabe/phonon_prediction)]
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]
HiBoFL	Hierarchy-boosted funnel learning for identifying semiconductors with ultralow lattice thermal conductivity (npj Computational Materials, 2025) [Paper] [Code]
Rep-CodeGen	Code-Generated Graph Representations Using Multiple LLM Agents for Material Properties Prediction (ICML2025) [Paper]
-	Learning the Electronic Hamiltonian of Large Atomic Structures (ICML2025) [Paper]
-	A framework to evaluate machine learning crystal stability predictions (Nature Machine Intelligence, 2025) [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]
a²c	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]
-	Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective (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] [Code]
KLDM	Kinetic Langevin Diffusion for Crystalline Materials Generation (ICML2025) [Paper]
WyckoffDiff	WyckoffDiff -- A Generative Diffusion Model for Crystal Symmetry (ICML2025) [Paper] [Code]
OMG	Open Materials Generation with Stochastic Interpolants (ICML2025) [Paper] [Code]
ADiT	All-atom Diffusion Transformers: Unified generative modelling of molecules and materials (ICML2025) [Paper] [Code]
UniMate	UniMate: A Unified Model for Mechanical Metamaterial Generation, Property Prediction, and Condition Confirmation (ICML2025) [Paper] [Code]
-	Inverse design of metal-organic frameworks using deep dreaming approaches (Nature Communications, 2025) Paper(https://github.com/SarkisovTeam/dreaming4MOFs)]
VQCrystal	Massive discovery of crystal structures across dimensionalities by leveraging vector quantization (npj Computational Materials, 2025) Paper(https://github.com/Fatemoisted/VQCrystal)]

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]
-	Universal machine learning interatomic potentials are ready for phonons (npj Computational Materials, 2025) [Paper] [Code]
AssembleFlow	AssembleFlow: Rigid Flow Matching with Inertial Frames for Molecular Assembly (ICLR2025) [Paper]
SLEM	Learning local equivariant representations for quantum operators (ICLR2025) [Paper]
-	Machine learning Hubbard parameters with equivariant neural networks (npj Computational Materials, 2025) [Paper] [Code]
PIWSL	Physics-Informed Weakly Supervised Learning For Interatomic Potentials (ICML2025) Paper(https://github.com/nec-research/PICPS-ML4Sci)]
ELoRA	ELoRA: Low-Rank Adaptation for Equivariant GNNs (ICML2025) Paper(https://github.com/hyjwpk/ELoRA)]
eSEN	Learning Smooth and Expressive Interatomic Potentials for Physical Property Prediction (ICML2025) Paper(https://github.com/facebookresearch/fairchem)]
-	The dark side of the forces: assessing non-conservative force models for atomistic machine learning (ICML2025) [Paper]

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)]
M² Hub	M²Hub: 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

April 21, 2025
in Science, ML
15 min read

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 datasets—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

Contributing

Want to add a new dataset or improve metadata?

Fork the repository
Edit the appropriate dataset list or add a new entry
Submit a pull request with a brief description and download link OR
Submit as an issue

Datasets

Computational Datasets

Dataset	Domain	Size	Type	Format	License	Access
MSR-ACC/TAE25	Small molecules	77k CCSD(T)/CBS atomization energies	Computational	JSON	CDLA 2.0	Open
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	ΔG 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
QMugs	Drug-like molecules	665 k mol / 2 M conf	Computational	HDF5	CC BY 4.0	Open
C2DB	2-D materials	~4 000 entries	Computational	JSON/API	CC BY 4.0	Open
ANI-1x / 1ccx	Small organic mol	5 M (DFT) + 0.5 M (CCSD)	Computational	HDF5	CC BY-NC 4.0	Open
CoRE MOF 2019	Metal-organic frameworks	14 763 structures	Computational	CIF/JSON	CC BY 4.0	Open
QMOF Database	Metal-organic frameworks	20k+ structures (DFT)	Computational	CIF/JSON	CC BY 4.0	Open
Catalysis-Hub	Surface reactions	>100 k energies	Computational	JSON/API	CC BY 4.0	Open
ODAC23	MOF + CO₂/H₂O adsorption	38 M DFT calcs	Computational	HDF5	CC BY 4.0	Open
MOFX-DB	Gas adsorption in MOFs	3 M isotherm pts	Computational	CSV/HDF5	CC BY 4.0	Open
LeMat-Bulk	Inorganic materials (bulk)	6.7M structures (5.9M materials)	Computational	HuggingFace Dataset	CC BY 4.0	Open
LeMat-Traj	Inorganic materials (trajectories)	113M structures	Computational	HuggingFace Dataset	CC BY 4.0	Open
NeurIPS Open Polymer Prediction 2025	Polymers	~1,500 test polymers with MD-derived properties	Computational	CSV	Open	Open
Carbon Data	Carbon materials	22.9M atoms, 546 trajectories	Computational	EXTXYZ	Open	Open
MSR-ACC/TAE25	Small molecules (up to Ar)	76,879 total atomization energies	Computational	HDF5/CSV	Open	Open
DFT Solvation Energy Dataset	Small molecules	651,290 solvation energies in 5 solvents	Computational	CSV/JSON	Open	Open
MD Simulated Monomer Properties	Small molecules	410 molecules with thermodynamic properties	Computational	CSV/JSON	Open	Open
Multimodal Spectroscopic Dataset	Molecular spectroscopy	790k molecules with simulated spectra	Computational	HDF5/JSON	Open	Open
PubChemQCR	Small molecules (relaxation)	3.5M trajectories / 300M conformations	Computational	HuggingFace Dataset	Apache-2.0	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
HTEM-DB	Thin-film composition libraries	140 k+ samples	Experimental	JSON/API	CC0	Open
OCx24	Electrocatalyst inks	572 samples (+DFT)	Experimental	CSV	CC BY 4.0	Open
Polymer Genome	Polymers	20 k polymers	Experimental + Comp	CSV/JSON	CC BY 4.0	Open
CoRE MOF 2024	Metal-organic frameworks	40k+ experimental MOFs	Experimental	CIF	Open	Open
SAIR	Protein-ligand binding	1M+ complexes, 5.2M structures, 2.5TB	Experimental	3D/CSV	CC BY-NC-SA 4.0	Open
Anion Solvation DB	Anion solvation	~26k properties	Mixed	CSV	CC BY 4.0	Open
BigSolDB	Organic molecule solubility	~54k exp. values	Experimental	CSV	CC BY 4.0	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	≈55K 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)	≈1B 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
ChemRxivQuest	Chem literature QA	970 QA pairs	LLM Training	JSON	CC BY 4.0	Open
USPTO-Lowe	Patent reactions	1.8 M reactions	Literature-mined	RXN/SMILES	CC BY 4.0	Open
MolTextNet	Small molecules with text	2.5M molecule-text pairs	LLM Training	HuggingFace Dataset	Open	Open
MolOpt-Instructions	Molecule optimization	1.18M instruction-based optimization tasks	LLM Training	HuggingFace Dataset	Open	Open
TextEdge	Crystal properties	Crystal text descriptions with properties	LLM Training	JSON	Open	Open
LAMBench-TrainingSet-v1	Materials structures	19.8M structures for Large Atom Models	LLM Training	Various	Open	Open
LLM4Mat	Materials property prediction	1.9M crystal structures, 45 properties, 3 modalities	LLM Training	Various	Open	Open
LLM-EO	Transition metal complexes / Optimization	1.37M TMC space explored	LLM Training	GitHub	Apache-2.0	Open
Flavor Analysis and Recognition Transformer	Molecular taste prediction	Multi-class taste classification dataset	LLM Training	SMILES/JSON	Open	Open
SCQA (Solar Cell QA)	Solar cells	47K QA pairs	LLM Training	JSON	Open	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
MatSciKB	Materials science KB	38.5k entries (20k papers, 3.6k Wikipedia, 1.9k textbooks, 10.5k datasets)	Literature	Structured text	Open	Open

Physics & Engineering (PDE, CFD) Datasets

Dataset	Domain	Size	Type	Format	License	Access
PDEBench	PDE solving / Scientific ML	Multiple datasets	Benchmark / Simulation	HDF5/PyTorch	Apache-2.0	Open
BLASTNet	Fluid mechanics / Reacting flows	17 TB	Simulation / CFD	HDF5/NPY	Open	Open
Johns Hopkins Turbulence DB (JHTDB)	DNS/LES turbulence (9 canonical flows)	≈ 350 TB	Simulation	Web API / HDF5 cutouts	Public Domain	Open
Airfoil CFD 2k	1,830 airfoils × 25 AoA × 3 Re	~6 GB (250 k cases)	Simulation	HDF5	CC BY 4.0	Open
PDEArena (collection)	2-D Navier–Stokes, Shallow-Water, 3-D Maxwell	≈ 100 GB (4 datasets)	Simulation	Torch / HDF5	MIT	Open
WeatherBench 2	Global weather reanalysis (ERA5, 1979-2023)	≈ 5 TB	Reanalysis	NetCDF/Zarr	MIT	Open
UT Austin Channel-DNS Suite	Incompressible channel flow Re_τ 180 – 5200	≈ 10 TB	Simulation	Binary / ASCII	Research-Free	Open
Compressible TPC DNS DB	Compressible channel flow (25 M, Re_τ*)	~2 GB	Simulation	TXT tables	CC BY 4.0	Open
Curated RANS ↔ DNS Dataset	29 geometries, 4 RANS models w/ DNS/LES labels	1.1 GB	Simulation	HDF5/CSV	CC BY 4.0	Open
NASA Common Research Model (CRM)	Aircraft CRM geom. + wind-tunnel & CFD results	Multi-GB	Mixed (Exp + Sim)	CAD / CSV / Tecplot	NASA PDL	Open
Darcy-Flow (FNO)	2-D porous-media pressure fields (∇·k∇u = f)	≈ 1 GB (10 k samples)	Simulation	HDF5	Apache-2.0	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

Add StarryData2: https://github.com/starrydata/starrydata_datasets
Add all OpenQDC datasets https://www.openqdc.io/datasets
Classify and add CRIPT for polymer data
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 × 10−3 to 7 × 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.

Changelog

July 2025

Expanded the collection into new scientific domains with 17 new datasets, introducing benchmarks for physics-based machine learning and adding a massive new resource for molecular dynamics.

💨 Physics & Engineering Datasets (11 datasets)

PDEBench: A comprehensive benchmark suite for scientific machine learning featuring a wide range of Partial Differential Equations. It provides large, ready-to-use datasets for challenging physics problems, supporting both forward and inverse modeling.
BLASTNet: A 17 TB collection of high-fidelity fluid mechanics simulation datasets for ML applications in automotive, propulsion, and energy sectors. It includes code and pre-trained models for tasks like turbulence modeling and spatio-temporal prediction.
JHTDB: multi-terabyte DNS/LES portal with isotropic, channel, MHD, boundary-layer and atmospheric datasets.
Airfoil CFD 2k: DOE/NREL benchmark: 1,830 shapes × 250 k RANS simulations; HDF5 + AWS mirror.
PDEArena: Hugging-Face org offering Navier–Stokes, Shallow-Water & Maxwell tensors; MIT license.
WeatherBench 2: ERA5-derived Zarr cubes for data-driven medium-range forecasting; MIT.
UT Austin DNS Suite: public HTTP server with Reτ 180–5200 channel data & statistics.
Compressible TPC DNS DB: 25 Reynolds–Mach cases, plain-text statistics (Mendeley Data).
Curated RANS ↔ DNS: Scientific Data descriptor + Kaggle mirror for ML turbulence closures.
NASA CRM: open CAD, grids, wind-tunnel Cp & force/moment datasets for the community benchmark.
Darcy Flow (FNO): canonical permeability→pressure dataset used in FNO/PINO papers. These additions give researchers ready-to-train data for high-Re wall turbulence, compressible flows, porous-media transport, global atmosphere, and aeronautical configurations, rounding out the repository’s materials/chemistry focus with state-of-the-art CFD & PDE benchmarks.

🧮 Computational Datasets (1 dataset)

PubChemQCR: A massive dataset of molecular relaxation trajectories for ~3.5 million small molecules, containing over 300 million conformations with energy and force labels. It is the largest public dataset of its kind, designed to accelerate the development of machine learning interatomic potentials (MLIPs).

📚 LLM Training Datasets (3 datasets)

LLM-EO (Evolutionary Optimization): A framework that integrates LLMs into evolutionary algorithms for optimizing transition metal complexes. This approach leverages the chemical knowledge of LLMs to surpass traditional genetic algorithms, enabling flexible, multi-objective optimization without complex mathematical formulations.
Flavor Analysis and Recognition Transformer: A state-of-the-art machine learning model dataset for predicting molecular taste from chemical structures. Built on ChemBERTa transformer architecture, it classifies molecules across four taste categories (sweet, bitter, sour, umami) with >91% accuracy, enabling interpretability through gradient-based visualizations and applications in flavor compound discovery and rational food design.
SCQA (Solar Cell QA): Domain-specific question-answering dataset containing 47,268 QA pairs about solar cell properties, auto-generated using ChemDataExtractor. Fine-tuning language models on this dataset achieves F1-scores exceeding general-English QA datasets by 10-20%, demonstrating the value of domain-specific training data for specialized scientific applications.

🧪 Experimental Datasets (2 datasets)

Anion Solvation DB: Comprehensive compilation of 26,000+ solvation properties including 8,241 experimental pKa values across 8 solvents, 5,536 computed gas-phase acidities, and over 12,000 solvation energies for anions and neutral compounds computed using COSMO-RS. Bridges experimental and computational approaches for understanding anion behavior in different solvation environments.
BigSolDB: Extensive experimental solubility database containing 54,273 measured solubility values across temperature range 243.15-403.15 K in various organic solvents and water. Features diverse chemical space coverage with interactive t-SNE exploration tool and comprehensive statistical analysis for QSPR model development.

June 2025

Added 28 new high-quality datasets spanning polymer science, drug discovery, carbon materials, spectroscopy, MOF databases, foundation model training, and materials knowledge bases:

🧮 Computational Datasets (15 datasets)

NeurIPS Open Polymer Prediction 2025: Kaggle competition dataset for predicting 5 key polymer properties (Tg, FFV, Tc, density, Rg) from SMILES structures using MD simulation ground truth. Includes ~1,500 test polymers.
Carbon Data: 22.9 million atom dataset with synthetic energy labels from C-GAP-17 potential, featuring 546 carbon trajectories across diverse densities and temperatures. Captures nanotubes, graphitic films, diamond, and amorphous carbon environments.
MSR-ACC/TAE25: Microsoft Research's comprehensive dataset of 76,879 total atomization energies computed at CCSD(T)/CBS level using W1-F12 protocol. Exhaustively covers chemical space for elements up to argon with sub-chemical accuracy (±1 kcal/mol).
DFT Solvation Energy Dataset: 651,290 computed solvation energies for 130,258 molecules from QM9 dataset across 5 solvents (acetone, ethanol, acetonitrile, DMSO, water). Achieves 0.5 kcal/mol MAE for small molecules with accompanying ML models and web interface.
MD Simulated Monomer Properties: GPU-accelerated molecular dynamics dataset of thermodynamic properties for 410 molecules, generated through active learning pipeline. Includes validation against experimental data and automated simulation workflow.
Multimodal Spectroscopic Dataset: Comprehensive spectroscopic dataset with simulated 1H-NMR, 13C-NMR, HSQC-NMR, Infrared, and Mass spectra for 790k molecules from patent reactions. Enables multimodal foundation model development for structure elucidation and functional group prediction.
QMugs: 665k drug-like molecules with ~2M conformers, featuring quantum mechanical properties at both semi-empirical (GFN2-xTB) and DFT (ωB97X-D/def2-SVP) levels.
C2DB (Computational 2D Materials Database): ~4,000 two-dimensional materials with computed structural, electronic, magnetic, and optical properties.
ANI-1x / ANI-1ccx: 5 million DFT and 500k CCSD(T) calculations for organic molecules, supporting machine learning potential development.
CoRE MOF 2019: 14,763 computation-ready metal-organic frameworks with solvent and charge balancing, suitable for high-throughput screening.
QMOF Database: Comprehensive database of quantum-chemical properties for 20,000+ metal-organic frameworks derived from high-throughput periodic density functional theory calculations.
Catalysis-Hub Surface Reactions: Over 100,000 adsorption and reaction energies on catalytic surfaces, accessible via a Python/GraphQL API.
ODAC23 (Open DAC 2023): 38 million DFT calculations of CO₂/H₂O adsorption on 8,400 MOFs, aimed at direct-air-capture sorbent discovery.
MOFX-DB: Over 3 million simulated adsorption data points across 160,000 MOFs and 286 zeolites for various gases.
Enhanced QCML dataset entry with more comprehensive description of coverage and properties

🧪 Experimental Datasets (5 datasets)

SAIR (Structurally Augmented IC50 Repository): Largest public protein–ligand binding dataset with over 1 million complexes and 5.2 million cofolded 3D structures (2.5TB total). Combines experimental binding affinities from ChEMBL/BindingDB with Boltz-1x predicted structures.
CoRE MOF 2024: Updated database of over 40,000 experimentally reported metal-organic frameworks from literature through early 2024. Includes pre-computed material properties for high-throughput material-process screening and carbon-capture applications.
HTEM-DB (High-Throughput Experimental Materials Database): More than 140,000 composition–process–property data points from combinatorial sputtering experiments, with optical, electrical, and structural measurements.
OCx24 (Open Catalyst Experiments 2024): 572 synthesized catalyst inks evaluated with matched XRF/XRD and DFT adsorption energies, bridging the gap between simulation and laboratory data.
Khazana / Polymer Genome: Approximately 20,000 polymers with DFT-calculated properties and experimental dielectric data, supporting machine learning on soft materials.

📚 LLM Training Datasets (5 datasets)

MolTextNet: 2.5 million high-quality molecule-text pairs from ChEMBL35, featuring GPT-4o-mini generated descriptions 10x longer than existing datasets. Integrates structural features, computed properties, bioactivity data, and synthetic complexity for multimodal molecular modeling.
MolOpt-Instructions: 1.18 million instruction-based molecule optimization tasks for fine-tuning LLMs on drug discovery. Supports interactive human-machine dialogue for molecule optimization through the DrugAssist framework, enabling expert feedback integration and iterative refinement.
TextEdge: Benchmark dataset for predicting crystal properties from natural language text descriptions. Demonstrates superior performance of LLM-based approaches over traditional GNN methods, with improvements of 8% on band gap prediction and 65% on unit cell volume prediction.
LAMBench-TrainingSet-v1: Massive training dataset for Large Atom Models (LAMs) containing 19.8 million valid structures from the OpenLAM Initiative. Includes 1 million structures on the convex hull for advancing generative modeling and materials science applications.
LLM4Mat: Comprehensive benchmark dataset for evaluating LLMs in materials property prediction, containing 1.9M crystal structures from 10 data sources with 45 distinct properties. Features three input modalities (crystal composition, CIF, text description) with 4.7M, 615.5M, and 3.1B tokens respectively.

📖 Literature-mined & Text Datasets (3 datasets)

MatSciKB: Comprehensive materials science knowledge base with 38,469 curated entries across 16 categories. Integrates ArXiv papers (20,384), Wikipedia articles (3,620), textbooks (1,930), datasets (10,473), formulas (57), and GPT-generated examples (2,005) with efficient CRUD operations for research applications.
ChemRxivQuest: 970 curated question–answer pairs spanning 17 chemistry subfields, designed for retrieval-augmented generation and factuality assessments.
USPTO-Lowe Reactions (1976–2016): 1.8 million atom-mapped reactions extracted from US patents, serving as a benchmark for reaction prediction and retrosynthesis models.

⸻

Earlier Updates

For changes made earlier than the changelog entries, please see the repository commit history.

Source

January 20, 2025
in Python, ML
164 min read

Best-of Machine Learning with Python

🏆 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!

🧙‍♂️ Discover other best-of lists or create your own.
📫 Subscribe to our newsletter for updates and trending projects.

Machine Learning Frameworks 63 projects
Data Visualization 55 projects
Text Data & NLP 103 projects
Image Data 64 projects
Graph Data 36 projects
Audio Data 29 projects
Geospatial Data 22 projects
Financial Data 25 projects
Time Series Data 29 projects
Medical Data 19 projects
Tabular Data 6 projects
Optical Character Recognition 12 projects
Data Containers & Structures 1 projects
Data Loading & Extraction 1 projects
Web Scraping & Crawling 1 projects
Data Pipelines & Streaming 2 projects
Distributed Machine Learning 36 projects
Hyperparameter Optimization & AutoML 52 projects
Reinforcement Learning 23 projects
Recommender Systems 17 projects
Privacy Machine Learning 7 projects
Workflow & Experiment Tracking 40 projects
Model Serialization & Deployment 20 projects
Model Interpretability 55 projects
Vector Similarity Search (ANN) 13 projects
Probabilistics & Statistics 24 projects
Adversarial Robustness 9 projects
GPU & Accelerator Utilities 20 projects
Tensorflow Utilities 16 projects
Jax Utilities 3 projects
Sklearn Utilities 19 projects
Pytorch Utilities 32 projects
Database Clients 1 projects
Others 66 projects

Explanation

🥇🥈🥉 Combined project-quality score
⭐️ Star count from GitHub
🐣 New project (less than 6 months old)
💤 Inactive project (6 months no activity)
💀 Dead project (12 months no activity)
📈📉 Project is trending up or down
➕ Project was recently added
❗️ Warning (e.g. missing/risky license)
👨‍💻 Contributors count from GitHub
🔀 Fork count from GitHub
📋 Issue count from GitHub
⏱️ Last update timestamp on package manager
📥 Download count from package manager
📦 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

General-purpose machine learning and deep learning frameworks.

Tensorflow (🥇56 · ⭐ 190K) - An Open Source Machine Learning Framework for Everyone. Apache-2

- [GitHub](https://github.com/tensorflow/tensorflow) (👨‍💻 4.9K · 🔀 75K · 📦 520K · 📋 41K - 3% open · ⏱️ 22.05.2025):

git clone https://github.com/tensorflow/tensorflow

- [PyPi](https://pypi.org/project/tensorflow) (📥 22M / month · 📦 8.9K · ⏱️ 12.03.2025):

pip install tensorflow

- [Conda](https://anaconda.org/conda-forge/tensorflow) (📥 5.5M · ⏱️ 22.04.2025):

conda install -c conda-forge tensorflow

- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (📥 80M · ⭐ 2.8K · ⏱️ 22.05.2025):

docker pull tensorflow/tensorflow

PyTorch (🥇55 · ⭐ 90K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3

- [GitHub](https://github.com/pytorch/pytorch) (👨‍💻 5.6K · 🔀 24K · 📥 88K · 📦 780K · 📋 52K - 31% open · ⏱️ 22.05.2025):

git clone https://github.com/pytorch/pytorch

- [PyPi](https://pypi.org/project/torch) (📥 49M / month · 📦 25K · ⏱️ 23.04.2025):

pip install torch

- [Conda](https://anaconda.org/pytorch/pytorch) (📥 27M · ⏱️ 25.03.2025):

conda install -c pytorch pytorch

scikit-learn (🥇53 · ⭐ 62K) - scikit-learn: machine learning in Python. BSD-3

- [GitHub](https://github.com/scikit-learn/scikit-learn) (👨‍💻 3.3K · 🔀 26K · 📥 1.1K · 📦 1.3M · 📋 12K - 17% open · ⏱️ 22.05.2025):

git clone https://github.com/scikit-learn/scikit-learn

- [PyPi](https://pypi.org/project/scikit-learn) (📥 100M / month · 📦 30K · ⏱️ 09.05.2025):

pip install scikit-learn

- [Conda](https://anaconda.org/conda-forge/scikit-learn) (📥 36M · ⏱️ 09.05.2025):

conda install -c conda-forge scikit-learn

Keras (🥇47 · ⭐ 63K) - Deep Learning for humans. Apache-2

- [GitHub](https://github.com/keras-team/keras) (👨‍💻 1.4K · 🔀 20K · 📋 13K - 2% open · ⏱️ 21.05.2025):

git clone https://github.com/keras-team/keras

- [PyPi](https://pypi.org/project/keras) (📥 16M / month · 📦 1.9K · ⏱️ 19.05.2025):

pip install keras

- [Conda](https://anaconda.org/conda-forge/keras) (📥 4.1M · ⏱️ 20.05.2025):

conda install -c conda-forge keras

XGBoost (🥇46 · ⭐ 27K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2

- [GitHub](https://github.com/dmlc/xgboost) (👨‍💻 660 · 🔀 8.8K · 📥 16K · 📦 160K · 📋 5.5K - 8% open · ⏱️ 20.05.2025):

git clone https://github.com/dmlc/xgboost

- [PyPi](https://pypi.org/project/xgboost) (📥 25M / month · 📦 2.5K · ⏱️ 13.05.2025):

pip install xgboost

- [Conda](https://anaconda.org/conda-forge/xgboost) (📥 6.1M · ⏱️ 15.05.2025):

conda install -c conda-forge xgboost

jax (🥇45 · ⭐ 32K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2

- [GitHub](https://github.com/jax-ml/jax) (👨‍💻 880 · 🔀 3K · 📦 44K · 📋 6.2K - 23% open · ⏱️ 22.05.2025):

git clone https://github.com/google/jax

- [PyPi](https://pypi.org/project/jax) (📥 7.5M / month · 📦 2.5K · ⏱️ 21.05.2025):

pip install jax

- [Conda](https://anaconda.org/conda-forge/jaxlib) (📥 2.7M · ⏱️ 17.05.2025):

conda install -c conda-forge jaxlib

PaddlePaddle (🥇45 · ⭐ 23K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2

- [GitHub](https://github.com/PaddlePaddle/Paddle) (👨‍💻 1.4K · 🔀 5.7K · 📥 15K · 📦 8.2K · 📋 20K - 9% open · ⏱️ 22.05.2025):

git clone https://github.com/PaddlePaddle/Paddle

- [PyPi](https://pypi.org/project/paddlepaddle) (📥 390K / month · 📦 230 · ⏱️ 26.03.2025):

pip install paddlepaddle

PySpark (🥈44 · ⭐ 41K) - Apache Spark Python API. Apache-2

- [GitHub](https://github.com/apache/spark) (👨‍💻 3.2K · 🔀 29K · ⏱️ 22.05.2025):

git clone https://github.com/apache/spark

- [PyPi](https://pypi.org/project/pyspark) (📥 46M / month · 📦 1.9K · ⏱️ 27.02.2025):

pip install pyspark

- [Conda](https://anaconda.org/conda-forge/pyspark) (📥 3.9M · ⏱️ 22.04.2025):

conda install -c conda-forge pyspark

pytorch-lightning (🥈43 · ⭐ 30K) - Pretrain, finetune ANY AI model of ANY size on.. Apache-2

- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (👨‍💻 1K · 🔀 3.5K · 📥 13K · 📦 46K · 📋 7.3K - 12% open · ⏱️ 20.05.2025):

git clone https://github.com/Lightning-AI/lightning

- [PyPi](https://pypi.org/project/pytorch-lightning) (📥 9.5M / month · 📦 1.7K · ⏱️ 25.04.2025):

pip install pytorch-lightning

- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (📥 1.5M · ⏱️ 28.04.2025):

conda install -c conda-forge pytorch-lightning

StatsModels (🥈43 · ⭐ 11K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3

- [GitHub](https://github.com/statsmodels/statsmodels) (👨‍💻 460 · 🔀 3.1K · 📥 35 · 📦 170K · 📋 5.7K - 50% open · ⏱️ 06.05.2025):

git clone https://github.com/statsmodels/statsmodels

- [PyPi](https://pypi.org/project/statsmodels) (📥 17M / month · 📦 4.5K · ⏱️ 03.10.2024):

pip install statsmodels

- [Conda](https://anaconda.org/conda-forge/statsmodels) (📥 19M · ⏱️ 22.04.2025):

conda install -c conda-forge statsmodels

LightGBM (🥈42 · ⭐ 17K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT

- [GitHub](https://github.com/microsoft/LightGBM) (👨‍💻 330 · 🔀 3.9K · 📥 290K · 📦 53K · 📋 3.6K - 12% open · ⏱️ 22.05.2025):

git clone https://github.com/microsoft/LightGBM

- [PyPi](https://pypi.org/project/lightgbm) (📥 11M / month · 📦 1.4K · ⏱️ 15.02.2025):

pip install lightgbm

- [Conda](https://anaconda.org/conda-forge/lightgbm) (📥 3.6M · ⏱️ 22.04.2025):

conda install -c conda-forge lightgbm

Catboost (🥈42 · ⭐ 8.4K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2

- [GitHub](https://github.com/catboost/catboost) (👨‍💻 1.3K · 🔀 1.2K · 📥 390K · 📦 18 · 📋 2.4K - 25% open · ⏱️ 22.05.2025):

git clone https://github.com/catboost/catboost

- [PyPi](https://pypi.org/project/catboost) (📥 2.6M / month · 📦 650 · ⏱️ 13.04.2025):

pip install catboost

- [Conda](https://anaconda.org/conda-forge/catboost) (📥 2M · ⏱️ 19.05.2025):

conda install -c conda-forge catboost

Fastai (🥈41 · ⭐ 27K) - The fastai deep learning library. Apache-2

- [GitHub](https://github.com/fastai/fastai) (👨‍💻 670 · 🔀 7.6K · 📦 23K · 📋 1.8K - 13% open · ⏱️ 19.04.2025):

git clone https://github.com/fastai/fastai

- [PyPi](https://pypi.org/project/fastai) (📥 610K / month · 📦 330 · ⏱️ 18.04.2025):

pip install fastai

PyFlink (🥈40 · ⭐ 25K) - Apache Flink Python API. Apache-2

- [GitHub](https://github.com/apache/flink) (👨‍💻 2K · 🔀 14K · 📦 21 · ⏱️ 22.05.2025):

git clone https://github.com/apache/flink

- [PyPi](https://pypi.org/project/apache-flink) (📥 7.2M / month · 📦 35 · ⏱️ 12.02.2025):

pip install apache-flink

einops (🥈37 · ⭐ 8.9K) - Flexible and powerful tensor operations for readable and reliable code.. MIT

- [GitHub](https://github.com/arogozhnikov/einops) (👨‍💻 33 · 🔀 360 · 📦 76K · 📋 200 - 17% open · ⏱️ 25.04.2025):

git clone https://github.com/arogozhnikov/einops

- [PyPi](https://pypi.org/project/einops) (📥 9.6M / month · 📦 2.6K · ⏱️ 09.02.2025):

pip install einops

- [Conda](https://anaconda.org/conda-forge/einops) (📥 380K · ⏱️ 22.04.2025):

conda install -c conda-forge einops

Flax (🥈37 · ⭐ 6.6K) - Flax is a neural network library for JAX that is designed for.. Apache-2

- [GitHub](https://github.com/google/flax) (👨‍💻 260 · 🔀 690 · 📥 61 · 📦 14K · 📋 1.2K - 33% open · ⏱️ 21.05.2025):

git clone https://github.com/google/flax

- [PyPi](https://pypi.org/project/flax) (📥 1.5M / month · 📦 610 · ⏱️ 23.04.2025):

pip install flax

- [Conda](https://anaconda.org/conda-forge/flax) (📥 100K · ⏱️ 22.04.2025):

conda install -c conda-forge flax

Ignite (🥈37 · ⭐ 4.7K) - High-level library to help with training and evaluating neural.. BSD-3

- [GitHub](https://github.com/pytorch/ignite) (👨‍💻 860 · 🔀 650 · 📦 3.8K · 📋 1.4K - 10% open · ⏱️ 07.05.2025):

git clone https://github.com/pytorch/ignite

- [PyPi](https://pypi.org/project/pytorch-ignite) (📥 180K / month · 📦 110 · ⏱️ 22.05.2025):

pip install pytorch-ignite

- [Conda](https://anaconda.org/pytorch/ignite) (📥 230K · ⏱️ 30.03.2025):

conda install -c pytorch ignite

Jina (🥈35 · ⭐ 22K) - Build multimodal AI applications with cloud-native stack. Apache-2

- [GitHub](https://github.com/jina-ai/serve) (👨‍💻 180 · 🔀 2.2K · 📋 1.9K - 0% open · ⏱️ 24.03.2025):

git clone https://github.com/jina-ai/jina

- [PyPi](https://pypi.org/project/jina) (📥 46K / month · 📦 29 · ⏱️ 24.03.2025):

pip install jina

- [Conda](https://anaconda.org/conda-forge/jina-core) (📥 95K · ⏱️ 22.04.2025):

conda install -c conda-forge jina-core

- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (📥 1.8M · ⭐ 8 · ⏱️ 24.03.2025):

docker pull jinaai/jina

Thinc (🥈34 · ⭐ 2.8K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT

- [GitHub](https://github.com/explosion/thinc) (👨‍💻 67 · 🔀 280 · 📥 1.3K · 📦 68K · 📋 150 - 12% open · ⏱️ 07.03.2025):

git clone https://github.com/explosion/thinc

- [PyPi](https://pypi.org/project/thinc) (📥 18M / month · 📦 160 · ⏱️ 04.04.2025):

pip install thinc

- [Conda](https://anaconda.org/conda-forge/thinc) (📥 3.5M · ⏱️ 22.04.2025):

conda install -c conda-forge thinc

ivy (🥈33 · ⭐ 14K) - Convert Machine Learning Code Between Frameworks. Apache-2

- [GitHub](https://github.com/ivy-llc/ivy) (👨‍💻 1.5K · 🔀 5.7K · 📋 17K - 5% open · ⏱️ 29.04.2025):

git clone https://github.com/unifyai/ivy

- [PyPi](https://pypi.org/project/ivy) (📥 21K / month · 📦 16 · ⏱️ 21.02.2025):

pip install ivy

Vowpal Wabbit (🥈33 · ⭐ 8.6K · 💤) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3

- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (👨‍💻 340 · 🔀 1.9K · 📦 2 · 📋 1.3K - 10% open · ⏱️ 01.08.2024):

git clone https://github.com/VowpalWabbit/vowpal_wabbit

- [PyPi](https://pypi.org/project/vowpalwabbit) (📥 22K / month · 📦 40 · ⏱️ 08.08.2024):

pip install vowpalwabbit

- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (📥 360K · ⏱️ 22.04.2025):

conda install -c conda-forge vowpalwabbit

mlpack (🥈33 · ⭐ 5.4K) - mlpack: a fast, header-only C++ machine learning library. BSD-3

- [GitHub](https://github.com/mlpack/mlpack) (👨‍💻 330 · 🔀 1.7K · 📋 1.7K - 1% open · ⏱️ 22.05.2025):

git clone https://github.com/mlpack/mlpack

- [PyPi](https://pypi.org/project/mlpack) (📥 4.3K / month · 📦 6 · ⏱️ 15.05.2025):

pip install mlpack

- [Conda](https://anaconda.org/conda-forge/mlpack) (📥 360K · ⏱️ 22.04.2025):

conda install -c conda-forge mlpack

Ludwig (🥉32 · ⭐ 11K · 💤) - Low-code framework for building custom LLMs, neural networks,.. Apache-2

- [GitHub](https://github.com/ludwig-ai/ludwig) (👨‍💻 160 · 🔀 1.2K · 📦 310 · 📋 1.1K - 4% open · ⏱️ 17.10.2024):

git clone https://github.com/ludwig-ai/ludwig

- [PyPi](https://pypi.org/project/ludwig) (📥 1.4K / month · 📦 6 · ⏱️ 30.07.2024):

pip install ludwig

Sonnet (🥉32 · ⭐ 9.8K) - TensorFlow-based neural network library. Apache-2

- [GitHub](https://github.com/google-deepmind/sonnet) (👨‍💻 61 · 🔀 1.3K · 📦 1.4K · 📋 190 - 16% open · ⏱️ 14.02.2025):

git clone https://github.com/deepmind/sonnet

- [PyPi](https://pypi.org/project/dm-sonnet) (📥 19K / month · 📦 19 · ⏱️ 02.01.2024):

pip install dm-sonnet

- [Conda](https://anaconda.org/conda-forge/sonnet) (📥 43K · ⏱️ 22.04.2025):

conda install -c conda-forge sonnet

skorch (🥉32 · ⭐ 6K) - A scikit-learn compatible neural network library that wraps.. BSD-3

- [GitHub](https://github.com/skorch-dev/skorch) (👨‍💻 67 · 🔀 390 · 📦 1.7K · 📋 540 - 12% open · ⏱️ 24.04.2025):

git clone https://github.com/skorch-dev/skorch

- [PyPi](https://pypi.org/project/skorch) (📥 110K / month · 📦 94 · ⏱️ 10.01.2025):

pip install skorch

- [Conda](https://anaconda.org/conda-forge/skorch) (📥 800K · ⏱️ 22.04.2025):

conda install -c conda-forge skorch

tensorflow-upstream (🥉32 · ⭐ 690) - TensorFlow ROCm port. Apache-2

- [GitHub](https://github.com/ROCm/tensorflow-upstream) (👨‍💻 4.9K · 🔀 99 · 📥 29 · 📋 390 - 4% open · ⏱️ 21.05.2025):

git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream

- [PyPi](https://pypi.org/project/tensorflow-rocm) (📥 12K / month · 📦 9 · ⏱️ 10.01.2024):

pip install tensorflow-rocm

Haiku (🥉31 · ⭐ 3K) - JAX-based neural network library. Apache-2

- [GitHub](https://github.com/google-deepmind/dm-haiku) (👨‍💻 88 · 🔀 250 · 📦 2.5K · 📋 250 - 29% open · ⏱️ 01.05.2025):

git clone https://github.com/deepmind/dm-haiku

- [PyPi](https://pypi.org/project/dm-haiku) (📥 220K / month · 📦 190 · ⏱️ 22.04.2025):

pip install dm-haiku

- [Conda](https://anaconda.org/conda-forge/dm-haiku) (📥 34K · ⏱️ 23.04.2025):

conda install -c conda-forge dm-haiku

Determined (🥉29 · ⭐ 3.1K) - Determined is an open-source machine learning platform.. Apache-2

- [GitHub](https://github.com/determined-ai/determined) (👨‍💻 120 · 🔀 360 · 📥 13K · 📋 450 - 22% open · ⏱️ 20.03.2025):

git clone https://github.com/determined-ai/determined

- [PyPi](https://pypi.org/project/determined) (📥 200K / month · 📦 4 · ⏱️ 19.03.2025):

pip install determined

Geomstats (🥉28 · ⭐ 1.4K) - Computations and statistics on manifolds with geometric structures. MIT

- [GitHub](https://github.com/geomstats/geomstats) (👨‍💻 95 · 🔀 250 · 📦 140 · 📋 570 - 36% open · ⏱️ 22.05.2025):

git clone https://github.com/geomstats/geomstats

- [PyPi](https://pypi.org/project/geomstats) (📥 5K / month · 📦 12 · ⏱️ 09.09.2024):

pip install geomstats

- [Conda](https://anaconda.org/conda-forge/geomstats) (📥 6.5K · ⏱️ 22.04.2025):

conda install -c conda-forge geomstats

NuPIC (🥉27 · ⭐ 6.3K) - Numenta Platform for Intelligent Computing is an implementation of.. MIT

- [GitHub](https://github.com/numenta/nupic-legacy) (👨‍💻 120 · 🔀 1.6K · 📥 22 · 📦 21 · 📋 1.8K - 25% open · ⏱️ 03.12.2024):

git clone https://github.com/numenta/nupic

- [PyPi](https://pypi.org/project/nupic) (📥 930 / month · ⏱️ 01.09.2016):

pip install nupic

pyRiemann (🥉27 · ⭐ 680) - Machine learning for multivariate data through the Riemannian.. BSD-3

- [GitHub](https://github.com/pyRiemann/pyRiemann) (👨‍💻 37 · 🔀 170 · 📦 470 · 📋 110 - 2% open · ⏱️ 19.05.2025):

git clone https://github.com/pyRiemann/pyRiemann

- [PyPi](https://pypi.org/project/pyriemann) (📥 51K / month · 📦 28 · ⏱️ 12.02.2025):

pip install pyriemann

- [Conda](https://anaconda.org/conda-forge/pyriemann) (📥 13K · ⏱️ 22.04.2025):

conda install -c conda-forge pyriemann

Neural Network Libraries (🥉26 · ⭐ 2.7K) - Neural Network Libraries. Apache-2

- [GitHub](https://github.com/sony/nnabla) (👨‍💻 76 · 🔀 330 · 📥 1K · 📋 95 - 36% open · ⏱️ 15.11.2024):

git clone https://github.com/sony/nnabla

- [PyPi](https://pypi.org/project/nnabla) (📥 5.1K / month · 📦 44 · ⏱️ 29.05.2024):

pip install nnabla

ktrain (🥉26 · ⭐ 1.3K · 💤) - ktrain is a Python library that makes deep learning and AI.. Apache-2

- [GitHub](https://github.com/amaiya/ktrain) (👨‍💻 17 · 🔀 270 · 📦 570 · 📋 500 - 0% open · ⏱️ 09.07.2024):

git clone https://github.com/amaiya/ktrain

- [PyPi](https://pypi.org/project/ktrain) (📥 5.4K / month · 📦 4 · ⏱️ 19.06.2024):

pip install ktrain

fklearn (🥉24 · ⭐ 1.5K) - fklearn: Functional Machine Learning. Apache-2

- [GitHub](https://github.com/nubank/fklearn) (👨‍💻 56 · 🔀 170 · 📦 16 · 📋 64 - 60% open · ⏱️ 23.04.2025):

git clone https://github.com/nubank/fklearn

- [PyPi](https://pypi.org/project/fklearn) (📥 1.4K / month · ⏱️ 26.02.2025):

pip install fklearn

Towhee (🥉23 · ⭐ 3.4K · 💤) - Towhee is a framework that is dedicated to making neural data.. Apache-2

- [GitHub](https://github.com/towhee-io/towhee) (👨‍💻 38 · 🔀 260 · 📥 2.7K · 📋 670 - 0% open · ⏱️ 18.10.2024):

git clone https://github.com/towhee-io/towhee

- [PyPi](https://pypi.org/project/towhee) (📥 4.5K / month · ⏱️ 04.12.2023):

pip install towhee

Runhouse (🥉22 · ⭐ 1K) - Distribute and run AI workloads magically in Python, like PyTorch for.. Apache-2

- [GitHub](https://github.com/run-house/runhouse) (👨‍💻 16 · 🔀 36 · 📥 69 · 📋 51 - 17% open · ⏱️ 03.04.2025):

git clone https://github.com/run-house/runhouse

- [PyPi](https://pypi.org/project/runhouse) (📥 19K / month · 📦 1 · ⏱️ 10.03.2025):

pip install runhouse

chefboost (🥉20 · ⭐ 480) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT

- [GitHub](https://github.com/serengil/chefboost) (👨‍💻 7 · 🔀 100 · 📦 71 · ⏱️ 31.03.2025):

git clone https://github.com/serengil/chefboost

- [PyPi](https://pypi.org/project/chefboost) (📥 4.5K / month · ⏱️ 30.10.2024):

pip install chefboost

NeoML (🥉19 · ⭐ 780) - Machine learning framework for both deep learning and traditional.. Apache-2

- [GitHub](https://github.com/neoml-lib/neoml) (👨‍💻 40 · 🔀 130 · 📦 2 · 📋 91 - 40% open · ⏱️ 03.05.2025):

git clone https://github.com/neoml-lib/neoml

- [PyPi](https://pypi.org/project/neoml) (📥 690 / month · ⏱️ 26.12.2023):

pip install neoml

ThunderGBM (🥉18 · ⭐ 700) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2

- [GitHub](https://github.com/Xtra-Computing/thundergbm) (👨‍💻 12 · 🔀 87 · 📦 4 · 📋 81 - 48% open · ⏱️ 19.03.2025):

git clone https://github.com/Xtra-Computing/thundergbm

- [PyPi](https://pypi.org/project/thundergbm) (📥 180 / month · ⏱️ 19.09.2022):

pip install thundergbm

Show 24 hidden projects...

- dlib (🥈40 · ⭐ 14K) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0 - MXNet (🥈39 · ⭐ 21K · 💀) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. Apache-2 - Theano (🥈38 · ⭐ 9.9K · 💀) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 - Chainer (🥈34 · ⭐ 5.9K · 💀) - A flexible framework of neural networks for deep learning. MIT - MindsDB (🥈33 · ⭐ 29K) - AIs query engine - Platform for building AI that can learn and.. ❗️ICU - tensorpack (🥈33 · ⭐ 6.3K · 💀) - A Neural Net Training Interface on TensorFlow, with.. Apache-2 - Turi Create (🥉32 · ⭐ 11K · 💀) - Turi Create simplifies the development of custom machine.. BSD-3 - TFlearn (🥉31 · ⭐ 9.6K · 💀) - Deep learning library featuring a higher-level API for TensorFlow. MIT - dyNET (🥉31 · ⭐ 3.4K · 💀) - DyNet: The Dynamic Neural Network Toolkit. Apache-2 - CNTK (🥉29 · ⭐ 18K · 💀) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT - Lasagne (🥉28 · ⭐ 3.9K · 💀) - Lightweight library to build and train neural networks in Theano. MIT - SHOGUN (🥉27 · ⭐ 3K · 💀) - Unified and efficient Machine Learning. BSD-3 - EvaDB (🥉27 · ⭐ 2.7K · 💀) - Database system for AI-powered apps. Apache-2 - xLearn (🥉25 · ⭐ 3.1K · 💀) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2 - NeuPy (🥉25 · ⭐ 740 · 💀) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT - neon (🥉23 · ⭐ 3.9K · 💀) - Intel Nervana reference deep learning framework committed to best.. Apache-2 - ThunderSVM (🥉22 · ⭐ 1.6K · 💀) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2 - mace (🥉21 · ⭐ 5K · 💀) - MACE is a deep learning inference framework optimized for mobile.. Apache-2 - Neural Tangents (🥉21 · ⭐ 2.3K · 💀) - Fast and Easy Infinite Neural Networks in Python. Apache-2 - Torchbearer (🥉21 · ⭐ 640 · 💀) - torchbearer: A model fitting library for PyTorch. MIT - Objax (🥉19 · ⭐ 770 · 💀) - Objax is a machine learning framework that provides an Object.. Apache-2 - elegy (🥉19 · ⭐ 480 · 💀) - A High Level API for Deep Learning in JAX. MIT - StarSpace (🥉16 · ⭐ 4K · 💀) - Learning embeddings for classification, retrieval and ranking. MIT - nanodl (🥉13 · ⭐ 290 · 💤) - A Jax-based library for building transformers, includes.. MIT

Data Visualization

General-purpose and task-specific data visualization libraries.

Matplotlib (🥇49 · ⭐ 21K) - matplotlib: plotting with Python. ❗Unlicensed

- [GitHub](https://github.com/matplotlib/matplotlib) (👨‍💻 1.8K · 🔀 7.9K · 📦 1.8M · 📋 11K - 14% open · ⏱️ 21.05.2025):

git clone https://github.com/matplotlib/matplotlib

- [PyPi](https://pypi.org/project/matplotlib) (📥 87M / month · 📦 60K · ⏱️ 08.05.2025):

pip install matplotlib

- [Conda](https://anaconda.org/conda-forge/matplotlib) (📥 30M · ⏱️ 15.05.2025):

conda install -c conda-forge matplotlib

dash (🥇46 · ⭐ 22K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT

- [GitHub](https://github.com/plotly/dash) (👨‍💻 180 · 🔀 2.1K · 📥 88 · 📦 86K · 📋 2K - 27% open · ⏱️ 06.05.2025):

git clone https://github.com/plotly/dash

- [PyPi](https://pypi.org/project/dash) (📥 5.1M / month · 📦 1.6K · ⏱️ 24.04.2025):

pip install dash

- [Conda](https://anaconda.org/conda-forge/dash) (📥 1.8M · ⏱️ 27.04.2025):

conda install -c conda-forge dash

Plotly (🥇46 · ⭐ 17K) - The interactive graphing library for Python. MIT

- [GitHub](https://github.com/plotly/plotly.py) (👨‍💻 290 · 🔀 2.6K · 📥 240 · 📦 430K · 📋 3.2K - 20% open · ⏱️ 20.05.2025):

git clone https://github.com/plotly/plotly.py

- [PyPi](https://pypi.org/project/plotly) (📥 24M / month · 📦 8.3K · ⏱️ 20.05.2025):

pip install plotly

- [Conda](https://anaconda.org/conda-forge/plotly) (📥 9.6M · ⏱️ 21.05.2025):

conda install -c conda-forge plotly

- [npm](https://www.npmjs.com/package/plotlywidget) (📥 44K / month · 📦 9 · ⏱️ 12.01.2021):

npm install plotlywidget

Bokeh (🥇45 · ⭐ 20K) - Interactive Data Visualization in the browser, from Python. BSD-3

- [GitHub](https://github.com/bokeh/bokeh) (👨‍💻 710 · 🔀 4.2K · 📦 100K · 📋 8K - 10% open · ⏱️ 22.05.2025):

git clone https://github.com/bokeh/bokeh

- [PyPi](https://pypi.org/project/bokeh) (📥 3.4M / month · 📦 2K · ⏱️ 12.05.2025):

pip install bokeh

- [Conda](https://anaconda.org/conda-forge/bokeh) (📥 17M · ⏱️ 12.05.2025):

conda install -c conda-forge bokeh

Seaborn (🥇43 · ⭐ 13K · 📈) - Statistical data visualization in Python. BSD-3

- [GitHub](https://github.com/mwaskom/seaborn) (👨‍💻 220 · 🔀 1.9K · 📥 470 · 📦 670K · 📋 2.6K - 6% open · ⏱️ 26.01.2025):

git clone https://github.com/mwaskom/seaborn

- [PyPi](https://pypi.org/project/seaborn) (📥 24M / month · 📦 11K · ⏱️ 25.01.2024):

pip install seaborn

- [Conda](https://anaconda.org/conda-forge/seaborn) (📥 13M · ⏱️ 22.04.2025):

conda install -c conda-forge seaborn

Altair (🥇40 · ⭐ 9.8K · 📉) - Declarative visualization library for Python. BSD-3

- [GitHub](https://github.com/vega/altair) (👨‍💻 180 · 🔀 800 · 📥 230 · 📦 230K · 📋 2.1K - 6% open · ⏱️ 22.04.2025):

git clone https://github.com/altair-viz/altair

- [PyPi](https://pypi.org/project/altair) (📥 29M / month · 📦 920 · ⏱️ 23.11.2024):

pip install altair

- [Conda](https://anaconda.org/conda-forge/altair) (📥 2.7M · ⏱️ 22.04.2025):

conda install -c conda-forge altair

FiftyOne (🥈39 · ⭐ 9.5K) - Visualize, create, and debug image and video datasets.. Apache-2

- [GitHub](https://github.com/voxel51/fiftyone) (👨‍💻 150 · 🔀 630 · 📦 980 · 📋 1.7K - 33% open · ⏱️ 21.05.2025):

git clone https://github.com/voxel51/fiftyone

- [PyPi](https://pypi.org/project/fiftyone) (📥 110K / month · 📦 27 · ⏱️ 09.05.2025):

pip install fiftyone

PyVista (🥈39 · ⭐ 3.1K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT

- [GitHub](https://github.com/pyvista/pyvista) (👨‍💻 180 · 🔀 560 · 📥 890 · 📦 4.8K · 📋 1.9K - 36% open · ⏱️ 22.05.2025):

git clone https://github.com/pyvista/pyvista

- [PyPi](https://pypi.org/project/pyvista) (📥 470K / month · 📦 710 · ⏱️ 13.05.2025):

pip install pyvista

- [Conda](https://anaconda.org/conda-forge/pyvista) (📥 690K · ⏱️ 13.05.2025):

conda install -c conda-forge pyvista

pandas-profiling (🥈38 · ⭐ 13K) - 1 Line of code data quality profiling & exploratory.. MIT

- [GitHub](https://github.com/ydataai/ydata-profiling) (👨‍💻 140 · 🔀 1.7K · 📥 320 · 📦 6.6K · 📋 840 - 30% open · ⏱️ 26.03.2025):

git clone https://github.com/ydataai/pandas-profiling

- [PyPi](https://pypi.org/project/pandas-profiling) (📥 360K / month · 📦 180 · ⏱️ 03.02.2023):

pip install pandas-profiling

- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (📥 510K · ⏱️ 22.04.2025):

conda install -c conda-forge pandas-profiling

HoloViews (🥈38 · ⭐ 2.8K · 📈) - With Holoviews, your data visualizes itself. BSD-3

- [GitHub](https://github.com/holoviz/holoviews) (👨‍💻 150 · 🔀 410 · 📦 16K · 📋 3.4K - 31% open · ⏱️ 21.05.2025):

git clone https://github.com/holoviz/holoviews

- [PyPi](https://pypi.org/project/holoviews) (📥 500K / month · 📦 430 · ⏱️ 31.03.2025):

pip install holoviews

- [Conda](https://anaconda.org/conda-forge/holoviews) (📥 2.1M · ⏱️ 22.04.2025):

conda install -c conda-forge holoviews

- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (📥 170 / month · 📦 5 · ⏱️ 14.01.2025):

npm install @pyviz/jupyterlab_pyviz

pyecharts (🥈37 · ⭐ 15K) - Python Echarts Plotting Library. MIT

- [GitHub](https://github.com/pyecharts/pyecharts) (👨‍💻 45 · 🔀 2.9K · 📥 73 · 📦 5.4K · 📋 1.9K - 0% open · ⏱️ 26.01.2025):

git clone https://github.com/pyecharts/pyecharts

- [PyPi](https://pypi.org/project/pyecharts) (📥 250K / month · 📦 220 · ⏱️ 24.01.2025):

pip install pyecharts

PyQtGraph (🥈37 · ⭐ 4.1K) - Fast data visualization and GUI tools for scientific / engineering.. MIT

- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (👨‍💻 300 · 🔀 1.1K · 📦 12K · 📋 1.4K - 32% open · ⏱️ 08.04.2025):

git clone https://github.com/pyqtgraph/pyqtgraph

- [PyPi](https://pypi.org/project/pyqtgraph) (📥 400K / month · 📦 1K · ⏱️ 29.04.2024):

pip install pyqtgraph

- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (📥 710K · ⏱️ 22.04.2025):

conda install -c conda-forge pyqtgraph

plotnine (🥈36 · ⭐ 4.2K) - A Grammar of Graphics for Python. MIT

- [GitHub](https://github.com/has2k1/plotnine) (👨‍💻 110 · 🔀 230 · 📦 12K · 📋 720 - 10% open · ⏱️ 22.05.2025):

git clone https://github.com/has2k1/plotnine

- [PyPi](https://pypi.org/project/plotnine) (📥 2.5M / month · 📦 380 · ⏱️ 19.05.2025):

pip install plotnine

- [Conda](https://anaconda.org/conda-forge/plotnine) (📥 470K · ⏱️ 22.04.2025):

conda install -c conda-forge plotnine

Graphviz (🥈36 · ⭐ 1.7K · 💤) - Simple Python interface for Graphviz. MIT

- [GitHub](https://github.com/xflr6/graphviz) (👨‍💻 23 · 🔀 210 · 📦 91K · 📋 190 - 6% open · ⏱️ 13.05.2024):

git clone https://github.com/xflr6/graphviz

- [PyPi](https://pypi.org/project/graphviz) (📥 24M / month · 📦 2.9K · ⏱️ 21.03.2024):

pip install graphviz

- [Conda](https://anaconda.org/anaconda/python-graphviz) (📥 54K · ⏱️ 22.04.2025):

conda install -c anaconda python-graphviz

VisPy (🥈35 · ⭐ 3.4K) - High-performance interactive 2D/3D data visualization library. BSD-3

- [GitHub](https://github.com/vispy/vispy) (👨‍💻 200 · 🔀 620 · 📦 2K · 📋 1.5K - 25% open · ⏱️ 20.05.2025):

git clone https://github.com/vispy/vispy

- [PyPi](https://pypi.org/project/vispy) (📥 160K / month · 📦 200 · ⏱️ 19.05.2025):

pip install vispy

- [Conda](https://anaconda.org/conda-forge/vispy) (📥 810K · ⏱️ 19.05.2025):

conda install -c conda-forge vispy

- [npm](https://www.npmjs.com/package/vispy) (📥 21 / month · 📦 3 · ⏱️ 15.03.2020):

npm install vispy

Perspective (🥈34 · ⭐ 9.2K) - A data visualization and analytics component, especially.. Apache-2

- [GitHub](https://github.com/finos/perspective) (👨‍💻 100 · 🔀 1.2K · 📥 11K · 📦 180 · 📋 880 - 12% open · ⏱️ 15.05.2025):

git clone https://github.com/finos/perspective

- [PyPi](https://pypi.org/project/perspective-python) (📥 18K / month · 📦 30 · ⏱️ 01.05.2025):

pip install perspective-python

- [Conda](https://anaconda.org/conda-forge/perspective) (📥 2.1M · ⏱️ 07.05.2025):

conda install -c conda-forge perspective

- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (📥 360 / month · 📦 6 · ⏱️ 01.05.2025):

npm install @finos/perspective-jupyterlab

cartopy (🥈34 · ⭐ 1.5K) - Cartopy - a cartographic python library with matplotlib support. BSD-3

- [GitHub](https://github.com/SciTools/cartopy) (👨‍💻 140 · 🔀 380 · 📦 7.6K · 📋 1.3K - 24% open · ⏱️ 15.05.2025):

git clone https://github.com/SciTools/cartopy

- [PyPi](https://pypi.org/project/cartopy) (📥 520K / month · 📦 720 · ⏱️ 08.10.2024):

pip install cartopy

- [Conda](https://anaconda.org/conda-forge/cartopy) (📥 4.8M · ⏱️ 22.04.2025):

conda install -c conda-forge cartopy

UMAP (🥈33 · ⭐ 7.8K) - Uniform Manifold Approximation and Projection. BSD-3

- [GitHub](https://github.com/lmcinnes/umap) (👨‍💻 140 · 🔀 830 · 📦 1 · 📋 850 - 59% open · ⏱️ 12.05.2025):

git clone https://github.com/lmcinnes/umap

- [PyPi](https://pypi.org/project/umap-learn) (📥 1.5M / month · 📦 1.1K · ⏱️ 28.10.2024):

pip install umap-learn

- [Conda](https://anaconda.org/conda-forge/umap-learn) (📥 3M · ⏱️ 22.04.2025):

conda install -c conda-forge umap-learn

datashader (🥈33 · ⭐ 3.4K) - Quickly and accurately render even the largest data. BSD-3

- [GitHub](https://github.com/holoviz/datashader) (👨‍💻 62 · 🔀 370 · 📦 6.1K · 📋 600 - 23% open · ⏱️ 08.05.2025):

git clone https://github.com/holoviz/datashader

- [PyPi](https://pypi.org/project/datashader) (📥 180K / month · 📦 250 · ⏱️ 08.05.2025):

pip install datashader

- [Conda](https://anaconda.org/conda-forge/datashader) (📥 1.5M · ⏱️ 08.05.2025):

conda install -c conda-forge datashader

lets-plot (🥈33 · ⭐ 1.7K) - Multiplatform plotting library based on the Grammar of Graphics. MIT

- [GitHub](https://github.com/JetBrains/lets-plot) (👨‍💻 21 · 🔀 53 · 📥 3.2K · 📦 180 · 📋 690 - 23% open · ⏱️ 21.05.2025):

git clone https://github.com/JetBrains/lets-plot

- [PyPi](https://pypi.org/project/lets-plot) (📥 98K / month · 📦 15 · ⏱️ 28.03.2025):

pip install lets-plot

wordcloud (🥈32 · ⭐ 10K) - A little word cloud generator in Python. MIT

- [GitHub](https://github.com/amueller/word_cloud) (👨‍💻 73 · 🔀 2.3K · 📦 21 · 📋 560 - 24% open · ⏱️ 12.04.2025):

git clone https://github.com/amueller/word_cloud

- [PyPi](https://pypi.org/project/wordcloud) (📥 1.8M / month · 📦 550 · ⏱️ 10.11.2024):

pip install wordcloud

- [Conda](https://anaconda.org/conda-forge/wordcloud) (📥 670K · ⏱️ 22.04.2025):

conda install -c conda-forge wordcloud

hvPlot (🥈32 · ⭐ 1.2K) - A high-level plotting API for pandas, dask, xarray, and networkx built.. BSD-3

- [GitHub](https://github.com/holoviz/hvplot) (👨‍💻 51 · 🔀 110 · 📦 7.1K · 📋 900 - 42% open · ⏱️ 21.05.2025):

git clone https://github.com/holoviz/hvplot

- [PyPi](https://pypi.org/project/hvplot) (📥 210K / month · 📦 240 · ⏱️ 30.04.2025):

pip install hvplot

- [Conda](https://anaconda.org/conda-forge/hvplot) (📥 770K · ⏱️ 01.05.2025):

conda install -c conda-forge hvplot

mpld3 (🥉31 · ⭐ 2.4K · 💤) - An interactive data visualization tool which brings matplotlib.. BSD-3

- [GitHub](https://github.com/mpld3/mpld3) (👨‍💻 53 · 🔀 360 · 📦 7.4K · 📋 370 - 59% open · ⏱️ 30.10.2024):

git clone https://github.com/mpld3/mpld3

- [PyPi](https://pypi.org/project/mpld3) (📥 350K / month · 📦 150 · ⏱️ 23.12.2023):

pip install mpld3

- [Conda](https://anaconda.org/conda-forge/mpld3) (📥 230K · ⏱️ 22.04.2025):

conda install -c conda-forge mpld3

- [npm](https://www.npmjs.com/package/mpld3) (📥 1.2K / month · 📦 9 · ⏱️ 23.12.2023):

npm install mpld3

D-Tale (🥉30 · ⭐ 4.9K) - Visualizer for pandas data structures. ❗️LGPL-2.1

- [GitHub](https://github.com/man-group/dtale) (👨‍💻 30 · 🔀 420 · 📦 1.5K · 📋 610 - 11% open · ⏱️ 20.03.2025):

git clone https://github.com/man-group/dtale

- [PyPi](https://pypi.org/project/dtale) (📥 140K / month · 📦 53 · ⏱️ 20.03.2025):

pip install dtale

- [Conda](https://anaconda.org/conda-forge/dtale) (📥 430K · ⏱️ 22.04.2025):

conda install -c conda-forge dtale

bqplot (🥉30 · ⭐ 3.7K · 💤) - Plotting library for IPython/Jupyter notebooks. Apache-2

- [GitHub](https://github.com/bqplot/bqplot) (👨‍💻 65 · 🔀 470 · 📦 61 · 📋 640 - 42% open · ⏱️ 22.10.2024):

git clone https://github.com/bqplot/bqplot

- [PyPi](https://pypi.org/project/bqplot) (📥 210K / month · 📦 110 · ⏱️ 21.05.2025):

pip install bqplot

- [Conda](https://anaconda.org/conda-forge/bqplot) (📥 1.6M · ⏱️ 22.04.2025):

conda install -c conda-forge bqplot

- [npm](https://www.npmjs.com/package/bqplot) (📥 1.6K / month · 📦 21 · ⏱️ 24.12.2024):

npm install bqplot

HyperTools (🥉27 · ⭐ 1.8K) - A Python toolbox for gaining geometric insights into high-dimensional.. MIT

- [GitHub](https://github.com/ContextLab/hypertools) (👨‍💻 23 · 🔀 160 · 📥 71 · 📦 500 · 📋 200 - 34% open · ⏱️ 24.04.2025):

git clone https://github.com/ContextLab/hypertools

- [PyPi](https://pypi.org/project/hypertools) (📥 400 / month · 📦 2 · ⏱️ 12.02.2022):

pip install hypertools

AutoViz (🥉27 · ⭐ 1.8K · 💤) - Automatically Visualize any dataset, any size with a single line.. Apache-2

- [GitHub](https://github.com/AutoViML/AutoViz) (👨‍💻 17 · 🔀 200 · 📦 870 · 📋 98 - 2% open · ⏱️ 10.06.2024):

git clone https://github.com/AutoViML/AutoViz

- [PyPi](https://pypi.org/project/autoviz) (📥 15K / month · 📦 11 · ⏱️ 10.06.2024):

pip install autoviz

- [Conda](https://anaconda.org/conda-forge/autoviz) (📥 86K · ⏱️ 22.04.2025):

conda install -c conda-forge autoviz

openTSNE (🥉27 · ⭐ 1.5K · 💤) - Extensible, parallel implementations of t-SNE. BSD-3

- [GitHub](https://github.com/pavlin-policar/openTSNE) (👨‍💻 13 · 🔀 170 · 📦 1.1K · 📋 140 - 9% open · ⏱️ 24.10.2024):

git clone https://github.com/pavlin-policar/openTSNE

- [PyPi](https://pypi.org/project/opentsne) (📥 39K / month · 📦 47 · ⏱️ 13.08.2024):

pip install opentsne

- [Conda](https://anaconda.org/conda-forge/opentsne) (📥 440K · ⏱️ 22.04.2025):

conda install -c conda-forge opentsne

Plotly-Resampler (🥉27 · ⭐ 1.1K) - Visualize large time series data with plotly.py. MIT

- [GitHub](https://github.com/predict-idlab/plotly-resampler) (👨‍💻 14 · 🔀 72 · 📦 2K · 📋 180 - 32% open · ⏱️ 07.04.2025):

git clone https://github.com/predict-idlab/plotly-resampler

- [PyPi](https://pypi.org/project/plotly-resampler) (📥 470K / month · 📦 31 · ⏱️ 07.04.2025):

pip install plotly-resampler

- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (📥 110K · ⏱️ 22.04.2025):

conda install -c conda-forge plotly-resampler

Chartify (🥉25 · ⭐ 3.6K · 💤) - Python library that makes it easy for data scientists to create.. Apache-2

- [GitHub](https://github.com/spotify/chartify) (👨‍💻 27 · 🔀 320 · 📦 83 · 📋 83 - 61% open · ⏱️ 16.10.2024):

git clone https://github.com/spotify/chartify

- [PyPi](https://pypi.org/project/chartify) (📥 1.2K / month · 📦 9 · ⏱️ 16.10.2024):

pip install chartify

- [Conda](https://anaconda.org/conda-forge/chartify) (📥 38K · ⏱️ 22.04.2025):

conda install -c conda-forge chartify

data-validation (🥉25 · ⭐ 770) - Library for exploring and validating machine learning.. Apache-2

- [GitHub](https://github.com/tensorflow/data-validation) (👨‍💻 27 · 🔀 180 · 📥 980 · 📋 190 - 20% open · ⏱️ 12.05.2025):

git clone https://github.com/tensorflow/data-validation

- [PyPi](https://pypi.org/project/tensorflow-data-validation) (📥 140K / month · 📦 31 · ⏱️ 15.10.2024):

pip install tensorflow-data-validation

python-ternary (🥉25 · ⭐ 760 · 💤) - Ternary plotting library for python with matplotlib. MIT

- [GitHub](https://github.com/marcharper/python-ternary) (👨‍💻 28 · 🔀 160 · 📥 36 · 📦 220 · 📋 140 - 24% open · ⏱️ 12.06.2024):

git clone https://github.com/marcharper/python-ternary

- [PyPi](https://pypi.org/project/python-ternary) (📥 17K / month · 📦 32 · ⏱️ 17.02.2021):

pip install python-ternary

- [Conda](https://anaconda.org/conda-forge/python-ternary) (📥 100K · ⏱️ 22.04.2025):

conda install -c conda-forge python-ternary

PyWaffle (🥉22 · ⭐ 600 · 💤) - Make Waffle Charts in Python. MIT

- [GitHub](https://github.com/gyli/PyWaffle) (👨‍💻 6 · 🔀 110 · 📦 530 · 📋 22 - 27% open · ⏱️ 16.06.2024):

git clone https://github.com/gyli/PyWaffle

- [PyPi](https://pypi.org/project/pywaffle) (📥 14K / month · 📦 6 · ⏱️ 16.06.2024):

pip install pywaffle

- [Conda](https://anaconda.org/conda-forge/pywaffle) (📥 16K · ⏱️ 22.04.2025):

conda install -c conda-forge pywaffle

vega (🥉22 · ⭐ 380) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3

- [GitHub](https://github.com/vega/ipyvega) (👨‍💻 15 · 🔀 65 · 📦 4 · 📋 110 - 14% open · ⏱️ 01.01.2025):

git clone https://github.com/vega/ipyvega

- [PyPi](https://pypi.org/project/vega) (📥 18K / month · 📦 17 · ⏱️ 25.09.2024):

pip install vega

- [Conda](https://anaconda.org/conda-forge/vega) (📥 740K · ⏱️ 22.04.2025):

conda install -c conda-forge vega

Popmon (🥉20 · ⭐ 500) - Monitor the stability of a Pandas or Spark dataframe. MIT

- [GitHub](https://github.com/ing-bank/popmon) (👨‍💻 19 · 🔀 36 · 📥 260 · 📦 22 · 📋 57 - 28% open · ⏱️ 24.01.2025):

git clone https://github.com/ing-bank/popmon

- [PyPi](https://pypi.org/project/popmon) (📥 7.2K / month · 📦 4 · ⏱️ 24.01.2025):

pip install popmon

vegafusion (🥉20 · ⭐ 360) - Serverside scaling for Vega and Altair visualizations. BSD-3

- [GitHub](https://github.com/vega/vegafusion) (👨‍💻 6 · 🔀 20 · 📥 13K · 📋 140 - 36% open · ⏱️ 23.02.2025):

git clone https://github.com/vegafusion/vegafusion

- [PyPi](https://pypi.org/project/vegafusion-jupyter) (📥 1.4K / month · 📦 2 · ⏱️ 09.05.2024):

pip install vegafusion-jupyter

- [Conda](https://anaconda.org/conda-forge/vegafusion-python-embed) (📥 440K · ⏱️ 22.04.2025):

conda install -c conda-forge vegafusion-python-embed

- [npm](https://www.npmjs.com/package/vegafusion-jupyter) (📥 62 / month · 📦 3 · ⏱️ 09.05.2024):

npm install vegafusion-jupyter

animatplot (🥉19 · ⭐ 420 · 💤) - A python package for animating plots build on matplotlib. MIT

- [GitHub](https://github.com/t-makaro/animatplot) (👨‍💻 6 · 🔀 38 · 📦 76 · 📋 37 - 45% open · ⏱️ 29.08.2024):

git clone https://github.com/t-makaro/animatplot

- [PyPi](https://pypi.org/project/animatplot) (📥 200 / month · 📦 4 · ⏱️ 29.08.2024):

pip install animatplot

- [Conda](https://anaconda.org/conda-forge/animatplot) (📥 17K · ⏱️ 22.04.2025):

conda install -c conda-forge animatplot

ivis (🥉18 · ⭐ 330 · 💤) - Dimensionality reduction in very large datasets using Siamese.. Apache-2

- [GitHub](https://github.com/beringresearch/ivis) (👨‍💻 10 · 🔀 43 · 📦 38 · 📋 60 - 5% open · ⏱️ 29.09.2024):

git clone https://github.com/beringresearch/ivis

- [PyPi](https://pypi.org/project/ivis) (📥 860 / month · 📦 2 · ⏱️ 13.06.2024):

pip install ivis

Show 17 hidden projects...

- missingno (🥉30 · ⭐ 4.1K · 💀) - Missing data visualization module for Python. MIT - Cufflinks (🥉28 · ⭐ 3.1K · 💀) - Productivity Tools for Plotly + Pandas. MIT - pythreejs (🥉28 · ⭐ 970 · 💀) - A Jupyter - Three.js bridge. BSD-3 - Facets Overview (🥉27 · ⭐ 7.4K · 💀) - Visualizations for machine learning datasets. Apache-2 - Sweetviz (🥉27 · ⭐ 3K · 💀) - Visualize and compare datasets, target values and associations, with.. MIT - HiPlot (🥉25 · ⭐ 2.8K · 💀) - HiPlot makes understanding high dimensional data easy. MIT - PandasGUI (🥉24 · ⭐ 3.2K · 💀) - A GUI for Pandas DataFrames. ❗️MIT-0 - Multicore-TSNE (🥉24 · ⭐ 1.9K · 💀) - Parallel t-SNE implementation with Python and Torch.. BSD-3 - ridgeplot (🥉24 · ⭐ 230) - Beautiful ridgeline plots in Python. MIT - Pandas-Bokeh (🥉22 · ⭐ 880 · 💀) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT - pivottablejs (🥉22 · ⭐ 700 · 💀) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT - joypy (🥉22 · ⭐ 590 · 💀) - Joyplots in Python with matplotlib & pandas. MIT - PDPbox (🥉21 · ⭐ 850 · 💀) - python partial dependence plot toolbox. MIT - pdvega (🥉16 · ⭐ 340 · 💀) - Interactive plotting for Pandas using Vega-Lite. MIT - data-describe (🥉15 · ⭐ 300 · 💀) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2 - nx-altair (🥉15 · ⭐ 220 · 💀) - Draw interactive NetworkX graphs with Altair. MIT - nptsne (🥉13 · ⭐ 33 · 💀) - nptsne is a numpy compatible python binary package that offers a.. Apache-2

Text Data & NLP

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 (🥇54 · ⭐ 140K) - Transformers: State-of-the-art Machine Learning for.. Apache-2

- [GitHub](https://github.com/huggingface/transformers) (👨‍💻 3.3K · 🔀 29K · 📦 370K · 📋 18K - 9% open · ⏱️ 22.05.2025):

git clone https://github.com/huggingface/transformers

- [PyPi](https://pypi.org/project/transformers) (📥 62M / month · 📦 8.8K · ⏱️ 21.05.2025):

pip install transformers

- [Conda](https://anaconda.org/conda-forge/transformers) (📥 2.8M · ⏱️ 21.05.2025):

conda install -c conda-forge transformers

nltk (🥇45 · ⭐ 14K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2

- [GitHub](https://github.com/nltk/nltk) (👨‍💻 470 · 🔀 2.9K · 📦 390K · 📋 1.9K - 14% open · ⏱️ 02.05.2025):

git clone https://github.com/nltk/nltk

- [PyPi](https://pypi.org/project/nltk) (📥 35M / month · 📦 5.6K · ⏱️ 18.08.2024):

pip install nltk

- [Conda](https://anaconda.org/conda-forge/nltk) (📥 3.2M · ⏱️ 22.04.2025):

conda install -c conda-forge nltk

spaCy (🥇44 · ⭐ 32K · 📈) - Industrial-strength Natural Language Processing (NLP) in Python. MIT

- [GitHub](https://github.com/explosion/spaCy) (👨‍💻 760 · 🔀 4.5K · 📥 2.7K · 📦 130K · 📋 5.8K - 3% open · ⏱️ 22.05.2025):

git clone https://github.com/explosion/spaCy

- [PyPi](https://pypi.org/project/spacy) (📥 19M / month · 📦 3.2K · ⏱️ 19.05.2025):

pip install spacy

- [Conda](https://anaconda.org/conda-forge/spacy) (📥 5.8M · ⏱️ 20.05.2025):

conda install -c conda-forge spacy

litellm (🥇44 · ⭐ 23K) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s

- [GitHub](https://github.com/BerriAI/litellm) (👨‍💻 550 · 🔀 3K · 📥 670 · 📦 13K · 📋 5.8K - 22% open · ⏱️ 22.05.2025):

git clone https://github.com/BerriAI/litellm

- [PyPi](https://pypi.org/project/litellm) (📥 8.9M / month · 📦 1.2K · ⏱️ 21.05.2025):

pip install litellm

sentence-transformers (🥇43 · ⭐ 17K) - State-of-the-Art Text Embeddings. Apache-2

- [GitHub](https://github.com/UKPLab/sentence-transformers) (👨‍💻 220 · 🔀 2.6K · 📦 110K · 📋 2.4K - 52% open · ⏱️ 14.05.2025):

git clone https://github.com/UKPLab/sentence-transformers

- [PyPi](https://pypi.org/project/sentence-transformers) (📥 9.3M / month · 📦 2.4K · ⏱️ 15.04.2025):

pip install sentence-transformers

- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (📥 720K · ⏱️ 22.04.2025):

conda install -c conda-forge sentence-transformers

gensim (🥇40 · ⭐ 16K) - Topic Modelling for Humans. ❗️LGPL-2.1

- [GitHub](https://github.com/piskvorky/gensim) (👨‍💻 460 · 🔀 4.4K · 📥 6K · 📦 76K · 📋 1.9K - 21% open · ⏱️ 14.02.2025):

git clone https://github.com/RaRe-Technologies/gensim

- [PyPi](https://pypi.org/project/gensim) (📥 4.9M / month · 📦 1.4K · ⏱️ 19.07.2024):

pip install gensim

- [Conda](https://anaconda.org/conda-forge/gensim) (📥 1.6M · ⏱️ 22.04.2025):

conda install -c conda-forge gensim

flair (🥇40 · ⭐ 14K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT

- [GitHub](https://github.com/flairNLP/flair) (👨‍💻 280 · 🔀 2.1K · 📦 4K · 📋 2.4K - 3% open · ⏱️ 27.04.2025):

git clone https://github.com/flairNLP/flair

- [PyPi](https://pypi.org/project/flair) (📥 100K / month · 📦 150 · ⏱️ 05.02.2025):

pip install flair

- [Conda](https://anaconda.org/conda-forge/python-flair) (📥 43K · ⏱️ 22.04.2025):

conda install -c conda-forge python-flair

Rasa (🥇39 · ⭐ 20K) - Open source machine learning framework to automate text- and voice-.. Apache-2

- [GitHub](https://github.com/RasaHQ/rasa) (👨‍💻 590 · 🔀 4.8K · 📦 5.3K · 📋 6.8K - 2% open · ⏱️ 14.01.2025):

git clone https://github.com/RasaHQ/rasa

- [PyPi](https://pypi.org/project/rasa) (📥 130K / month · 📦 60 · ⏱️ 14.01.2025):

pip install rasa

haystack (🥇38 · ⭐ 21K) - AI orchestration framework to build customizable, production-ready.. Apache-2

- [GitHub](https://github.com/deepset-ai/haystack) (👨‍💻 290 · 🔀 2.2K · 📦 1.2K · 📋 3.9K - 3% open · ⏱️ 22.05.2025):

git clone https://github.com/deepset-ai/haystack

- [PyPi](https://pypi.org/project/haystack) (📥 6.2K / month · 📦 5 · ⏱️ 15.12.2021):

pip install haystack

NeMo (🥇38 · ⭐ 15K) - A scalable generative AI framework built for researchers and.. Apache-2

- [GitHub](https://github.com/NVIDIA/NeMo) (👨‍💻 420 · 🔀 2.8K · 📥 380K · 📦 21 · 📋 2.6K - 5% open · ⏱️ 21.05.2025):

git clone https://github.com/NVIDIA/NeMo

- [PyPi](https://pypi.org/project/nemo-toolkit) (📥 180K / month · 📦 14 · ⏱️ 08.05.2025):

pip install nemo-toolkit

ChatterBot (🥇38 · ⭐ 14K) - ChatterBot is a machine learning, conversational dialog engine for.. BSD-3

- [GitHub](https://github.com/gunthercox/ChatterBot) (👨‍💻 110 · 🔀 4.5K · 📦 6.4K · 📋 1.7K - 8% open · ⏱️ 20.05.2025):

git clone https://github.com/gunthercox/ChatterBot

- [PyPi](https://pypi.org/project/chatterbot) (📥 27K / month · 📦 18 · ⏱️ 05.04.2025):

pip install chatterbot

sentencepiece (🥇38 · ⭐ 11K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2

- [GitHub](https://github.com/google/sentencepiece) (👨‍💻 92 · 🔀 1.2K · 📥 57K · 📦 110K · 📋 780 - 6% open · ⏱️ 26.02.2025):

git clone https://github.com/google/sentencepiece

- [PyPi](https://pypi.org/project/sentencepiece) (📥 28M / month · 📦 1.7K · ⏱️ 19.02.2024):

pip install sentencepiece

- [Conda](https://anaconda.org/conda-forge/sentencepiece) (📥 1.5M · ⏱️ 22.04.2025):

conda install -c conda-forge sentencepiece

Tokenizers (🥇38 · ⭐ 9.7K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2

- [GitHub](https://github.com/huggingface/tokenizers) (👨‍💻 110 · 🔀 880 · 📥 74 · 📦 170K · 📋 1.1K - 7% open · ⏱️ 18.03.2025):

git clone https://github.com/huggingface/tokenizers

- [PyPi](https://pypi.org/project/tokenizers) (📥 56M / month · 📦 1.3K · ⏱️ 13.03.2025):

pip install tokenizers

- [Conda](https://anaconda.org/conda-forge/tokenizers) (📥 3M · ⏱️ 22.04.2025):

conda install -c conda-forge tokenizers

TextBlob (🥇38 · ⭐ 9.3K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT

- [GitHub](https://github.com/sloria/TextBlob) (👨‍💻 37 · 🔀 1.2K · 📥 130 · 📦 58K · 📋 280 - 25% open · ⏱️ 19.05.2025):

git clone https://github.com/sloria/TextBlob

- [PyPi](https://pypi.org/project/textblob) (📥 1.4M / month · 📦 400 · ⏱️ 13.01.2025):

pip install textblob

- [Conda](https://anaconda.org/conda-forge/textblob) (📥 290K · ⏱️ 22.04.2025):

conda install -c conda-forge textblob

fairseq (🥈37 · ⭐ 31K · 💤) - Facebook AI Research Sequence-to-Sequence Toolkit written in.. MIT

- [GitHub](https://github.com/facebookresearch/fairseq) (👨‍💻 430 · 🔀 6.5K · 📥 410 · 📦 4.3K · 📋 4.4K - 30% open · ⏱️ 18.10.2024):

git clone https://github.com/facebookresearch/fairseq

- [PyPi](https://pypi.org/project/fairseq) (📥 91K / month · 📦 120 · ⏱️ 27.06.2022):

pip install fairseq

- [Conda](https://anaconda.org/conda-forge/fairseq) (📥 140K · ⏱️ 22.04.2025):

conda install -c conda-forge fairseq

spark-nlp (🥈36 · ⭐ 4K) - State of the Art Natural Language Processing. Apache-2

- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (👨‍💻 110 · 🔀 720 · 📦 600 · 📋 910 - 2% open · ⏱️ 15.05.2025):

git clone https://github.com/JohnSnowLabs/spark-nlp

- [PyPi](https://pypi.org/project/spark-nlp) (📥 4.2M / month · 📦 37 · ⏱️ 14.05.2025):

pip install spark-nlp

qdrant (🥈35 · ⭐ 24K) - Qdrant - High-performance, massive-scale Vector Database and Vector.. Apache-2

- [GitHub](https://github.com/qdrant/qdrant) (👨‍💻 130 · 🔀 1.6K · 📥 400K · 📦 120 · 📋 1.5K - 23% open · ⏱️ 16.05.2025):

git clone https://github.com/qdrant/qdrant

TensorFlow Text (🥈35 · ⭐ 1.3K · 📉) - Making text a first-class citizen in TensorFlow. Apache-2

- [GitHub](https://github.com/tensorflow/text) (👨‍💻 180 · 🔀 350 · 📦 9.6K · 📋 370 - 52% open · ⏱️ 24.03.2025):

git clone https://github.com/tensorflow/text

- [PyPi](https://pypi.org/project/tensorflow-text) (📥 6.5M / month · 📦 230 · ⏱️ 04.04.2025):

pip install tensorflow-text

snowballstemmer (🥈34 · ⭐ 790) - Snowball compiler and stemming algorithms. BSD-3

- [GitHub](https://github.com/snowballstem/snowball) (👨‍💻 36 · 🔀 180 · 📦 10 · 📋 100 - 15% open · ⏱️ 22.05.2025):

git clone https://github.com/snowballstem/snowball

- [PyPi](https://pypi.org/project/snowballstemmer) (📥 22M / month · 📦 550 · ⏱️ 09.05.2025):

pip install snowballstemmer

- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (📥 9.8M · ⏱️ 20.05.2025):

conda install -c conda-forge snowballstemmer

Opik (🥈33 · ⭐ 8.6K) - Debug, evaluate, and monitor your LLM applications, RAG systems, and.. Apache-2

- [GitHub](https://github.com/comet-ml/opik) (👨‍💻 51 · 🔀 570 · 📥 12 · 📦 9 · 📋 310 - 28% open · ⏱️ 22.05.2025):

git clone https://github.com/comet-ml/opik

- [PyPi](https://pypi.org/project/opik) (📥 230K / month · 📦 14 · ⏱️ 22.05.2025):

pip install opik

stanza (🥈33 · ⭐ 7.5K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2

- [GitHub](https://github.com/stanfordnlp/stanza) (👨‍💻 68 · 🔀 900 · 📦 3.9K · 📋 930 - 10% open · ⏱️ 24.12.2024):

git clone https://github.com/stanfordnlp/stanza

- [PyPi](https://pypi.org/project/stanza) (📥 390K / month · 📦 200 · ⏱️ 24.12.2024):

pip install stanza

- [Conda](https://anaconda.org/stanfordnlp/stanza) (📥 8.7K · ⏱️ 25.03.2025):

conda install -c stanfordnlp stanza

OpenNMT (🥈33 · ⭐ 6.9K · 💤) - Open Source Neural Machine Translation and (Large) Language.. MIT

- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (👨‍💻 190 · 🔀 2.3K · 📦 340 · 📋 1.5K - 2% open · ⏱️ 27.06.2024):

git clone https://github.com/OpenNMT/OpenNMT-py

- [PyPi](https://pypi.org/project/OpenNMT-py) (📥 15K / month · 📦 23 · ⏱️ 18.03.2024):

pip install OpenNMT-py

jellyfish (🥈33 · ⭐ 2.1K) - a python library for doing approximate and phonetic matching of strings. MIT

- [GitHub](https://github.com/jamesturk/jellyfish) (👨‍💻 35 · 🔀 160 · 📦 15K · 📋 140 - 2% open · ⏱️ 17.05.2025):

git clone https://github.com/jamesturk/jellyfish

- [PyPi](https://pypi.org/project/jellyfish) (📥 7.4M / month · 📦 300 · ⏱️ 31.03.2025):

pip install jellyfish

- [Conda](https://anaconda.org/conda-forge/jellyfish) (📥 1.4M · ⏱️ 22.04.2025):

conda install -c conda-forge jellyfish

ftfy (🥈32 · ⭐ 3.9K · 💤) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2

- [GitHub](https://github.com/rspeer/python-ftfy) (👨‍💻 22 · 🔀 120 · 📥 73 · 📦 31K · 📋 150 - 6% open · ⏱️ 30.10.2024):

git clone https://github.com/rspeer/python-ftfy

- [PyPi](https://pypi.org/project/ftfy) (📥 7.1M / month · 📦 570 · ⏱️ 26.10.2024):

pip install ftfy

- [Conda](https://anaconda.org/conda-forge/ftfy) (📥 330K · ⏱️ 22.04.2025):

conda install -c conda-forge ftfy

torchtext (🥈32 · ⭐ 3.5K) - Models, data loaders and abstractions for language processing,.. BSD-3

- [GitHub](https://github.com/pytorch/text) (👨‍💻 160 · 🔀 810 · 📋 850 - 39% open · ⏱️ 24.02.2025):

git clone https://github.com/pytorch/text

- [PyPi](https://pypi.org/project/torchtext) (📥 680K / month · 📦 280 · ⏱️ 24.04.2024):

pip install torchtext

DeepPavlov (🥈31 · ⭐ 6.9K) - An open source library for deep learning end-to-end dialog.. Apache-2

- [GitHub](https://github.com/deeppavlov/DeepPavlov) (👨‍💻 78 · 🔀 1.2K · 📦 430 · 📋 640 - 4% open · ⏱️ 26.11.2024):

git clone https://github.com/deepmipt/DeepPavlov

- [PyPi](https://pypi.org/project/deeppavlov) (📥 15K / month · 📦 4 · ⏱️ 12.08.2024):

pip install deeppavlov

rubrix (🥈31 · ⭐ 4.5K) - Argilla is a collaboration tool for AI engineers and domain experts.. Apache-2

- [GitHub](https://github.com/argilla-io/argilla) (👨‍💻 110 · 🔀 430 · 📦 3K · 📋 2.2K - 1% open · ⏱️ 16.05.2025):

git clone https://github.com/recognai/rubrix

- [PyPi](https://pypi.org/project/rubrix) (📥 3.1K / month · ⏱️ 24.10.2022):

pip install rubrix

- [Conda](https://anaconda.org/conda-forge/rubrix) (📥 46K · ⏱️ 22.04.2025):

conda install -c conda-forge rubrix

Dedupe (🥈30 · ⭐ 4.3K) - A python library for accurate and scalable fuzzy matching, record.. MIT

- [GitHub](https://github.com/dedupeio/dedupe) (👨‍💻 72 · 🔀 550 · 📦 360 · 📋 820 - 9% open · ⏱️ 01.11.2024):

git clone https://github.com/dedupeio/dedupe

- [PyPi](https://pypi.org/project/dedupe) (📥 66K / month · 📦 19 · ⏱️ 15.08.2024):

pip install dedupe

- [Conda](https://anaconda.org/conda-forge/dedupe) (📥 110K · ⏱️ 22.04.2025):

conda install -c conda-forge dedupe

Sumy (🥈30 · ⭐ 3.6K · 💤) - Module for automatic summarization of text documents and HTML pages. Apache-2

- [GitHub](https://github.com/miso-belica/sumy) (👨‍💻 32 · 🔀 530 · 📦 4.1K · 📋 120 - 18% open · ⏱️ 16.05.2024):

git clone https://github.com/miso-belica/sumy

- [PyPi](https://pypi.org/project/sumy) (📥 73K / month · 📦 31 · ⏱️ 23.10.2022):

pip install sumy

- [Conda](https://anaconda.org/conda-forge/sumy) (📥 12K · ⏱️ 22.04.2025):

conda install -c conda-forge sumy

spacy-transformers (🥈29 · ⭐ 1.4K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy

- [GitHub](https://github.com/explosion/spacy-transformers) (👨‍💻 23 · 🔀 170 · 📥 170 · 📦 2.3K · ⏱️ 06.02.2025):

git clone https://github.com/explosion/spacy-transformers

- [PyPi](https://pypi.org/project/spacy-transformers) (📥 220K / month · 📦 98 · ⏱️ 06.02.2025):

pip install spacy-transformers

- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (📥 120K · ⏱️ 22.04.2025):

conda install -c conda-forge spacy-transformers

TextDistance (🥈28 · ⭐ 3.5K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT

- [GitHub](https://github.com/life4/textdistance) (👨‍💻 18 · 🔀 250 · 📥 1.1K · 📦 8.6K · ⏱️ 18.04.2025):

git clone https://github.com/life4/textdistance

- [PyPi](https://pypi.org/project/textdistance) (📥 1.1M / month · 📦 99 · ⏱️ 16.07.2024):

pip install textdistance

- [Conda](https://anaconda.org/conda-forge/textdistance) (📥 830K · ⏱️ 22.04.2025):

conda install -c conda-forge textdistance

SciSpacy (🥈28 · ⭐ 1.8K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2

- [GitHub](https://github.com/allenai/scispacy) (👨‍💻 37 · 🔀 230 · 📦 1.2K · 📋 320 - 10% open · ⏱️ 23.11.2024):

git clone https://github.com/allenai/scispacy

- [PyPi](https://pypi.org/project/scispacy) (📥 38K / month · 📦 34 · ⏱️ 27.10.2024):

pip install scispacy

CLTK (🥈28 · ⭐ 850) - The Classical Language Toolkit. MIT

- [GitHub](https://github.com/cltk/cltk) (👨‍💻 120 · 🔀 330 · 📥 130 · 📦 300 · 📋 580 - 6% open · ⏱️ 04.05.2025):

git clone https://github.com/cltk/cltk

- [PyPi](https://pypi.org/project/cltk) (📥 3.3K / month · 📦 17 · ⏱️ 04.05.2025):

pip install cltk

PyTextRank (🥉27 · ⭐ 2.2K · 💤) - Python implementation of TextRank algorithms (textgraphs) for.. MIT

- [GitHub](https://github.com/DerwenAI/pytextrank) (👨‍💻 19 · 🔀 340 · 📦 850 · 📋 100 - 12% open · ⏱️ 21.05.2024):

git clone https://github.com/DerwenAI/pytextrank

- [PyPi](https://pypi.org/project/pytextrank) (📥 70K / month · 📦 19 · ⏱️ 21.02.2024):

pip install pytextrank

english-words (🥉26 · ⭐ 11K) - A text file containing 479k English words for all your.. Unlicense

- [GitHub](https://github.com/dwyl/english-words) (👨‍💻 34 · 🔀 1.9K · 📦 2 · 📋 160 - 74% open · ⏱️ 06.01.2025):

git clone https://github.com/dwyl/english-words

- [PyPi](https://pypi.org/project/english-words) (📥 57K / month · 📦 14 · ⏱️ 24.05.2023):

pip install english-words

DeepKE (🥉25 · ⭐ 3.9K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. MIT

- [GitHub](https://github.com/zjunlp/DeepKE) (👨‍💻 32 · 🔀 710 · 📦 24 · 📋 610 - 1% open · ⏱️ 22.04.2025):

git clone https://github.com/zjunlp/deepke

- [PyPi](https://pypi.org/project/deepke) (📥 1.1K / month · ⏱️ 21.09.2023):

pip install deepke

scattertext (🥉25 · ⭐ 2.3K) - Beautiful visualizations of how language differs among document.. Apache-2

- [GitHub](https://github.com/JasonKessler/scattertext) (👨‍💻 14 · 🔀 290 · 📦 670 · 📋 100 - 22% open · ⏱️ 29.04.2025):

git clone https://github.com/JasonKessler/scattertext

- [PyPi](https://pypi.org/project/scattertext) (📥 8.9K / month · 📦 5 · ⏱️ 23.09.2024):

pip install scattertext

- [Conda](https://anaconda.org/conda-forge/scattertext) (📥 110K · ⏱️ 22.04.2025):

conda install -c conda-forge scattertext

sense2vec (🥉24 · ⭐ 1.7K) - Contextually-keyed word vectors. MIT

- [GitHub](https://github.com/explosion/sense2vec) (👨‍💻 20 · 🔀 240 · 📥 72K · 📦 470 · 📋 120 - 20% open · ⏱️ 23.04.2025):

git clone https://github.com/explosion/sense2vec

- [PyPi](https://pypi.org/project/sense2vec) (📥 2K / month · 📦 13 · ⏱️ 19.04.2021):

pip install sense2vec

- [Conda](https://anaconda.org/conda-forge/sense2vec) (📥 61K · ⏱️ 22.04.2025):

conda install -c conda-forge sense2vec

detoxify (🥉24 · ⭐ 1K) - Trained models & code to predict toxic comments on all 3 Jigsaw Toxic.. Apache-2

- [GitHub](https://github.com/unitaryai/detoxify) (👨‍💻 14 · 🔀 120 · 📥 1.2M · 📦 910 · 📋 67 - 55% open · ⏱️ 07.03.2025):

git clone https://github.com/unitaryai/detoxify

- [PyPi](https://pypi.org/project/detoxify) (📥 66K / month · 📦 30 · ⏱️ 01.02.2024):

pip install detoxify

T5 (🥉23 · ⭐ 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) (👨‍💻 61 · 🔀 760 · 📋 450 - 23% open · ⏱️ 28.04.2025):

git clone https://github.com/google-research/text-to-text-transfer-transformer

- [PyPi](https://pypi.org/project/t5) (📥 41K / month · 📦 2 · ⏱️ 18.10.2021):

pip install t5

Sockeye (🥉22 · ⭐ 1.2K · 💤) - Sequence-to-sequence framework with a focus on Neural.. Apache-2

- [GitHub](https://github.com/awslabs/sockeye) (👨‍💻 60 · 🔀 320 · 📥 21 · 📋 310 - 3% open · ⏱️ 24.10.2024):

git clone https://github.com/awslabs/sockeye

- [PyPi](https://pypi.org/project/sockeye) (📥 1.3K / month · ⏱️ 03.03.2023):

pip install sockeye

happy-transformer (🥉22 · ⭐ 540) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface

- [GitHub](https://github.com/EricFillion/happy-transformer) (👨‍💻 14 · 🔀 68 · 📦 330 · 📋 130 - 16% open · ⏱️ 22.03.2025):

git clone https://github.com/EricFillion/happy-transformer

- [PyPi](https://pypi.org/project/happytransformer) (📥 3.5K / month · 📦 5 · ⏱️ 05.08.2023):

pip install happytransformer

fast-bert (🥉21 · ⭐ 1.9K · 💤) - Super easy library for BERT based NLP models. Apache-2

- [GitHub](https://github.com/utterworks/fast-bert) (👨‍💻 37 · 🔀 340 · 📋 260 - 63% open · ⏱️ 19.08.2024):

git clone https://github.com/utterworks/fast-bert

- [PyPi](https://pypi.org/project/fast-bert) (📥 1.4K / month · ⏱️ 19.08.2024):

pip install fast-bert

finetune (🥉21 · ⭐ 710) - Scikit-learn style model finetuning for NLP. MPL-2.0

- [GitHub](https://github.com/IndicoDataSolutions/finetune) (👨‍💻 24 · 🔀 78 · 📦 15 · 📋 140 - 15% open · ⏱️ 20.05.2025):

git clone https://github.com/IndicoDataSolutions/finetune

- [PyPi](https://pypi.org/project/finetune) (📥 370 / month · 📦 2 · ⏱️ 29.09.2023):

pip install finetune

small-text (🥉21 · ⭐ 620) - Active Learning for Text Classification in Python. MIT

- [GitHub](https://github.com/webis-de/small-text) (👨‍💻 9 · 🔀 70 · 📦 34 · 📋 66 - 27% open · ⏱️ 06.04.2025):

git clone https://github.com/webis-de/small-text

- [PyPi](https://pypi.org/project/small-text) (📥 720 / month · ⏱️ 06.04.2025):

pip install small-text

- [Conda](https://anaconda.org/conda-forge/small-text) (📥 15K · ⏱️ 22.04.2025):

conda install -c conda-forge small-text

UForm (🥉20 · ⭐ 1.1K) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2

- [GitHub](https://github.com/unum-cloud/uform) (👨‍💻 19 · 🔀 67 · 📥 610 · 📦 34 · 📋 35 - 37% open · ⏱️ 03.01.2025):

git clone https://github.com/unum-cloud/uform

- [PyPi](https://pypi.org/project/uform) (📥 640 / month · 📦 2 · ⏱️ 03.01.2025):

pip install uform

VizSeq (🥉15 · ⭐ 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT

- [GitHub](https://github.com/facebookresearch/vizseq) (👨‍💻 4 · 🔀 61 · 📦 13 · 📋 16 - 43% open · ⏱️ 07.03.2025):

git clone https://github.com/facebookresearch/vizseq

- [PyPi](https://pypi.org/project/vizseq) (📥 130 / month · ⏱️ 07.08.2020):

pip install vizseq

Show 56 hidden projects...

- AllenNLP (🥈37 · ⭐ 12K · 💀) - An open-source NLP research library, built on PyTorch. Apache-2 - fastText (🥈35 · ⭐ 26K · 💀) - Library for fast text representation and classification. MIT - ParlAI (🥈32 · ⭐ 11K · 💀) - A framework for training and evaluating AI models on a variety of.. MIT - fuzzywuzzy (🥈32 · ⭐ 9.3K · 💀) - Fuzzy String Matching in Python. ❗️GPL-2.0 - nlpaug (🥈30 · ⭐ 4.6K · 💀) - Data augmentation for NLP. MIT - Ciphey (🥈28 · ⭐ 19K · 💀) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT - vaderSentiment (🥈28 · ⭐ 4.7K · 💀) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT - fastNLP (🥈28 · ⭐ 3.1K · 💀) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2 - textacy (🥈28 · ⭐ 2.2K · 💀) - NLP, before and after spaCy. ❗Unlicensed - flashtext (🥉27 · ⭐ 5.6K · 💀) - Extract Keywords from sentence or Replace keywords in sentences. MIT - underthesea (🥉27 · ⭐ 1.5K) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0 - pySBD (🥉27 · ⭐ 850 · 💀) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT - neuralcoref (🥉26 · ⭐ 2.9K · 💀) - Fast Coreference Resolution in spaCy with Neural Networks. MIT - langid (🥉26 · ⭐ 2.4K · 💀) - Stand-alone language identification system. BSD-3 - polyglot (🥉26 · ⭐ 2.3K · 💀) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 - PyText (🥉25 · ⭐ 6.3K · 💀) - A natural language modeling framework based on PyTorch. BSD-3 - GluonNLP (🥉25 · ⭐ 2.6K · 💀) - Toolkit that enables easy text preprocessing, datasets.. Apache-2 - textgenrnn (🥉24 · ⭐ 4.9K · 💀) - Easily train your own text-generating neural network of any.. MIT - OpenPrompt (🥉24 · ⭐ 4.6K · 💀) - An Open-Source Framework for Prompt-Learning. Apache-2 - Snips NLU (🥉24 · ⭐ 3.9K · 💀) - Snips Python library to extract meaning from text. Apache-2 - MatchZoo (🥉24 · ⭐ 3.9K · 💀) - Facilitating the design, comparison and sharing of deep.. Apache-2 - promptsource (🥉24 · ⭐ 2.9K · 💀) - Toolkit for creating, sharing and using natural language.. Apache-2 - pytorch-nlp (🥉24 · ⭐ 2.2K · 💀) - Basic Utilities for PyTorch Natural Language Processing.. BSD-3 - FARM (🥉24 · ⭐ 1.8K · 💀) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 - whoosh (🥉24 · ⭐ 620 · 💀) - Pure-Python full-text search library. ❗️BSD-1-Clause - Kashgari (🥉23 · ⭐ 2.4K · 💀) - Kashgari is a production-level NLP Transfer learning.. Apache-2 - YouTokenToMe (🥉23 · ⭐ 970 · 💀) - Unsupervised text tokenizer focused on computational efficiency. MIT - gpt-2-simple (🥉22 · ⭐ 3.4K · 💀) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT - NLP Architect (🥉22 · ⭐ 2.9K · 💀) - A model library for exploring state-of-the-art deep.. Apache-2 - Texthero (🥉22 · ⭐ 2.9K · 💀) - Text preprocessing, representation and visualization from zero to.. MIT - Texar (🥉22 · ⭐ 2.4K · 💀) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 - jiant (🥉22 · ⭐ 1.7K · 💀) - jiant is an nlp toolkit. MIT - stop-words (🥉22 · ⭐ 160 · 💀) - Get list of common stop words in various languages in Python. BSD-3 - DELTA (🥉21 · ⭐ 1.6K · 💀) - DELTA is a deep learning based natural language and speech.. Apache-2 - anaGo (🥉21 · ⭐ 1.5K · 💀) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT - lightseq (🥉20 · ⭐ 3.3K · 💀) - LightSeq: A High Performance Library for Sequence Processing.. Apache-2 - textpipe (🥉20 · ⭐ 300 · 💀) - Textpipe: clean and extract metadata from text. MIT - DeepMatcher (🥉19 · ⭐ 5.2K · 💀) - Python package for performing Entity and Text Matching using.. BSD-3 - numerizer (🥉19 · ⭐ 230 · 💤) - A Python module to convert natural language numerics into ints and.. MIT - pyfasttext (🥉19 · ⭐ 230 · 💀) - Yet another Python binding for fastText. ❗️GPL-3.0 - NeuroNER (🥉18 · ⭐ 1.7K · 💀) - Named-entity recognition using neural networks. Easy-to-use and.. MIT - nboost (🥉18 · ⭐ 680 · 💀) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2 - fastT5 (🥉18 · ⭐ 580 · 💀) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2 - textaugment (🥉18 · ⭐ 420 · 💀) - TextAugment: Text Augmentation Library. MIT - Camphr (🥉18 · ⭐ 340 · 💀) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy - skift (🥉17 · ⭐ 240 · 💀) - scikit-learn wrappers for Python fastText. MIT - OpenNRE (🥉16 · ⭐ 4.4K · 💀) - An Open-Source Package for Neural Relation Extraction (NRE). MIT - TextBox (🥉16 · ⭐ 1.1K · 💀) - TextBox 2.0 is a text generation library with pre-trained language.. MIT - BLINK (🥉15 · ⭐ 1.2K · 💀) - Entity Linker solution. MIT - Translate (🥉15 · ⭐ 830 · 💀) - Translate - a PyTorch Language Library. BSD-3 - NeuralQA (🥉15 · ⭐ 230 · 💀) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT - Headliner (🥉15 · ⭐ 230 · 💀) - Easy training and deployment of seq2seq models. MIT - ONNX-T5 (🥉14 · ⭐ 250 · 💀) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2 - TransferNLP (🥉13 · ⭐ 290 · 💀) - NLP library designed for reproducible experimentation.. MIT - textvec (🥉13 · ⭐ 190 · 💀) - Text vectorization tool to outperform TFIDF for classification.. MIT - spacy-dbpedia-spotlight (🥉13 · ⭐ 110 · 💀) - A spaCy wrapper for DBpedia Spotlight. MIT spacy

Image Data

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 (🥇48 · ⭐ 13K) - Python Imaging Library (Fork). ❗️PIL

- [GitHub](https://github.com/python-pillow/Pillow) (👨‍💻 480 · 🔀 2.3K · 📦 2.3M · 📋 3.3K - 3% open · ⏱️ 08.05.2025):

git clone https://github.com/python-pillow/Pillow

- [PyPi](https://pypi.org/project/Pillow) (📥 150M / month · 📦 14K · ⏱️ 12.04.2025):

pip install Pillow

- [Conda](https://anaconda.org/conda-forge/pillow) (📥 54M · ⏱️ 07.05.2025):

conda install -c conda-forge pillow

torchvision (🥇42 · ⭐ 17K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3

- [GitHub](https://github.com/pytorch/vision) (👨‍💻 640 · 🔀 7K · 📥 41K · 📦 21 · 📋 3.7K - 29% open · ⏱️ 09.05.2025):

git clone https://github.com/pytorch/vision

- [PyPi](https://pypi.org/project/torchvision) (📥 17M / month · 📦 7K · ⏱️ 23.04.2025):

pip install torchvision

- [Conda](https://anaconda.org/conda-forge/torchvision) (📥 2.6M · ⏱️ 22.04.2025):

conda install -c conda-forge torchvision

PyTorch Image Models (🥇41 · ⭐ 34K · 📉) - The largest collection of PyTorch image encoders /.. Apache-2

- [GitHub](https://github.com/huggingface/pytorch-image-models) (👨‍💻 170 · 🔀 4.9K · 📥 7.8M · 📦 57K · 📋 980 - 5% open · ⏱️ 21.05.2025):

git clone https://github.com/rwightman/pytorch-image-models

- [PyPi](https://pypi.org/project/timm) (📥 7.9M / month · 📦 1.1K · ⏱️ 23.02.2025):

pip install timm

- [Conda](https://anaconda.org/conda-forge/timm) (📥 390K · ⏱️ 22.04.2025):

conda install -c conda-forge timm

Albumentations (🥇41 · ⭐ 15K) - Fast and flexible image augmentation library. Paper about.. MIT

- [GitHub](https://github.com/albumentations-team/albumentations) (👨‍💻 170 · 🔀 1.7K · 📦 38K · 📋 1.2K - 17% open · ⏱️ 21.05.2025):

git clone https://github.com/albumentations-team/albumentations

- [PyPi](https://pypi.org/project/albumentations) (📥 6.3M / month · 📦 720 · ⏱️ 16.05.2025):

pip install albumentations

- [Conda](https://anaconda.org/conda-forge/albumentations) (📥 290K · ⏱️ 16.05.2025):

conda install -c conda-forge albumentations

MoviePy (🥇41 · ⭐ 13K · 📈) - Video editing with Python. MIT

- [GitHub](https://github.com/Zulko/moviepy) (👨‍💻 180 · 🔀 1.8K · 📦 63K · 📋 1.6K - 2% open · ⏱️ 21.05.2025):

git clone https://github.com/Zulko/moviepy

- [PyPi](https://pypi.org/project/moviepy) (📥 3.2M / month · 📦 1.2K · ⏱️ 21.05.2025):

pip install moviepy

- [Conda](https://anaconda.org/conda-forge/moviepy) (📥 300K · ⏱️ 22.04.2025):

conda install -c conda-forge moviepy

deepface (🥇39 · ⭐ 19K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT

- [GitHub](https://github.com/serengil/deepface) (👨‍💻 89 · 🔀 2.6K · 📦 7.8K · 📋 1.2K - 0% open · ⏱️ 17.05.2025):

git clone https://github.com/serengil/deepface

- [PyPi](https://pypi.org/project/deepface) (📥 620K / month · 📦 44 · ⏱️ 17.08.2024):

pip install deepface

InsightFace (🥈38 · ⭐ 25K) - State-of-the-art 2D and 3D Face Analysis Project. MIT

- [GitHub](https://github.com/deepinsight/insightface) (👨‍💻 66 · 🔀 5.5K · 📥 8.1M · 📦 4.4K · 📋 2.6K - 45% open · ⏱️ 22.05.2025):

git clone https://github.com/deepinsight/insightface

- [PyPi](https://pypi.org/project/insightface) (📥 260K / month · 📦 30 · ⏱️ 17.12.2022):

pip install insightface

imageio (🥈38 · ⭐ 1.6K) - Python library for reading and writing image data. BSD-2

- [GitHub](https://github.com/imageio/imageio) (👨‍💻 120 · 🔀 310 · 📥 1.8K · 📦 180K · 📋 610 - 16% open · ⏱️ 21.02.2025):

git clone https://github.com/imageio/imageio

- [PyPi](https://pypi.org/project/imageio) (📥 26M / month · 📦 2.6K · ⏱️ 20.01.2025):

pip install imageio

- [Conda](https://anaconda.org/conda-forge/imageio) (📥 7.9M · ⏱️ 22.04.2025):

conda install -c conda-forge imageio

Kornia (🥈37 · ⭐ 10K) - Geometric Computer Vision Library for Spatial AI. Apache-2

- [GitHub](https://github.com/kornia/kornia) (👨‍💻 290 · 🔀 1K · 📥 1.9K · 📦 16K · 📋 980 - 30% open · ⏱️ 20.05.2025):

git clone https://github.com/kornia/kornia

- [PyPi](https://pypi.org/project/kornia) (📥 2.7M / month · 📦 340 · ⏱️ 08.05.2025):

pip install kornia

- [Conda](https://anaconda.org/conda-forge/kornia) (📥 230K · ⏱️ 08.05.2025):

conda install -c conda-forge kornia

opencv-python (🥈35 · ⭐ 4.8K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT

- [GitHub](https://github.com/opencv/opencv-python) (👨‍💻 54 · 🔀 900 · 📦 590K · 📋 860 - 17% open · ⏱️ 19.05.2025):

git clone https://github.com/opencv/opencv-python

- [PyPi](https://pypi.org/project/opencv-python) (📥 18M / month · 📦 13K · ⏱️ 16.01.2025):

pip install opencv-python

Wand (🥈33 · ⭐ 1.4K) - The ctypes-based simple ImageMagick binding for Python. MIT

- [GitHub](https://github.com/emcconville/wand) (👨‍💻 110 · 🔀 200 · 📥 52K · 📦 21K · 📋 430 - 6% open · ⏱️ 01.04.2025):

git clone https://github.com/emcconville/wand

- [PyPi](https://pypi.org/project/wand) (📥 1.1M / month · 📦 260 · ⏱️ 03.11.2023):

pip install wand

- [Conda](https://anaconda.org/conda-forge/wand) (📥 140K · ⏱️ 22.04.2025):

conda install -c conda-forge wand

PaddleSeg (🥈32 · ⭐ 9K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2

- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (👨‍💻 130 · 🔀 1.7K · 📦 1.4K · 📋 2.2K - 0% open · ⏱️ 25.12.2024):

git clone https://github.com/PaddlePaddle/PaddleSeg

- [PyPi](https://pypi.org/project/paddleseg) (📥 1.5K / month · 📦 7 · ⏱️ 30.11.2022):

pip install paddleseg

ImageHash (🥈32 · ⭐ 3.6K) - A Python Perceptual Image Hashing Module. BSD-2

- [GitHub](https://github.com/JohannesBuchner/imagehash) (👨‍💻 28 · 🔀 340 · 📦 17K · 📋 150 - 15% open · ⏱️ 17.04.2025):

git clone https://github.com/JohannesBuchner/imagehash

- [PyPi](https://pypi.org/project/ImageHash) (📥 1.9M / month · 📦 270 · ⏱️ 01.02.2025):

pip install ImageHash

- [Conda](https://anaconda.org/conda-forge/imagehash) (📥 450K · ⏱️ 22.04.2025):

conda install -c conda-forge imagehash

lightly (🥈32 · ⭐ 3.4K) - A python library for self-supervised learning on images. MIT

- [GitHub](https://github.com/lightly-ai/lightly) (👨‍💻 65 · 🔀 290 · 📦 450 · 📋 600 - 12% open · ⏱️ 21.05.2025):

git clone https://github.com/lightly-ai/lightly

- [PyPi](https://pypi.org/project/lightly) (📥 62K / month · 📦 20 · ⏱️ 22.04.2025):

pip install lightly

detectron2 (🥈31 · ⭐ 32K · 📉) - Detectron2 is a platform for object detection,.. Apache-2

- [GitHub](https://github.com/facebookresearch/detectron2) (👨‍💻 280 · 🔀 7.5K · 📋 3.6K - 14% open · ⏱️ 24.04.2025):

git clone https://github.com/facebookresearch/detectron2

- [PyPi](https://pypi.org/project/detectron2) (📦 13 · ⏱️ 06.02.2020):

pip install detectron2

- [Conda](https://anaconda.org/conda-forge/detectron2) (📥 690K · ⏱️ 13.05.2025):

conda install -c conda-forge detectron2

vit-pytorch (🥈30 · ⭐ 23K) - Implementation of Vision Transformer, a simple way to achieve.. MIT

- [GitHub](https://github.com/lucidrains/vit-pytorch) (👨‍💻 23 · 🔀 3.3K · 📦 650 · 📋 280 - 49% open · ⏱️ 05.03.2025):

git clone https://github.com/lucidrains/vit-pytorch

- [PyPi](https://pypi.org/project/vit-pytorch) (📥 19K / month · 📦 17 · ⏱️ 05.03.2025):

pip install vit-pytorch

sahi (🥈30 · ⭐ 4.6K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT

- [GitHub](https://github.com/obss/sahi) (👨‍💻 54 · 🔀 640 · 📥 36K · 📦 1.8K · ⏱️ 15.05.2025):

git clone https://github.com/obss/sahi

- [PyPi](https://pypi.org/project/sahi) (📥 140K / month · 📦 35 · ⏱️ 05.05.2025):

pip install sahi

- [Conda](https://anaconda.org/conda-forge/sahi) (📥 100K · ⏱️ 05.05.2025):

conda install -c conda-forge sahi

PaddleDetection (🥈29 · ⭐ 13K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2

- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (👨‍💻 190 · 🔀 2.9K · 📋 5.6K - 17% open · ⏱️ 16.04.2025):

git clone https://github.com/PaddlePaddle/PaddleDetection

- [PyPi](https://pypi.org/project/paddledet) (📥 890 / month · 📦 2 · ⏱️ 19.09.2022):

pip install paddledet

doctr (🥈29 · ⭐ 4.7K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2

- [GitHub](https://github.com/mindee/doctr) (👨‍💻 62 · 🔀 500 · 📥 5.4M · 📋 410 - 6% open · ⏱️ 22.05.2025):

git clone https://github.com/mindee/doctr

- [PyPi](https://pypi.org/project/python-doctr) (📥 100K / month · 📦 14 · ⏱️ 30.01.2025):

pip install python-doctr

Face Alignment (🥉28 · ⭐ 7.3K · 💤) - 2D and 3D Face alignment library build using pytorch. BSD-3

- [GitHub](https://github.com/1adrianb/face-alignment) (👨‍💻 26 · 🔀 1.4K · 📦 21 · 📋 320 - 24% open · ⏱️ 30.08.2024):

git clone https://github.com/1adrianb/face-alignment

- [PyPi](https://pypi.org/project/face-alignment) (📥 75K / month · 📦 10 · ⏱️ 17.08.2023):

pip install face-alignment

vidgear (🥉28 · ⭐ 3.5K · 💤) - A High-performance cross-platform Video Processing Python.. Apache-2

- [GitHub](https://github.com/abhiTronix/vidgear) (👨‍💻 14 · 🔀 260 · 📥 2.3K · 📦 720 · 📋 300 - 2% open · ⏱️ 22.06.2024):

git clone https://github.com/abhiTronix/vidgear

- [PyPi](https://pypi.org/project/vidgear) (📥 28K / month · 📦 15 · ⏱️ 22.06.2024):

pip install vidgear

Norfair (🥉28 · ⭐ 2.5K) - Lightweight Python library for adding real-time multi-object tracking.. BSD-3

- [GitHub](https://github.com/tryolabs/norfair) (👨‍💻 31 · 🔀 260 · 📥 350 · 📦 320 · 📋 180 - 16% open · ⏱️ 30.04.2025):

git clone https://github.com/tryolabs/norfair

- [PyPi](https://pypi.org/project/norfair) (📥 29K / month · 📦 9 · ⏱️ 30.04.2025):

pip install norfair

mtcnn (🥉28 · ⭐ 2.4K · 💤) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT

- [GitHub](https://github.com/ipazc/mtcnn) (👨‍💻 16 · 🔀 530 · 📥 52 · 📦 8.8K · 📋 130 - 37% open · ⏱️ 08.10.2024):

git clone https://github.com/ipazc/mtcnn

- [PyPi](https://pypi.org/project/mtcnn) (📥 170K / month · 📦 73 · ⏱️ 08.10.2024):

pip install mtcnn

- [Conda](https://anaconda.org/conda-forge/mtcnn) (📥 15K · ⏱️ 22.04.2025):

conda install -c conda-forge mtcnn

pyvips (🥉28 · ⭐ 700) - python binding for libvips using cffi. MIT

- [GitHub](https://github.com/libvips/pyvips) (👨‍💻 16 · 🔀 49 · 📦 1.1K · 📋 460 - 42% open · ⏱️ 17.05.2025):

git clone https://github.com/libvips/pyvips

- [PyPi](https://pypi.org/project/pyvips) (📥 120K / month · 📦 94 · ⏱️ 28.04.2025):

pip install pyvips

- [Conda](https://anaconda.org/conda-forge/pyvips) (📥 220K · ⏱️ 29.04.2025):

conda install -c conda-forge pyvips

facenet-pytorch (🥉27 · ⭐ 4.9K · 💤) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT

- [GitHub](https://github.com/timesler/facenet-pytorch) (👨‍💻 18 · 🔀 940 · 📥 1.8M · 📦 3.6K · 📋 190 - 41% open · ⏱️ 02.08.2024):

git clone https://github.com/timesler/facenet-pytorch

- [PyPi](https://pypi.org/project/facenet-pytorch) (📥 130K / month · 📦 51 · ⏱️ 29.04.2024):

pip install facenet-pytorch

mahotas (🥉27 · ⭐ 870) - Computer Vision in Python. MIT

- [GitHub](https://github.com/luispedro/mahotas) (👨‍💻 35 · 🔀 150 · 📦 1.5K · 📋 92 - 22% open · ⏱️ 25.02.2025):

git clone https://github.com/luispedro/mahotas

- [PyPi](https://pypi.org/project/mahotas) (📥 24K / month · 📦 63 · ⏱️ 17.07.2024):

pip install mahotas

- [Conda](https://anaconda.org/conda-forge/mahotas) (📥 630K · ⏱️ 22.04.2025):

conda install -c conda-forge mahotas

Image Deduplicator (🥉26 · ⭐ 5.4K) - Finding duplicate images made easy!. Apache-2

- [GitHub](https://github.com/idealo/imagededup) (👨‍💻 17 · 🔀 460 · 📥 4 · 📦 190 · 📋 130 - 28% open · ⏱️ 07.05.2025):

git clone https://github.com/idealo/imagededup

- [PyPi](https://pypi.org/project/imagededup) (📥 24K / month · 📦 26 · ⏱️ 13.05.2025):

pip install imagededup

CellProfiler (🥉26 · ⭐ 980) - An open-source application for biological image analysis. BSD-3

- [GitHub](https://github.com/CellProfiler/CellProfiler) (👨‍💻 150 · 🔀 390 · 📥 8.7K · 📦 28 · 📋 3.3K - 9% open · ⏱️ 20.05.2025):

git clone https://github.com/CellProfiler/CellProfiler

- [PyPi](https://pypi.org/project/cellprofiler) (📥 1K / month · 📦 2 · ⏱️ 16.09.2024):

pip install cellprofiler

MMF (🥉25 · ⭐ 5.6K) - A modular framework for vision & language multimodal research from.. BSD-3

- [GitHub](https://github.com/facebookresearch/mmf) (👨‍💻 120 · 🔀 920 · 📦 22 · 📋 690 - 21% open · ⏱️ 24.04.2025):

git clone https://github.com/facebookresearch/mmf

- [PyPi](https://pypi.org/project/mmf) (📥 340 / month · 📦 1 · ⏱️ 12.06.2020):

pip install mmf

pytorchvideo (🥉25 · ⭐ 3.4K) - A deep learning library for video understanding research. Apache-2

- [GitHub](https://github.com/facebookresearch/pytorchvideo) (👨‍💻 58 · 🔀 410 · 📋 210 - 50% open · ⏱️ 25.01.2025):

git clone https://github.com/facebookresearch/pytorchvideo

- [PyPi](https://pypi.org/project/pytorchvideo) (📥 58K / month · 📦 24 · ⏱️ 20.01.2022):

pip install pytorchvideo

tensorflow-graphics (🥉25 · ⭐ 2.8K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2

- [GitHub](https://github.com/tensorflow/graphics) (👨‍💻 39 · 🔀 370 · 📋 240 - 60% open · ⏱️ 03.02.2025):

git clone https://github.com/tensorflow/graphics

- [PyPi](https://pypi.org/project/tensorflow-graphics) (📥 34K / month · 📦 11 · ⏱️ 03.12.2021):

pip install tensorflow-graphics

segmentation_models (🥉24 · ⭐ 4.8K · 💤) - Segmentation models with pretrained backbones. Keras.. MIT

- [GitHub](https://github.com/qubvel/segmentation_models) (👨‍💻 15 · 🔀 1K · 📋 540 - 50% open · ⏱️ 21.08.2024):

git clone https://github.com/qubvel/segmentation_models

- [PyPi](https://pypi.org/project/segmentation_models) (📥 28K / month · 📦 28 · ⏱️ 10.01.2020):

pip install segmentation_models

ffcv (🥉23 · ⭐ 2.9K · 💤) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2

- [GitHub](https://github.com/libffcv/ffcv) (👨‍💻 31 · 🔀 180 · 📦 70 · 📋 290 - 38% open · ⏱️ 06.05.2024):

git clone https://github.com/libffcv/ffcv

- [PyPi](https://pypi.org/project/ffcv) (📥 680 / month · 📦 1 · ⏱️ 28.01.2022):

pip install ffcv

kubric (🥉22 · ⭐ 2.5K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2

- [GitHub](https://github.com/google-research/kubric) (👨‍💻 32 · 🔀 240 · 📦 7 · 📋 190 - 33% open · ⏱️ 06.05.2025):

git clone https://github.com/google-research/kubric

- [PyPi](https://pypi.org/project/kubric-nightly) (📥 7.7K / month · ⏱️ 27.12.2023):

pip install kubric-nightly

icevision (🥉22 · ⭐ 860 · 💤) - An Agnostic Computer Vision Framework - Pluggable to any.. Apache-2

- [GitHub](https://github.com/airctic/icevision) (👨‍💻 41 · 🔀 130 · 📋 570 - 10% open · ⏱️ 31.10.2024):

git clone https://github.com/airctic/icevision

- [PyPi](https://pypi.org/project/icevision) (📥 3.3K / month · 📦 6 · ⏱️ 10.02.2022):

pip install icevision

PySlowFast (🥉21 · ⭐ 6.9K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2

- [GitHub](https://github.com/facebookresearch/SlowFast) (👨‍💻 34 · 🔀 1.2K · 📦 23 · 📋 710 - 58% open · ⏱️ 26.11.2024):

git clone https://github.com/facebookresearch/SlowFast

- [PyPi](https://pypi.org/project/pyslowfast) (📥 32 / month · ⏱️ 15.01.2020):

pip install pyslowfast

Image Super-Resolution (🥉21 · ⭐ 4.7K) - Super-scale your images and run experiments with.. Apache-2

- [GitHub](https://github.com/idealo/image-super-resolution) (👨‍💻 11 · 🔀 760 · 📋 220 - 48% open · ⏱️ 18.12.2024):

git clone https://github.com/idealo/image-super-resolution

- [PyPi](https://pypi.org/project/ISR) (📥 6.2K / month · 📦 5 · ⏱️ 08.01.2020):

pip install ISR

- [Docker Hub](https://hub.docker.com/r/idealo/image-super-resolution-gpu) (📥 280 · ⭐ 1 · ⏱️ 01.04.2019):

docker pull idealo/image-super-resolution-gpu

scenic (🥉17 · ⭐ 3.5K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2

- [GitHub](https://github.com/google-research/scenic) (👨‍💻 94 · 🔀 450 · 📋 270 - 56% open · ⏱️ 05.05.2025):

git clone https://github.com/google-research/scenic

Show 26 hidden projects...

- scikit-image (🥇42 · ⭐ 6.2K) - Image processing in Python. ❗Unlicensed - MMDetection (🥈37 · ⭐ 31K · 💀) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 - glfw (🥈37 · ⭐ 14K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib - Face Recognition (🥈36 · ⭐ 55K · 💀) - The worlds simplest facial recognition api for Python.. MIT - imgaug (🥈36 · ⭐ 15K · 💀) - Image augmentation for machine learning experiments. MIT - PyTorch3D (🥈32 · ⭐ 9.3K) - PyTorch3D is FAIRs library of reusable components for.. ❗Unlicensed - imageai (🥈31 · ⭐ 8.8K · 💀) - A python library built to empower developers to build applications.. MIT - imutils (🥈31 · ⭐ 4.6K · 💀) - A series of convenience functions to make basic image processing.. MIT - GluonCV (🥉28 · ⭐ 5.9K · 💀) - Gluon CV Toolkit. Apache-2 - layout-parser (🥉28 · ⭐ 5.3K · 💀) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2 - Augmentor (🥉27 · ⭐ 5.1K · 💀) - Image augmentation library in Python for machine learning. MIT - chainercv (🥉26 · ⭐ 1.5K · 💀) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT - Pillow-SIMD (🥉25 · ⭐ 2.2K · 💤) - The friendly PIL fork. ❗️PIL - Classy Vision (🥉23 · ⭐ 1.6K · 💀) - An end-to-end PyTorch framework for image and video.. MIT - deep-daze (🥉22 · ⭐ 4.4K · 💀) - Simple command line tool for text to image generation using.. MIT - vissl (🥉22 · ⭐ 3.3K · 💀) - VISSL is FAIRs library of extensible, modular and scalable.. MIT - Luminoth (🥉22 · ⭐ 2.4K · 💀) - Deep Learning toolkit for Computer Vision. BSD-3 - detecto (🥉22 · ⭐ 620 · 💀) - Build fully-functioning computer vision models with PyTorch. MIT - DE⫶TR (🥉21 · ⭐ 14K · 💀) - End-to-End Object Detection with Transformers. Apache-2 - solt (🥉21 · ⭐ 260) - Streaming over lightweight data transformations. MIT - image-match (🥉20 · ⭐ 3K · 💀) - Quickly search over billions of images. Apache-2 - nude.py (🥉20 · ⭐ 930 · 💀) - Nudity detection with Python. MIT - pycls (🥉18 · ⭐ 2.2K · 💀) - Codebase for Image Classification Research, written in PyTorch. MIT - Caer (🥉17 · ⭐ 790 · 💀) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT - Torch Points 3D (🥉17 · ⭐ 240 · 💀) - Pytorch framework for doing deep learning on point.. BSD-3 - HugsVision (🥉14 · ⭐ 200 · 💀) - HugsVision is a easy to use huggingface wrapper for state-of-.. MIT huggingface

Graph Data

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

networkx (🥇44 · ⭐ 16K) - Network Analysis in Python. BSD-3

- [GitHub](https://github.com/networkx/networkx) (👨‍💻 780 · 🔀 3.3K · 📥 110 · 📦 410K · 📋 3.5K - 10% open · ⏱️ 19.05.2025):

git clone https://github.com/networkx/networkx

- [PyPi](https://pypi.org/project/networkx) (📥 94M / month · 📦 11K · ⏱️ 09.05.2025):

pip install networkx

- [Conda](https://anaconda.org/conda-forge/networkx) (📥 22M · ⏱️ 22.04.2025):

conda install -c conda-forge networkx

PyTorch Geometric (🥇40 · ⭐ 22K) - Graph Neural Network Library for PyTorch. MIT

- [GitHub](https://github.com/pyg-team/pytorch_geometric) (👨‍💻 540 · 🔀 3.8K · 📦 9.5K · 📋 3.9K - 30% open · ⏱️ 20.05.2025):

git clone https://github.com/pyg-team/pytorch_geometric

- [PyPi](https://pypi.org/project/torch-geometric) (📥 630K / month · 📦 360 · ⏱️ 26.09.2024):

pip install torch-geometric

- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (📥 160K · ⏱️ 22.04.2025):

conda install -c conda-forge pytorch_geometric

dgl (🥇36 · ⭐ 14K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2

- [GitHub](https://github.com/dmlc/dgl) (👨‍💻 300 · 🔀 3K · 📦 4K · 📋 2.9K - 18% open · ⏱️ 11.02.2025):

git clone https://github.com/dmlc/dgl

- [PyPi](https://pypi.org/project/dgl) (📥 100K / month · 📦 150 · ⏱️ 13.05.2024):

pip install dgl

PyKEEN (🥈31 · ⭐ 1.8K) - A Python library for learning and evaluating knowledge graph embeddings. MIT

- [GitHub](https://github.com/pykeen/pykeen) (👨‍💻 43 · 🔀 200 · 📥 240 · 📦 320 · 📋 590 - 19% open · ⏱️ 24.04.2025):

git clone https://github.com/pykeen/pykeen

- [PyPi](https://pypi.org/project/pykeen) (📥 13K / month · 📦 21 · ⏱️ 24.04.2025):

pip install pykeen

pygraphistry (🥈29 · ⭐ 2.3K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3

- [GitHub](https://github.com/graphistry/pygraphistry) (👨‍💻 46 · 🔀 220 · 📦 150 · 📋 360 - 53% open · ⏱️ 16.05.2025):

git clone https://github.com/graphistry/pygraphistry

- [PyPi](https://pypi.org/project/graphistry) (📥 17K / month · 📦 6 · ⏱️ 16.05.2025):

pip install graphistry

pytorch_geometric_temporal (🥈28 · ⭐ 2.8K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT

- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (👨‍💻 37 · 🔀 390 · 📋 200 - 20% open · ⏱️ 24.03.2025):

git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal

- [PyPi](https://pypi.org/project/torch-geometric-temporal) (📥 5.9K / month · 📦 7 · ⏱️ 28.03.2025):

pip install torch-geometric-temporal

ogb (🥈28 · ⭐ 2K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT

- [GitHub](https://github.com/snap-stanford/ogb) (👨‍💻 32 · 🔀 400 · 📦 2.5K · 📋 310 - 11% open · ⏱️ 06.05.2025):

git clone https://github.com/snap-stanford/ogb

- [PyPi](https://pypi.org/project/ogb) (📥 35K / month · 📦 73 · ⏱️ 07.04.2023):

pip install ogb

- [Conda](https://anaconda.org/conda-forge/ogb) (📥 54K · ⏱️ 22.04.2025):

conda install -c conda-forge ogb

Node2Vec (🥈25 · ⭐ 1.3K · 💤) - Implementation of the node2vec algorithm. MIT

- [GitHub](https://github.com/eliorc/node2vec) (👨‍💻 16 · 🔀 250 · 📦 910 · 📋 97 - 5% open · ⏱️ 02.08.2024):

git clone https://github.com/eliorc/node2vec

- [PyPi](https://pypi.org/project/node2vec) (📥 26K / month · 📦 31 · ⏱️ 02.08.2024):

pip install node2vec

- [Conda](https://anaconda.org/conda-forge/node2vec) (📥 35K · ⏱️ 22.04.2025):

conda install -c conda-forge node2vec

torch-cluster (🥈25 · ⭐ 870) - PyTorch Extension Library of Optimized Graph Cluster.. MIT

- [GitHub](https://github.com/rusty1s/pytorch_cluster) (👨‍💻 39 · 🔀 150 · 📋 180 - 17% open · ⏱️ 20.04.2025):

git clone https://github.com/rusty1s/pytorch_cluster

- [PyPi](https://pypi.org/project/torch-cluster) (📥 20K / month · 📦 62 · ⏱️ 12.10.2023):

pip install torch-cluster

- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (📥 360K · ⏱️ 22.04.2025):

conda install -c conda-forge pytorch_cluster

GraphVite (🥉15 · ⭐ 1.3K · 💤) - GraphVite: A General and High-performance Graph Embedding.. Apache-2

- [GitHub](https://github.com/DeepGraphLearning/graphvite) (👨‍💻 1 · 🔀 150 · 📋 110 - 47% open · ⏱️ 14.06.2024):

git clone https://github.com/DeepGraphLearning/graphvite

- [Conda](https://anaconda.org/milagraph/graphvite) (📥 5.1K · ⏱️ 25.03.2025):

conda install -c milagraph graphvite

Show 26 hidden projects...

- igraph (🥇32 · ⭐ 1.4K) - Python interface for igraph. ❗️GPL-2.0 - Spektral (🥈28 · ⭐ 2.4K · 💀) - Graph Neural Networks with Keras and Tensorflow 2. MIT - StellarGraph (🥈27 · ⭐ 3K · 💀) - StellarGraph - Machine Learning on Graphs. Apache-2 - pygal (🥈27 · ⭐ 2.7K · 💤) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 - Paddle Graph Learning (🥈26 · ⭐ 1.6K · 💀) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 - AmpliGraph (🥈25 · ⭐ 2.2K · 💀) - Python library for Representation Learning on Knowledge.. Apache-2 - Karate Club (🥉24 · ⭐ 2.2K · 💤) - Karate Club: An API Oriented Open-source Python Framework.. ❗️GPL-3.0 - PyTorch-BigGraph (🥉23 · ⭐ 3.4K · 💀) - Generate embeddings from large-scale graph-structured.. BSD-3 - graph4nlp (🥉22 · ⭐ 1.7K · 💀) - Graph4nlp is the library for the easy use of Graph.. Apache-2 - graph-nets (🥉21 · ⭐ 5.4K · 💀) - Build Graph Nets in Tensorflow. Apache-2 - jraph (🥉21 · ⭐ 1.4K · 💀) - A Graph Neural Network Library in Jax. Apache-2 - pyRDF2Vec (🥉21 · ⭐ 260 · 💀) - Python Implementation and Extension of RDF2Vec. MIT - DeepWalk (🥉20 · ⭐ 2.7K · 💀) - DeepWalk - Deep Learning for Graphs. ❗️GPL-3.0 - DIG (🥉20 · ⭐ 2K · 💀) - A library for graph deep learning research. ❗️GPL-3.0 - deepsnap (🥉20 · ⭐ 560 · 💀) - Python library assists deep learning on graphs. MIT - GraphGym (🥉19 · ⭐ 1.8K · 💀) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT - DeepGraph (🥉18 · ⭐ 290) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 - Sematch (🥉17 · ⭐ 440 · 💀) - semantic similarity framework for knowledge graph. Apache-2 - Euler (🥉16 · ⭐ 2.9K · 💀) - A distributed graph deep learning framework. Apache-2 - AutoGL (🥉16 · ⭐ 1.1K · 💀) - An autoML framework & toolkit for machine learning on graphs. Apache-2 - kglib (🥉16 · ⭐ 550 · 💀) - TypeDB-ML is the Machine Learning integrations library for TypeDB. Apache-2 - ptgnn (🥉15 · ⭐ 380 · 💀) - A PyTorch Graph Neural Network Library. MIT - GraphEmbedding (🥉14 · ⭐ 3.8K · 💀) - Implementation and experiments of graph embedding.. MIT - GraphSAGE (🥉14 · ⭐ 3.5K · 💀) - Representation learning on large graphs using stochastic.. MIT - OpenNE (🥉14 · ⭐ 1.7K · 💀) - An Open-Source Package for Network Embedding (NE). MIT - OpenKE (🥉13 · ⭐ 3.9K · 💀) - An Open-Source Package for Knowledge Embedding (KE). ❗Unlicensed

Audio Data

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

speechbrain (🥇39 · ⭐ 9.8K) - A PyTorch-based Speech Toolkit. Apache-2

- [GitHub](https://github.com/speechbrain/speechbrain) (👨‍💻 260 · 🔀 1.5K · 📦 3.6K · 📋 1.2K - 12% open · ⏱️ 21.05.2025):

git clone https://github.com/speechbrain/speechbrain

- [PyPi](https://pypi.org/project/speechbrain) (📥 1.1M / month · 📦 79 · ⏱️ 07.04.2025):

pip install speechbrain

espnet (🥇38 · ⭐ 9.1K) - End-to-End Speech Processing Toolkit. Apache-2

- [GitHub](https://github.com/espnet/espnet) (👨‍💻 490 · 🔀 2.2K · 📥 84 · 📦 450 · 📋 2.5K - 14% open · ⏱️ 20.05.2025):

git clone https://github.com/espnet/espnet

- [PyPi](https://pypi.org/project/espnet) (📥 18K / month · 📦 12 · ⏱️ 04.12.2024):

pip install espnet

SpeechRecognition (🥈35 · ⭐ 8.7K) - Speech recognition module for Python, supporting several.. BSD-3

- [GitHub](https://github.com/Uberi/speech_recognition) (👨‍💻 54 · 🔀 2.4K · 📦 21 · 📋 670 - 48% open · ⏱️ 18.05.2025):

git clone https://github.com/Uberi/speech_recognition

- [PyPi](https://pypi.org/project/SpeechRecognition) (📥 1.4M / month · 📦 730 · ⏱️ 12.05.2025):

pip install SpeechRecognition

- [Conda](https://anaconda.org/conda-forge/speechrecognition) (📥 260K · ⏱️ 12.05.2025):

conda install -c conda-forge speechrecognition

librosa (🥈35 · ⭐ 7.6K) - Python library for audio and music analysis. ISC

- [GitHub](https://github.com/librosa/librosa) (👨‍💻 130 · 🔀 980 · 📋 1.2K - 5% open · ⏱️ 19.05.2025):

git clone https://github.com/librosa/librosa

- [PyPi](https://pypi.org/project/librosa) (📥 3.6M / month · 📦 1.6K · ⏱️ 11.03.2025):

pip install librosa

- [Conda](https://anaconda.org/conda-forge/librosa) (📥 900K · ⏱️ 22.04.2025):

conda install -c conda-forge librosa

torchaudio (🥈35 · ⭐ 2.7K) - Data manipulation and transformation for audio signal.. BSD-2

- [GitHub](https://github.com/pytorch/audio) (👨‍💻 240 · 🔀 690 · 📋 1K - 28% open · ⏱️ 20.05.2025):

git clone https://github.com/pytorch/audio

- [PyPi](https://pypi.org/project/torchaudio) (📥 13M / month · 📦 1.9K · ⏱️ 23.04.2025):

pip install torchaudio

spleeter (🥈33 · ⭐ 27K) - Deezer source separation library including pretrained models. MIT

- [GitHub](https://github.com/deezer/spleeter) (👨‍💻 22 · 🔀 2.9K · 📥 4M · 📦 1K · 📋 820 - 31% open · ⏱️ 02.04.2025):

git clone https://github.com/deezer/spleeter

- [PyPi](https://pypi.org/project/spleeter) (📥 34K / month · 📦 18 · ⏱️ 03.04.2025):

pip install spleeter

- [Conda](https://anaconda.org/conda-forge/spleeter) (📥 110K · ⏱️ 22.04.2025):

conda install -c conda-forge spleeter

Magenta (🥈33 · ⭐ 19K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2

- [GitHub](https://github.com/magenta/magenta) (👨‍💻 160 · 🔀 3.7K · 📦 580 · 📋 1K - 41% open · ⏱️ 17.01.2025):

git clone https://github.com/magenta/magenta

- [PyPi](https://pypi.org/project/magenta) (📥 8.1K / month · 📦 5 · ⏱️ 01.08.2022):

pip install magenta

python-soundfile (🥈32 · ⭐ 770) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3

- [GitHub](https://github.com/bastibe/python-soundfile) (👨‍💻 38 · 🔀 110 · 📥 21K · 📦 65K · 📋 260 - 46% open · ⏱️ 28.04.2025):

git clone https://github.com/bastibe/python-soundfile

- [PyPi](https://pypi.org/project/soundfile) (📥 6.3M / month · 📦 1.1K · ⏱️ 25.01.2025):

pip install soundfile

- [Conda](https://anaconda.org/anaconda/pysoundfile):

conda install -c anaconda pysoundfile

Porcupine (🥈31 · ⭐ 4.1K) - On-device wake word detection powered by deep learning. Apache-2

- [GitHub](https://github.com/Picovoice/porcupine) (👨‍💻 42 · 🔀 520 · 📦 48 · 📋 570 - 0% open · ⏱️ 06.05.2025):

git clone https://github.com/Picovoice/Porcupine

- [PyPi](https://pypi.org/project/pvporcupine) (📥 24K / month · 📦 38 · ⏱️ 05.02.2025):

pip install pvporcupine

audiomentations (🥈31 · ⭐ 2K) - A Python library for audio data augmentation. Useful for making.. MIT

- [GitHub](https://github.com/iver56/audiomentations) (👨‍💻 33 · 🔀 200 · 📦 790 · 📋 200 - 26% open · ⏱️ 05.05.2025):

git clone https://github.com/iver56/audiomentations

- [PyPi](https://pypi.org/project/audiomentations) (📥 270K / month · 📦 28 · ⏱️ 05.05.2025):

pip install audiomentations

tinytag (🥉29 · ⭐ 760) - Python library for reading audio file metadata. MIT

- [GitHub](https://github.com/tinytag/tinytag) (👨‍💻 27 · 🔀 100 · 📦 1.2K · 📋 120 - 3% open · ⏱️ 05.05.2025):

git clone https://github.com/devsnd/tinytag

- [PyPi](https://pypi.org/project/tinytag) (📥 69K / month · 📦 120 · ⏱️ 23.04.2025):

pip install tinytag

pyAudioAnalysis (🥉28 · ⭐ 6.1K) - Python Audio Analysis Library: Feature Extraction,.. Apache-2

- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (👨‍💻 28 · 🔀 1.2K · 📦 640 · 📋 320 - 62% open · ⏱️ 28.03.2025):

git clone https://github.com/tyiannak/pyAudioAnalysis

- [PyPi](https://pypi.org/project/pyAudioAnalysis) (📥 17K / month · 📦 12 · ⏱️ 07.02.2022):

pip install pyAudioAnalysis

Madmom (🥉27 · ⭐ 1.4K · 💤) - Python audio and music signal processing library. BSD-3

- [GitHub](https://github.com/CPJKU/madmom) (👨‍💻 24 · 🔀 240 · 📦 500 · 📋 280 - 24% open · ⏱️ 25.08.2024):

git clone https://github.com/CPJKU/madmom

- [PyPi](https://pypi.org/project/madmom) (📥 3.7K / month · 📦 27 · ⏱️ 14.11.2018):

pip install madmom

DDSP (🥉25 · ⭐ 3K · 💤) - DDSP: Differentiable Digital Signal Processing. Apache-2

- [GitHub](https://github.com/magenta/ddsp) (👨‍💻 32 · 🔀 340 · 📦 68 · 📋 170 - 28% open · ⏱️ 23.09.2024):

git clone https://github.com/magenta/ddsp

- [PyPi](https://pypi.org/project/ddsp) (📥 3.6K / month · 📦 1 · ⏱️ 25.05.2022):

pip install ddsp

- [Conda](https://anaconda.org/conda-forge/ddsp) (📥 22K · ⏱️ 22.04.2025):

conda install -c conda-forge ddsp

nnAudio (🥉23 · ⭐ 1.1K) - Audio processing by using pytorch 1D convolution network. MIT

- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (👨‍💻 16 · 🔀 93 · 📦 370 · 📋 63 - 28% open · ⏱️ 16.05.2025):

git clone https://github.com/KinWaiCheuk/nnAudio

- [PyPi](https://pypi.org/project/nnAudio) (📥 54K / month · 📦 4 · ⏱️ 13.02.2024):

pip install nnAudio

Julius (🥉23 · ⭐ 440) - Fast PyTorch based DSP for audio and 1D signals. MIT

- [GitHub](https://github.com/adefossez/julius) (👨‍💻 3 · 🔀 25 · 📦 2.9K · 📋 12 - 16% open · ⏱️ 17.02.2025):

git clone https://github.com/adefossez/julius

- [PyPi](https://pypi.org/project/julius) (📥 490K / month · 📦 44 · ⏱️ 20.09.2022):

pip install julius

DeepSpeech (🥉22 · ⭐ 26K) - DeepSpeech is an open source embedded (offline, on-device).. MPL-2.0

- [GitHub](https://github.com/mozilla/DeepSpeech) (👨‍💻 140 · 🔀 4K):

git clone https://github.com/mozilla/DeepSpeech

- [PyPi](https://pypi.org/project/deepspeech) (📥 5.7K / month · 📦 24 · ⏱️ 19.12.2020):

pip install deepspeech

- [Conda](https://anaconda.org/conda-forge/deepspeech) (📥 3.8K · ⏱️ 22.04.2025):

conda install -c conda-forge deepspeech

Show 12 hidden projects...

- Coqui TTS (🥇36 · ⭐ 40K · 💀) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 - Pydub (🥇36 · ⭐ 9.4K · 💀) - Manipulate audio with a simple and easy high level interface. MIT - audioread (🥉30 · ⭐ 510 · 💀) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio.. MIT - Essentia (🥉29 · ⭐ 3.1K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 - aubio (🥉28 · ⭐ 3.4K) - a library for audio and music analysis. ❗️GPL-3.0 - TTS (🥉26 · ⭐ 9.8K · 💀) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 - python_speech_features (🥉25 · ⭐ 2.4K · 💀) - This library provides common speech features for ASR.. MIT - Dejavu (🥉23 · ⭐ 6.6K · 💀) - Audio fingerprinting and recognition in Python. MIT - kapre (🥉22 · ⭐ 930 · 💀) - kapre: Keras Audio Preprocessors. MIT - TimeSide (🥉21 · ⭐ 380 · 💤) - scalable audio processing framework and server written in.. ❗️AGPL-3.0 - Muda (🥉17 · ⭐ 230 · 💀) - A library for augmenting annotated audio data. ISC - textlesslib (🥉10 · ⭐ 540 · 💀) - Library for Textless Spoken Language Processing. MIT

Geospatial Data

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

pydeck (🥇43 · ⭐ 13K) - WebGL2 powered visualization framework. MIT

- [GitHub](https://github.com/visgl/deck.gl) (👨‍💻 290 · 🔀 2.1K · 📦 9.1K · 📋 3.2K - 13% open · ⏱️ 21.05.2025):

git clone https://github.com/visgl/deck.gl

- [PyPi](https://pypi.org/project/pydeck) (📥 8.9M / month · 📦 160 · ⏱️ 21.03.2025):

pip install pydeck

- [Conda](https://anaconda.org/conda-forge/pydeck) (📥 750K · ⏱️ 22.04.2025):

conda install -c conda-forge pydeck

- [npm](https://www.npmjs.com/package/deck.gl) (📥 560K / month · 📦 350 · ⏱️ 14.05.2025):

npm install deck.gl

Shapely (🥇41 · ⭐ 4.1K) - Manipulation and analysis of geometric objects. BSD-3

- [GitHub](https://github.com/shapely/shapely) (👨‍💻 170 · 🔀 590 · 📥 3.8K · 📦 110K · 📋 1.3K - 18% open · ⏱️ 19.05.2025):

git clone https://github.com/shapely/shapely

- [PyPi](https://pypi.org/project/shapely) (📥 50M / month · 📦 4.2K · ⏱️ 19.05.2025):

pip install shapely

- [Conda](https://anaconda.org/conda-forge/shapely) (📥 12M · ⏱️ 19.05.2025):

conda install -c conda-forge shapely

folium (🥇40 · ⭐ 7.1K) - Python Data. Leaflet.js Maps. MIT

- [GitHub](https://github.com/python-visualization/folium) (👨‍💻 170 · 🔀 2.2K · 📦 61K · 📋 1.2K - 6% open · ⏱️ 17.05.2025):

git clone https://github.com/python-visualization/folium

- [PyPi](https://pypi.org/project/folium) (📥 2.2M / month · 📦 980 · ⏱️ 15.05.2025):

pip install folium

- [Conda](https://anaconda.org/conda-forge/folium) (📥 3.8M · ⏱️ 16.05.2025):

conda install -c conda-forge folium

GeoPandas (🥈38 · ⭐ 4.8K) - Python tools for geographic data. BSD-3

- [GitHub](https://github.com/geopandas/geopandas) (👨‍💻 240 · 🔀 950 · 📥 3K · 📦 57K · 📋 1.7K - 25% open · ⏱️ 21.05.2025):

git clone https://github.com/geopandas/geopandas

- [PyPi](https://pypi.org/project/geopandas) (📥 7.9M / month · 📦 2.8K · ⏱️ 02.07.2024):

pip install geopandas

- [Conda](https://anaconda.org/conda-forge/geopandas) (📥 4.7M · ⏱️ 22.04.2025):

conda install -c conda-forge geopandas

Rasterio (🥈38 · ⭐ 2.4K) - Rasterio reads and writes geospatial raster datasets. BSD-3

- [GitHub](https://github.com/rasterio/rasterio) (👨‍💻 170 · 🔀 540 · 📥 1K · 📦 17K · 📋 1.9K - 8% open · ⏱️ 20.05.2025):

git clone https://github.com/rasterio/rasterio

- [PyPi](https://pypi.org/project/rasterio) (📥 2.3M / month · 📦 1.5K · ⏱️ 02.12.2024):

pip install rasterio

- [Conda](https://anaconda.org/conda-forge/rasterio) (📥 4.7M · ⏱️ 22.04.2025):

conda install -c conda-forge rasterio

ArcGIS API (🥈36 · ⭐ 2K) - Documentation and samples for ArcGIS API for Python. Apache-2

- [GitHub](https://github.com/Esri/arcgis-python-api) (👨‍💻 97 · 🔀 1.1K · 📥 15K · 📦 960 · 📋 850 - 9% open · ⏱️ 15.05.2025):

git clone https://github.com/Esri/arcgis-python-api

- [PyPi](https://pypi.org/project/arcgis) (📥 130K / month · 📦 41 · ⏱️ 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 (🥈36 · ⭐ 1.1K · 📉) - Python interface to PROJ (cartographic projections and coordinate.. MIT

- [GitHub](https://github.com/pyproj4/pyproj) (👨‍💻 71 · 🔀 220 · 📦 44K · 📋 640 - 5% open · ⏱️ 05.05.2025):

git clone https://github.com/pyproj4/pyproj

- [PyPi](https://pypi.org/project/pyproj) (📥 11M / month · 📦 1.9K · ⏱️ 16.02.2025):

pip install pyproj

- [Conda](https://anaconda.org/conda-forge/pyproj) (📥 10M · ⏱️ 22.04.2025):

conda install -c conda-forge pyproj

Fiona (🥈35 · ⭐ 1.2K) - Fiona reads and writes geographic data files. BSD-3

- [GitHub](https://github.com/Toblerity/Fiona) (👨‍💻 78 · 🔀 210 · 📦 26K · 📋 810 - 4% open · ⏱️ 20.02.2025):

git clone https://github.com/Toblerity/Fiona

- [PyPi](https://pypi.org/project/fiona) (📥 4.4M / month · 📦 380 · ⏱️ 16.09.2024):

pip install fiona

- [Conda](https://anaconda.org/conda-forge/fiona) (📥 6.9M · ⏱️ 22.04.2025):

conda install -c conda-forge fiona

ipyleaflet (🥉33 · ⭐ 1.5K) - A Jupyter - Leaflet.js bridge. MIT

- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (👨‍💻 92 · 🔀 360 · 📦 17K · 📋 660 - 45% open · ⏱️ 05.12.2024):

git clone https://github.com/jupyter-widgets/ipyleaflet

- [PyPi](https://pypi.org/project/ipyleaflet) (📥 230K / month · 📦 280 · ⏱️ 22.07.2024):

pip install ipyleaflet

- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (📥 1.4M · ⏱️ 22.04.2025):

conda install -c conda-forge ipyleaflet

- [npm](https://www.npmjs.com/package/jupyter-leaflet) (📥 1.8K / month · 📦 9 · ⏱️ 22.07.2024):

npm install jupyter-leaflet

geojson (🥉31 · ⭐ 960) - Python bindings and utilities for GeoJSON. BSD-3

- [GitHub](https://github.com/jazzband/geojson) (👨‍💻 58 · 🔀 120 · 📦 20K · 📋 100 - 25% open · ⏱️ 21.12.2024):

git clone https://github.com/jazzband/geojson

- [PyPi](https://pypi.org/project/geojson) (📥 2.9M / month · 📦 720 · ⏱️ 21.12.2024):

pip install geojson

- [Conda](https://anaconda.org/conda-forge/geojson) (📥 970K · ⏱️ 22.04.2025):

conda install -c conda-forge geojson

PySAL (🥉30 · ⭐ 1.4K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3

- [GitHub](https://github.com/pysal/pysal) (👨‍💻 79 · 🔀 300 · 📦 1.8K · 📋 660 - 3% open · ⏱️ 06.02.2025):

git clone https://github.com/pysal/pysal

- [PyPi](https://pypi.org/project/pysal) (📥 29K / month · 📦 59 · ⏱️ 06.02.2025):

pip install pysal

- [Conda](https://anaconda.org/conda-forge/pysal) (📥 630K · ⏱️ 22.04.2025):

conda install -c conda-forge pysal

EarthPy (🥉29 · ⭐ 520 · 📈) - A package built to support working with spatial data using open.. BSD-3

- [GitHub](https://github.com/earthlab/earthpy) (👨‍💻 44 · 🔀 160 · 📥 36 · 📦 430 · 📋 250 - 16% open · ⏱️ 21.05.2025):

git clone https://github.com/earthlab/earthpy

- [PyPi](https://pypi.org/project/earthpy) (📥 12K / month · 📦 17 · ⏱️ 01.10.2021):

pip install earthpy

- [Conda](https://anaconda.org/conda-forge/earthpy) (📥 92K · ⏱️ 22.04.2025):

conda install -c conda-forge earthpy

GeoViews (🥉28 · ⭐ 610) - Simple, concise geographical visualization in Python. BSD-3

- [GitHub](https://github.com/holoviz/geoviews) (👨‍💻 33 · 🔀 77 · 📦 1.3K · 📋 360 - 31% open · ⏱️ 21.05.2025):

git clone https://github.com/holoviz/geoviews

- [PyPi](https://pypi.org/project/geoviews) (📥 17K / month · 📦 63 · ⏱️ 17.12.2024):

pip install geoviews

- [Conda](https://anaconda.org/conda-forge/geoviews) (📥 300K · ⏱️ 22.04.2025):

conda install -c conda-forge geoviews

Mapbox GL (🥉24 · ⭐ 680) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT

- [GitHub](https://github.com/mapbox/mapboxgl-jupyter) (👨‍💻 23 · 🔀 140 · 📦 240 · 📋 110 - 38% open · ⏱️ 06.02.2025):

git clone https://github.com/mapbox/mapboxgl-jupyter

- [PyPi](https://pypi.org/project/mapboxgl) (📥 10K / month · 📦 12 · ⏱️ 02.06.2019):

pip install mapboxgl

pymap3d (🥉24 · ⭐ 420) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. BSD-2

- [GitHub](https://github.com/geospace-code/pymap3d) (👨‍💻 19 · 🔀 87 · 📦 510 · 📋 60 - 15% open · ⏱️ 08.01.2025):

git clone https://github.com/geospace-code/pymap3d

- [PyPi](https://pypi.org/project/pymap3d) (📥 350K / month · 📦 44 · ⏱️ 11.02.2024):

pip install pymap3d

- [Conda](https://anaconda.org/conda-forge/pymap3d) (📥 100K · ⏱️ 22.04.2025):

conda install -c conda-forge pymap3d

Show 7 hidden projects...

- Satpy (🥈34 · ⭐ 1.1K) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 - geopy (🥉33 · ⭐ 4.6K · 💀) - Geocoding library for Python. MIT - Geocoder (🥉33 · ⭐ 1.6K · 💀) - Python Geocoder. MIT - Sentinelsat (🥉27 · ⭐ 1K · 💀) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 - prettymaps (🥉26 · ⭐ 12K) - Draw pretty maps from OpenStreetMap data! Built with osmnx.. ❗️AGPL-3.0 - gmaps (🥉23 · ⭐ 760 · 💀) - Google maps for Jupyter notebooks. BSD-3 - geoplotlib (🥉22 · ⭐ 1K · 💀) - python toolbox for visualizing geographical data and making maps. MIT

Financial Data

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

yfinance (🥇43 · ⭐ 18K) - Download market data from Yahoo! Finances API. Apache-2

- [GitHub](https://github.com/ranaroussi/yfinance) (👨‍💻 130 · 🔀 2.7K · 📦 79K · 📋 1.6K - 9% open · ⏱️ 14.05.2025):

git clone https://github.com/ranaroussi/yfinance

- [PyPi](https://pypi.org/project/yfinance) (📥 3.5M / month · 📦 970 · ⏱️ 12.05.2025):

pip install yfinance

- [Conda](https://anaconda.org/ranaroussi/yfinance) (📥 98K · ⏱️ 25.03.2025):

conda install -c ranaroussi yfinance

Qlib (🥇32 · ⭐ 20K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT

- [GitHub](https://github.com/microsoft/qlib) (👨‍💻 140 · 🔀 3.2K · 📥 800 · 📦 21 · 📋 970 - 25% open · ⏱️ 22.05.2025):

git clone https://github.com/microsoft/qlib

- [PyPi](https://pypi.org/project/pyqlib) (📥 8.9K / month · 📦 1 · ⏱️ 23.12.2024):

pip install pyqlib

bt (🥈30 · ⭐ 2.5K) - bt - flexible backtesting for Python. MIT

- [GitHub](https://github.com/pmorissette/bt) (👨‍💻 34 · 🔀 440 · 📦 1.7K · 📋 350 - 23% open · ⏱️ 08.04.2025):

git clone https://github.com/pmorissette/bt

- [PyPi](https://pypi.org/project/bt) (📥 8.4K / month · 📦 15 · ⏱️ 12.04.2025):

pip install bt

- [Conda](https://anaconda.org/conda-forge/bt) (📥 85K · ⏱️ 22.04.2025):

conda install -c conda-forge bt

TensorTrade (🥉27 · ⭐ 5.2K · 💤) - An open source reinforcement learning framework for.. Apache-2

- [GitHub](https://github.com/tensortrade-org/tensortrade) (👨‍💻 61 · 🔀 1.1K · 📦 70 · 📋 260 - 20% open · ⏱️ 09.06.2024):

git clone https://github.com/tensortrade-org/tensortrade

- [PyPi](https://pypi.org/project/tensortrade) (📥 1.2K / month · 📦 1 · ⏱️ 10.05.2021):

pip install tensortrade

- [Conda](https://anaconda.org/conda-forge/tensortrade) (📥 4.9K · ⏱️ 22.04.2025):

conda install -c conda-forge tensortrade

Alpha Vantage (🥉27 · ⭐ 4.5K) - A python wrapper for Alpha Vantage API for financial data. MIT

- [GitHub](https://github.com/RomelTorres/alpha_vantage) (👨‍💻 44 · 🔀 750 · 📋 290 - 0% open · ⏱️ 01.05.2025):

git clone https://github.com/RomelTorres/alpha_vantage

- [PyPi](https://pypi.org/project/alpha_vantage) (📥 64K / month · 📦 35 · ⏱️ 18.07.2024):

pip install alpha_vantage

- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (📥 9.1K · ⏱️ 22.04.2025):

conda install -c conda-forge alpha_vantage

ffn (🥉27 · ⭐ 2.3K) - ffn - a financial function library for Python. MIT

- [GitHub](https://github.com/pmorissette/ffn) (👨‍💻 36 · 🔀 320 · 📦 560 · 📋 140 - 17% open · ⏱️ 01.04.2025):

git clone https://github.com/pmorissette/ffn

- [PyPi](https://pypi.org/project/ffn) (📥 24K / month · 📦 22 · ⏱️ 11.02.2025):

pip install ffn

- [Conda](https://anaconda.org/conda-forge/ffn) (📥 20K · ⏱️ 22.04.2025):

conda install -c conda-forge ffn

finmarketpy (🥉25 · ⭐ 3.6K) - Python library for backtesting trading strategies & analyzing.. Apache-2

- [GitHub](https://github.com/cuemacro/finmarketpy) (👨‍💻 19 · 🔀 510 · 📥 57 · 📦 16 · 📋 35 - 88% open · ⏱️ 10.03.2025):

git clone https://github.com/cuemacro/finmarketpy

- [PyPi](https://pypi.org/project/finmarketpy) (📥 370 / month · ⏱️ 10.03.2025):

pip install finmarketpy

stockstats (🥉23 · ⭐ 1.4K · 📉) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3

- [GitHub](https://github.com/jealous/stockstats) (👨‍💻 10 · 🔀 300 · 📋 130 - 10% open · ⏱️ 18.05.2025):

git clone https://github.com/jealous/stockstats

- [PyPi](https://pypi.org/project/stockstats) (📥 14K / month · 📦 14 · ⏱️ 18.05.2025):

pip install stockstats

tf-quant-finance (🥉21 · ⭐ 4.9K) - High-performance TensorFlow library for quantitative.. Apache-2

- [GitHub](https://github.com/google/tf-quant-finance) (👨‍💻 48 · 🔀 600 · 📋 63 - 55% open · ⏱️ 21.03.2025):

git clone https://github.com/google/tf-quant-finance

- [PyPi](https://pypi.org/project/tf-quant-finance) (📥 460 / month · 📦 3 · ⏱️ 19.08.2022):

pip install tf-quant-finance

Show 16 hidden projects...

- zipline (🥇33 · ⭐ 18K · 💀) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2 - pyfolio (🥇32 · ⭐ 6K · 💀) - Portfolio and risk analytics in Python. Apache-2 - ta (🥈31 · ⭐ 4.6K · 💀) - Technical Analysis Library using Pandas and Numpy. MIT - arch (🥈30 · ⭐ 1.4K) - ARCH models in Python. ❗Unlicensed - backtrader (🥈29 · ⭐ 17K · 💀) - Python Backtesting library for trading strategies. ❗️GPL-3.0 - Alphalens (🥈28 · ⭐ 3.7K · 💀) - Performance analysis of predictive (alpha) stock factors. Apache-2 - IB-insync (🥈28 · ⭐ 3K · 💀) - Python sync/async framework for Interactive Brokers API. BSD-2 - empyrical (🥈28 · ⭐ 1.4K · 💀) - Common financial risk and performance metrics. Used by.. Apache-2 - Backtesting.py (🥉27 · ⭐ 6.5K) - Backtest trading strategies in Python. ❗️AGPL-3.0 - Enigma Catalyst (🥉26 · ⭐ 2.5K · 💀) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2 - PyAlgoTrade (🥉24 · ⭐ 4.5K · 💀) - Python Algorithmic Trading Library. Apache-2 - FinTA (🥉24 · ⭐ 2.2K · 💀) - Common financial technical indicators implemented in Pandas. ❗️LGPL-3.0 - Crypto Signals (🥉22 · ⭐ 5.2K · 💀) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT - FinQuant (🥉22 · ⭐ 1.5K · 💀) - A program for financial portfolio management, analysis and.. MIT - surpriver (🥉12 · ⭐ 1.8K · 💀) - Find big moving stocks before they move using machine.. ❗️GPL-3.0 - pyrtfolio (🥉9 · ⭐ 150 · 💀) - Python package to generate stock portfolios. ❗️GPL-3.0

Time Series Data

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

sktime (🥇40 · ⭐ 8.4K) - A unified framework for machine learning with time series. BSD-3

- [GitHub](https://github.com/sktime/sktime) (👨‍💻 460 · 🔀 1.5K · 📥 110 · 📦 4.5K · 📋 2.9K - 38% open · ⏱️ 20.05.2025):

git clone https://github.com/alan-turing-institute/sktime

- [PyPi](https://pypi.org/project/sktime) (📥 950K / month · 📦 140 · ⏱️ 12.04.2025):

pip install sktime

- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (📥 1.1M · ⏱️ 22.04.2025):

conda install -c conda-forge sktime-all-extras

Prophet (🥇34 · ⭐ 19K) - Tool for producing high quality forecasts for time series data that has.. MIT

- [GitHub](https://github.com/facebook/prophet) (👨‍💻 190 · 🔀 4.5K · 📥 3K · 📦 21 · 📋 2.2K - 20% open · ⏱️ 17.05.2025):

git clone https://github.com/facebook/prophet

- [PyPi](https://pypi.org/project/fbprophet) (📥 150K / month · 📦 91 · ⏱️ 05.09.2020):

pip install fbprophet

- [Conda](https://anaconda.org/conda-forge/prophet) (📥 1.4M · ⏱️ 22.04.2025):

conda install -c conda-forge prophet

Darts (🥇33 · ⭐ 8.6K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2

- [GitHub](https://github.com/unit8co/darts) (👨‍💻 130 · 🔀 920 · 📋 1.7K - 14% open · ⏱️ 16.05.2025):

git clone https://github.com/unit8co/darts

- [PyPi](https://pypi.org/project/u8darts) (📥 71K / month · 📦 10 · ⏱️ 18.04.2025):

pip install u8darts

- [Conda](https://anaconda.org/conda-forge/u8darts-all) (📥 79K · ⏱️ 22.04.2025):

conda install -c conda-forge u8darts-all

- [Docker Hub](https://hub.docker.com/r/unit8/darts) (📥 1.6K · ⏱️ 18.04.2025):

docker pull unit8/darts

StatsForecast (🥇33 · ⭐ 4.4K) - Lightning fast forecasting with statistical and econometric.. Apache-2

- [GitHub](https://github.com/Nixtla/statsforecast) (👨‍💻 51 · 🔀 310 · 📦 1.7K · 📋 360 - 30% open · ⏱️ 29.04.2025):

git clone https://github.com/Nixtla/statsforecast

- [PyPi](https://pypi.org/project/statsforecast) (📥 840K / month · 📦 68 · ⏱️ 18.02.2025):

pip install statsforecast

- [Conda](https://anaconda.org/conda-forge/statsforecast) (📥 180K · ⏱️ 22.04.2025):

conda install -c conda-forge statsforecast

tsfresh (🥈32 · ⭐ 8.8K) - Automatic extraction of relevant features from time series:. MIT

- [GitHub](https://github.com/blue-yonder/tsfresh) (👨‍💻 99 · 🔀 1.2K · 📦 21 · 📋 550 - 12% open · ⏱️ 16.02.2025):

git clone https://github.com/blue-yonder/tsfresh

- [PyPi](https://pypi.org/project/tsfresh) (📥 240K / month · 📦 100 · ⏱️ 16.02.2025):

pip install tsfresh

- [Conda](https://anaconda.org/conda-forge/tsfresh) (📥 1.4M · ⏱️ 22.04.2025):

conda install -c conda-forge tsfresh

pytorch-forecasting (🥈32 · ⭐ 4.3K) - Time series forecasting with PyTorch. MIT

- [GitHub](https://github.com/sktime/pytorch-forecasting) (👨‍💻 69 · 🔀 670 · 📦 610 · 📋 850 - 61% open · ⏱️ 18.05.2025):

git clone https://github.com/jdb78/pytorch-forecasting

- [PyPi](https://pypi.org/project/pytorch-forecasting) (📥 130K / month · 📦 22 · ⏱️ 06.02.2025):

pip install pytorch-forecasting

- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (📥 78K · ⏱️ 22.04.2025):

conda install -c conda-forge pytorch-forecasting

NeuralForecast (🥈32 · ⭐ 3.5K) - Scalable and user friendly neural forecasting algorithms. Apache-2

- [GitHub](https://github.com/Nixtla/neuralforecast) (👨‍💻 50 · 🔀 410 · 📦 380 · 📋 620 - 17% open · ⏱️ 16.05.2025):

git clone https://github.com/Nixtla/neuralforecast

- [PyPi](https://pypi.org/project/neuralforecast) (📥 100K / month · 📦 28 · ⏱️ 13.05.2025):

pip install neuralforecast

- [Conda](https://anaconda.org/conda-forge/neuralforecast) (📥 38K · ⏱️ 22.04.2025):

conda install -c conda-forge neuralforecast

pmdarima (🥈32 · ⭐ 1.6K) - A statistical library designed to fill the void in Pythons time series.. MIT

- [GitHub](https://github.com/alkaline-ml/pmdarima) (👨‍💻 23 · 🔀 240 · 📦 12K · 📋 340 - 19% open · ⏱️ 07.11.2024):

git clone https://github.com/alkaline-ml/pmdarima

- [PyPi](https://pypi.org/project/pmdarima) (📥 2.4M / month · 📦 150 · ⏱️ 23.10.2023):

pip install pmdarima

- [Conda](https://anaconda.org/conda-forge/pmdarima) (📥 1.3M · ⏱️ 22.04.2025):

conda install -c conda-forge pmdarima

skforecast (🥈32 · ⭐ 1.3K) - Time series forecasting with machine learning models. BSD-3

- [GitHub](https://github.com/skforecast/skforecast) (👨‍💻 20 · 🔀 160 · 📦 470 · 📋 200 - 14% open · ⏱️ 01.05.2025):

git clone https://github.com/JoaquinAmatRodrigo/skforecast

- [PyPi](https://pypi.org/project/skforecast) (📥 77K / month · 📦 18 · ⏱️ 01.05.2025):

pip install skforecast

STUMPY (🥈31 · ⭐ 3.9K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3

- [GitHub](https://github.com/TDAmeritrade/stumpy) (👨‍💻 40 · 🔀 330 · 📦 1.3K · 📋 540 - 13% open · ⏱️ 08.04.2025):

git clone https://github.com/TDAmeritrade/stumpy

- [PyPi](https://pypi.org/project/stumpy) (📥 300K / month · 📦 30 · ⏱️ 09.07.2024):

pip install stumpy

- [Conda](https://anaconda.org/conda-forge/stumpy) (📥 1.1M · ⏱️ 22.04.2025):

conda install -c conda-forge stumpy

tslearn (🥈31 · ⭐ 3K · 💤) - The machine learning toolkit for time series analysis in Python. BSD-2

- [GitHub](https://github.com/tslearn-team/tslearn) (👨‍💻 43 · 🔀 340 · 📦 1.8K · 📋 340 - 41% open · ⏱️ 01.07.2024):

git clone https://github.com/tslearn-team/tslearn

- [PyPi](https://pypi.org/project/tslearn) (📥 340K / month · 📦 79 · ⏱️ 12.12.2023):

pip install tslearn

- [Conda](https://anaconda.org/conda-forge/tslearn) (📥 1.6M · ⏱️ 22.04.2025):

conda install -c conda-forge tslearn

GluonTS (🥈30 · ⭐ 4.9K) - Probabilistic time series modeling in Python. Apache-2

- [GitHub](https://github.com/awslabs/gluonts) (👨‍💻 120 · 🔀 780 · 📋 970 - 34% open · ⏱️ 08.04.2025):

git clone https://github.com/awslabs/gluon-ts

- [PyPi](https://pypi.org/project/gluonts) (📥 630K / month · 📦 36 · ⏱️ 08.04.2025):

pip install gluonts

- [Conda](https://anaconda.org/anaconda/gluonts) (📥 2K · ⏱️ 22.04.2025):

conda install -c anaconda gluonts

Streamz (🥉29 · ⭐ 1.3K) - Real-time stream processing for python. BSD-3

- [GitHub](https://github.com/python-streamz/streamz) (👨‍💻 49 · 🔀 150 · 📦 550 · 📋 270 - 44% open · ⏱️ 22.11.2024):

git clone https://github.com/python-streamz/streamz

- [PyPi](https://pypi.org/project/streamz) (📥 27K / month · 📦 57 · ⏱️ 27.07.2022):

pip install streamz

- [Conda](https://anaconda.org/conda-forge/streamz) (📥 2.1M · ⏱️ 22.04.2025):

conda install -c conda-forge streamz

pyts (🥉27 · ⭐ 1.8K) - A Python package for time series classification. BSD-3

- [GitHub](https://github.com/johannfaouzi/pyts) (👨‍💻 15 · 🔀 170 · 📦 870 · 📋 87 - 58% open · ⏱️ 27.04.2025):

git clone https://github.com/johannfaouzi/pyts

- [PyPi](https://pypi.org/project/pyts) (📥 120K / month · 📦 45 · ⏱️ 18.06.2023):

pip install pyts

- [Conda](https://anaconda.org/conda-forge/pyts) (📥 33K · ⏱️ 22.04.2025):

conda install -c conda-forge pyts

NeuralProphet (🥉26 · ⭐ 4.1K · 💤) - NeuralProphet: A simple forecasting package. MIT

- [GitHub](https://github.com/ourownstory/neural_prophet) (👨‍💻 55 · 🔀 490 · 📋 560 - 11% open · ⏱️ 13.09.2024):

git clone https://github.com/ourownstory/neural_prophet

- [PyPi](https://pypi.org/project/neuralprophet) (📥 87K / month · 📦 8 · ⏱️ 26.06.2024):

pip install neuralprophet

greykite (🥉22 · ⭐ 1.8K) - A flexible, intuitive and fast forecasting library. BSD-2

- [GitHub](https://github.com/linkedin/greykite) (👨‍💻 10 · 🔀 110 · 📥 36 · 📦 44 · 📋 110 - 10% open · ⏱️ 20.02.2025):

git clone https://github.com/linkedin/greykite

- [PyPi](https://pypi.org/project/greykite) (📥 6.9K / month · ⏱️ 20.02.2025):

pip install greykite

TSFEL (🥉21 · ⭐ 1K · 💤) - An intuitive library to extract features from time series. BSD-3

- [GitHub](https://github.com/fraunhoferportugal/tsfel) (👨‍💻 20 · 🔀 140 · 📦 210 · 📋 82 - 12% open · ⏱️ 17.10.2024):

git clone https://github.com/fraunhoferportugal/tsfel

- [PyPi](https://pypi.org/project/tsfel) (📥 6.8K / month · 📦 7 · ⏱️ 12.09.2024):

pip install tsfel

pydlm (🥉21 · ⭐ 480 · 💤) - A python library for Bayesian time series modeling. BSD-3

- [GitHub](https://github.com/wwrechard/pydlm) (👨‍💻 7 · 🔀 98 · 📦 41 · 📋 51 - 70% open · ⏱️ 07.09.2024):

git clone https://github.com/wwrechard/pydlm

- [PyPi](https://pypi.org/project/pydlm) (📥 71K / month · 📦 2 · ⏱️ 13.08.2024):

pip install pydlm

tsflex (🥉20 · ⭐ 420 · 💤) - Flexible time series feature extraction & processing. MIT

- [GitHub](https://github.com/predict-idlab/tsflex) (👨‍💻 6 · 🔀 26 · 📦 22 · 📋 56 - 58% open · ⏱️ 06.09.2024):

git clone https://github.com/predict-idlab/tsflex

- [PyPi](https://pypi.org/project/tsflex) (📥 1.9K / month · 📦 2 · ⏱️ 06.09.2024):

pip install tsflex

- [Conda](https://anaconda.org/conda-forge/tsflex) (📥 33K · ⏱️ 22.04.2025):

conda install -c conda-forge tsflex

Auto TS (🥉18 · ⭐ 760 · 💤) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2

- [GitHub](https://github.com/AutoViML/Auto_TS) (👨‍💻 13 · 🔀 120 · 📋 90 - 2% open · ⏱️ 05.05.2024):

git clone https://github.com/AutoViML/Auto_TS

- [PyPi](https://pypi.org/project/auto-ts) (📥 2.2K / month · ⏱️ 05.05.2024):

pip install auto-ts

Show 9 hidden projects...

- PyFlux (🥉25 · ⭐ 2.1K · 💀) - Open source time series library for Python. BSD-3 - ADTK (🥉23 · ⭐ 1.2K · 💀) - A Python toolkit for rule-based/unsupervised anomaly detection in.. MPL-2.0 - luminol (🥉21 · ⭐ 1.2K · 💀) - Anomaly Detection and Correlation library. Apache-2 - seglearn (🥉21 · ⭐ 580 · 💀) - Python module for machine learning time series:. BSD-3 - tick (🥉20 · ⭐ 510 · 💀) - Module for statistical learning, with a particular emphasis on time-.. BSD-3 - matrixprofile-ts (🥉19 · ⭐ 740 · 💀) - A Python library for detecting patterns and anomalies.. Apache-2 - atspy (🥉14 · ⭐ 520 · 💀) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT - tsaug (🥉14 · ⭐ 350 · 💀) - A Python package for time series augmentation. Apache-2 - tslumen (🥉8 · ⭐ 69 · 💀) - A library for Time Series EDA (exploratory data analysis). Apache-2

Medical Data

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

MNE (🥇39 · ⭐ 2.9K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3

- [GitHub](https://github.com/mne-tools/mne-python) (👨‍💻 390 · 🔀 1.3K · 📦 5.9K · 📋 5K - 11% open · ⏱️ 22.05.2025):

git clone https://github.com/mne-tools/mne-python

- [PyPi](https://pypi.org/project/mne) (📥 160K / month · 📦 420 · ⏱️ 18.12.2024):

pip install mne

- [Conda](https://anaconda.org/conda-forge/mne) (📥 530K · ⏱️ 22.04.2025):

conda install -c conda-forge mne

Nilearn (🥇38 · ⭐ 1.3K) - Machine learning for NeuroImaging in Python. BSD-3

- [GitHub](https://github.com/nilearn/nilearn) (👨‍💻 260 · 🔀 600 · 📥 300 · 📦 4.2K · 📋 2.4K - 12% open · ⏱️ 21.05.2025):

git clone https://github.com/nilearn/nilearn

- [PyPi](https://pypi.org/project/nilearn) (📥 260K / month · 📦 310 · ⏱️ 23.12.2024):

pip install nilearn

- [Conda](https://anaconda.org/conda-forge/nilearn) (📥 330K · ⏱️ 22.04.2025):

conda install -c conda-forge nilearn

MONAI (🥈36 · ⭐ 6.4K) - AI Toolkit for Healthcare Imaging. Apache-2

- [GitHub](https://github.com/Project-MONAI/MONAI) (👨‍💻 220 · 🔀 1.2K · 📦 4.2K · 📋 3.3K - 13% open · ⏱️ 16.05.2025):

git clone https://github.com/Project-MONAI/MONAI

- [PyPi](https://pypi.org/project/monai) (📥 350K / month · 📦 140 · ⏱️ 10.12.2024):

pip install monai

- [Conda](https://anaconda.org/conda-forge/monai) (📥 49K · ⏱️ 22.04.2025):

conda install -c conda-forge monai

NIPYPE (🥈35 · ⭐ 780) - Workflows and interfaces for neuroimaging packages. Apache-2

- [GitHub](https://github.com/nipy/nipype) (👨‍💻 260 · 🔀 530 · 📦 6.9K · 📋 1.4K - 30% open · ⏱️ 28.04.2025):

git clone https://github.com/nipy/nipype

- [PyPi](https://pypi.org/project/nipype) (📥 330K / month · 📦 150 · ⏱️ 19.03.2025):

pip install nipype

- [Conda](https://anaconda.org/conda-forge/nipype) (📥 800K · ⏱️ 05.05.2025):

conda install -c conda-forge nipype

NiBabel (🥈34 · ⭐ 700) - Python package to access a cacophony of neuro-imaging file formats. MIT

- [GitHub](https://github.com/nipy/nibabel) (👨‍💻 110 · 🔀 260 · 📦 29K · 📋 550 - 23% open · ⏱️ 20.05.2025):

git clone https://github.com/nipy/nibabel

- [PyPi](https://pypi.org/project/nibabel) (📥 880K / month · 📦 1.2K · ⏱️ 23.10.2024):

pip install nibabel

- [Conda](https://anaconda.org/conda-forge/nibabel) (📥 900K · ⏱️ 22.04.2025):

conda install -c conda-forge nibabel

Lifelines (🥈33 · ⭐ 2.4K · 💤) - Survival analysis in Python. MIT

- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (👨‍💻 120 · 🔀 560 · 📦 3.9K · 📋 980 - 27% open · ⏱️ 29.10.2024):

git clone https://github.com/CamDavidsonPilon/lifelines

- [PyPi](https://pypi.org/project/lifelines) (📥 2.2M / month · 📦 160 · ⏱️ 29.10.2024):

pip install lifelines

- [Conda](https://anaconda.org/conda-forge/lifelines) (📥 430K · ⏱️ 22.04.2025):

conda install -c conda-forge lifelines

Hail (🥈32 · ⭐ 1K) - Cloud-native genomic dataframes and batch computing. MIT

- [GitHub](https://github.com/hail-is/hail) (👨‍💻 97 · 🔀 250 · 📦 170 · 📋 2.5K - 10% open · ⏱️ 22.05.2025):

git clone https://github.com/hail-is/hail

- [PyPi](https://pypi.org/project/hail) (📥 18K / month · 📦 42 · ⏱️ 07.03.2025):

pip install hail

DeepVariant (🥉28 · ⭐ 3.4K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3

- [GitHub](https://github.com/google/deepvariant) (👨‍💻 41 · 🔀 740 · 📥 4.8K · 📦 4 · 📋 910 - 0% open · ⏱️ 16.05.2025):

git clone https://github.com/google/deepvariant

- [Conda](https://anaconda.org/bioconda/deepvariant) (📥 76K · ⏱️ 22.04.2025):

conda install -c bioconda deepvariant

Brainiak (🥉19 · ⭐ 350) - Brain Imaging Analysis Kit. Apache-2

- [GitHub](https://github.com/brainiak/brainiak) (👨‍💻 35 · 🔀 140 · 📋 230 - 38% open · ⏱️ 06.01.2025):

git clone https://github.com/brainiak/brainiak

- [PyPi](https://pypi.org/project/brainiak) (📥 1.7K / month · ⏱️ 07.01.2025):

pip install brainiak

- [Docker Hub](https://hub.docker.com/r/brainiak/brainiak) (📥 1.9K · ⭐ 1 · ⏱️ 07.01.2025):

docker pull brainiak/brainiak

Show 10 hidden projects...

- DIPY (🥈32 · ⭐ 760) - DIPY is the paragon 3D/4D+ medical imaging library in Python... ❗Unlicensed - NiftyNet (🥉25 · ⭐ 1.4K · 💀) - [unmaintained] An open-source convolutional neural.. Apache-2 - NIPY (🥉24 · ⭐ 390) - Neuroimaging in Python FMRI analysis package. ❗Unlicensed - MedPy (🥉23 · ⭐ 600 · 💤) - Medical image processing in Python. ❗️GPL-3.0 - DLTK (🥉20 · ⭐ 1.4K · 💀) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 - Glow (🥉20 · ⭐ 280) - An open-source toolkit for large-scale genomic analysis. Apache-2 - MedicalTorch (🥉15 · ⭐ 870 · 💀) - A medical imaging framework for Pytorch. Apache-2 - Medical Detection Toolkit (🥉14 · ⭐ 1.3K · 💀) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2 - DeepNeuro (🥉14 · ⭐ 130 · 💀) - A deep learning python package for neuroimaging data. Made by:. MIT - MedicalNet (🥉12 · ⭐ 2K · 💀) - Many studies have shown that the performance on deep learning is.. MIT

Tabular Data

Libraries for processing tabular and structured data.

skrub (🥇29 · ⭐ 1.4K) - Machine learning with dataframes. BSD-3

- [GitHub](https://github.com/skrub-data/skrub) (👨‍💻 59 · 🔀 120 · 📦 87 · 📋 440 - 20% open · ⏱️ 22.05.2025):

git clone https://github.com/skrub-data/skrub

- [PyPi](https://pypi.org/project/skrub) (📥 12K / month · 📦 10 · ⏱️ 03.04.2025):

pip install skrub

pytorch_tabular (🥈24 · ⭐ 1.5K) - A standard framework for modelling Deep Learning Models.. MIT

- [GitHub](https://github.com/manujosephv/pytorch_tabular) (👨‍💻 27 · 🔀 150 · 📥 54 · 📋 170 - 7% open · ⏱️ 19.04.2025):

git clone https://github.com/manujosephv/pytorch_tabular

- [PyPi](https://pypi.org/project/pytorch_tabular) (📥 19K / month · 📦 9 · ⏱️ 28.11.2024):

pip install pytorch_tabular

miceforest (🥈24 · ⭐ 380 · 💤) - Multiple Imputation with LightGBM in Python. MIT

- [GitHub](https://github.com/AnotherSamWilson/miceforest) (👨‍💻 8 · 🔀 30 · 📦 240 · 📋 90 - 11% open · ⏱️ 02.08.2024):

git clone https://github.com/AnotherSamWilson/miceforest

- [PyPi](https://pypi.org/project/miceforest) (📥 78K / month · 📦 9 · ⏱️ 02.08.2024):

pip install miceforest

- [Conda](https://anaconda.org/conda-forge/miceforest) (📥 19K · ⏱️ 22.04.2025):

conda install -c conda-forge miceforest

upgini (🥉22 · ⭐ 330) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3

- [GitHub](https://github.com/upgini/upgini) (👨‍💻 13 · 🔀 25 · 📦 9 · ⏱️ 20.05.2025):

git clone https://github.com/upgini/upgini

- [PyPi](https://pypi.org/project/upgini) (📥 12K / month · ⏱️ 22.05.2025):

pip install upgini

Show 2 hidden projects...

- carefree-learn (🥉17 · ⭐ 410 · 💀) - Deep Learning PyTorch. MIT - deltapy (🥉12 · ⭐ 550 · 💀) - DeltaPy - Tabular Data Augmentation (by @firmai). MIT

Optical Character Recognition

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

PaddleOCR (🥇42 · ⭐ 49K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2

- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (👨‍💻 300 · 🔀 8.2K · 📥 2M · 📦 5.7K · 📋 9.6K - 1% open · ⏱️ 22.05.2025):

git clone https://github.com/PaddlePaddle/PaddleOCR

- [PyPi](https://pypi.org/project/paddleocr) (📥 330K / month · 📦 150 · ⏱️ 20.05.2025):

pip install paddleocr

OCRmyPDF (🥇37 · ⭐ 29K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0

- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (👨‍💻 110 · 🔀 2K · 📥 12K · 📦 1.3K · 📋 1.3K - 10% open · ⏱️ 21.04.2025):

git clone https://github.com/ocrmypdf/OCRmyPDF

- [PyPi](https://pypi.org/project/ocrmypdf) (📥 220K / month · 📦 46 · ⏱️ 24.04.2025):

pip install ocrmypdf

- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (📥 99K · ⏱️ 22.04.2025):

conda install -c conda-forge ocrmypdf

EasyOCR (🥈34 · ⭐ 27K · 💤) - Ready-to-use OCR with 80+ supported languages and all popular.. Apache-2

- [GitHub](https://github.com/JaidedAI/EasyOCR) (👨‍💻 130 · 🔀 3.3K · 📥 21M · 📦 15K · 📋 1.1K - 43% open · ⏱️ 24.09.2024):

git clone https://github.com/JaidedAI/EasyOCR

- [PyPi](https://pypi.org/project/easyocr) (📥 910K / month · 📦 250 · ⏱️ 24.09.2024):

pip install easyocr

Tesseract (🥈31 · ⭐ 6.1K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2

- [GitHub](https://github.com/madmaze/pytesseract) (👨‍💻 50 · 🔀 720 · 📋 370 - 3% open · ⏱️ 17.02.2025):

git clone https://github.com/madmaze/pytesseract

- [PyPi](https://pypi.org/project/pytesseract) (📥 3M / month · 📦 970 · ⏱️ 16.08.2024):

pip install pytesseract

- [Conda](https://anaconda.org/conda-forge/pytesseract) (📥 660K · ⏱️ 22.04.2025):

conda install -c conda-forge pytesseract

tesserocr (🥈30 · ⭐ 2.1K) - A Python wrapper for the tesseract-ocr API. MIT

- [GitHub](https://github.com/sirfz/tesserocr) (👨‍💻 32 · 🔀 260 · 📥 960 · 📦 1.3K · 📋 280 - 17% open · ⏱️ 08.05.2025):

git clone https://github.com/sirfz/tesserocr

- [PyPi](https://pypi.org/project/tesserocr) (📥 130K / month · 📦 43 · ⏱️ 12.02.2025):

pip install tesserocr

- [Conda](https://anaconda.org/conda-forge/tesserocr) (📥 250K · ⏱️ 22.04.2025):

conda install -c conda-forge tesserocr

MMOCR (🥉27 · ⭐ 4.5K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2

- [GitHub](https://github.com/open-mmlab/mmocr) (👨‍💻 90 · 🔀 750 · 📦 230 · 📋 930 - 20% open · ⏱️ 27.11.2024):

git clone https://github.com/open-mmlab/mmocr

- [PyPi](https://pypi.org/project/mmocr) (📥 4.2K / month · 📦 4 · ⏱️ 05.05.2022):

pip install mmocr

Show 6 hidden projects...

- keras-ocr (🥉26 · ⭐ 1.5K · 💀) - A packaged and flexible version of the CRAFT text detector.. MIT - calamari (🥉22 · ⭐ 1.1K) - Line based ATR Engine based on OCRopy. ❗️GPL-3.0 - pdftabextract (🥉21 · ⭐ 2.2K · 💀) - A set of tools for extracting tables from PDF files.. Apache-2 - attention-ocr (🥉21 · ⭐ 1.1K · 💀) - A Tensorflow model for text recognition (CNN + seq2seq.. MIT - doc2text (🥉20 · ⭐ 1.3K · 💀) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python.. MIT - Mozart (🥉10 · ⭐ 660 · 💀) - An optical music recognition (OMR) system. Converts sheet.. Apache-2

Data Containers & Structures

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

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

Data Loading & Extraction

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

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

Web Scraping & Crawling

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

🔗 best-of-web-python - Web Scraping ( ⭐ 2.5K · 💤) - Collection of web-scraping and crawling libraries.

Data Pipelines & Streaming

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

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

Show 1 hidden projects...

- pyclugen (🥇10 · ⭐ 8 · 💤) - Multidimensional cluster generation in Python. MIT

Distributed Machine Learning

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

Ray (🥇47 · ⭐ 37K) - Ray is an AI compute engine. Ray consists of a core distributed runtime.. Apache-2

- [GitHub](https://github.com/ray-project/ray) (👨‍💻 1.2K · 🔀 6.3K · 📥 260 · 📦 24K · 📋 21K - 21% open · ⏱️ 22.05.2025):

git clone https://github.com/ray-project/ray

- [PyPi](https://pypi.org/project/ray) (📥 11M / month · 📦 960 · ⏱️ 07.05.2025):

pip install ray

- [Conda](https://anaconda.org/conda-forge/ray-tune) (📥 770K · ⏱️ 12.05.2025):

conda install -c conda-forge ray-tune

dask (🥇45 · ⭐ 13K) - Parallel computing with task scheduling. BSD-3

- [GitHub](https://github.com/dask/dask) (👨‍💻 620 · 🔀 1.8K · 📦 75K · 📋 5.6K - 20% open · ⏱️ 20.05.2025):

git clone https://github.com/dask/dask

- [PyPi](https://pypi.org/project/dask) (📥 12M / month · 📦 2.9K · ⏱️ 20.05.2025):

pip install dask

- [Conda](https://anaconda.org/conda-forge/dask) (📥 13M · ⏱️ 20.05.2025):

conda install -c conda-forge dask

DeepSpeed (🥇41 · ⭐ 39K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2

- [GitHub](https://github.com/deepspeedai/DeepSpeed) (👨‍💻 380 · 🔀 4.4K · 📦 13K · 📋 3.1K - 34% open · ⏱️ 22.05.2025):

git clone https://github.com/microsoft/DeepSpeed

- [PyPi](https://pypi.org/project/deepspeed) (📥 760K / month · 📦 280 · ⏱️ 19.05.2025):

pip install deepspeed

- [Docker Hub](https://hub.docker.com/r/deepspeed/deepspeed) (📥 22K · ⭐ 4 · ⏱️ 02.09.2022):

docker pull deepspeed/deepspeed

dask.distributed (🥇39 · ⭐ 1.6K) - A distributed task scheduler for Dask. BSD-3

- [GitHub](https://github.com/dask/distributed) (👨‍💻 340 · 🔀 730 · 📦 41K · 📋 4K - 38% open · ⏱️ 20.05.2025):

git clone https://github.com/dask/distributed

- [PyPi](https://pypi.org/project/distributed) (📥 3.7M / month · 📦 970 · ⏱️ 20.05.2025):

pip install distributed

- [Conda](https://anaconda.org/conda-forge/distributed) (📥 18M · ⏱️ 20.05.2025):

conda install -c conda-forge distributed

horovod (🥈36 · ⭐ 14K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2

- [GitHub](https://github.com/horovod/horovod) (👨‍💻 170 · 🔀 2.3K · 📦 1.4K · 📋 2.3K - 17% open · ⏱️ 01.02.2025):

git clone https://github.com/horovod/horovod

- [PyPi](https://pypi.org/project/horovod) (📥 100K / month · 📦 34 · ⏱️ 12.06.2023):

pip install horovod

metrics (🥈36 · ⭐ 2.3K) - Machine learning metrics for distributed, scalable PyTorch.. Apache-2

- [GitHub](https://github.com/Lightning-AI/torchmetrics) (👨‍💻 270 · 🔀 430 · 📥 6.5K · 📦 42K · 📋 950 - 7% open · ⏱️ 19.05.2025):

git clone https://github.com/Lightning-AI/metrics

- [PyPi](https://pypi.org/project/metrics) (📥 4.9K / month · 📦 4 · ⏱️ 26.02.2025):

pip install metrics

- [Conda](https://anaconda.org/conda-forge/torchmetrics) (📥 2M · ⏱️ 22.04.2025):

conda install -c conda-forge torchmetrics

H2O-3 (🥈34 · ⭐ 7.2K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2

- [GitHub](https://github.com/h2oai/h2o-3) (👨‍💻 280 · 🔀 2K · 📦 98 · 📋 9.6K - 30% open · ⏱️ 08.05.2025):

git clone https://github.com/h2oai/h2o-3

- [PyPi](https://pypi.org/project/h2o) (📥 200K / month · 📦 58 · ⏱️ 27.03.2025):

pip install h2o

BigDL (🥈32 · ⭐ 7.9K) - Accelerate local LLM inference and finetuning (LLaMA, Mistral,.. Apache-2

- [GitHub](https://github.com/intel/ipex-llm) (👨‍💻 120 · 🔀 1.4K · 📥 690 · 📋 2.9K - 39% open · ⏱️ 22.05.2025):

git clone https://github.com/intel-analytics/BigDL

- [PyPi](https://pypi.org/project/bigdl) (📥 13K / month · 📦 2 · ⏱️ 24.03.2024):

pip install bigdl

- [Maven](https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4) (📦 5 · ⏱️ 20.04.2021):

<dependency>
    <groupId>com.intel.analytics.bigdl</groupId>
    <artifactId>bigdl-SPARK_2.4</artifactId>
    <version>[VERSION]</version>
</dependency>

ColossalAI (🥈31 · ⭐ 41K) - Making large AI models cheaper, faster and more accessible. Apache-2

- [GitHub](https://github.com/hpcaitech/ColossalAI) (👨‍💻 190 · 🔀 4.5K · 📦 510 · 📋 1.8K - 27% open · ⏱️ 18.04.2025):

git clone https://github.com/hpcaitech/colossalai

FairScale (🥈31 · ⭐ 3.3K) - PyTorch extensions for high performance and large scale training. BSD-3

- [GitHub](https://github.com/facebookresearch/fairscale) (👨‍💻 76 · 🔀 290 · 📦 8.4K · 📋 390 - 26% open · ⏱️ 26.04.2025):

git clone https://github.com/facebookresearch/fairscale

- [PyPi](https://pypi.org/project/fairscale) (📥 510K / month · 📦 150 · ⏱️ 11.12.2022):

pip install fairscale

- [Conda](https://anaconda.org/conda-forge/fairscale) (📥 450K · ⏱️ 22.04.2025):

conda install -c conda-forge fairscale

Submit it (🥈31 · ⭐ 1.4K · 📈) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT

- [GitHub](https://github.com/facebookincubator/submitit) (👨‍💻 26 · 🔀 140 · 📦 4.5K · 📋 130 - 39% open · ⏱️ 21.05.2025):

git clone https://github.com/facebookincubator/submitit

- [PyPi](https://pypi.org/project/submitit) (📥 480K / month · 📦 74 · ⏱️ 21.05.2025):

pip install submitit

- [Conda](https://anaconda.org/conda-forge/submitit) (📥 58K · ⏱️ 22.04.2025):

conda install -c conda-forge submitit

mpi4py (🥈31 · ⭐ 850) - Python bindings for MPI. BSD-3

- [GitHub](https://github.com/mpi4py/mpi4py) (👨‍💻 27 · 🔀 120 · 📥 33K · 📋 210 - 2% open · ⏱️ 10.05.2025):

git clone https://github.com/mpi4py/mpi4py

- [PyPi](https://pypi.org/project/mpi4py) (📥 490K / month · 📦 830 · ⏱️ 13.02.2025):

pip install mpi4py

- [Conda](https://anaconda.org/conda-forge/mpi4py) (📥 3.9M · ⏱️ 09.05.2025):

conda install -c conda-forge mpi4py

SynapseML (🥈30 · ⭐ 5.1K) - Simple and Distributed Machine Learning. MIT

- [GitHub](https://github.com/microsoft/SynapseML) (👨‍💻 120 · 🔀 840 · 📋 800 - 49% open · ⏱️ 19.04.2025):

git clone https://github.com/microsoft/SynapseML

- [PyPi](https://pypi.org/project/synapseml) (📥 820K / month · 📦 7 · ⏱️ 17.04.2025):

pip install synapseml

dask-ml (🥈29 · ⭐ 940) - Scalable Machine Learning with Dask. BSD-3

- [GitHub](https://github.com/dask/dask-ml) (👨‍💻 81 · 🔀 260 · 📦 1.3K · 📋 550 - 51% open · ⏱️ 10.05.2025):

git clone https://github.com/dask/dask-ml

- [PyPi](https://pypi.org/project/dask-ml) (📥 100K / month · 📦 100 · ⏱️ 08.02.2025):

pip install dask-ml

- [Conda](https://anaconda.org/conda-forge/dask-ml) (📥 980K · ⏱️ 22.04.2025):

conda install -c conda-forge dask-ml

Hivemind (🥉27 · ⭐ 2.2K) - Decentralized deep learning in PyTorch. Built to train models on.. MIT

- [GitHub](https://github.com/learning-at-home/hivemind) (👨‍💻 34 · 🔀 180 · 📦 130 · 📋 190 - 43% open · ⏱️ 06.05.2025):

git clone https://github.com/learning-at-home/hivemind

- [PyPi](https://pypi.org/project/hivemind) (📥 6.4K / month · 📦 12 · ⏱️ 20.04.2025):

pip install hivemind

Apache Singa (🥉25 · ⭐ 3.4K) - a distributed deep learning platform. Apache-2

- [GitHub](https://github.com/apache/singa) (👨‍💻 97 · 🔀 1.3K · 📦 6 · 📋 140 - 35% open · ⏱️ 26.03.2025):

git clone https://github.com/apache/singa

- [Conda](https://anaconda.org/nusdbsystem/singa) (📥 1K · ⏱️ 25.03.2025):

conda install -c nusdbsystem singa

- [Docker Hub](https://hub.docker.com/r/apache/singa) (📥 9.1K · ⭐ 4 · ⏱️ 31.05.2022):

docker pull apache/singa

MMLSpark (🥉23 · ⭐ 5.1K) - Simple and Distributed Machine Learning. MIT

- [GitHub](https://github.com/microsoft/SynapseML) (👨‍💻 120 · 🔀 840 · 📋 800 - 49% open · ⏱️ 19.04.2025):

git clone https://github.com/microsoft/SynapseML

- [PyPi](https://pypi.org/project/mmlspark) (⏱️ 18.03.2020):

pip install mmlspark

analytics-zoo (🥉22 · ⭐ 2.6K) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2

- [GitHub](https://github.com/intel/analytics-zoo) (👨‍💻 110 · 🔀 730 · 📋 1.3K - 32% open · ⏱️ 09.01.2025):

git clone https://github.com/intel-analytics/analytics-zoo

- [PyPi](https://pypi.org/project/analytics-zoo) (📥 2.1K / month · 📦 1 · ⏱️ 22.08.2022):

pip install analytics-zoo

Show 18 hidden projects...

- DEAP (🥈34 · ⭐ 6.1K) - Distributed Evolutionary Algorithms in Python. ❗️LGPL-3.0 - ipyparallel (🥈29 · ⭐ 2.6K) - IPython Parallel: Interactive Parallel Computing in.. ❗Unlicensed - petastorm (🥉28 · ⭐ 1.8K · 💀) - Petastorm library enables single machine or distributed.. Apache-2 - TensorFlowOnSpark (🥉27 · ⭐ 3.9K · 💀) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2 - Elephas (🥉25 · ⭐ 1.6K · 💀) - Distributed Deep learning with Keras & Spark. MIT keras - Mesh (🥉22 · ⭐ 1.6K · 💀) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2 - BytePS (🥉21 · ⭐ 3.7K · 💀) - A high performance and generic framework for distributed DNN.. Apache-2 - sk-dist (🥉21 · ⭐ 280 · 💀) - Distributed scikit-learn meta-estimators in PySpark. Apache-2 - somoclu (🥉21 · ⭐ 270 · 💀) - Massively parallel self-organizing maps: accelerate training on.. MIT - mesh-transformer-jax (🥉18 · ⭐ 6.3K · 💀) - Model parallel transformers in JAX and Haiku. Apache-2 - launchpad (🥉18 · ⭐ 320 · 💀) - Launchpad is a library that simplifies writing.. Apache-2 - Fiber (🥉17 · ⭐ 1K · 💀) - Distributed Computing for AI Made Simple. Apache-2 - parallelformers (🥉17 · ⭐ 780 · 💀) - Parallelformers: An Efficient Model Parallelization.. Apache-2 - bluefog (🥉17 · ⭐ 290 · 💀) - Distributed and decentralized training framework for PyTorch.. Apache-2 - TensorFrames (🥉15 · ⭐ 720 · 💀) - Tensorflow wrapper for DataFrames on Apache Spark. Apache-2 - LazyCluster (🥉14 · ⭐ 49 · 💀) - Distributed machine learning made simple. Apache-2 - autodist (🥉12 · ⭐ 130 · 💀) - Simple Distributed Deep Learning on TensorFlow. Apache-2 - moolib (🥉11 · ⭐ 370 · 💀) - A library for distributed ML training with PyTorch. MIT

Hyperparameter Optimization & AutoML

Libraries for hyperparameter optimization, automl and neural architecture search.

Optuna (🥇43 · ⭐ 12K) - A hyperparameter optimization framework. MIT

- [GitHub](https://github.com/optuna/optuna) (👨‍💻 290 · 🔀 1.1K · 📦 27K · 📋 1.7K - 3% open · ⏱️ 16.05.2025):

git clone https://github.com/optuna/optuna

- [PyPi](https://pypi.org/project/optuna) (📥 4.1M / month · 📦 1.2K · ⏱️ 14.04.2025):

pip install optuna

- [Conda](https://anaconda.org/conda-forge/optuna) (📥 2.7M · ⏱️ 22.04.2025):

conda install -c conda-forge optuna

AutoGluon (🥇36 · ⭐ 8.9K) - Fast and Accurate ML in 3 Lines of Code. Apache-2

- [GitHub](https://github.com/autogluon/autogluon) (👨‍💻 140 · 🔀 1K · 📦 1.1K · 📋 1.7K - 24% open · ⏱️ 21.05.2025):

git clone https://github.com/autogluon/autogluon

- [PyPi](https://pypi.org/project/autogluon) (📥 190K / month · 📦 32 · ⏱️ 22.05.2025):

pip install autogluon

- [Conda](https://anaconda.org/conda-forge/autogluon) (📥 35K · ⏱️ 03.05.2025):

conda install -c conda-forge autogluon

- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (📥 16K · ⭐ 19 · ⏱️ 07.03.2024):

docker pull autogluon/autogluon

Ax (🥇36 · ⭐ 2.5K) - Adaptive Experimentation Platform. MIT

- [GitHub](https://github.com/facebook/Ax) (👨‍💻 180 · 🔀 320 · 📦 970 · 📋 880 - 12% open · ⏱️ 22.05.2025):

git clone https://github.com/facebook/Ax

- [PyPi](https://pypi.org/project/ax-platform) (📥 240K / month · 📦 63 · ⏱️ 08.05.2025):

pip install ax-platform

- [Conda](https://anaconda.org/conda-forge/ax-platform) (📥 39K · ⏱️ 09.05.2025):

conda install -c conda-forge ax-platform

Bayesian Optimization (🥇35 · ⭐ 8.2K) - A Python implementation of global optimization with.. MIT

- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (👨‍💻 50 · 🔀 1.6K · 📥 180 · 📦 3.7K · 📋 380 - 1% open · ⏱️ 19.05.2025):

git clone https://github.com/fmfn/BayesianOptimization

- [PyPi](https://pypi.org/project/bayesian-optimization) (📥 320K / month · 📦 170 · ⏱️ 12.05.2025):

pip install bayesian-optimization

Hyperopt (🥇34 · ⭐ 7.4K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3

- [GitHub](https://github.com/hyperopt/hyperopt) (👨‍💻 100 · 🔀 1.1K · 📦 21K · 📋 760 - 18% open · ⏱️ 27.12.2024):

git clone https://github.com/hyperopt/hyperopt

- [PyPi](https://pypi.org/project/hyperopt) (📥 2.6M / month · 📦 450 · ⏱️ 17.11.2021):

pip install hyperopt

- [Conda](https://anaconda.org/conda-forge/hyperopt) (📥 830K · ⏱️ 22.04.2025):

conda install -c conda-forge hyperopt

BoTorch (🥇34 · ⭐ 3.3K) - Bayesian optimization in PyTorch. MIT

- [GitHub](https://github.com/pytorch/botorch) (👨‍💻 140 · 🔀 420 · 📦 1.5K · 📋 590 - 13% open · ⏱️ 22.05.2025):

git clone https://github.com/pytorch/botorch

- [PyPi](https://pypi.org/project/botorch) (📥 320K / month · 📦 110 · ⏱️ 06.05.2025):

pip install botorch

- [Conda](https://anaconda.org/conda-forge/botorch) (📥 150K · ⏱️ 07.05.2025):

conda install -c conda-forge botorch

nevergrad (🥈33 · ⭐ 4.1K) - A Python toolbox for performing gradient-free optimization. MIT

- [GitHub](https://github.com/facebookresearch/nevergrad) (👨‍💻 58 · 🔀 360 · 📦 910 · 📋 310 - 40% open · ⏱️ 23.04.2025):

git clone https://github.com/facebookresearch/nevergrad

- [PyPi](https://pypi.org/project/nevergrad) (📥 150K / month · 📦 72 · ⏱️ 23.04.2025):

pip install nevergrad

- [Conda](https://anaconda.org/conda-forge/nevergrad) (📥 62K · ⏱️ 22.04.2025):

conda install -c conda-forge nevergrad

AutoKeras (🥈32 · ⭐ 9.2K) - AutoML library for deep learning. Apache-2

- [GitHub](https://github.com/keras-team/autokeras) (👨‍💻 140 · 🔀 1.4K · 📥 20K · 📦 850 · 📋 910 - 16% open · ⏱️ 16.12.2024):

git clone https://github.com/keras-team/autokeras

- [PyPi](https://pypi.org/project/autokeras) (📥 19K / month · 📦 13 · ⏱️ 20.03.2024):

pip install autokeras

featuretools (🥈32 · ⭐ 7.4K) - An open source python library for automated feature engineering. BSD-3

- [GitHub](https://github.com/alteryx/featuretools) (👨‍💻 74 · 🔀 880 · 📦 2.1K · 📋 1K - 15% open · ⏱️ 13.11.2024):

git clone https://github.com/alteryx/featuretools

- [PyPi](https://pypi.org/project/featuretools) (📥 79K / month · 📦 74 · ⏱️ 14.05.2024):

pip install featuretools

- [Conda](https://anaconda.org/conda-forge/featuretools) (📥 250K · ⏱️ 22.04.2025):

conda install -c conda-forge featuretools

Keras Tuner (🥈32 · ⭐ 2.9K · 💤) - A Hyperparameter Tuning Library for Keras. Apache-2

- [GitHub](https://github.com/keras-team/keras-tuner) (👨‍💻 61 · 🔀 400 · 📦 5.9K · 📋 500 - 44% open · ⏱️ 24.06.2024):

git clone https://github.com/keras-team/keras-tuner

- [PyPi](https://pypi.org/project/keras-tuner) (📥 1.6M / month · 📦 120 · ⏱️ 04.03.2024):

pip install keras-tuner

- [Conda](https://anaconda.org/conda-forge/keras-tuner) (📥 57K · ⏱️ 22.04.2025):

conda install -c conda-forge keras-tuner

lazypredict (🥈29 · ⭐ 3.1K) - Lazy Predict help build a lot of basic models without much code.. MIT

- [GitHub](https://github.com/shankarpandala/lazypredict) (👨‍💻 19 · 🔀 360 · 📦 1.4K · 📋 160 - 64% open · ⏱️ 18.05.2025):

git clone https://github.com/shankarpandala/lazypredict

- [PyPi](https://pypi.org/project/lazypredict) (📥 21K / month · 📦 8 · ⏱️ 05.04.2025):

pip install lazypredict

- [Conda](https://anaconda.org/conda-forge/lazypredict) (📥 5K · ⏱️ 22.04.2025):

conda install -c conda-forge lazypredict

mljar-supervised (🥈28 · ⭐ 3.2K) - Python package for AutoML on Tabular Data with Feature.. MIT

- [GitHub](https://github.com/mljar/mljar-supervised) (👨‍💻 30 · 🔀 420 · 📦 170 · 📋 670 - 20% open · ⏱️ 14.04.2025):

git clone https://github.com/mljar/mljar-supervised

- [PyPi](https://pypi.org/project/mljar-supervised) (📥 7K / month · 📦 6 · ⏱️ 01.04.2025):

pip install mljar-supervised

- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (📥 42K · ⏱️ 22.04.2025):

conda install -c conda-forge mljar-supervised

FEDOT (🥈25 · ⭐ 670) - Automated modeling and machine learning framework FEDOT. BSD-3

- [GitHub](https://github.com/aimclub/FEDOT) (👨‍💻 38 · 🔀 88 · 📦 62 · 📋 570 - 11% open · ⏱️ 22.05.2025):

git clone https://github.com/nccr-itmo/FEDOT

- [PyPi](https://pypi.org/project/fedot) (📥 1.1K / month · 📦 7 · ⏱️ 10.03.2025):

pip install fedot

Hyperactive (🥉24 · ⭐ 520) - An optimization and data collection toolbox for convenient and fast.. MIT

- [GitHub](https://github.com/SimonBlanke/Hyperactive) (👨‍💻 13 · 🔀 48 · 📥 310 · 📦 38 · 📋 82 - 19% open · ⏱️ 18.05.2025):

git clone https://github.com/SimonBlanke/Hyperactive

- [PyPi](https://pypi.org/project/hyperactive) (📥 2.4K / month · 📦 13 · ⏱️ 15.08.2024):

pip install hyperactive

AlphaPy (🥉21 · ⭐ 1.5K) - Python AutoML for Trading Systems and Sports Betting. Apache-2

- [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (👨‍💻 5 · 🔀 250 · 📦 10 · 📋 44 - 34% open · ⏱️ 15.12.2024):

git clone https://github.com/ScottfreeLLC/AlphaPy

- [PyPi](https://pypi.org/project/alphapy) (📥 660 / month · ⏱️ 29.08.2020):

pip install alphapy

featurewiz (🥉21 · ⭐ 650) - Use advanced feature engineering strategies and select best.. Apache-2

- [GitHub](https://github.com/AutoViML/featurewiz) (👨‍💻 18 · 🔀 96 · 📦 84 · 📋 110 - 0% open · ⏱️ 19.02.2025):

git clone https://github.com/AutoViML/featurewiz

- [PyPi](https://pypi.org/project/featurewiz) (📥 7.8K / month · 📦 4 · ⏱️ 19.02.2025):

pip install featurewiz

Auto ViML (🥉21 · ⭐ 540) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2

- [GitHub](https://github.com/AutoViML/Auto_ViML) (👨‍💻 9 · 🔀 100 · 📦 28 · ⏱️ 30.01.2025):

git clone https://github.com/AutoViML/Auto_ViML

- [PyPi](https://pypi.org/project/autoviml) (📥 3.7K / month · 📦 3 · ⏱️ 30.01.2025):

pip install autoviml

opytimizer (🥉18 · ⭐ 620 · 💤) - Opytimizer is a Python library consisting of meta-heuristic.. Apache-2

- [GitHub](https://github.com/gugarosa/opytimizer) (👨‍💻 4 · 🔀 42 · 📦 21 · ⏱️ 18.08.2024):

git clone https://github.com/gugarosa/opytimizer

- [PyPi](https://pypi.org/project/opytimizer) (📥 450 / month · ⏱️ 18.08.2024):

pip install opytimizer

Show 34 hidden projects...

- TPOT (🥈33 · ⭐ 9.9K) - A Python Automated Machine Learning tool that optimizes machine.. ❗️LGPL-3.0 - scikit-optimize (🥈33 · ⭐ 2.8K · 💀) - Sequential model-based optimization with a.. BSD-3 - NNI (🥈31 · ⭐ 14K · 💀) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT - auto-sklearn (🥈31 · ⭐ 7.8K · 💀) - Automated Machine Learning with scikit-learn. BSD-3 - SMAC3 (🥈28 · ⭐ 1.2K) - SMAC3: A Versatile Bayesian Optimization Package for.. ❗️BSD-1-Clause - Hyperas (🥈27 · ⭐ 2.2K · 💀) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT - Talos (🥈25 · ⭐ 1.6K · 💀) - Hyperparameter Experiments with TensorFlow and Keras. MIT - GPyOpt (🥈25 · ⭐ 940 · 💀) - Gaussian Process Optimization using GPy. BSD-3 - AdaNet (🥉24 · ⭐ 3.5K · 💀) - Fast and flexible AutoML with learning guarantees. Apache-2 - auto_ml (🥉24 · ⭐ 1.6K · 💀) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT - lightwood (🥉24 · ⭐ 470) - Lightwood is Legos for Machine Learning. ❗️GPL-3.0 - HpBandSter (🥉23 · ⭐ 620 · 💀) - a distributed Hyperband implementation on Steroids. BSD-3 - Neuraxle (🥉22 · ⭐ 610 · 💀) - The worlds cleanest AutoML library - Do hyperparameter tuning.. Apache-2 - Orion (🥉22 · ⭐ 290 · 💀) - Asynchronous Distributed Hyperparameter Optimization. BSD-3 - igel (🥉21 · ⭐ 3.1K · 💀) - a delightful machine learning tool that allows you to train, test, and.. MIT - MLBox (🥉21 · ⭐ 1.5K · 💀) - MLBox is a powerful Automated Machine Learning python library. ❗️BSD-1-Clause - Test Tube (🥉21 · ⭐ 740 · 💀) - Python library to easily log experiments and parallelize.. MIT - sklearn-deap (🥉20 · ⭐ 770 · 💀) - Use evolutionary algorithms instead of gridsearch in.. MIT - optunity (🥉20 · ⭐ 420 · 💀) - optimization routines for hyperparameter tuning. BSD-3 - Dragonfly (🥉19 · ⭐ 880 · 💀) - An open source python library for scalable Bayesian optimisation. MIT - Auto Tune Models (🥉19 · ⭐ 530 · 💀) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT - Sherpa (🥉19 · ⭐ 340 · 💀) - Hyperparameter optimization that enables researchers to.. ❗️GPL-3.0 - Xcessiv (🥉18 · ⭐ 1.3K · 💀) - A web-based application for quick, scalable, and automated.. Apache-2 - shap-hypetune (🥉18 · ⭐ 580 · 💀) - A python package for simultaneous Hyperparameters Tuning and.. MIT - Advisor (🥉17 · ⭐ 1.6K · 💀) - Open-source implementation of Google Vizier for hyper parameters.. Apache-2 - HyperparameterHunter (🥉17 · ⭐ 710 · 💀) - Easy hyperparameter optimization and automatic result.. MIT - automl-gs (🥉16 · ⭐ 1.9K · 💀) - Provide an input CSV and a target field to predict, generate a.. MIT - Parfit (🥉15 · ⭐ 200 · 💀) - A package for parallelizing the fit and flexibly scoring of.. MIT - ENAS (🥉13 · ⭐ 2.7K · 💀) - PyTorch implementation of Efficient Neural Architecture Search via.. Apache-2 - Auptimizer (🥉13 · ⭐ 200 · 💀) - An automatic ML model optimization tool. ❗️GPL-3.0 - Hypermax (🥉12 · ⭐ 110 · 💀) - Better, faster hyper-parameter optimization. BSD-3 - model_search (🥉11 · ⭐ 3.3K · 💀) - AutoML algorithms for model architecture search at scale. Apache-2 - Devol (🥉11 · ⭐ 950 · 💀) - Genetic neural architecture search with Keras. MIT - Hypertunity (🥉10 · ⭐ 140 · 💀) - A toolset for black-box hyperparameter optimisation. Apache-2

Reinforcement Learning

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

FinRL (🥇32 · ⭐ 12K) - FinRL: Financial Reinforcement Learning. MIT

- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (👨‍💻 120 · 🔀 2.7K · 📦 93 · 📋 740 - 34% open · ⏱️ 05.05.2025):

git clone https://github.com/AI4Finance-Foundation/FinRL

- [PyPi](https://pypi.org/project/finrl) (📥 2.8K / month · ⏱️ 08.01.2022):

pip install finrl

ViZDoom (🥇29 · ⭐ 1.8K) - Reinforcement Learning environments based on the 1993 game Doom. MIT

- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (👨‍💻 55 · 🔀 400 · 📥 12K · 📦 330 · 📋 470 - 6% open · ⏱️ 12.03.2025):

git clone https://github.com/mwydmuch/ViZDoom

- [PyPi](https://pypi.org/project/vizdoom) (📥 6.8K / month · 📦 15 · ⏱️ 20.08.2024):

pip install vizdoom

Acme (🥈28 · ⭐ 3.7K) - A library of reinforcement learning components and agents. Apache-2

- [GitHub](https://github.com/google-deepmind/acme) (👨‍💻 88 · 🔀 470 · 📦 240 · 📋 270 - 23% open · ⏱️ 03.05.2025):

git clone https://github.com/deepmind/acme

- [PyPi](https://pypi.org/project/dm-acme) (📥 1.7K / month · 📦 3 · ⏱️ 10.02.2022):

pip install dm-acme

- [Conda](https://anaconda.org/conda-forge/dm-acme) (📥 13K · ⏱️ 22.04.2025):

conda install -c conda-forge dm-acme

TF-Agents (🥈28 · ⭐ 2.9K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2

- [GitHub](https://github.com/tensorflow/agents) (👨‍💻 150 · 🔀 720 · 📋 680 - 30% open · ⏱️ 30.04.2025):

git clone https://github.com/tensorflow/agents

- [PyPi](https://pypi.org/project/tf-agents) (📥 27K / month · 📦 14 · ⏱️ 14.12.2023):

pip install tf-agents

Dopamine (🥈26 · ⭐ 11K) - Dopamine is a research framework for fast prototyping of.. Apache-2

- [GitHub](https://github.com/google/dopamine) (👨‍💻 15 · 🔀 1.4K · 📦 21 · 📋 190 - 54% open · ⏱️ 04.11.2024):

git clone https://github.com/google/dopamine

- [PyPi](https://pypi.org/project/dopamine-rl) (📥 24K / month · 📦 10 · ⏱️ 31.10.2024):

pip install dopamine-rl

TensorForce (🥈26 · ⭐ 3.3K · 💤) - Tensorforce: a TensorFlow library for applied.. Apache-2

- [GitHub](https://github.com/tensorforce/tensorforce) (👨‍💻 85 · 🔀 530 · 📦 460 · 📋 680 - 6% open · ⏱️ 31.07.2024):

git clone https://github.com/tensorforce/tensorforce

- [PyPi](https://pypi.org/project/tensorforce) (📥 520 / month · 📦 4 · ⏱️ 30.08.2021):

pip install tensorforce

RLax (🥈26 · ⭐ 1.3K) - A library of reinforcement learning building blocks in JAX. Apache-2

- [GitHub](https://github.com/google-deepmind/rlax) (👨‍💻 22 · 🔀 91 · 📦 340 · 📋 27 - 29% open · ⏱️ 08.05.2025):

git clone https://github.com/deepmind/rlax

- [PyPi](https://pypi.org/project/rlax) (📥 16K / month · 📦 22 · ⏱️ 08.05.2025):

pip install rlax

PARL (🥉24 · ⭐ 3.4K) - A high-performance distributed training framework for Reinforcement.. Apache-2

- [GitHub](https://github.com/PaddlePaddle/PARL) (👨‍💻 46 · 🔀 820 · 📦 140 · 📋 540 - 23% open · ⏱️ 24.01.2025):

git clone https://github.com/PaddlePaddle/PARL

- [PyPi](https://pypi.org/project/parl) (📥 790 / month · 📦 1 · ⏱️ 13.05.2022):

pip install parl

PFRL (🥉22 · ⭐ 1.2K · 💤) - PFRL: a PyTorch-based deep reinforcement learning library. MIT

- [GitHub](https://github.com/pfnet/pfrl) (👨‍💻 20 · 🔀 150 · 📦 120 · 📋 80 - 41% open · ⏱️ 04.08.2024):

git clone https://github.com/pfnet/pfrl

- [PyPi](https://pypi.org/project/pfrl) (📥 340 / month · 📦 1 · ⏱️ 16.07.2023):

pip install pfrl

ReAgent (🥉21 · ⭐ 3.6K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3

- [GitHub](https://github.com/facebookresearch/ReAgent) (👨‍💻 170 · 🔀 510 · 📋 160 - 53% open · ⏱️ 12.03.2025):

git clone https://github.com/facebookresearch/ReAgent

- [PyPi](https://pypi.org/project/reagent) (📥 31 / month · ⏱️ 27.05.2020):

pip install reagent

rliable (🥉14 · ⭐ 830 · 💤) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on.. Apache-2

- [GitHub](https://github.com/google-research/rliable) (👨‍💻 9 · 🔀 49 · 📦 210 · 📋 20 - 15% open · ⏱️ 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 (🥇42 · ⭐ 36K · 💀) - A toolkit for developing and comparing reinforcement learning.. MIT - baselines (🥈28 · ⭐ 16K · 💀) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT - TensorLayer (🥈27 · ⭐ 7.4K · 💀) - Deep Learning and Reinforcement Learning Library for.. Apache-2 - keras-rl (🥈27 · ⭐ 5.6K · 💀) - Deep Reinforcement Learning for Keras. MIT - garage (🥉25 · ⭐ 2K · 💀) - A toolkit for reproducible reinforcement learning research. MIT - Stable Baselines (🥉24 · ⭐ 4.3K · 💀) - A fork of OpenAI Baselines, implementations of.. MIT - ChainerRL (🥉24 · ⭐ 1.2K · 💀) - ChainerRL is a deep reinforcement learning library built on top of.. MIT - TRFL (🥉22 · ⭐ 3.1K · 💀) - TensorFlow Reinforcement Learning. Apache-2 - Coach (🥉20 · ⭐ 2.3K · 💀) - Reinforcement Learning Coach by Intel AI Lab enables easy.. Apache-2 - SerpentAI (🥉18 · ⭐ 6.9K · 💀) - Game Agent Framework. Helping you create AIs / Bots that learn to.. MIT - DeepMind Lab (🥉17 · ⭐ 7.2K · 💀) - A customisable 3D platform for agent-based AI research. ❗Unlicensed - Maze (🥉12 · ⭐ 280 · 💀) - Maze Applied Reinforcement Learning Framework. ❗️Custom

Recommender Systems

Libraries for building and evaluating recommendation systems.

Recommenders (🥇35 · ⭐ 20K) - Best Practices on Recommendation Systems. MIT

- [GitHub](https://github.com/recommenders-team/recommenders) (👨‍💻 140 · 🔀 3.2K · 📥 740 · 📦 170 · 📋 880 - 18% open · ⏱️ 08.05.2025):

git clone https://github.com/microsoft/recommenders

- [PyPi](https://pypi.org/project/recommenders) (📥 20K / month · 📦 4 · ⏱️ 24.12.2024):

pip install recommenders

torchrec (🥇31 · ⭐ 2.2K) - Pytorch domain library for recommendation systems. BSD-3

- [GitHub](https://github.com/pytorch/torchrec) (👨‍💻 350 · 🔀 510 · 📦 210 · 📋 480 - 70% open · ⏱️ 22.05.2025):

git clone https://github.com/pytorch/torchrec

- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (📥 1.8K / month · ⏱️ 12.05.2022):

pip install torchrec-nightly-cpu

Cornac (🥈30 · ⭐ 960) - A Comparative Framework for Multimodal Recommender Systems. Apache-2

- [GitHub](https://github.com/PreferredAI/cornac) (👨‍💻 24 · 🔀 150 · 📦 280 · 📋 170 - 17% open · ⏱️ 26.04.2025):

git clone https://github.com/PreferredAI/cornac

- [PyPi](https://pypi.org/project/cornac) (📥 54K / month · 📦 18 · ⏱️ 26.04.2025):

pip install cornac

- [Conda](https://anaconda.org/conda-forge/cornac) (📥 820K · ⏱️ 26.04.2025):

conda install -c conda-forge cornac

scikit-surprise (🥈28 · ⭐ 6.6K · 💤) - A Python scikit for building and analyzing recommender.. BSD-3

- [GitHub](https://github.com/NicolasHug/Surprise) (👨‍💻 46 · 🔀 1K · 📦 21 · 📋 400 - 21% open · ⏱️ 14.06.2024):

git clone https://github.com/NicolasHug/Surprise

- [PyPi](https://pypi.org/project/scikit-surprise) (📥 140K / month · 📦 37 · ⏱️ 19.05.2024):

pip install scikit-surprise

- [Conda](https://anaconda.org/conda-forge/scikit-surprise) (📥 480K · ⏱️ 22.04.2025):

conda install -c conda-forge scikit-surprise

RecBole (🥈28 · ⭐ 3.8K) - A unified, comprehensive and efficient recommendation library. MIT

- [GitHub](https://github.com/RUCAIBox/RecBole) (👨‍💻 79 · 🔀 660 · 📋 1K - 30% open · ⏱️ 24.02.2025):

git clone https://github.com/RUCAIBox/RecBole

- [PyPi](https://pypi.org/project/recbole) (📥 99K / month · 📦 2 · ⏱️ 24.02.2025):

pip install recbole

- [Conda](https://anaconda.org/aibox/recbole) (📥 8.6K · ⏱️ 25.03.2025):

conda install -c aibox recbole

TF Recommenders (🥉24 · ⭐ 1.9K) - TensorFlow Recommenders is a library for building.. Apache-2

- [GitHub](https://github.com/tensorflow/recommenders) (👨‍💻 43 · 🔀 290 · 📋 450 - 59% open · ⏱️ 16.01.2025):

git clone https://github.com/tensorflow/recommenders

- [PyPi](https://pypi.org/project/tensorflow-recommenders) (📥 240K / month · 📦 2 · ⏱️ 03.02.2023):

pip install tensorflow-recommenders

Show 11 hidden projects...

- implicit (🥈30 · ⭐ 3.7K · 💀) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT - lightfm (🥈29 · ⭐ 4.9K · 💀) - A Python implementation of LightFM, a hybrid recommendation.. Apache-2 - lkpy (🥈29 · ⭐ 290) - Python recommendation toolkit. MIT - TF Ranking (🥉26 · ⭐ 2.8K · 💀) - Learning to Rank in TensorFlow. Apache-2 - tensorrec (🥉21 · ⭐ 1.3K · 💀) - A TensorFlow recommendation algorithm and framework in.. Apache-2 - fastFM (🥉21 · ⭐ 1.1K · 💀) - fastFM: A Library for Factorization Machines. BSD-3 - Spotlight (🥉19 · ⭐ 3K · 💀) - Deep recommender models using PyTorch. MIT - recmetrics (🥉19 · ⭐ 580 · 💀) - A library of metrics for evaluating recommender systems. MIT - Case Recommender (🥉18 · ⭐ 500 · 💀) - Case Recommender: A Flexible and Extensible Python.. MIT - OpenRec (🥉16 · ⭐ 410 · 💀) - OpenRec is an open-source and modular library for neural network-.. Apache-2 - Collie (🥉11 · ⭐ 100 · 💀) - A library for preparing, training, and evaluating scalable deep.. BSD-3

Privacy Machine Learning

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

PySyft (🥇32 · ⭐ 9.7K) - Perform data science on data that remains in someone elses server. Apache-2

- [GitHub](https://github.com/OpenMined/PySyft) (👨‍💻 520 · 🔀 2K · 📥 2K · 📦 1 · 📋 3.4K - 1% open · ⏱️ 13.04.2025):

git clone https://github.com/OpenMined/PySyft

- [PyPi](https://pypi.org/project/syft) (📥 7.3K / month · 📦 5 · ⏱️ 13.04.2025):

pip install syft

Opacus (🥇32 · ⭐ 1.8K) - Training PyTorch models with differential privacy. Apache-2

- [GitHub](https://github.com/pytorch/opacus) (👨‍💻 85 · 🔀 360 · 📥 140 · 📦 1.1K · 📋 330 - 20% open · ⏱️ 13.05.2025):

git clone https://github.com/pytorch/opacus

- [PyPi](https://pypi.org/project/opacus) (📥 100K / month · 📦 42 · ⏱️ 18.02.2025):

pip install opacus

- [Conda](https://anaconda.org/conda-forge/opacus) (📥 24K · ⏱️ 22.04.2025):

conda install -c conda-forge opacus

TensorFlow Privacy (🥈25 · ⭐ 2K) - Library for training machine learning models with.. Apache-2

- [GitHub](https://github.com/tensorflow/privacy) (👨‍💻 60 · 🔀 450 · 📥 190 · 📋 210 - 55% open · ⏱️ 21.05.2025):

git clone https://github.com/tensorflow/privacy

- [PyPi](https://pypi.org/project/tensorflow-privacy) (📥 20K / month · 📦 21 · ⏱️ 14.02.2024):

pip install tensorflow-privacy

TFEncrypted (🥉24 · ⭐ 1.2K · 💤) - A Framework for Encrypted Machine Learning in.. Apache-2

- [GitHub](https://github.com/tf-encrypted/tf-encrypted) (👨‍💻 29 · 🔀 210 · 📦 68 · 📋 440 - 32% open · ⏱️ 25.09.2024):

git clone https://github.com/tf-encrypted/tf-encrypted

- [PyPi](https://pypi.org/project/tf-encrypted) (📥 710 / month · 📦 9 · ⏱️ 16.11.2022):

pip install tf-encrypted

FATE (🥉23 · ⭐ 5.9K) - An Industrial Grade Federated Learning Framework. Apache-2

- [GitHub](https://github.com/FederatedAI/FATE) (👨‍💻 100 · 🔀 1.6K · 📋 2.1K - 3% open · ⏱️ 19.11.2024):

git clone https://github.com/FederatedAI/FATE

- [PyPi](https://pypi.org/project/ETAF) (⏱️ 06.05.2020):

pip install ETAF

CrypTen (🥉21 · ⭐ 1.6K) - A framework for Privacy Preserving Machine Learning. MIT

- [GitHub](https://github.com/facebookresearch/CrypTen) (👨‍💻 39 · 🔀 290 · 📋 280 - 28% open · ⏱️ 23.11.2024):

git clone https://github.com/facebookresearch/CrypTen

- [PyPi](https://pypi.org/project/crypten) (📥 520 / month · 📦 1 · ⏱️ 08.12.2022):

pip install crypten

Show 1 hidden projects...

- PipelineDP (🥉20 · ⭐ 280) - PipelineDP is a Python framework for applying differentially.. Apache-2

Workflow & Experiment Tracking

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

mlflow (🥇44 · ⭐ 21K) - Open source platform for the machine learning lifecycle. Apache-2

- [GitHub](https://github.com/mlflow/mlflow) (👨‍💻 860 · 🔀 4.5K · 📦 62K · 📋 4.7K - 39% open · ⏱️ 22.05.2025):

git clone https://github.com/mlflow/mlflow

- [PyPi](https://pypi.org/project/mlflow) (📥 17M / month · 📦 1.1K · ⏱️ 21.05.2025):

pip install mlflow

- [Conda](https://anaconda.org/conda-forge/mlflow) (📥 3.2M · ⏱️ 26.04.2025):

conda install -c conda-forge mlflow

wandb client (🥇43 · ⭐ 9.9K) - The AI developer platform. Use Weights & Biases to train and fine-.. MIT

- [GitHub](https://github.com/wandb/wandb) (👨‍💻 210 · 🔀 740 · 📥 720 · 📦 79K · 📋 3.6K - 17% open · ⏱️ 21.05.2025):

git clone https://github.com/wandb/client

- [PyPi](https://pypi.org/project/wandb) (📥 18M / month · 📦 1.9K · ⏱️ 07.05.2025):

pip install wandb

- [Conda](https://anaconda.org/conda-forge/wandb) (📥 1.1M · ⏱️ 08.05.2025):

conda install -c conda-forge wandb

Tensorboard (🥇43 · ⭐ 6.9K) - TensorFlows Visualization Toolkit. Apache-2

- [GitHub](https://github.com/tensorflow/tensorboard) (👨‍💻 330 · 🔀 1.7K · 📦 320K · 📋 1.9K - 35% open · ⏱️ 09.05.2025):

git clone https://github.com/tensorflow/tensorboard

- [PyPi](https://pypi.org/project/tensorboard) (📥 27M / month · 📦 2.5K · ⏱️ 12.02.2025):

pip install tensorboard

- [Conda](https://anaconda.org/conda-forge/tensorboard) (📥 5.6M · ⏱️ 22.04.2025):

conda install -c conda-forge tensorboard

DVC (🥇41 · ⭐ 14K) - Data Versioning and ML Experiments. Apache-2

- [GitHub](https://github.com/iterative/dvc) (👨‍💻 310 · 🔀 1.2K · 📦 24K · 📋 4.8K - 5% open · ⏱️ 20.05.2025):

git clone https://github.com/iterative/dvc

- [PyPi](https://pypi.org/project/dvc) (📥 660K / month · 📦 140 · ⏱️ 06.05.2025):

pip install dvc

- [Conda](https://anaconda.org/conda-forge/dvc) (📥 2.8M · ⏱️ 06.05.2025):

conda install -c conda-forge dvc

SageMaker SDK (🥇41 · ⭐ 2.2K) - A library for training and deploying machine learning.. Apache-2

- [GitHub](https://github.com/aws/sagemaker-python-sdk) (👨‍💻 480 · 🔀 1.2K · 📦 6K · 📋 1.6K - 20% open · ⏱️ 22.05.2025):

git clone https://github.com/aws/sagemaker-python-sdk

- [PyPi](https://pypi.org/project/sagemaker) (📥 25M / month · 📦 180 · ⏱️ 19.05.2025):

pip install sagemaker

- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (📥 1.5M · ⏱️ 21.05.2025):

conda install -c conda-forge sagemaker-python-sdk

Metaflow (🥈36 · ⭐ 8.8K) - Build, Manage and Deploy AI/ML Systems. Apache-2

- [GitHub](https://github.com/Netflix/metaflow) (👨‍💻 100 · 🔀 830 · 📦 910 · 📋 800 - 43% open · ⏱️ 21.05.2025):

git clone https://github.com/Netflix/metaflow

- [PyPi](https://pypi.org/project/metaflow) (📥 250K / month · 📦 52 · ⏱️ 21.05.2025):

pip install metaflow

- [Conda](https://anaconda.org/conda-forge/metaflow) (📥 300K · ⏱️ 22.04.2025):

conda install -c conda-forge metaflow

PyCaret (🥈35 · ⭐ 9.3K) - An open-source, low-code machine learning library in Python. MIT

- [GitHub](https://github.com/pycaret/pycaret) (👨‍💻 140 · 🔀 1.8K · 📥 730 · 📦 7.7K · 📋 2.3K - 16% open · ⏱️ 06.03.2025):

git clone https://github.com/pycaret/pycaret

- [PyPi](https://pypi.org/project/pycaret) (📥 340K / month · 📦 31 · ⏱️ 28.04.2024):

pip install pycaret

- [Conda](https://anaconda.org/conda-forge/pycaret) (📥 70K · ⏱️ 22.04.2025):

conda install -c conda-forge pycaret

ClearML (🥈34 · ⭐ 6K) - ClearML - Auto-Magical CI/CD to streamline your AI workload... Apache-2

- [GitHub](https://github.com/clearml/clearml) (👨‍💻 100 · 🔀 680 · 📥 3.2K · 📦 1.8K · 📋 1.1K - 43% open · ⏱️ 22.05.2025):

git clone https://github.com/allegroai/clearml

- [PyPi](https://pypi.org/project/clearml) (📥 380K / month · 📦 58 · ⏱️ 22.05.2025):

pip install clearml

- [Docker Hub](https://hub.docker.com/r/allegroai/trains) (📥 31K · ⏱️ 05.10.2020):

docker pull allegroai/trains

snakemake (🥈34 · ⭐ 2.5K) - This is the development home of the workflow management system.. MIT

- [GitHub](https://github.com/snakemake/snakemake) (👨‍💻 370 · 🔀 590 · 📦 2.4K · 📋 2K - 60% open · ⏱️ 22.05.2025):

git clone https://github.com/snakemake/snakemake

- [PyPi](https://pypi.org/project/snakemake) (📥 79K / month · 📦 280 · ⏱️ 22.05.2025):

pip install snakemake

- [Conda](https://anaconda.org/bioconda/snakemake) (📥 1.4M · ⏱️ 21.05.2025):

conda install -c bioconda snakemake

tensorboardX (🥈33 · ⭐ 7.9K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT

- [GitHub](https://github.com/lanpa/tensorboardX) (👨‍💻 85 · 🔀 860 · 📥 480 · 📦 58K · 📋 460 - 17% open · ⏱️ 24.04.2025):

git clone https://github.com/lanpa/tensorboardX

- [PyPi](https://pypi.org/project/tensorboardX) (📥 2.7M / month · 📦 620 · ⏱️ 20.08.2023):

pip install tensorboardX

- [Conda](https://anaconda.org/conda-forge/tensorboardx) (📥 1.3M · ⏱️ 22.04.2025):

conda install -c conda-forge tensorboardx

kaggle (🥈33 · ⭐ 6.6K) - Official Kaggle API. Apache-2

- [GitHub](https://github.com/Kaggle/kaggle-api) (👨‍💻 49 · 🔀 1.2K · 📦 21 · 📋 520 - 27% open · ⏱️ 22.05.2025):

git clone https://github.com/Kaggle/kaggle-api

- [PyPi](https://pypi.org/project/kaggle) (📥 340K / month · 📦 240 · ⏱️ 08.05.2025):

pip install kaggle

- [Conda](https://anaconda.org/conda-forge/kaggle) (📥 230K · ⏱️ 22.04.2025):

conda install -c conda-forge kaggle

aim (🥈33 · ⭐ 5.6K) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2

- [GitHub](https://github.com/aimhubio/aim) (👨‍💻 82 · 🔀 340 · 📦 890 · 📋 1.1K - 36% open · ⏱️ 08.05.2025):

git clone https://github.com/aimhubio/aim

- [PyPi](https://pypi.org/project/aim) (📥 130K / month · 📦 41 · ⏱️ 21.05.2025):

pip install aim

- [Conda](https://anaconda.org/conda-forge/aim) (📥 120K · ⏱️ 22.04.2025):

conda install -c conda-forge aim

AzureML SDK (🥈31 · ⭐ 4.2K) - Python notebooks with ML and deep learning examples with Azure.. MIT

- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (👨‍💻 65 · 🔀 2.5K · 📥 660 · 📋 1.5K - 26% open · ⏱️ 14.03.2025):

git clone https://github.com/Azure/MachineLearningNotebooks

- [PyPi](https://pypi.org/project/azureml-sdk) (📥 340K / month · 📦 31 · ⏱️ 11.04.2025):

pip install azureml-sdk

sacred (🥈30 · ⭐ 4.3K) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT

- [GitHub](https://github.com/IDSIA/sacred) (👨‍💻 110 · 🔀 380 · 📦 3.6K · 📋 560 - 18% open · ⏱️ 26.11.2024):

git clone https://github.com/IDSIA/sacred

- [PyPi](https://pypi.org/project/sacred) (📥 29K / month · 📦 60 · ⏱️ 26.11.2024):

pip install sacred

- [Conda](https://anaconda.org/conda-forge/sacred) (📥 8.8K · ⏱️ 22.04.2025):

conda install -c conda-forge sacred

Neptune.ai (🥈29 · ⭐ 610) - The experiment tracker for foundation model training. Apache-2

- [GitHub](https://github.com/neptune-ai/neptune-client) (👨‍💻 55 · 🔀 65 · 📦 870 · 📋 260 - 12% open · ⏱️ 16.04.2025):

git clone https://github.com/neptune-ai/neptune-client

- [PyPi](https://pypi.org/project/neptune-client) (📥 490K / month · 📦 77 · ⏱️ 15.04.2025):

pip install neptune-client

- [Conda](https://anaconda.org/conda-forge/neptune-client) (📥 350K · ⏱️ 22.04.2025):

conda install -c conda-forge neptune-client

ml-metadata (🥈28 · ⭐ 650) - For recording and retrieving metadata associated with ML.. Apache-2

- [GitHub](https://github.com/google/ml-metadata) (👨‍💻 23 · 🔀 160 · 📥 3K · 📦 700 · 📋 120 - 39% open · ⏱️ 03.04.2025):

git clone https://github.com/google/ml-metadata

- [PyPi](https://pypi.org/project/ml-metadata) (📥 67K / month · 📦 32 · ⏱️ 07.04.2025):

pip install ml-metadata

VisualDL (🥉27 · ⭐ 4.8K) - Deep Learning Visualization Toolkit. Apache-2

- [GitHub](https://github.com/PaddlePaddle/VisualDL) (👨‍💻 36 · 🔀 630 · 📥 510 · 📦 2 · 📋 510 - 30% open · ⏱️ 22.01.2025):

git clone https://github.com/PaddlePaddle/VisualDL

- [PyPi](https://pypi.org/project/visualdl) (📥 130K / month · 📦 82 · ⏱️ 30.10.2024):

pip install visualdl

livelossplot (🥉27 · ⭐ 1.3K) - Live training loss plot in Jupyter Notebook for Keras,.. MIT

- [GitHub](https://github.com/stared/livelossplot) (👨‍💻 17 · 🔀 140 · 📦 1.8K · 📋 79 - 7% open · ⏱️ 03.01.2025):

git clone https://github.com/stared/livelossplot

- [PyPi](https://pypi.org/project/livelossplot) (📥 16K / month · 📦 16 · ⏱️ 03.01.2025):

pip install livelossplot

quinn (🥉26 · ⭐ 670) - pyspark methods to enhance developer productivity. Apache-2

- [GitHub](https://github.com/mrpowers-io/quinn) (👨‍💻 31 · 🔀 97 · 📥 57 · 📦 93 · 📋 130 - 27% open · ⏱️ 06.12.2024):

git clone https://github.com/MrPowers/quinn

- [PyPi](https://pypi.org/project/quinn) (📥 590K / month · 📦 7 · ⏱️ 13.02.2024):

pip install quinn

Labml (🥉25 · ⭐ 2.2K) - Monitor deep learning model training and hardware usage from your mobile.. MIT

- [GitHub](https://github.com/labmlai/labml) (👨‍💻 9 · 🔀 140 · 📦 220 · 📋 50 - 12% open · ⏱️ 10.04.2025):

git clone https://github.com/labmlai/labml

- [PyPi](https://pypi.org/project/labml) (📥 2.5K / month · 📦 14 · ⏱️ 15.09.2024):

pip install labml

TNT (🥉25 · ⭐ 1.7K) - A lightweight library for PyTorch training tools and utilities. BSD-3

- [GitHub](https://github.com/pytorch/tnt) (👨‍💻 150 · 🔀 280 · 📋 150 - 56% open · ⏱️ 12.05.2025):

git clone https://github.com/pytorch/tnt

- [PyPi](https://pypi.org/project/torchnet) (📥 5.9K / month · 📦 24 · ⏱️ 29.07.2018):

pip install torchnet

gokart (🥉25 · ⭐ 320) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT

- [GitHub](https://github.com/m3dev/gokart) (👨‍💻 47 · 🔀 62 · 📦 85 · 📋 99 - 32% open · ⏱️ 29.04.2025):

git clone https://github.com/m3dev/gokart

- [PyPi](https://pypi.org/project/gokart) (📥 4.7K / month · 📦 8 · ⏱️ 27.02.2025):

pip install gokart

Guild AI (🥉23 · ⭐ 880) - Experiment tracking, ML developer tools. Apache-2

- [GitHub](https://github.com/guildai/guildai) (👨‍💻 30 · 🔀 88 · 📥 31 · 📦 100 · 📋 440 - 50% open · ⏱️ 29.04.2025):

git clone https://github.com/guildai/guildai

- [PyPi](https://pypi.org/project/guildai) (📥 2K / month · ⏱️ 11.05.2022):

pip install guildai

keepsake (🥉17 · ⭐ 1.7K) - Version control for machine learning. Apache-2

- [GitHub](https://github.com/replicate/keepsake) (👨‍💻 18 · 🔀 71 · 📋 190 - 66% open · ⏱️ 03.12.2024):

git clone https://github.com/replicate/keepsake

- [PyPi](https://pypi.org/project/keepsake) (📥 84 / month · 📦 1 · ⏱️ 25.01.2021):

pip install keepsake

CometML (🥉16) - Supercharging Machine Learning. MIT

- [GitHub]():

git clone https://github.com/comet-ml/examples

- [PyPi](https://pypi.org/project/comet_ml) (📥 470K / month · 📦 94 · ⏱️ 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 (🥈28 · ⭐ 3.4K · 💀) - Accelerated deep learning R&D. Apache-2 - knockknock (🥉26 · ⭐ 2.8K · 💀) - Knock Knock: Get notified when your training ends with only two.. MIT - SKLL (🥉24 · ⭐ 560) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. ❗Unlicensed - hiddenlayer (🥉22 · ⭐ 1.8K · 💀) - Neural network graphs and training metrics for.. MIT - Studio.ml (🥉22 · ⭐ 380 · 💀) - Studio: Simplify and expedite model building process. Apache-2 - lore (🥉21 · ⭐ 1.6K · 💀) - Lore makes machine learning approachable for Software Engineers and.. MIT - TensorBoard Logger (🥉21 · ⭐ 630 · 💀) - Log TensorBoard events without touching TensorFlow. MIT - TensorWatch (🥉20 · ⭐ 3.4K · 💀) - Debugging, monitoring and visualization for Python Machine.. MIT - MXBoard (🥉20 · ⭐ 320 · 💀) - Logging MXNet data for visualization in TensorBoard. Apache-2 - datmo (🥉18 · ⭐ 340 · 💀) - Open source production model management tool for data scientists. MIT - chitra (🥉17 · ⭐ 230 · 💤) - A multi-functional library for full-stack Deep Learning... Apache-2 - caliban (🥉16 · ⭐ 500 · 💀) - Research workflows made easy, locally and in the Cloud. Apache-2 - steppy (🥉16 · ⭐ 130 · 💀) - Lightweight, Python library for fast and reproducible experimentation. MIT - ModelChimp (🥉13 · ⭐ 130 · 💀) - Experiment tracking for machine and deep learning projects. BSD-2 - traintool (🥉9 · ⭐ 12 · 💀) - Train off-the-shelf machine learning models in one.. Apache-2

Model Serialization & Deployment

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

onnx (🥇43 · ⭐ 19K) - Open standard for machine learning interoperability. Apache-2

- [GitHub](https://github.com/onnx/onnx) (👨‍💻 340 · 🔀 3.7K · 📥 24K · 📦 46K · 📋 3K - 10% open · ⏱️ 22.05.2025):

git clone https://github.com/onnx/onnx

- [PyPi](https://pypi.org/project/onnx) (📥 7M / month · 📦 1.3K · ⏱️ 12.05.2025):

pip install onnx

- [Conda](https://anaconda.org/conda-forge/onnx) (📥 1.8M · ⏱️ 16.05.2025):

conda install -c conda-forge onnx

triton (🥇43 · ⭐ 16K) - Development repository for the Triton language and compiler. MIT

- [GitHub](https://github.com/triton-lang/triton) (👨‍💻 400 · 🔀 1.9K · 📦 68K · 📋 1.8K - 42% open · ⏱️ 22.05.2025):

git clone https://github.com/openai/triton

- [PyPi](https://pypi.org/project/triton) (📥 24M / month · 📦 400 · ⏱️ 09.04.2025):

pip install triton

huggingface_hub (🥈38 · ⭐ 2.6K) - The official Python client for the Huggingface Hub. Apache-2

- [GitHub](https://github.com/huggingface/huggingface_hub) (👨‍💻 240 · 🔀 710 · 📋 1.2K - 15% open · ⏱️ 22.05.2025):

git clone https://github.com/huggingface/huggingface_hub

- [PyPi](https://pypi.org/project/huggingface_hub) (📥 88M / month · 📦 3K · ⏱️ 19.05.2025):

pip install huggingface_hub

- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (📥 3.2M · ⏱️ 19.05.2025):

conda install -c conda-forge huggingface_hub

Core ML Tools (🥈36 · ⭐ 4.7K) - Core ML tools contain supporting tools for Core ML model.. BSD-3

- [GitHub](https://github.com/apple/coremltools) (👨‍💻 190 · 🔀 680 · 📥 15K · 📦 4.9K · 📋 1.5K - 25% open · ⏱️ 20.05.2025):

git clone https://github.com/apple/coremltools

- [PyPi](https://pypi.org/project/coremltools) (📥 510K / month · 📦 98 · ⏱️ 28.04.2025):

pip install coremltools

- [Conda](https://anaconda.org/conda-forge/coremltools) (📥 97K · ⏱️ 22.04.2025):

conda install -c conda-forge coremltools

BentoML (🥈35 · ⭐ 7.7K) - The easiest way to serve AI apps and models - Build Model Inference.. Apache-2

- [GitHub](https://github.com/bentoml/BentoML) (👨‍💻 260 · 🔀 840 · 📥 400 · 📦 2.7K · 📋 1.1K - 11% open · ⏱️ 22.05.2025):

git clone https://github.com/bentoml/BentoML

- [PyPi](https://pypi.org/project/bentoml) (📥 110K / month · 📦 40 · ⏱️ 20.05.2025):

pip install bentoml

TorchServe (🥈33 · ⭐ 4.4K) - Serve, optimize and scale PyTorch models in production. Apache-2

- [GitHub](https://github.com/pytorch/serve) (👨‍💻 220 · 🔀 880 · 📥 7.7K · 📦 870 · 📋 1.7K - 25% open · ⏱️ 17.03.2025):

git clone https://github.com/pytorch/serve

- [PyPi](https://pypi.org/project/torchserve) (📥 92K / month · 📦 24 · ⏱️ 30.09.2024):

pip install torchserve

- [Conda](https://anaconda.org/pytorch/torchserve) (📥 500K · ⏱️ 25.03.2025):

conda install -c pytorch torchserve

- [Docker Hub](https://hub.docker.com/r/pytorch/torchserve) (📥 1.4M · ⭐ 32 · ⏱️ 30.09.2024):

docker pull pytorch/torchserve

hls4ml (🥈30 · ⭐ 1.5K) - Machine learning on FPGAs using HLS. Apache-2

- [GitHub](https://github.com/fastmachinelearning/hls4ml) (👨‍💻 69 · 🔀 440 · 📦 47 · 📋 480 - 42% open · ⏱️ 05.05.2025):

git clone https://github.com/fastmachinelearning/hls4ml

- [PyPi](https://pypi.org/project/hls4ml) (📥 2K / month · 📦 1 · ⏱️ 17.03.2025):

pip install hls4ml

- [Conda](https://anaconda.org/conda-forge/hls4ml) (📥 11K · ⏱️ 22.04.2025):

conda install -c conda-forge hls4ml

Hummingbird (🥉24 · ⭐ 3.4K · 💤) - Hummingbird compiles trained ML models into tensor computation.. MIT

- [GitHub](https://github.com/microsoft/hummingbird) (👨‍💻 40 · 🔀 280 · 📥 850 · 📋 330 - 20% open · ⏱️ 24.10.2024):

git clone https://github.com/microsoft/hummingbird

- [PyPi](https://pypi.org/project/hummingbird-ml) (📥 6K / month · 📦 7 · ⏱️ 25.10.2024):

pip install hummingbird-ml

- [Conda](https://anaconda.org/conda-forge/hummingbird-ml) (📥 59K · ⏱️ 22.04.2025):

conda install -c conda-forge hummingbird-ml

nebullvm (🥉21 · ⭐ 8.4K · 💤) - A collection of libraries to optimise AI model performances. Apache-2

- [GitHub](https://github.com/nebuly-ai/optimate) (👨‍💻 40 · 🔀 630 · 📋 200 - 49% open · ⏱️ 22.07.2024):

git clone https://github.com/nebuly-ai/nebullvm

- [PyPi](https://pypi.org/project/nebullvm) (📥 950 / month · 📦 2 · ⏱️ 18.06.2023):

pip install nebullvm

tfdeploy (🥉17 · ⭐ 350) - Deploy tensorflow graphs for fast evaluation and export to.. BSD-3

- [GitHub](https://github.com/riga/tfdeploy) (👨‍💻 4 · 🔀 38 · 📋 34 - 32% open · ⏱️ 04.01.2025):

git clone https://github.com/riga/tfdeploy

- [PyPi](https://pypi.org/project/tfdeploy) (📥 160 / month · ⏱️ 30.03.2017):

pip install tfdeploy

Show 10 hidden projects...

- mmdnn (🥈25 · ⭐ 5.8K · 💀) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT - m2cgen (🥈25 · ⭐ 2.9K · 💀) - Transform ML models into a native code (Java, C, Python, Go,.. MIT - sklearn-porter (🥉24 · ⭐ 1.3K · 💀) - Transpile trained scikit-learn estimators to C, Java,.. BSD-3 - cortex (🥉22 · ⭐ 8K · 💀) - Production infrastructure for machine learning at scale. Apache-2 - OMLT (🥉21 · ⭐ 320) - Represent trained machine learning models as Pyomo optimization.. ❗Unlicensed - pytorch2keras (🥉19 · ⭐ 860 · 💀) - PyTorch to Keras model convertor. MIT - Larq Compute Engine (🥉19 · ⭐ 250) - Highly optimized inference engine for Binarized.. Apache-2 - modelkit (🥉18 · ⭐ 150 · 💤) - Toolkit for developing and maintaining ML models. MIT - backprop (🥉15 · ⭐ 240 · 💀) - Backprop makes it simple to use, finetune, and deploy state-of-.. Apache-2 - ml-ane-transformers (🥉13 · ⭐ 2.6K · 💀) - Reference implementation of the Transformer.. ❗Unlicensed

Model Interpretability

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

shap (🥇42 · ⭐ 24K) - A game theoretic approach to explain the output of any machine learning model. MIT

- [GitHub](https://github.com/shap/shap) (👨‍💻 270 · 🔀 3.4K · 📦 33K · 📋 2.6K - 25% open · ⏱️ 22.05.2025):

git clone https://github.com/slundberg/shap

- [PyPi](https://pypi.org/project/shap) (📥 7.2M / month · 📦 960 · ⏱️ 17.04.2025):

pip install shap

- [Conda](https://anaconda.org/conda-forge/shap) (📥 6.1M · ⏱️ 22.04.2025):

conda install -c conda-forge shap

arviz (🥇36 · ⭐ 1.7K) - Exploratory analysis of Bayesian models with Python. Apache-2

- [GitHub](https://github.com/arviz-devs/arviz) (👨‍💻 170 · 🔀 430 · 📥 180 · 📦 11K · 📋 890 - 21% open · ⏱️ 28.04.2025):

git clone https://github.com/arviz-devs/arviz

- [PyPi](https://pypi.org/project/arviz) (📥 1.7M / month · 📦 360 · ⏱️ 06.03.2025):

pip install arviz

- [Conda](https://anaconda.org/conda-forge/arviz) (📥 2.4M · ⏱️ 22.04.2025):

conda install -c conda-forge arviz

Netron (🥇35 · ⭐ 30K) - Visualizer for neural network, deep learning and machine learning.. MIT

- [GitHub](https://github.com/lutzroeder/netron) (👨‍💻 2 · 🔀 2.9K · 📥 53K · 📦 13 · 📋 1.2K - 1% open · ⏱️ 21.05.2025):

git clone https://github.com/lutzroeder/netron

- [PyPi](https://pypi.org/project/netron) (📥 39K / month · 📦 88 · ⏱️ 16.05.2025):

pip install netron

Captum (🥇35 · ⭐ 5.2K) - Model interpretability and understanding for PyTorch. BSD-3

- [GitHub](https://github.com/pytorch/captum) (👨‍💻 130 · 🔀 510 · 📦 3.3K · 📋 600 - 42% open · ⏱️ 21.05.2025):

git clone https://github.com/pytorch/captum

- [PyPi](https://pypi.org/project/captum) (📥 300K / month · 📦 170 · ⏱️ 27.03.2025):

pip install captum

- [Conda](https://anaconda.org/conda-forge/captum) (📥 120K · ⏱️ 22.04.2025):

conda install -c conda-forge captum

InterpretML (🥇34 · ⭐ 6.5K) - Fit interpretable models. Explain blackbox machine learning. MIT

- [GitHub](https://github.com/interpretml/interpret) (👨‍💻 48 · 🔀 740 · 📦 900 · 📋 470 - 22% open · ⏱️ 17.04.2025):

git clone https://github.com/interpretml/interpret

- [PyPi](https://pypi.org/project/interpret) (📥 180K / month · 📦 53 · ⏱️ 26.03.2025):

pip install interpret

shapash (🥈31 · ⭐ 2.9K) - Shapash: User-friendly Explainability and Interpretability to.. Apache-2

- [GitHub](https://github.com/MAIF/shapash) (👨‍💻 41 · 🔀 340 · 📦 190 · 📋 240 - 18% open · ⏱️ 16.05.2025):

git clone https://github.com/MAIF/shapash

- [PyPi](https://pypi.org/project/shapash) (📥 9.9K / month · 📦 4 · ⏱️ 20.03.2025):

pip install shapash

evaluate (🥈31 · ⭐ 2.2K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2

- [GitHub](https://github.com/huggingface/evaluate) (👨‍💻 130 · 🔀 270 · 📦 22K · 📋 370 - 61% open · ⏱️ 10.01.2025):

git clone https://github.com/huggingface/evaluate

- [PyPi](https://pypi.org/project/evaluate) (📥 3M / month · 📦 400 · ⏱️ 11.09.2024):

pip install evaluate

explainerdashboard (🥈30 · ⭐ 2.4K) - Quickly build Explainable AI dashboards that show the inner.. MIT

- [GitHub](https://github.com/oegedijk/explainerdashboard) (👨‍💻 21 · 🔀 340 · 📦 630 · 📋 240 - 15% open · ⏱️ 29.12.2024):

git clone https://github.com/oegedijk/explainerdashboard

- [PyPi](https://pypi.org/project/explainerdashboard) (📥 51K / month · 📦 13 · ⏱️ 29.12.2024):

pip install explainerdashboard

- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (📥 66K · ⏱️ 22.04.2025):

conda install -c conda-forge explainerdashboard

fairlearn (🥈30 · ⭐ 2.1K) - A Python package to assess and improve fairness of machine.. MIT

- [GitHub](https://github.com/fairlearn/fairlearn) (👨‍💻 100 · 🔀 450 · 📦 3 · 📋 540 - 28% open · ⏱️ 05.05.2025):

git clone https://github.com/fairlearn/fairlearn

- [PyPi](https://pypi.org/project/fairlearn) (📥 130K / month · 📦 63 · ⏱️ 11.12.2024):

pip install fairlearn

- [Conda](https://anaconda.org/conda-forge/fairlearn) (📥 46K · ⏱️ 22.04.2025):

conda install -c conda-forge fairlearn

dtreeviz (🥈28 · ⭐ 3.1K) - A python library for decision tree visualization and model interpretation. MIT

- [GitHub](https://github.com/parrt/dtreeviz) (👨‍💻 27 · 🔀 340 · 📦 1.6K · 📋 210 - 34% open · ⏱️ 06.03.2025):

git clone https://github.com/parrt/dtreeviz

- [PyPi](https://pypi.org/project/dtreeviz) (📥 93K / month · 📦 53 · ⏱️ 07.07.2022):

pip install dtreeviz

- [Conda](https://anaconda.org/conda-forge/dtreeviz) (📥 110K · ⏱️ 22.04.2025):

conda install -c conda-forge dtreeviz

DoWhy (🥈27 · ⭐ 7.5K) - DoWhy is a Python library for causal inference that supports explicit.. MIT

- [GitHub](https://github.com/py-why/dowhy) (👨‍💻 100 · 🔀 940 · 📥 43 · 📦 610 · 📋 500 - 27% open · ⏱️ 19.05.2025):

git clone https://github.com/py-why/dowhy

- [PyPi](https://pypi.org/project/dowhy) (📥 53K / month · 📦 18 · ⏱️ 24.11.2024):

pip install dowhy

- [Conda](https://anaconda.org/conda-forge/dowhy) (📥 44K · ⏱️ 22.04.2025):

conda install -c conda-forge dowhy

Fairness 360 (🥈27 · ⭐ 2.6K) - A comprehensive set of fairness metrics for datasets and.. Apache-2

- [GitHub](https://github.com/Trusted-AI/AIF360) (👨‍💻 73 · 🔀 850 · 📦 680 · 📋 300 - 65% open · ⏱️ 10.12.2024):

git clone https://github.com/Trusted-AI/AIF360

- [PyPi](https://pypi.org/project/aif360) (📥 23K / month · 📦 32 · ⏱️ 08.04.2024):

pip install aif360

- [Conda](https://anaconda.org/conda-forge/aif360) (📥 23K · ⏱️ 22.04.2025):

conda install -c conda-forge aif360

Model Analysis (🥈26 · ⭐ 1.3K) - Model analysis tools for TensorFlow. Apache-2

- [GitHub](https://github.com/tensorflow/model-analysis) (👨‍💻 59 · 🔀 280 · 📋 97 - 39% open · ⏱️ 28.04.2025):

git clone https://github.com/tensorflow/model-analysis

- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (📥 69K / month · 📦 19 · ⏱️ 05.12.2024):

pip install tensorflow-model-analysis

LIT (🥉25 · ⭐ 3.6K · 📉) - The Learning Interpretability Tool: Interactively analyze ML models.. Apache-2

- [GitHub](https://github.com/PAIR-code/lit) (👨‍💻 38 · 🔀 360 · 📋 210 - 57% open · ⏱️ 20.12.2024):

git clone https://github.com/PAIR-code/lit

- [PyPi](https://pypi.org/project/lit-nlp) (📥 4.9K / month · 📦 3 · ⏱️ 20.12.2024):

pip install lit-nlp

- [Conda](https://anaconda.org/conda-forge/lit-nlp) (📥 120K · ⏱️ 22.04.2025):

conda install -c conda-forge lit-nlp

responsible-ai-widgets (🥉25 · ⭐ 1.5K) - Responsible AI Toolbox is a suite of tools providing.. MIT

- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (👨‍💻 43 · 🔀 400 · 📋 320 - 26% open · ⏱️ 07.02.2025):

git clone https://github.com/microsoft/responsible-ai-toolbox

- [PyPi](https://pypi.org/project/raiwidgets) (📥 8.3K / month · 📦 6 · ⏱️ 08.07.2024):

pip install raiwidgets

imodels (🥉24 · ⭐ 1.5K) - Interpretable ML package for concise, transparent, and accurate.. MIT

- [GitHub](https://github.com/csinva/imodels) (👨‍💻 25 · 🔀 120 · 📦 120 · 📋 95 - 38% open · ⏱️ 05.03.2025):

git clone https://github.com/csinva/imodels

- [PyPi](https://pypi.org/project/imodels) (📥 41K / month · 📦 9 · ⏱️ 15.10.2024):

pip install imodels

keract (🥉24 · ⭐ 1.1K) - Layers Outputs and Gradients in Keras. Made easy. MIT

- [GitHub](https://github.com/philipperemy/keract) (👨‍💻 17 · 🔀 190 · 📦 250 · 📋 89 - 3% open · ⏱️ 07.04.2025):

git clone https://github.com/philipperemy/keract

- [PyPi](https://pypi.org/project/keract) (📥 3.8K / month · 📦 7 · ⏱️ 07.04.2025):

pip install keract

aequitas (🥉24 · ⭐ 720) - Bias Auditing & Fair ML Toolkit. MIT

- [GitHub](https://github.com/dssg/aequitas) (👨‍💻 23 · 🔀 120 · 📦 190 · 📋 99 - 51% open · ⏱️ 25.03.2025):

git clone https://github.com/dssg/aequitas

- [PyPi](https://pypi.org/project/aequitas) (📥 18K / month · 📦 8 · ⏱️ 30.01.2024):

pip install aequitas

ecco (🥉22 · ⭐ 2K · 💤) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3

- [GitHub](https://github.com/jalammar/ecco) (👨‍💻 12 · 🔀 170 · 📥 140 · 📦 33 · 📋 64 - 51% open · ⏱️ 15.08.2024):

git clone https://github.com/jalammar/ecco

- [PyPi](https://pypi.org/project/ecco) (📥 660 / month · 📦 1 · ⏱️ 09.01.2022):

pip install ecco

- [Conda](https://anaconda.org/conda-forge/ecco) (📥 6.8K · ⏱️ 22.04.2025):

conda install -c conda-forge ecco

Explainability 360 (🥉22 · ⭐ 1.7K) - Interpretability and explainability of data and.. Apache-2

- [GitHub](https://github.com/Trusted-AI/AIX360) (👨‍💻 42 · 🔀 310 · 📦 160 · 📋 86 - 62% open · ⏱️ 26.02.2025):

git clone https://github.com/Trusted-AI/AIX360

- [PyPi](https://pypi.org/project/aix360) (📥 910 / month · 📦 1 · ⏱️ 31.07.2023):

pip install aix360

random-forest-importances (🥉22 · ⭐ 610) - Code to compute permutation and drop-column.. MIT

- [GitHub](https://github.com/parrt/random-forest-importances) (👨‍💻 16 · 🔀 130 · 📦 180 · 📋 39 - 20% open · ⏱️ 24.03.2025):

git clone https://github.com/parrt/random-forest-importances

- [PyPi](https://pypi.org/project/rfpimp) (📥 14K / month · 📦 5 · ⏱️ 28.01.2021):

pip install rfpimp

DiCE (🥉20 · ⭐ 1.4K) - Generate Diverse Counterfactual Explanations for any machine.. MIT

- [GitHub](https://github.com/interpretml/DiCE) (👨‍💻 19 · 🔀 200 · 📋 180 - 48% open · ⏱️ 22.11.2024):

git clone https://github.com/interpretml/DiCE

- [PyPi](https://pypi.org/project/dice-ml) (📥 32K / month · 📦 6 · ⏱️ 27.10.2023):

pip install dice-ml

LOFO (🥉20 · ⭐ 840) - Leave One Feature Out Importance. MIT

- [GitHub](https://github.com/aerdem4/lofo-importance) (👨‍💻 6 · 🔀 87 · 📦 40 · 📋 30 - 13% open · ⏱️ 14.02.2025):

git clone https://github.com/aerdem4/lofo-importance

- [PyPi](https://pypi.org/project/lofo-importance) (📥 1.9K / month · 📦 5 · ⏱️ 14.02.2025):

pip install lofo-importance

fairness-indicators (🥉20 · ⭐ 350) - Tensorflows Fairness Evaluation and Visualization.. Apache-2

- [GitHub](https://github.com/tensorflow/fairness-indicators) (👨‍💻 36 · 🔀 85 · 📋 39 - 74% open · ⏱️ 22.01.2025):

git clone https://github.com/tensorflow/fairness-indicators

- [PyPi](https://pypi.org/project/fairness-indicators) (📥 2.2K / month · ⏱️ 22.01.2025):

pip install fairness-indicators

ExplainX.ai (🥉15 · ⭐ 440 · 💤) - Explainable AI framework for data scientists. Explain & debug any.. MIT

- [GitHub](https://github.com/explainX/explainx) (👨‍💻 5 · 🔀 55 · 📥 20 · 📋 39 - 25% open · ⏱️ 21.08.2024):

git clone https://github.com/explainX/explainx

- [PyPi](https://pypi.org/project/explainx) (📥 560 / month · ⏱️ 04.02.2021):

pip install explainx

Show 30 hidden projects...

- Lime (🥇33 · ⭐ 12K · 💀) - Lime: Explaining the predictions of any machine learning classifier. BSD-2 - pyLDAvis (🥈30 · ⭐ 1.8K · 💀) - Python library for interactive topic model visualization... BSD-3 - yellowbrick (🥈28 · ⭐ 4.3K · 💀) - Visual analysis and diagnostic tools to facilitate.. Apache-2 - Deep Checks (🥈28 · ⭐ 3.8K) - Deepchecks: Tests for Continuous Validation of ML Models &.. ❗️AGPL-3.0 - eli5 (🥈28 · ⭐ 2.8K · 💀) - A library for debugging/inspecting machine learning classifiers and.. MIT - scikit-plot (🥈28 · ⭐ 2.4K · 💀) - An intuitive library to add plotting functionality to.. MIT - DALEX (🥈28 · ⭐ 1.4K) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0 - Alibi (🥈26 · ⭐ 2.5K) - Algorithms for explaining machine learning models. ❗️Intel - iNNvestigate (🥈26 · ⭐ 1.3K · 💀) - A toolbox to iNNvestigate neural networks predictions!. BSD-2 - Lucid (🥉25 · ⭐ 4.7K · 💀) - A collection of infrastructure and tools for research in.. Apache-2 - checklist (🥉25 · ⭐ 2K · 💀) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList. MIT - keras-vis (🥉24 · ⭐ 3K · 💀) - Neural network visualization toolkit for keras. MIT - CausalNex (🥉24 · ⭐ 2.3K · 💀) - A Python library that helps data scientists to infer.. Apache-2 - What-If Tool (🥉23 · ⭐ 950 · 💀) - Source code/webpage/demos for the What-If Tool. Apache-2 - TreeInterpreter (🥉23 · ⭐ 760 · 💀) - Package for interpreting scikit-learns decision tree.. BSD-3 - tf-explain (🥉22 · ⭐ 1K · 💀) - Interpretability Methods for tf.keras models with Tensorflow.. MIT - deeplift (🥉21 · ⭐ 860 · 💀) - Public facing deeplift repo. MIT - Quantus (🥉21 · ⭐ 600) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. ❗️GPL-3.0 - tcav (🥉20 · ⭐ 640 · 💀) - Code for the TCAV ML interpretability project. Apache-2 - XAI (🥉19 · ⭐ 1.2K · 💀) - XAI - An eXplainability toolbox for machine learning. MIT - model-card-toolkit (🥉18 · ⭐ 430 · 💀) - A toolkit that streamlines and automates the.. Apache-2 - sklearn-evaluation (🥉17 · ⭐ 460 · 💀) - Machine learning model evaluation made easy: plots,.. MIT - FlashTorch (🥉16 · ⭐ 740 · 💀) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT - Skater (🥉15 · ⭐ 1.1K) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0 - Anchor (🥉15 · ⭐ 800 · 💀) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 - effector (🥉15 · ⭐ 110) - Effector - a Python package for global and regional effect methods. MIT - interpret-text (🥉14 · ⭐ 420 · 💀) - A library that incorporates state-of-the-art explainers.. MIT - bias-detector (🥉13 · ⭐ 43 · 💀) - Bias Detector is a python package for detecting bias in machine.. MIT - Attribution Priors (🥉12 · ⭐ 120 · 💀) - Tools for training explainable models using.. MIT - contextual-ai (🥉12 · ⭐ 87 · 💀) - Contextual AI adds explainability to different stages of.. Apache-2

Vector Similarity Search (ANN)

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

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

Milvus (🥇42 · ⭐ 35K · 📈) - Milvus is a high-performance, cloud-native vector database built.. Apache-2

- [GitHub](https://github.com/milvus-io/milvus) (👨‍💻 310 · 🔀 3.2K · 📥 360K · 📋 14K - 5% open · ⏱️ 22.05.2025):

git clone https://github.com/milvus-io/milvus

- [PyPi](https://pypi.org/project/pymilvus) (📥 1.8M / month · 📦 270 · ⏱️ 19.05.2025):

pip install pymilvus

- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (📥 69M · ⭐ 81 · ⏱️ 22.05.2025):

docker pull milvusdb/milvus

Faiss (🥇41 · ⭐ 35K) - A library for efficient similarity search and clustering of dense vectors. MIT

- [GitHub](https://github.com/facebookresearch/faiss) (👨‍💻 220 · 🔀 3.8K · 📦 4.8K · 📋 2.7K - 9% open · ⏱️ 21.05.2025):

git clone https://github.com/facebookresearch/faiss

- [PyPi](https://pypi.org/project/pymilvus) (📥 1.8M / month · 📦 270 · ⏱️ 19.05.2025):

pip install pymilvus

- [Conda](https://anaconda.org/conda-forge/faiss) (📥 2.6M · ⏱️ 22.04.2025):

conda install -c conda-forge faiss

Annoy (🥈35 · ⭐ 14K · 💤) - Approximate Nearest Neighbors in C++/Python optimized for memory.. Apache-2

- [GitHub](https://github.com/spotify/annoy) (👨‍💻 88 · 🔀 1.2K · 📦 5.1K · 📋 410 - 15% open · ⏱️ 29.07.2024):

git clone https://github.com/spotify/annoy

- [PyPi](https://pypi.org/project/annoy) (📥 700K / month · 📦 200 · ⏱️ 14.06.2023):

pip install annoy

- [Conda](https://anaconda.org/conda-forge/python-annoy) (📥 690K · ⏱️ 22.04.2025):

conda install -c conda-forge python-annoy

hnswlib (🥈32 · ⭐ 4.7K · 💤) - Header-only C++/python library for fast approximate nearest.. Apache-2

- [GitHub](https://github.com/nmslib/hnswlib) (👨‍💻 72 · 🔀 680 · 📦 8.1K · 📋 420 - 60% open · ⏱️ 17.06.2024):

git clone https://github.com/nmslib/hnswlib

- [PyPi](https://pypi.org/project/hnswlib) (📥 470K / month · 📦 130 · ⏱️ 03.12.2023):

pip install hnswlib

- [Conda](https://anaconda.org/conda-forge/hnswlib) (📥 360K · ⏱️ 22.04.2025):

conda install -c conda-forge hnswlib

NMSLIB (🥈31 · ⭐ 3.5K · 💤) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2

- [GitHub](https://github.com/nmslib/nmslib) (👨‍💻 49 · 🔀 460 · 📦 1.4K · 📋 440 - 21% open · ⏱️ 21.09.2024):

git clone https://github.com/nmslib/nmslib

- [PyPi](https://pypi.org/project/nmslib) (📥 390K / month · 📦 63 · ⏱️ 03.02.2021):

pip install nmslib

- [Conda](https://anaconda.org/conda-forge/nmslib) (📥 200K · ⏱️ 22.04.2025):

conda install -c conda-forge nmslib

USearch (🥈31 · ⭐ 2.7K) - Fast Open-Source Search & Clustering engine for Vectors & Strings in.. Apache-2

- [GitHub](https://github.com/unum-cloud/usearch) (👨‍💻 70 · 🔀 180 · 📥 69K · 📦 180 · 📋 210 - 42% open · ⏱️ 16.04.2025):

git clone https://github.com/unum-cloud/usearch

- [PyPi](https://pypi.org/project/usearch) (📥 130K / month · 📦 35 · ⏱️ 16.04.2025):

pip install usearch

- [npm](https://www.npmjs.com/package/usearch) (📥 7.1K / month · 📦 15 · ⏱️ 23.01.2025):

npm install usearch

- [Docker Hub](https://hub.docker.com/r/unum/usearch) (📥 200 · ⭐ 1 · ⏱️ 16.04.2025):

docker pull unum/usearch

PyNNDescent (🥉28 · ⭐ 920) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2

- [GitHub](https://github.com/lmcinnes/pynndescent) (👨‍💻 30 · 🔀 110 · 📦 12K · 📋 140 - 52% open · ⏱️ 10.11.2024):

git clone https://github.com/lmcinnes/pynndescent

- [PyPi](https://pypi.org/project/pynndescent) (📥 1.5M / month · 📦 160 · ⏱️ 17.06.2024):

pip install pynndescent

- [Conda](https://anaconda.org/conda-forge/pynndescent) (📥 2.3M · ⏱️ 22.04.2025):

conda install -c conda-forge pynndescent

NGT (🥉24 · ⭐ 1.3K) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2

- [GitHub](https://github.com/yahoojapan/NGT) (👨‍💻 19 · 🔀 120 · 📋 150 - 16% open · ⏱️ 30.04.2025):

git clone https://github.com/yahoojapan/NGT

- [PyPi](https://pypi.org/project/ngt) (📥 2.2K / month · 📦 12 · ⏱️ 26.02.2025):

pip install ngt

Show 4 hidden projects...

- NearPy (🥉21 · ⭐ 770 · 💀) - Python framework for fast (approximated) nearest neighbour search in.. MIT - N2 (🥉21 · ⭐ 580 · 💀) - TOROS N2 - lightweight approximate Nearest Neighbor library which runs.. Apache-2 - Magnitude (🥉20 · ⭐ 1.6K · 💀) - A fast, efficient universal vector embedding utility package. MIT - PySparNN (🥉11 · ⭐ 920 · 💀) - Approximate Nearest Neighbor Search for Sparse Data in Python!. BSD-3

Probabilistics & Statistics

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

PyMC3 (🥇41 · ⭐ 9K) - Bayesian Modeling and Probabilistic Programming in Python. Apache-2

- [GitHub](https://github.com/pymc-devs/pymc) (👨‍💻 520 · 🔀 2.1K · 📥 2K · 📦 7.2K · 📋 3.5K - 10% open · ⏱️ 21.05.2025):

git clone https://github.com/pymc-devs/pymc

- [PyPi](https://pypi.org/project/pymc3) (📥 270K / month · 📦 190 · ⏱️ 31.05.2024):

pip install pymc3

- [Conda](https://anaconda.org/conda-forge/pymc3) (📥 670K · ⏱️ 22.04.2025):

conda install -c conda-forge pymc3

tensorflow-probability (🥇36 · ⭐ 4.3K) - Probabilistic reasoning and statistical analysis in.. Apache-2

- [GitHub](https://github.com/tensorflow/probability) (👨‍💻 500 · 🔀 1.1K · 📦 4 · 📋 1.5K - 48% open · ⏱️ 14.05.2025):

git clone https://github.com/tensorflow/probability

- [PyPi](https://pypi.org/project/tensorflow-probability) (📥 930K / month · 📦 620 · ⏱️ 08.11.2024):

pip install tensorflow-probability

- [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (📥 180K · ⏱️ 22.04.2025):

conda install -c conda-forge tensorflow-probability

Pyro (🥇34 · ⭐ 8.8K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2

- [GitHub](https://github.com/pyro-ppl/pyro) (👨‍💻 160 · 🔀 990 · 📋 1.1K - 23% open · ⏱️ 24.04.2025):

git clone https://github.com/pyro-ppl/pyro

- [PyPi](https://pypi.org/project/pyro-ppl) (📥 460K / month · 📦 190 · ⏱️ 02.06.2024):

pip install pyro-ppl

- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (📥 240K · ⏱️ 22.04.2025):

conda install -c conda-forge pyro-ppl

pgmpy (🥇34 · ⭐ 2.9K) - Python Library for Causal and Probabilistic Modeling using Bayesian Networks. MIT

- [GitHub](https://github.com/pgmpy/pgmpy) (👨‍💻 150 · 🔀 750 · 📥 610 · 📦 1.6K · 📋 1K - 29% open · ⏱️ 15.05.2025):

git clone https://github.com/pgmpy/pgmpy

- [PyPi](https://pypi.org/project/pgmpy) (📥 180K / month · 📦 72 · ⏱️ 31.03.2025):

pip install pgmpy

GPyTorch (🥈31 · ⭐ 3.7K) - A highly efficient implementation of Gaussian Processes in PyTorch. MIT

- [GitHub](https://github.com/cornellius-gp/gpytorch) (👨‍💻 140 · 🔀 560 · 📦 2.9K · 📋 1.4K - 27% open · ⏱️ 07.02.2025):

git clone https://github.com/cornellius-gp/gpytorch

- [PyPi](https://pypi.org/project/gpytorch) (📥 390K / month · 📦 190 · ⏱️ 29.01.2025):

pip install gpytorch

- [Conda](https://anaconda.org/conda-forge/gpytorch) (📥 210K · ⏱️ 22.04.2025):

conda install -c conda-forge gpytorch

patsy (🥈31 · ⭐ 970) - Describing statistical models in Python using symbolic formulas. BSD-2

- [GitHub](https://github.com/pydata/patsy) (👨‍💻 22 · 🔀 100 · 📦 120K · 📋 160 - 46% open · ⏱️ 24.02.2025):

git clone https://github.com/pydata/patsy

- [PyPi](https://pypi.org/project/patsy) (📥 16M / month · 📦 530 · ⏱️ 12.11.2024):

pip install patsy

- [Conda](https://anaconda.org/conda-forge/patsy) (📥 16M · ⏱️ 22.04.2025):

conda install -c conda-forge patsy

hmmlearn (🥈30 · ⭐ 3.2K · 💤) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3

- [GitHub](https://github.com/hmmlearn/hmmlearn) (👨‍💻 49 · 🔀 740 · 📦 3.5K · 📋 450 - 15% open · ⏱️ 31.10.2024):

git clone https://github.com/hmmlearn/hmmlearn

- [PyPi](https://pypi.org/project/hmmlearn) (📥 150K / month · 📦 92 · ⏱️ 31.10.2024):

pip install hmmlearn

- [Conda](https://anaconda.org/conda-forge/hmmlearn) (📥 380K · ⏱️ 22.04.2025):

conda install -c conda-forge hmmlearn

GPflow (🥈29 · ⭐ 1.9K) - Gaussian processes in TensorFlow. Apache-2

- [GitHub](https://github.com/GPflow/GPflow) (👨‍💻 84 · 🔀 440 · 📦 760 · 📋 840 - 18% open · ⏱️ 22.05.2025):

git clone https://github.com/GPflow/GPflow

- [PyPi](https://pypi.org/project/gpflow) (📥 71K / month · 📦 35 · ⏱️ 17.06.2024):

pip install gpflow

- [Conda](https://anaconda.org/conda-forge/gpflow) (📥 45K · ⏱️ 22.04.2025):

conda install -c conda-forge gpflow

emcee (🥈29 · ⭐ 1.5K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT

- [GitHub](https://github.com/dfm/emcee) (👨‍💻 75 · 🔀 430 · 📦 3K · 📋 300 - 19% open · ⏱️ 16.03.2025):

git clone https://github.com/dfm/emcee

- [PyPi](https://pypi.org/project/emcee) (📥 150K / month · 📦 440 · ⏱️ 19.04.2024):

pip install emcee

- [Conda](https://anaconda.org/conda-forge/emcee) (📥 410K · ⏱️ 22.04.2025):

conda install -c conda-forge emcee

bambi (🥈29 · ⭐ 1.2K) - BAyesian Model-Building Interface (Bambi) in Python. MIT

- [GitHub](https://github.com/bambinos/bambi) (👨‍💻 47 · 🔀 130 · 📦 200 · 📋 440 - 20% open · ⏱️ 21.05.2025):

git clone https://github.com/bambinos/bambi

- [PyPi](https://pypi.org/project/bambi) (📥 34K / month · 📦 14 · ⏱️ 21.12.2024):

pip install bambi

- [Conda](https://anaconda.org/conda-forge/bambi) (📥 49K · ⏱️ 22.04.2025):

conda install -c conda-forge bambi

pomegranate (🥉28 · ⭐ 3.4K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT

- [GitHub](https://github.com/jmschrei/pomegranate) (👨‍💻 75 · 🔀 590 · 📋 790 - 3% open · ⏱️ 07.02.2025):

git clone https://github.com/jmschrei/pomegranate

- [PyPi](https://pypi.org/project/pomegranate) (📥 22K / month · 📦 67 · ⏱️ 07.02.2025):

pip install pomegranate

- [Conda](https://anaconda.org/conda-forge/pomegranate) (📥 210K · ⏱️ 22.04.2025):

conda install -c conda-forge pomegranate

SALib (🥉28 · ⭐ 920) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT

- [GitHub](https://github.com/SALib/SALib) (👨‍💻 51 · 🔀 240 · 📦 1.5K · 📋 340 - 15% open · ⏱️ 18.04.2025):

git clone https://github.com/SALib/SALib

- [PyPi](https://pypi.org/project/salib) (📥 250K / month · 📦 130 · ⏱️ 19.08.2024):

pip install salib

- [Conda](https://anaconda.org/conda-forge/salib) (📥 220K · ⏱️ 22.04.2025):

conda install -c conda-forge salib

PyStan (🥉28 · ⭐ 350 · 💤) - PyStan, a Python interface to Stan, a platform for statistical.. ISC

- [GitHub](https://github.com/stan-dev/pystan) (👨‍💻 14 · 🔀 61 · 📦 10K · 📋 200 - 6% open · ⏱️ 03.07.2024):

git clone https://github.com/stan-dev/pystan

- [PyPi](https://pypi.org/project/pystan) (📥 670K / month · 📦 160 · ⏱️ 03.07.2024):

pip install pystan

- [Conda](https://anaconda.org/conda-forge/pystan) (📥 3M · ⏱️ 22.04.2025):

conda install -c conda-forge pystan

scikit-posthocs (🥉27 · ⭐ 370) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT

- [GitHub](https://github.com/maximtrp/scikit-posthocs) (👨‍💻 16 · 🔀 40 · 📥 66 · 📦 1.1K · 📋 72 - 6% open · ⏱️ 16.04.2025):

git clone https://github.com/maximtrp/scikit-posthocs

- [PyPi](https://pypi.org/project/scikit-posthocs) (📥 94K / month · 📦 73 · ⏱️ 29.03.2025):

pip install scikit-posthocs

- [Conda](https://anaconda.org/conda-forge/scikit-posthocs) (📥 1M · ⏱️ 22.04.2025):

conda install -c conda-forge scikit-posthocs

Orbit (🥉24 · ⭐ 2K · 💤) - A Python package for Bayesian forecasting with object-oriented.. Apache-2

- [GitHub](https://github.com/uber/orbit) (👨‍💻 20 · 🔀 140 · 📦 72 · 📋 400 - 12% open · ⏱️ 10.07.2024):

git clone https://github.com/uber/orbit

- [PyPi](https://pypi.org/project/orbit-ml) (📥 20K / month · 📦 1 · ⏱️ 01.04.2024):

pip install orbit-ml

TorchUncertainty (🥉23 · ⭐ 390) - Open-source framework for uncertainty and deep.. Apache-2

- [GitHub](https://github.com/ENSTA-U2IS-AI/torch-uncertainty) (👨‍💻 13 · 🔀 32 · 📋 55 - 18% open · ⏱️ 21.05.2025):

git clone https://github.com/ENSTA-U2IS-AI/torch-uncertainty

- [PyPi](https://pypi.org/project/torch-uncertainty) (📥 540 / month · 📦 4 · ⏱️ 21.05.2025):

pip install torch-uncertainty

pandas-ta (🥉22 · ⭐ 5.5K) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT

- [GitHub](https://github.com/twopirllc/pandas-ta) (👨‍💻 40 · 🔀 1.1K):

git clone https://github.com/twopirllc/pandas-ta

- [PyPi](https://pypi.org/project/pandas-ta) (📥 200K / month · 📦 140 · ⏱️ 28.07.2021):

pip install pandas-ta

- [Conda](https://anaconda.org/conda-forge/pandas-ta) (📥 27K · ⏱️ 22.04.2025):

conda install -c conda-forge pandas-ta

Baal (🥉22 · ⭐ 900 · 💤) - Bayesian active learning library for research and industrial usecases. Apache-2

- [GitHub](https://github.com/baal-org/baal) (👨‍💻 23 · 🔀 87 · 📦 66 · 📋 110 - 17% open · ⏱️ 27.06.2024):

git clone https://github.com/baal-org/baal

- [PyPi](https://pypi.org/project/baal) (📥 1.2K / month · 📦 2 · ⏱️ 11.06.2024):

pip install baal

- [Conda](https://anaconda.org/conda-forge/baal) (📥 13K · ⏱️ 22.04.2025):

conda install -c conda-forge baal

pyhsmm (🥉21 · ⭐ 560) - Bayesian inference in HSMMs and HMMs. MIT

- [GitHub](https://github.com/mattjj/pyhsmm) (👨‍💻 14 · 🔀 170 · 📦 35 · 📋 100 - 39% open · ⏱️ 25.01.2025):

git clone https://github.com/mattjj/pyhsmm

- [PyPi](https://pypi.org/project/pyhsmm) (📥 160 / month · 📦 1 · ⏱️ 10.05.2017):

pip install pyhsmm

Show 5 hidden projects...

- filterpy (🥈32 · ⭐ 3.6K · 💀) - Python Kalman filtering and optimal estimation library. Implements.. MIT - pingouin (🥈30 · ⭐ 1.8K) - Statistical package in Python based on Pandas. ❗️GPL-3.0 - Edward (🥉27 · ⭐ 4.8K · 💀) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 - Funsor (🥉20 · ⭐ 240 · 💀) - Functional tensors for probabilistic programming. Apache-2 - ZhuSuan (🥉15 · ⭐ 2.2K · 💀) - A probabilistic programming library for Bayesian deep learning,.. MIT

Adversarial Robustness

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

ART (🥇33 · ⭐ 5.3K · 📈) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT

- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (👨‍💻 140 · 🔀 1.2K · 📦 740 · 📋 910 - 2% open · ⏱️ 22.05.2025):

git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox

- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (📥 28K / month · 📦 20 · ⏱️ 22.01.2025):

pip install adversarial-robustness-toolbox

- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (📥 72K · ⏱️ 22.04.2025):

conda install -c conda-forge adversarial-robustness-toolbox

TextAttack (🥈28 · ⭐ 3.2K · 💤) - TextAttack is a Python framework for adversarial attacks, data.. MIT

- [GitHub](https://github.com/QData/TextAttack) (👨‍💻 66 · 🔀 400 · 📦 410 · 📋 290 - 23% open · ⏱️ 25.07.2024):

git clone https://github.com/QData/TextAttack

- [PyPi](https://pypi.org/project/textattack) (📥 6.6K / month · 📦 11 · ⏱️ 11.03.2024):

pip install textattack

- [Conda](https://anaconda.org/conda-forge/textattack) (📥 10K · ⏱️ 22.04.2025):

conda install -c conda-forge textattack

Show 7 hidden projects...

- CleverHans (🥈30 · ⭐ 6.3K · 💀) - An adversarial example library for constructing attacks,.. MIT - Foolbox (🥈28 · ⭐ 2.9K · 💀) - A Python toolbox to create adversarial examples that fool neural.. MIT - advertorch (🥉24 · ⭐ 1.3K · 💀) - A Toolbox for Adversarial Robustness Research. ❗️GPL-3.0 - robustness (🥉20 · ⭐ 940 · 💀) - A library for experimenting with, training and evaluating neural.. MIT - AdvBox (🥉19 · ⭐ 1.4K · 💀) - Advbox is a toolbox to generate adversarial examples that fool.. Apache-2 - textflint (🥉17 · ⭐ 640 · 💀) - Unified Multilingual Robustness Evaluation Toolkit for.. ❗️GPL-3.0 - Adversary (🥉16 · ⭐ 400 · 💀) - Tool to generate adversarial text examples and test machine.. MIT

GPU & Accelerator Utilities

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

cuDF (🥇35 · ⭐ 8.9K) - cuDF - GPU DataFrame Library. Apache-2

- [GitHub](https://github.com/rapidsai/cudf) (👨‍💻 310 · 🔀 940 · 📦 62 · 📋 7K - 15% open · ⏱️ 21.05.2025):

git clone https://github.com/rapidsai/cudf

- [PyPi](https://pypi.org/project/cudf) (📥 3.3K / month · 📦 22 · ⏱️ 01.06.2020):

pip install cudf

optimum (🥇35 · ⭐ 2.9K) - Accelerate inference and training of Transformers, Diffusers, TIMM.. Apache-2

- [GitHub](https://github.com/huggingface/optimum) (👨‍💻 150 · 🔀 540 · 📦 5.6K · 📋 890 - 40% open · ⏱️ 20.05.2025):

git clone https://github.com/huggingface/optimum

- [PyPi](https://pypi.org/project/optimum) (📥 1.3M / month · 📦 240 · ⏱️ 16.05.2025):

pip install optimum

- [Conda](https://anaconda.org/conda-forge/optimum) (📥 39K · ⏱️ 22.04.2025):

conda install -c conda-forge optimum

Apex (🥈32 · ⭐ 8.7K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3

- [GitHub](https://github.com/NVIDIA/apex) (👨‍💻 130 · 🔀 1.4K · 📦 3.2K · 📋 1.3K - 58% open · ⏱️ 15.05.2025):

git clone https://github.com/NVIDIA/apex

- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (📥 500K · ⏱️ 22.04.2025):

conda install -c conda-forge nvidia-apex

cuML (🥈32 · ⭐ 4.7K) - cuML - RAPIDS Machine Learning Library. Apache-2

- [GitHub](https://github.com/rapidsai/cuml) (👨‍💻 180 · 🔀 570 · 📋 2.8K - 35% open · ⏱️ 22.05.2025):

git clone https://github.com/rapidsai/cuml

- [PyPi](https://pypi.org/project/cuml) (📥 4.6K / month · 📦 14 · ⏱️ 01.06.2020):

pip install cuml

PyCUDA (🥈32 · ⭐ 1.9K) - CUDA integration for Python, plus shiny features. MIT

- [GitHub](https://github.com/inducer/pycuda) (👨‍💻 82 · 🔀 290 · 📦 3.8K · 📋 280 - 30% open · ⏱️ 06.05.2025):

git clone https://github.com/inducer/pycuda

- [PyPi](https://pypi.org/project/pycuda) (📥 120K / month · 📦 170 · ⏱️ 07.02.2025):

pip install pycuda

- [Conda](https://anaconda.org/conda-forge/pycuda) (📥 980K · ⏱️ 22.04.2025):

conda install -c conda-forge pycuda

gpustat (🥈29 · ⭐ 4.2K) - A simple command-line utility for querying and monitoring GPU status. MIT

- [GitHub](https://github.com/wookayin/gpustat) (👨‍💻 17 · 🔀 280 · 📦 7.4K · 📋 130 - 22% open · ⏱️ 13.04.2025):

git clone https://github.com/wookayin/gpustat

- [PyPi](https://pypi.org/project/gpustat) (📥 740K / month · 📦 150 · ⏱️ 22.08.2023):

pip install gpustat

- [Conda](https://anaconda.org/conda-forge/gpustat) (📥 310K · ⏱️ 22.04.2025):

conda install -c conda-forge gpustat

ArrayFire (🥈28 · ⭐ 4.7K) - ArrayFire: a general purpose GPU library. BSD-3

- [GitHub](https://github.com/arrayfire/arrayfire) (👨‍💻 97 · 🔀 540 · 📥 8.4K · 📋 1.8K - 19% open · ⏱️ 04.04.2025):

git clone https://github.com/arrayfire/arrayfire

- [PyPi](https://pypi.org/project/arrayfire) (📥 3.7K / month · 📦 10 · ⏱️ 22.02.2022):

pip install arrayfire

cuGraph (🥈28 · ⭐ 2K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2

- [GitHub](https://github.com/rapidsai/cugraph) (👨‍💻 120 · 🔀 330 · 📋 1.8K - 9% open · ⏱️ 21.05.2025):

git clone https://github.com/rapidsai/cugraph

- [PyPi](https://pypi.org/project/cugraph) (📥 370 / month · 📦 4 · ⏱️ 01.06.2020):

pip install cugraph

- [Conda](https://anaconda.org/conda-forge/libcugraph) (📥 65K · ⏱️ 22.04.2025):

conda install -c conda-forge libcugraph

CuPy (🥉27 · ⭐ 10K) - NumPy & SciPy for GPU. MIT

- [GitHub](https://github.com/cupy/cupy) (👨‍💻 340 · 🔀 900):

git clone https://github.com/cupy/cupy

- [PyPi](https://pypi.org/project/cupy) (📥 26K / month · 📦 350 · ⏱️ 04.04.2025):

pip install cupy

- [Conda](https://anaconda.org/conda-forge/cupy) (📥 6.4M · ⏱️ 22.04.2025):

conda install -c conda-forge cupy

- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (📥 83K · ⭐ 13 · ⏱️ 04.04.2025):

docker pull cupy/cupy

DALI (🥉25 · ⭐ 5.4K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2

- [GitHub](https://github.com/NVIDIA/DALI) (👨‍💻 99 · 🔀 640 · 📋 1.7K - 14% open · ⏱️ 21.05.2025):

git clone https://github.com/NVIDIA/DALI

Vulkan Kompute (🥉23 · ⭐ 2.2K) - General purpose GPU compute framework built on Vulkan to.. Apache-2

- [GitHub](https://github.com/KomputeProject/kompute) (👨‍💻 32 · 🔀 160 · 📥 640 · 📋 230 - 32% open · ⏱️ 19.03.2025):

git clone https://github.com/KomputeProject/kompute

- [PyPi](https://pypi.org/project/kp) (📥 280 / month · ⏱️ 20.01.2024):

pip install kp

Merlin (🥉20 · ⭐ 830 · 💤) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2

- [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (👨‍💻 32 · 🔀 120 · 📋 460 - 46% open · ⏱️ 22.07.2024):

git clone https://github.com/NVIDIA-Merlin/Merlin

- [PyPi](https://pypi.org/project/merlin-core) (📥 18K / month · 📦 1 · ⏱️ 29.08.2023):

pip install merlin-core

Show 8 hidden projects...

- GPUtil (🥉25 · ⭐ 1.2K · 💀) - A Python module for getting the GPU status from NVIDA GPUs using.. MIT - scikit-cuda (🥉24 · ⭐ 990 · 💀) - Python interface to GPU-powered libraries. BSD-3 - py3nvml (🥉23 · ⭐ 250 · 💀) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside.. BSD-3 - BlazingSQL (🥉21 · ⭐ 2K · 💀) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. Apache-2 - nvidia-ml-py3 (🥉19 · ⭐ 140 · 💤) - Python 3 Bindings for the NVIDIA Management Library. BSD-3 - cuSignal (🥉16 · ⭐ 720 · 💀) - GPU accelerated signal processing. Apache-2 - ipyexperiments (🥉16 · ⭐ 220 · 💀) - Automatic GPU+CPU memory profiling, re-use and memory.. Apache-2 - SpeedTorch (🥉15 · ⭐ 680 · 💀) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT

Tensorflow Utilities

Libraries that extend TensorFlow with additional capabilities.

TensorFlow Datasets (🥇38 · ⭐ 4.4K) - TFDS is a collection of datasets ready to use with.. Apache-2

- [GitHub](https://github.com/tensorflow/datasets) (👨‍💻 520 · 🔀 1.6K · 📦 24K · 📋 1.5K - 47% open · ⏱️ 21.05.2025):

git clone https://github.com/tensorflow/datasets

- [PyPi](https://pypi.org/project/tensorflow-datasets) (📥 1.3M / month · 📦 340 · ⏱️ 12.03.2025):

pip install tensorflow-datasets

- [Conda](https://anaconda.org/conda-forge/tensorflow-datasets) (📥 46K · ⏱️ 22.04.2025):

conda install -c conda-forge tensorflow-datasets

tensorflow-hub (🥇33 · ⭐ 3.5K) - A library for transfer learning by reusing parts of.. Apache-2

- [GitHub](https://github.com/tensorflow/hub) (👨‍💻 110 · 🔀 1.7K · 📋 710 - 2% open · ⏱️ 17.01.2025):

git clone https://github.com/tensorflow/hub

- [PyPi](https://pypi.org/project/tensorflow-hub) (📥 1.7M / month · 📦 300 · ⏱️ 30.01.2024):

pip install tensorflow-hub

- [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (📥 120K · ⏱️ 22.04.2025):

conda install -c conda-forge tensorflow-hub

TFX (🥈32 · ⭐ 2.1K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2

- [GitHub](https://github.com/tensorflow/tfx) (👨‍💻 190 · 🔀 710 · 📦 1.8K · 📋 1.1K - 22% open · ⏱️ 26.03.2025):

git clone https://github.com/tensorflow/tfx

- [PyPi](https://pypi.org/project/tfx) (📥 34K / month · 📦 17 · ⏱️ 11.12.2024):

pip install tfx

TensorFlow I/O (🥈30 · ⭐ 720) - Dataset, streaming, and file system extensions.. Apache-2

- [GitHub](https://github.com/tensorflow/io) (👨‍💻 120 · 🔀 290 · 📋 660 - 44% open · ⏱️ 10.04.2025):

git clone https://github.com/tensorflow/io

- [PyPi](https://pypi.org/project/tensorflow-io) (📥 710K / month · 📦 61 · ⏱️ 01.07.2024):

pip install tensorflow-io

TF Model Optimization (🥉28 · ⭐ 1.5K) - A toolkit to optimize ML models for deployment for.. Apache-2

- [GitHub](https://github.com/tensorflow/model-optimization) (👨‍💻 87 · 🔀 320 · 📋 400 - 57% open · ⏱️ 10.02.2025):

git clone https://github.com/tensorflow/model-optimization

- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (📥 1.5M / month · 📦 45 · ⏱️ 08.02.2024):

pip install tensorflow-model-optimization

TensorFlow Transform (🥉25 · ⭐ 990) - Input pipeline framework. Apache-2

- [GitHub](https://github.com/tensorflow/transform) (👨‍💻 29 · 🔀 220 · 📋 220 - 17% open · ⏱️ 30.04.2025):

git clone https://github.com/tensorflow/transform

- [PyPi](https://pypi.org/project/tensorflow-transform) (📥 210K / month · 📦 18 · ⏱️ 28.10.2024):

pip install tensorflow-transform

Neural Structured Learning (🥉24 · ⭐ 1K) - Training neural models with structured signals. Apache-2

- [GitHub](https://github.com/tensorflow/neural-structured-learning) (👨‍💻 39 · 🔀 190 · 📦 510 · 📋 69 - 1% open · ⏱️ 29.01.2025):

git clone https://github.com/tensorflow/neural-structured-learning

- [PyPi](https://pypi.org/project/neural-structured-learning) (📥 5.3K / month · 📦 3 · ⏱️ 29.07.2022):

pip install neural-structured-learning

TensorFlow Cloud (🥉21 · ⭐ 380) - The TensorFlow Cloud repository provides APIs that.. Apache-2

- [GitHub](https://github.com/tensorflow/cloud) (👨‍💻 28 · 🔀 90 · 📋 100 - 73% open · ⏱️ 29.01.2025):

git clone https://github.com/tensorflow/cloud

- [PyPi](https://pypi.org/project/tensorflow-cloud) (📥 30K / month · 📦 7 · ⏱️ 17.06.2021):

pip install tensorflow-cloud

TF Compression (🥉20 · ⭐ 890) - Data compression in TensorFlow. Apache-2

- [GitHub](https://github.com/tensorflow/compression) (👨‍💻 24 · 🔀 250 · 📋 100 - 10% open · ⏱️ 29.04.2025):

git clone https://github.com/tensorflow/compression

- [PyPi](https://pypi.org/project/tensorflow-compression) (📥 2.8K / month · 📦 2 · ⏱️ 02.02.2024):

pip install tensorflow-compression

Show 7 hidden projects...

- tensor2tensor (🥈32 · ⭐ 16K · 💀) - Library of deep learning models and datasets designed.. Apache-2 - TF Addons (🥈32 · ⭐ 1.7K · 💀) - Useful extra functionality for TensorFlow 2.x maintained.. Apache-2 - Keras-Preprocessing (🥈29 · ⭐ 1K · 💀) - Utilities for working with image data, text data, and.. MIT - efficientnet (🥉27 · ⭐ 2.1K · 💀) - Implementation of EfficientNet model. Keras and.. Apache-2 - Saliency (🥉22 · ⭐ 970 · 💀) - Framework-agnostic implementation for state-of-the-art.. Apache-2 - TensorNets (🥉20 · ⭐ 1K · 💀) - High level network definitions with pre-trained weights in.. MIT - tffm (🥉18 · ⭐ 780 · 💀) - TensorFlow implementation of an arbitrary order Factorization Machine. MIT

Jax Utilities

Libraries that extend Jax with additional capabilities.

equinox (🥇32 · ⭐ 2.4K) - Elegant easy-to-use neural networks + scientific computing in.. Apache-2

- [GitHub](https://github.com/patrick-kidger/equinox) (👨‍💻 68 · 🔀 160 · 📦 1.2K · 📋 560 - 34% open · ⏱️ 16.05.2025):

git clone https://github.com/patrick-kidger/equinox

- [PyPi](https://pypi.org/project/equinox) (📥 300K / month · 📦 250 · ⏱️ 14.05.2025):

pip install equinox

evojax (🥉20 · ⭐ 900 · 💤) - EvoJAX: Hardware-accelerated Neuroevolution. Apache-2

- [GitHub](https://github.com/google/evojax) (👨‍💻 14 · 🔀 100 · 📦 31 · 📋 37 - 54% open · ⏱️ 27.06.2024):

git clone https://github.com/google/evojax

- [PyPi](https://pypi.org/project/evojax) (📥 930 / month · 📦 6 · ⏱️ 18.06.2024):

pip install evojax

- [Conda](https://anaconda.org/conda-forge/evojax) (📥 39K · ⏱️ 22.04.2025):

conda install -c conda-forge evojax

Show 1 hidden projects...

- jaxdf (🥉12 · ⭐ 130 · 💤) - A JAX-based research framework for writing differentiable.. ❗️LGPL-3.0

Sklearn Utilities

Libraries that extend scikit-learn with additional capabilities.

MLxtend (🥇35 · ⭐ 5K) - A library of extension and helper modules for Pythons data analysis.. BSD-3

- [GitHub](https://github.com/rasbt/mlxtend) (👨‍💻 110 · 🔀 880 · 📦 20K · 📋 500 - 29% open · ⏱️ 26.01.2025):

git clone https://github.com/rasbt/mlxtend

- [PyPi](https://pypi.org/project/mlxtend) (📥 740K / month · 📦 200 · ⏱️ 26.01.2025):

pip install mlxtend

- [Conda](https://anaconda.org/conda-forge/mlxtend) (📥 360K · ⏱️ 22.04.2025):

conda install -c conda-forge mlxtend

scikit-learn-intelex (🥇35 · ⭐ 1.3K) - Extension for Scikit-learn is a seamless way to speed.. Apache-2

- [GitHub](https://github.com/uxlfoundation/scikit-learn-intelex) (👨‍💻 85 · 🔀 180 · 📦 14K · 📋 250 - 19% open · ⏱️ 21.05.2025):

git clone https://github.com/intel/scikit-learn-intelex

- [PyPi](https://pypi.org/project/scikit-learn-intelex) (📥 97K / month · 📦 65 · ⏱️ 22.04.2025):

pip install scikit-learn-intelex

- [Conda](https://anaconda.org/conda-forge/scikit-learn-intelex) (📥 540K · ⏱️ 05.05.2025):

conda install -c conda-forge scikit-learn-intelex

imbalanced-learn (🥈33 · ⭐ 7K) - A Python Package to Tackle the Curse of Imbalanced.. MIT

- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (👨‍💻 87 · 🔀 1.3K · 📋 620 - 7% open · ⏱️ 11.05.2025):

git clone https://github.com/scikit-learn-contrib/imbalanced-learn

- [PyPi](https://pypi.org/project/imbalanced-learn) (📥 15M / month · 📦 480 · ⏱️ 20.12.2024):

pip install imbalanced-learn

- [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (📥 700K · ⏱️ 22.04.2025):

conda install -c conda-forge imbalanced-learn

category_encoders (🥈33 · ⭐ 2.4K) - A library of sklearn compatible categorical variable.. BSD-3

- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (👨‍💻 71 · 🔀 400 · 📦 3.8K · 📋 300 - 14% open · ⏱️ 24.03.2025):

git clone https://github.com/scikit-learn-contrib/category_encoders

- [PyPi](https://pypi.org/project/category_encoders) (📥 1.8M / month · 📦 310 · ⏱️ 15.03.2025):

pip install category_encoders

- [Conda](https://anaconda.org/conda-forge/category_encoders) (📥 320K · ⏱️ 22.04.2025):

conda install -c conda-forge category_encoders

scikit-lego (🥈27 · ⭐ 1.3K) - Extra blocks for scikit-learn pipelines. MIT

- [GitHub](https://github.com/koaning/scikit-lego) (👨‍💻 68 · 🔀 120 · 📦 180 · 📋 340 - 10% open · ⏱️ 30.04.2025):

git clone https://github.com/koaning/scikit-lego

- [PyPi](https://pypi.org/project/scikit-lego) (📥 30K / month · 📦 13 · ⏱️ 30.04.2025):

pip install scikit-lego

- [Conda](https://anaconda.org/conda-forge/scikit-lego) (📥 68K · ⏱️ 22.04.2025):

conda install -c conda-forge scikit-lego

scikit-opt (🥉25 · ⭐ 5.5K · 💤) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT

- [GitHub](https://github.com/guofei9987/scikit-opt) (👨‍💻 24 · 🔀 990 · 📦 270 · 📋 180 - 37% open · ⏱️ 23.06.2024):

git clone https://github.com/guofei9987/scikit-opt

- [PyPi](https://pypi.org/project/scikit-opt) (📥 6.5K / month · 📦 15 · ⏱️ 14.01.2022):

pip install scikit-opt

iterative-stratification (🥉21 · ⭐ 860 · 💤) - scikit-learn cross validators for iterative.. BSD-3

- [GitHub](https://github.com/trent-b/iterative-stratification) (👨‍💻 7 · 🔀 75 · 📦 590 · 📋 27 - 7% open · ⏱️ 12.10.2024):

git clone https://github.com/trent-b/iterative-stratification

- [PyPi](https://pypi.org/project/iterative-stratification) (📥 54K / month · 📦 15 · ⏱️ 12.10.2024):

pip install iterative-stratification

dabl (🥉19 · ⭐ 730 · 💤) - Data Analysis Baseline Library. BSD-3

- [GitHub](https://github.com/amueller/dabl) (👨‍💻 24 · 🔀 100 · ⏱️ 07.08.2024):

git clone https://github.com/amueller/dabl

- [PyPi](https://pypi.org/project/dabl) (📥 4.1K / month · 📦 3 · ⏱️ 16.12.2024):

pip install dabl

scikit-tda (🥉18 · ⭐ 550 · 💤) - Topological Data Analysis for Python. MIT

- [GitHub](https://github.com/scikit-tda/scikit-tda) (👨‍💻 6 · 🔀 54 · 📦 87 · 📋 22 - 18% open · ⏱️ 19.07.2024):

git clone https://github.com/scikit-tda/scikit-tda

- [PyPi](https://pypi.org/project/scikit-tda) (📥 1.5K / month · ⏱️ 19.07.2024):

pip install scikit-tda

Show 10 hidden projects...

- scikit-survival (🥈32 · ⭐ 1.2K) - Survival analysis built on top of scikit-learn. ❗️GPL-3.0 - fancyimpute (🥈27 · ⭐ 1.3K · 💀) - Multivariate imputation and matrix completion.. Apache-2 - scikit-multilearn (🥈27 · ⭐ 930 · 💀) - A scikit-learn based module for multi-label et. al... BSD-2 - sklearn-crfsuite (🥈27 · ⭐ 430 · 💀) - scikit-learn inspired API for CRFsuite. MIT - sklearn-contrib-lightning (🥉24 · ⭐ 1.7K · 💀) - Large-scale linear classification, regression and.. BSD-3 - skope-rules (🥉22 · ⭐ 640 · 💀) - machine learning with logical rules in Python. ❗️BSD-1-Clause - celer (🥉22 · ⭐ 230) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,.. BSD-3 - combo (🥉21 · ⭐ 660 · 💀) - (AAAI 20) A Python Toolbox for Machine Learning Model.. BSD-2 xgboost - DESlib (🥉18 · ⭐ 490 · 💀) - A Python library for dynamic classifier and ensemble selection. BSD-3 - skggm (🥉17 · ⭐ 250 · 💀) - Scikit-learn compatible estimation of general graphical models. MIT

Pytorch Utilities

Libraries that extend Pytorch with additional capabilities.

accelerate (🥇43 · ⭐ 8.7K) - A simple way to launch, train, and use PyTorch models on.. Apache-2

- [GitHub](https://github.com/huggingface/accelerate) (👨‍💻 350 · 🔀 1.1K · 📦 95K · 📋 1.8K - 5% open · ⏱️ 22.05.2025):

git clone https://github.com/huggingface/accelerate

- [PyPi](https://pypi.org/project/accelerate) (📥 12M / month · 📦 2.2K · ⏱️ 15.05.2025):

pip install accelerate

- [Conda](https://anaconda.org/conda-forge/accelerate) (📥 400K · ⏱️ 15.05.2025):

conda install -c conda-forge accelerate

tinygrad (🥇35 · ⭐ 29K) - You like pytorch? You like micrograd? You love tinygrad!. MIT

- [GitHub](https://github.com/tinygrad/tinygrad) (👨‍💻 400 · 🔀 3.3K · 📦 220 · 📋 920 - 14% open · ⏱️ 22.05.2025):

git clone https://github.com/geohot/tinygrad

PML (🥇33 · ⭐ 6.1K) - The easiest way to use deep metric learning in your application. Modular,.. MIT

- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (👨‍💻 46 · 🔀 660 · 📦 2.7K · 📋 530 - 14% open · ⏱️ 11.12.2024):

git clone https://github.com/KevinMusgrave/pytorch-metric-learning

- [PyPi](https://pypi.org/project/pytorch-metric-learning) (📥 820K / month · 📦 55 · ⏱️ 11.12.2024):

pip install pytorch-metric-learning

- [Conda](https://anaconda.org/metric-learning/pytorch-metric-learning) (📥 13K · ⏱️ 25.03.2025):

conda install -c metric-learning pytorch-metric-learning

torchdiffeq (🥇32 · ⭐ 6K) - Differentiable ODE solvers with full GPU support and O(1)-memory.. MIT

- [GitHub](https://github.com/rtqichen/torchdiffeq) (👨‍💻 22 · 🔀 930 · 📦 5.2K · 📋 220 - 33% open · ⏱️ 04.04.2025):

git clone https://github.com/rtqichen/torchdiffeq

- [PyPi](https://pypi.org/project/torchdiffeq) (📥 1.2M / month · 📦 120 · ⏱️ 21.11.2024):

pip install torchdiffeq

- [Conda](https://anaconda.org/conda-forge/torchdiffeq) (📥 22K · ⏱️ 22.04.2025):

conda install -c conda-forge torchdiffeq

torchsde (🥈30 · ⭐ 1.6K) - Differentiable SDE solvers with GPU support and efficient.. Apache-2

- [GitHub](https://github.com/google-research/torchsde) (👨‍💻 9 · 🔀 200 · 📦 5.2K · 📋 82 - 35% open · ⏱️ 30.12.2024):

git clone https://github.com/google-research/torchsde

- [PyPi](https://pypi.org/project/torchsde) (📥 2.7M / month · 📦 37 · ⏱️ 26.09.2023):

pip install torchsde

- [Conda](https://anaconda.org/conda-forge/torchsde) (📥 39K · ⏱️ 22.04.2025):

conda install -c conda-forge torchsde

torch-scatter (🥈27 · ⭐ 1.6K) - PyTorch Extension Library of Optimized Scatter Operations. MIT

- [GitHub](https://github.com/rusty1s/pytorch_scatter) (👨‍💻 33 · 🔀 190 · 📋 410 - 6% open · ⏱️ 20.04.2025):

git clone https://github.com/rusty1s/pytorch_scatter

- [PyPi](https://pypi.org/project/torch-scatter) (📥 52K / month · 📦 150 · ⏱️ 06.10.2023):

pip install torch-scatter

- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (📥 850K · ⏱️ 22.04.2025):

conda install -c conda-forge pytorch_scatter

EfficientNets (🥈25 · ⭐ 1.6K · 💤) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2

- [GitHub](https://github.com/rwightman/gen-efficientnet-pytorch) (👨‍💻 5 · 🔀 210 · 📦 300 · 📋 55 - 7% open · ⏱️ 13.06.2024):

git clone https://github.com/rwightman/gen-efficientnet-pytorch

- [PyPi](https://pypi.org/project/geffnet) (📥 190K / month · 📦 4 · ⏱️ 08.07.2021):

pip install geffnet

PyTorch Sparse (🥈25 · ⭐ 1.1K) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT

- [GitHub](https://github.com/rusty1s/pytorch_sparse) (👨‍💻 47 · 🔀 150 · 📋 290 - 10% open · ⏱️ 10.04.2025):

git clone https://github.com/rusty1s/pytorch_sparse

- [PyPi](https://pypi.org/project/torch-sparse) (📥 35K / month · 📦 120 · ⏱️ 06.10.2023):

pip install torch-sparse

- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (📥 800K · ⏱️ 22.04.2025):

conda install -c conda-forge pytorch_sparse

Pytorch Toolbelt (🥉24 · ⭐ 1.5K) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT

- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (👨‍💻 8 · 🔀 120 · 📥 160 · 📋 33 - 12% open · ⏱️ 01.03.2025):

git clone https://github.com/BloodAxe/pytorch-toolbelt

- [PyPi](https://pypi.org/project/pytorch_toolbelt) (📥 14K / month · 📦 12 · ⏱️ 21.11.2024):

pip install pytorch_toolbelt

madgrad (🥉17 · ⭐ 800) - MADGRAD Optimization Method. MIT

- [GitHub](https://github.com/facebookresearch/madgrad) (👨‍💻 3 · 🔀 57 · 📦 100 · ⏱️ 27.01.2025):

git clone https://github.com/facebookresearch/madgrad

- [PyPi](https://pypi.org/project/madgrad) (📥 3K / month · 📦 1 · ⏱️ 08.03.2022):

pip install madgrad

pytorchviz (🥉14 · ⭐ 3.4K) - A small package to create visualizations of PyTorch execution graphs. MIT

- [GitHub](https://github.com/szagoruyko/pytorchviz) (👨‍💻 6 · 🔀 280 · 📋 72 - 47% open · ⏱️ 30.12.2024):

git clone https://github.com/szagoruyko/pytorchviz

Show 21 hidden projects...

- pretrainedmodels (🥈30 · ⭐ 9.1K · 💀) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 - EfficientNet-PyTorch (🥈28 · ⭐ 8.1K · 💀) - A PyTorch implementation of EfficientNet. Apache-2 - lightning-flash (🥈28 · ⭐ 1.7K · 💀) - Your PyTorch AI Factory - Flash enables you to easily.. Apache-2 - pytorch-optimizer (🥈27 · ⭐ 3.1K · 💀) - torch-optimizer -- collection of optimizers for.. Apache-2 - TabNet (🥈26 · ⭐ 2.8K · 💀) - PyTorch implementation of TabNet paper :.. MIT - pytorch-summary (🥉24 · ⭐ 4K · 💀) - Model summary in PyTorch similar to `model.summary()` in.. MIT - Torchmeta (🥉24 · ⭐ 2K · 💀) - A collection of extensions and data-loaders for few-shot.. MIT - Higher (🥉24 · ⭐ 1.6K · 💀) - higher is a pytorch library allowing users to obtain higher.. Apache-2 - micrograd (🥉22 · ⭐ 12K · 💀) - A tiny scalar-valued autograd engine and a neural net library.. MIT - SRU (🥉22 · ⭐ 2.1K · 💀) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). MIT - Antialiased CNNs (🥉22 · ⭐ 1.7K · 💀) - pip install antialiased-cnns to improve stability and.. ❗️CC BY-NC-SA 4.0 - AdaBound (🥉21 · ⭐ 2.9K · 💀) - An optimizer that trains as fast as Adam and as good as SGD. Apache-2 - reformer-pytorch (🥉21 · ⭐ 2.2K · 💀) - Reformer, the efficient Transformer, in Pytorch. MIT - Performer Pytorch (🥉21 · ⭐ 1.1K · 💀) - An implementation of Performer, a linear attention-.. MIT - Poutyne (🥉21 · ⭐ 570) - A simplified framework and utilities for PyTorch. ❗️LGPL-3.0 - Lambda Networks (🥉19 · ⭐ 1.5K · 💀) - Implementation of LambdaNetworks, a new approach to.. MIT - Torch-Struct (🥉19 · ⭐ 1.1K · 💀) - Fast, general, and tested differentiable structured.. MIT - Tensor Sensor (🥉18 · ⭐ 810 · 💀) - The goal of this library is to generate more helpful.. MIT - Tez (🥉17 · ⭐ 1.2K · 💀) - Tez is a super-simple and lightweight Trainer for PyTorch. It.. Apache-2 - Pywick (🥉17 · ⭐ 400 · 💀) - High-level batteries-included neural network training library for.. MIT - TorchDrift (🥉15 · ⭐ 320 · 💀) - Drift Detection for your PyTorch Models. Apache-2

Database Clients

Libraries for connecting to, operating, and querying databases.

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

Others

scipy (🥇50 · ⭐ 14K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3

- [GitHub](https://github.com/scipy/scipy) (👨‍💻 1.8K · 🔀 5.4K · 📥 490K · 📦 1.4M · 📋 11K - 15% open · ⏱️ 21.05.2025):

git clone https://github.com/scipy/scipy

- [PyPi](https://pypi.org/project/scipy) (📥 150M / month · 📦 55K · ⏱️ 21.05.2025):

pip install scipy

- [Conda](https://anaconda.org/conda-forge/scipy) (📥 63M · ⏱️ 22.04.2025):

conda install -c conda-forge scipy

SymPy (🥇50 · ⭐ 14K) - A computer algebra system written in pure Python. BSD-3

- [GitHub](https://github.com/sympy/sympy) (👨‍💻 1.4K · 🔀 4.7K · 📥 560K · 📦 270K · 📋 14K - 36% open · ⏱️ 21.05.2025):

git clone https://github.com/sympy/sympy

- [PyPi](https://pypi.org/project/sympy) (📥 56M / month · 📦 4.3K · ⏱️ 27.04.2025):

pip install sympy

- [Conda](https://anaconda.org/conda-forge/sympy) (📥 8.9M · ⏱️ 29.04.2025):

conda install -c conda-forge sympy

Streamlit (🥇46 · ⭐ 39K) - Streamlit A faster way to build and share data apps. Apache-2

- [GitHub](https://github.com/streamlit/streamlit) (👨‍💻 410 · 🔀 3.5K · 📦 940K · 📋 5.3K - 22% open · ⏱️ 21.05.2025):

git clone https://github.com/streamlit/streamlit

- [PyPi](https://pypi.org/project/streamlit) (📥 12M / month · 📦 3.8K · ⏱️ 12.05.2025):

pip install streamlit

Gradio (🥇45 · ⭐ 38K · 📈) - Wrap UIs around any model, share with anyone. Apache-2

- [GitHub](https://github.com/gradio-app/gradio) (👨‍💻 590 · 🔀 2.9K · 📦 76K · 📋 5.7K - 8% open · ⏱️ 22.05.2025):

git clone https://github.com/gradio-app/gradio

- [PyPi](https://pypi.org/project/gradio) (📥 8.5M / month · 📦 1.2K · ⏱️ 19.05.2025):

pip install gradio

carla (🥇37 · ⭐ 12K) - Open-source simulator for autonomous driving research. MIT

- [GitHub](https://github.com/carla-simulator/carla) (👨‍💻 180 · 🔀 3.9K · 📦 1.1K · 📋 5.9K - 18% open · ⏱️ 06.05.2025):

git clone https://github.com/carla-simulator/carla

- [PyPi](https://pypi.org/project/carla) (📥 43K / month · 📦 11 · ⏱️ 14.11.2023):

pip install carla

Autograd (🥇37 · ⭐ 7.3K) - Efficiently computes derivatives of NumPy code. MIT

- [GitHub](https://github.com/HIPS/autograd) (👨‍💻 61 · 🔀 910 · 📦 13K · 📋 440 - 42% open · ⏱️ 19.05.2025):

git clone https://github.com/HIPS/autograd

- [PyPi](https://pypi.org/project/autograd) (📥 3.4M / month · 📦 310 · ⏱️ 05.05.2025):

pip install autograd

- [Conda](https://anaconda.org/conda-forge/autograd) (📥 540K · ⏱️ 05.05.2025):

conda install -c conda-forge autograd

PennyLane (🥇37 · ⭐ 2.6K) - PennyLane is a cross-platform Python library for quantum.. Apache-2

- [GitHub](https://github.com/PennyLaneAI/pennylane) (👨‍💻 200 · 🔀 660 · 📥 100 · 📦 1.7K · 📋 1.6K - 25% open · ⏱️ 22.05.2025):

git clone https://github.com/PennyLaneAI/PennyLane

- [PyPi](https://pypi.org/project/pennylane) (📥 90K / month · 📦 150 · ⏱️ 02.05.2025):

pip install pennylane

- [Conda](https://anaconda.org/conda-forge/pennylane) (📥 270K · ⏱️ 22.04.2025):

conda install -c conda-forge pennylane

PyOD (🥈36 · ⭐ 9.2K) - A Python Library for Outlier and Anomaly Detection, Integrating Classical.. BSD-2

- [GitHub](https://github.com/yzhao062/pyod) (👨‍💻 65 · 🔀 1.4K · 📦 5.3K · 📋 380 - 60% open · ⏱️ 29.04.2025):

git clone https://github.com/yzhao062/pyod

- [PyPi](https://pypi.org/project/pyod) (📥 640K / month · 📦 130 · ⏱️ 29.04.2025):

pip install pyod

- [Conda](https://anaconda.org/conda-forge/pyod) (📥 150K · ⏱️ 30.04.2025):

conda install -c conda-forge pyod

Datasette (🥈34 · ⭐ 10K) - An open source multi-tool for exploring and publishing data. Apache-2

- [GitHub](https://github.com/simonw/datasette) (👨‍💻 82 · 🔀 740 · 📥 72 · 📦 1.5K · 📋 1.9K - 32% open · ⏱️ 22.04.2025):

git clone https://github.com/simonw/datasette

- [PyPi](https://pypi.org/project/datasette) (📥 190K / month · 📦 460 · ⏱️ 22.04.2025):

pip install datasette

- [Conda](https://anaconda.org/conda-forge/datasette) (📥 62K · ⏱️ 22.04.2025):

conda install -c conda-forge datasette

DeepChem (🥈34 · ⭐ 6K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT

- [GitHub](https://github.com/deepchem/deepchem) (👨‍💻 260 · 🔀 1.9K · 📦 610 · 📋 2K - 38% open · ⏱️ 21.05.2025):

git clone https://github.com/deepchem/deepchem

- [PyPi](https://pypi.org/project/deepchem) (📥 39K / month · 📦 17 · ⏱️ 21.05.2025):

pip install deepchem

- [Conda](https://anaconda.org/conda-forge/deepchem) (📥 120K · ⏱️ 22.04.2025):

conda install -c conda-forge deepchem

agate (🥈34 · ⭐ 1.2K) - A Python data analysis library that is optimized for humans instead of.. MIT

- [GitHub](https://github.com/wireservice/agate) (👨‍💻 53 · 🔀 150 · 📦 5K · 📋 650 - 0% open · ⏱️ 27.02.2025):

git clone https://github.com/wireservice/agate

- [PyPi](https://pypi.org/project/agate) (📥 18M / month · 📦 54 · ⏱️ 29.01.2025):

pip install agate

- [Conda](https://anaconda.org/conda-forge/agate) (📥 320K · ⏱️ 22.04.2025):

conda install -c conda-forge agate

Pythran (🥈33 · ⭐ 2.1K) - Ahead of Time compiler for numeric kernels. BSD-3

- [GitHub](https://github.com/serge-sans-paille/pythran) (👨‍💻 74 · 🔀 200 · 📦 3.4K · 📋 890 - 14% open · ⏱️ 10.05.2025):

git clone https://github.com/serge-sans-paille/pythran

- [PyPi](https://pypi.org/project/pythran) (📥 310K / month · 📦 21 · ⏱️ 31.10.2024):

pip install pythran

- [Conda](https://anaconda.org/conda-forge/pythran) (📥 1.1M · ⏱️ 22.04.2025):

conda install -c conda-forge pythran

hdbscan (🥈32 · ⭐ 2.9K) - A high performance implementation of HDBSCAN clustering. BSD-3

- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (👨‍💻 96 · 🔀 500 · 📦 6.8K · 📋 530 - 67% open · ⏱️ 13.05.2025):

git clone https://github.com/scikit-learn-contrib/hdbscan

- [PyPi](https://pypi.org/project/hdbscan) (📥 740K / month · 📦 350 · ⏱️ 18.11.2024):

pip install hdbscan

- [Conda](https://anaconda.org/conda-forge/hdbscan) (📥 2.5M · ⏱️ 22.04.2025):

conda install -c conda-forge hdbscan

tensorly (🥈32 · ⭐ 1.6K) - TensorLy: Tensor Learning in Python. BSD-2

- [GitHub](https://github.com/tensorly/tensorly) (👨‍💻 74 · 🔀 290 · 📦 1K · 📋 280 - 23% open · ⏱️ 05.05.2025):

git clone https://github.com/tensorly/tensorly

- [PyPi](https://pypi.org/project/tensorly) (📥 76K / month · 📦 99 · ⏱️ 12.11.2024):

pip install tensorly

- [Conda](https://anaconda.org/conda-forge/tensorly) (📥 380K · ⏱️ 22.04.2025):

conda install -c conda-forge tensorly

pyjanitor (🥈32 · ⭐ 1.4K) - Clean APIs for data cleaning. Python implementation of R package.. MIT

- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (👨‍💻 110 · 🔀 170 · 📦 940 · 📋 580 - 19% open · ⏱️ 14.05.2025):

git clone https://github.com/pyjanitor-devs/pyjanitor

- [PyPi](https://pypi.org/project/pyjanitor) (📥 90K / month · 📦 42 · ⏱️ 07.03.2025):

pip install pyjanitor

- [Conda](https://anaconda.org/conda-forge/pyjanitor) (📥 260K · ⏱️ 22.04.2025):

conda install -c conda-forge pyjanitor

PaddleHub (🥈31 · ⭐ 13K · 💤) - Awesome pre-trained models toolkit based on PaddlePaddle... Apache-2

- [GitHub](https://github.com/PaddlePaddle/PaddleHub) (👨‍💻 69 · 🔀 2.1K · 📥 840 · 📦 1.9K · 📋 1.3K - 44% open · ⏱️ 07.08.2024):

git clone https://github.com/PaddlePaddle/PaddleHub

- [PyPi](https://pypi.org/project/paddlehub) (📥 5.8K / month · 📦 7 · ⏱️ 20.09.2023):

pip install paddlehub

pyopencl (🥈31 · ⭐ 1.1K) - OpenCL integration for Python, plus shiny features. MIT

- [GitHub](https://github.com/inducer/pyopencl) (👨‍💻 98 · 🔀 240 · 📦 2.3K · 📋 360 - 21% open · ⏱️ 07.05.2025):

git clone https://github.com/inducer/pyopencl

- [PyPi](https://pypi.org/project/pyopencl) (📥 91K / month · 📦 180 · ⏱️ 22.01.2025):

pip install pyopencl

- [Conda](https://anaconda.org/conda-forge/pyopencl) (📥 1.8M · ⏱️ 22.04.2025):

conda install -c conda-forge pyopencl

datalad (🥈31 · ⭐ 580) - Keep code, data, containers under control with git and git-annex. MIT

- [GitHub](https://github.com/datalad/datalad) (👨‍💻 57 · 🔀 110 · 📦 520 · 📋 4K - 13% open · ⏱️ 21.05.2025):

git clone https://github.com/datalad/datalad

- [PyPi](https://pypi.org/project/datalad) (📥 21K / month · 📦 100 · ⏱️ 21.05.2025):

pip install datalad

- [Conda](https://anaconda.org/conda-forge/datalad) (📥 870K · ⏱️ 22.04.2025):

conda install -c conda-forge datalad

River (🥈30 · ⭐ 5.3K) - Online machine learning in Python. BSD-3

- [GitHub](https://github.com/online-ml/river) (👨‍💻 130 · 🔀 570 · 📦 740 · 📋 620 - 19% open · ⏱️ 15.05.2025):

git clone https://github.com/online-ml/river

- [PyPi](https://pypi.org/project/river) (📥 62K / month · 📦 64 · ⏱️ 25.11.2024):

pip install river

- [Conda](https://anaconda.org/conda-forge/river) (📥 110K · ⏱️ 22.04.2025):

conda install -c conda-forge river

anomalib (🥈30 · ⭐ 4.3K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2

- [GitHub](https://github.com/open-edge-platform/anomalib) (👨‍💻 86 · 🔀 740 · 📥 26K · 📦 190 · 📋 1K - 15% open · ⏱️ 22.05.2025):

git clone https://github.com/openvinotoolkit/anomalib

- [PyPi](https://pypi.org/project/anomalib) (📥 59K / month · 📦 5 · ⏱️ 19.03.2025):

pip install anomalib

dstack (🥈30 · ⭐ 1.8K) - dstack is an open-source alternative to Kubernetes and Slurm, designed.. MPL-2.0

- [GitHub](https://github.com/dstackai/dstack) (👨‍💻 53 · 🔀 180 · 📦 18 · 📋 1.3K - 9% open · ⏱️ 22.05.2025):

git clone https://github.com/dstackai/dstack

- [PyPi](https://pypi.org/project/dstack) (📥 5.9K / month · ⏱️ 21.05.2025):

pip install dstack

causalml (🥈29 · ⭐ 5.4K) - Uplift modeling and causal inference with machine learning.. Apache-2

- [GitHub](https://github.com/uber/causalml) (👨‍💻 66 · 🔀 810 · 📦 290 · 📋 410 - 10% open · ⏱️ 19.05.2025):

git clone https://github.com/uber/causalml

- [PyPi](https://pypi.org/project/causalml) (📥 42K / month · 📦 10 · ⏱️ 15.05.2025):

pip install causalml

adapter-transformers (🥉28 · ⭐ 2.7K) - A Unified Library for Parameter-Efficient and Modular.. Apache-2 huggingface

- [GitHub](https://github.com/adapter-hub/adapters) (👨‍💻 15 · 🔀 360 · 📦 230 · 📋 400 - 10% open · ⏱️ 20.05.2025):

git clone https://github.com/Adapter-Hub/adapter-transformers

- [PyPi](https://pypi.org/project/adapter-transformers) (📥 4.6K / month · 📦 12 · ⏱️ 07.07.2024):

pip install adapter-transformers

Prince (🥉28 · ⭐ 1.4K) - Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA,.. MIT

- [GitHub](https://github.com/MaxHalford/prince) (👨‍💻 16 · 🔀 180 · 📦 740 · ⏱️ 09.03.2025):

git clone https://github.com/MaxHalford/prince

- [PyPi](https://pypi.org/project/prince) (📥 150K / month · 📦 20 · ⏱️ 09.03.2025):

pip install prince

- [Conda](https://anaconda.org/conda-forge/prince-factor-analysis) (📥 25K · ⏱️ 22.04.2025):

conda install -c conda-forge prince-factor-analysis

Trax (🥉27 · ⭐ 8.2K) - Trax Deep Learning with Clear Code and Speed. Apache-2

- [GitHub](https://github.com/google/trax) (👨‍💻 81 · 🔀 820 · 📦 220 · 📋 250 - 49% open · ⏱️ 10.04.2025):

git clone https://github.com/google/trax

- [PyPi](https://pypi.org/project/trax) (📥 2.2K / month · 📦 1 · ⏱️ 26.10.2021):

pip install trax

avalanche (🥉27 · ⭐ 1.9K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT

- [GitHub](https://github.com/ContinualAI/avalanche) (👨‍💻 84 · 🔀 300 · 📥 54 · 📦 140 · 📋 830 - 12% open · ⏱️ 11.03.2025):

git clone https://github.com/ContinualAI/avalanche

- [PyPi](https://pypi.org/project/avalanche-lib) (📥 1.9K / month · 📦 3 · ⏱️ 29.10.2024):

pip install avalanche-lib

TabPy (🥉27 · ⭐ 1.6K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT

- [GitHub](https://github.com/tableau/TabPy) (👨‍💻 51 · 🔀 600 · 📦 210 · 📋 320 - 6% open · ⏱️ 25.11.2024):

git clone https://github.com/tableau/TabPy

- [PyPi](https://pypi.org/project/tabpy) (📥 6.3K / month · 📦 2 · ⏱️ 25.11.2024):

pip install tabpy

- [Conda](https://anaconda.org/anaconda/tabpy-client) (📥 5.2K · ⏱️ 22.04.2025):

conda install -c anaconda tabpy-client

pycm (🥉27 · ⭐ 1.5K) - Multi-class confusion matrix library in Python. MIT

- [GitHub](https://github.com/sepandhaghighi/pycm) (👨‍💻 18 · 🔀 130 · 📦 400 · 📋 210 - 8% open · ⏱️ 04.04.2025):

git clone https://github.com/sepandhaghighi/pycm

- [PyPi](https://pypi.org/project/pycm) (📥 40K / month · 📦 24 · ⏱️ 04.04.2025):

pip install pycm

metric-learn (🥉26 · ⭐ 1.4K · 💤) - Metric learning algorithms in Python. MIT

- [GitHub](https://github.com/scikit-learn-contrib/metric-learn) (👨‍💻 23 · 🔀 230 · 📦 480 · 📋 180 - 30% open · ⏱️ 03.08.2024):

git clone https://github.com/scikit-learn-contrib/metric-learn

- [PyPi](https://pypi.org/project/metric-learn) (📥 5.3K / month · 📦 7 · ⏱️ 09.10.2023):

pip install metric-learn

- [Conda](https://anaconda.org/conda-forge/metric-learn) (📥 16K · ⏱️ 22.04.2025):

conda install -c conda-forge metric-learn

Feature Engine (🥉25 · ⭐ 2K · 💤) - Feature engineering package with sklearn like functionality. BSD-3

- [GitHub](https://github.com/solegalli/feature_engine) (👨‍💻 49 · 🔀 320 · ⏱️ 31.08.2024):

git clone https://github.com/solegalli/feature_engine

- [PyPi](https://pypi.org/project/feature_engine) (📥 270K / month · 📦 180 · ⏱️ 22.01.2025):

pip install feature_engine

- [Conda](https://anaconda.org/conda-forge/feature_engine) (📥 73K · ⏱️ 22.04.2025):

conda install -c conda-forge feature_engine

AugLy (🥉24 · ⭐ 5K) - A data augmentations library for audio, image, text, and video. MIT

- [GitHub](https://github.com/facebookresearch/AugLy) (👨‍💻 38 · 🔀 300 · 📦 180 · 📋 80 - 30% open · ⏱️ 28.02.2025):

git clone https://github.com/facebookresearch/AugLy

- [PyPi](https://pypi.org/project/augly) (📥 2.6K / month · 📦 4 · ⏱️ 05.12.2023):

pip install augly

BioPandas (🥉23 · ⭐ 730 · 💤) - Working with molecular structures in pandas DataFrames. BSD-3

- [GitHub](https://github.com/BioPandas/biopandas) (👨‍💻 18 · 🔀 120 · 📦 370 · 📋 60 - 36% open · ⏱️ 01.08.2024):

git clone https://github.com/rasbt/biopandas

- [PyPi](https://pypi.org/project/biopandas) (📥 10K / month · 📦 38 · ⏱️ 01.08.2024):

pip install biopandas

- [Conda](https://anaconda.org/conda-forge/biopandas) (📥 180K · ⏱️ 22.04.2025):

conda install -c conda-forge biopandas

MONAILabel (🥉22 · ⭐ 710) - MONAI Label is an intelligent open source image labeling and.. Apache-2

- [GitHub](https://github.com/Project-MONAI/MONAILabel) (👨‍💻 66 · 🔀 220 · 📥 120K · 📋 550 - 25% open · ⏱️ 05.05.2025):

git clone https://github.com/Project-MONAI/MONAILabel

- [PyPi](https://pypi.org/project/monailabel-weekly) (📥 1.2K / month · ⏱️ 01.10.2023):

pip install monailabel-weekly

pykale (🥉22 · ⭐ 460) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT

- [GitHub](https://github.com/pykale/pykale) (👨‍💻 26 · 🔀 66 · 📦 6 · 📋 130 - 8% open · ⏱️ 18.05.2025):

git clone https://github.com/pykale/pykale

- [PyPi](https://pypi.org/project/pykale) (📥 240 / month · ⏱️ 12.04.2022):

pip install pykale

SUOD (🥉22 · ⭐ 390) - (MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous.. BSD-2

- [GitHub](https://github.com/yzhao062/SUOD) (👨‍💻 3 · 🔀 49 · 📦 550 · 📋 15 - 80% open · ⏱️ 24.03.2025):

git clone https://github.com/yzhao062/SUOD

- [PyPi](https://pypi.org/project/suod) (📥 14K / month · 📦 9 · ⏱️ 24.03.2025):

pip install suod

benchmark_VAE (🥉20 · ⭐ 1.9K · 💤) - Unifying Variational Autoencoder (VAE).. Apache-2

- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (👨‍💻 18 · 🔀 170 · 📦 40 · 📋 71 - 36% open · ⏱️ 17.07.2024):

git clone https://github.com/clementchadebec/benchmark_VAE

- [PyPi](https://pypi.org/project/pythae) (📥 660 / month · ⏱️ 06.09.2023):

pip install pythae

pymdp (🥉20 · ⭐ 530) - A Python implementation of active inference for Markov Decision Processes. MIT

- [GitHub](https://github.com/infer-actively/pymdp) (👨‍💻 19 · 🔀 100 · 📦 24 · 📋 56 - 48% open · ⏱️ 06.02.2025):

git clone https://github.com/infer-actively/pymdp

- [PyPi](https://pypi.org/project/inferactively-pymdp) (📥 10K / month · ⏱️ 08.12.2022):

pip install inferactively-pymdp

NeuralCompression (🥉15 · ⭐ 550 · 💤) - A collection of tools for neural compression enthusiasts. MIT

- [GitHub](https://github.com/facebookresearch/NeuralCompression) (👨‍💻 10 · 🔀 45 · 📋 73 - 9% open · ⏱️ 20.09.2024):

git clone https://github.com/facebookresearch/NeuralCompression

- [PyPi](https://pypi.org/project/neuralcompression) (📥 160 / month · ⏱️ 03.10.2023):

pip install neuralcompression

Show 28 hidden projects...

- Cython BLIS (🥈31 · ⭐ 230) - Fast matrix-multiplication as a self-contained Python library no.. BSD-3 - cleanlab (🥈30 · ⭐ 11K) - The standard data-centric AI package for data quality and machine.. ❗️AGPL-3.0 - pysc2 (🥈29 · ⭐ 8.1K · 💀) - StarCraft II Learning Environment. Apache-2 - minisom (🥈29 · ⭐ 1.5K) - MiniSom is a minimalistic implementation of the Self Organizing.. ❗️CC-BY-3.0 - kmodes (🥈29 · ⭐ 1.3K · 💀) - Python implementations of the k-modes and k-prototypes clustering.. MIT - pyclustering (🥈29 · ⭐ 1.2K · 💀) - pyclustering is a Python, C++ data mining library. BSD-3 - alibi-detect (🥉28 · ⭐ 2.4K) - Algorithms for outlier, adversarial and drift detection. ❗️Intel - modAL (🥉28 · ⭐ 2.3K · 💀) - A modular active learning framework for Python. MIT - gplearn (🥉27 · ⭐ 1.7K · 💀) - Genetic Programming in Python, with a scikit-learn inspired API. BSD-3 - PySwarms (🥉27 · ⭐ 1.3K · 💀) - A research toolkit for particle swarm optimization in Python. MIT - metricflow (🥉27 · ⭐ 1.2K) - MetricFlow allows you to define, build, and maintain metrics.. ❗Unlicensed - findspark (🥉25 · ⭐ 520 · 💀) - Find pyspark to make it importable. BSD-3 - pandas-ai (🥉24 · ⭐ 20K) - Chat with your database or your datalake (SQL, CSV, parquet)... ❗Unlicensed - Mars (🥉24 · ⭐ 2.7K · 💀) - Mars is a tensor-based unified framework for large-scale data.. Apache-2 - AstroML (🥉23 · ⭐ 1.1K · 💀) - Machine learning, statistics, and data mining for astronomy.. BSD-2 - opyrator (🥉22 · ⭐ 3.1K · 💀) - Turns your machine learning code into microservices with web API,.. MIT - mlens (🥉22 · ⭐ 860 · 💀) - ML-Ensemble high performance ensemble learning. MIT - vecstack (🥉22 · ⭐ 690 · 💀) - Python package for stacking (machine learning technique). MIT - apricot (🥉22 · ⭐ 510 · 💀) - apricot implements submodular optimization for the purpose of.. MIT - impyute (🥉21 · ⭐ 360 · 💀) - Data imputations library to preprocess datasets with missing data. MIT - StreamAlert (🥉20 · ⭐ 2.9K · 💀) - StreamAlert is a serverless, realtime data analysis.. Apache-2 - rrcf (🥉20 · ⭐ 510 · 💀) - Implementation of the Robust Random Cut Forest algorithm for anomaly.. MIT - scikit-rebate (🥉20 · ⭐ 420 · 💀) - A scikit-learn-compatible Python implementation of.. MIT - baikal (🥉19 · ⭐ 590 · 💀) - A graph-based functional API for building complex scikit-learn.. BSD-3 - pandas-ml (🥉16 · ⭐ 320 · 💀) - pandas, scikit-learn, xgboost and seaborn integration. BSD-3 - KD-Lib (🥉15 · ⭐ 630 · 💀) - A Pytorch Knowledge Distillation library for benchmarking and.. MIT - traingenerator (🥉13 · ⭐ 1.4K · 💀) - A web app to generate template code for machine learning. MIT - nylon (🥉13 · ⭐ 83 · 💀) - An intelligent, flexible grammar of machine learning. MIT

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License

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January 20, 2025
in Python, ML
161 min read

Best-of Machine Learning with Python

🏆 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!

🧙‍♂️ Discover other best-of lists or create your own.
📫 Subscribe to our newsletter for updates and trending projects.

Machine Learning Frameworks 63 projects
Data Visualization 55 projects
Text Data & NLP 103 projects
Image Data 64 projects
Graph Data 36 projects
Audio Data 29 projects
Geospatial Data 22 projects
Financial Data 25 projects
Time Series Data 29 projects
Medical Data 19 projects
Tabular Data 6 projects
Optical Character Recognition 12 projects
Data Containers & Structures 1 projects
Data Loading & Extraction 1 projects
Web Scraping & Crawling 1 projects
Data Pipelines & Streaming 2 projects
Distributed Machine Learning 36 projects
Hyperparameter Optimization & AutoML 52 projects
Reinforcement Learning 23 projects
Recommender Systems 17 projects
Privacy Machine Learning 7 projects
Workflow & Experiment Tracking 40 projects
Model Serialization & Deployment 20 projects
Model Interpretability 55 projects
Vector Similarity Search (ANN) 13 projects
Probabilistics & Statistics 24 projects
Adversarial Robustness 9 projects
GPU & Accelerator Utilities 20 projects
Tensorflow Utilities 16 projects
Jax Utilities 3 projects
Sklearn Utilities 19 projects
Pytorch Utilities 32 projects
Database Clients 1 projects
Others 66 projects

Explanation

🥇🥈🥉 Combined project-quality score
⭐️ Star count from GitHub
🐣 New project (less than 6 months old)
💤 Inactive project (6 months no activity)
💀 Dead project (12 months no activity)
📈📉 Project is trending up or down
➕ Project was recently added
❗️ Warning (e.g. missing/risky license)
👨‍💻 Contributors count from GitHub
🔀 Fork count from GitHub
📋 Issue count from GitHub
⏱️ Last update timestamp on package manager
📥 Download count from package manager
📦 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

General-purpose machine learning and deep learning frameworks.

Tensorflow (🥇55 · ⭐ 190K) - An Open Source Machine Learning Framework for Everyone. Apache-2

- [GitHub](https://github.com/tensorflow/tensorflow) (👨‍💻 4.9K · 🔀 75K · 📦 540K · 📋 41K - 3% open · ⏱️ 10.07.2025):

git clone https://github.com/tensorflow/tensorflow

- [PyPi](https://pypi.org/project/tensorflow) (📥 23M / month · 📦 9.1K · ⏱️ 12.03.2025):

pip install tensorflow

- [Conda](https://anaconda.org/conda-forge/tensorflow) (📥 5.6M · ⏱️ 12.06.2025):

conda install -c conda-forge tensorflow

- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (📥 80M · ⭐ 2.8K · ⏱️ 10.07.2025):

docker pull tensorflow/tensorflow

PyTorch (🥇55 · ⭐ 91K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3

- [GitHub](https://github.com/pytorch/pytorch) (👨‍💻 5.7K · 🔀 25K · 📥 93K · 📦 820K · 📋 54K - 30% open · ⏱️ 10.07.2025):

git clone https://github.com/pytorch/pytorch

- [PyPi](https://pypi.org/project/torch) (📥 49M / month · 📦 26K · ⏱️ 04.06.2025):

pip install torch

- [Conda](https://anaconda.org/pytorch/pytorch) (📥 28M · ⏱️ 25.03.2025):

conda install -c pytorch pytorch

scikit-learn (🥇53 · ⭐ 63K) - scikit-learn: machine learning in Python. BSD-3

- [GitHub](https://github.com/scikit-learn/scikit-learn) (👨‍💻 3.3K · 🔀 26K · 📥 1.1K · 📦 1.3M · 📋 12K - 17% open · ⏱️ 10.07.2025):

git clone https://github.com/scikit-learn/scikit-learn

- [PyPi](https://pypi.org/project/scikit-learn) (📥 100M / month · 📦 32K · ⏱️ 05.06.2025):

pip install scikit-learn

- [Conda](https://anaconda.org/conda-forge/scikit-learn) (📥 38M · ⏱️ 09.06.2025):

conda install -c conda-forge scikit-learn

Keras (🥇47 · ⭐ 63K) - Deep Learning for humans. Apache-2

- [GitHub](https://github.com/keras-team/keras) (👨‍💻 1.4K · 🔀 20K · 📋 13K - 2% open · ⏱️ 09.07.2025):

git clone https://github.com/keras-team/keras

- [PyPi](https://pypi.org/project/keras) (📥 14M / month · 📦 1.9K · ⏱️ 19.05.2025):

pip install keras

- [Conda](https://anaconda.org/conda-forge/keras) (📥 4.2M · ⏱️ 20.05.2025):

conda install -c conda-forge keras

jax (🥇46 · ⭐ 33K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2

- [GitHub](https://github.com/jax-ml/jax) (👨‍💻 920 · 🔀 3.1K · 📦 46K · 📋 6.4K - 24% open · ⏱️ 10.07.2025):

git clone https://github.com/google/jax

- [PyPi](https://pypi.org/project/jax) (📥 8.9M / month · 📦 2.6K · ⏱️ 17.06.2025):

pip install jax

- [Conda](https://anaconda.org/conda-forge/jaxlib) (📥 2.8M · ⏱️ 31.05.2025):

conda install -c conda-forge jaxlib

XGBoost (🥇46 · ⭐ 27K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2

- [GitHub](https://github.com/dmlc/xgboost) (👨‍💻 660 · 🔀 8.8K · 📥 17K · 📦 170K · 📋 5.6K - 8% open · ⏱️ 10.07.2025):

git clone https://github.com/dmlc/xgboost

- [PyPi](https://pypi.org/project/xgboost) (📥 26M / month · 📦 2.5K · ⏱️ 25.05.2025):

pip install xgboost

- [Conda](https://anaconda.org/conda-forge/xgboost) (📥 6.3M · ⏱️ 26.05.2025):

conda install -c conda-forge xgboost

PaddlePaddle (🥇45 · ⭐ 23K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2

- [GitHub](https://github.com/PaddlePaddle/Paddle) (👨‍💻 1.4K · 🔀 5.8K · 📥 15K · 📦 8.6K · 📋 20K - 9% open · ⏱️ 10.07.2025):

git clone https://github.com/PaddlePaddle/Paddle

- [PyPi](https://pypi.org/project/paddlepaddle) (📥 440K / month · 📦 240 · ⏱️ 29.06.2025):

pip install paddlepaddle

PySpark (🥈44 · ⭐ 41K) - Apache Spark Python API. Apache-2

- [GitHub](https://github.com/apache/spark) (👨‍💻 3.3K · 🔀 29K · ⏱️ 10.07.2025):

git clone https://github.com/apache/spark

- [PyPi](https://pypi.org/project/pyspark) (📥 44M / month · 📦 1.9K · ⏱️ 27.05.2025):

pip install pyspark

- [Conda](https://anaconda.org/conda-forge/pyspark) (📥 4M · ⏱️ 23.05.2025):

conda install -c conda-forge pyspark

pytorch-lightning (🥈44 · ⭐ 30K) - Pretrain, finetune ANY AI model of ANY size on.. Apache-2

- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (👨‍💻 1K · 🔀 3.5K · 📥 14K · 📦 48K · 📋 7.4K - 12% open · ⏱️ 09.07.2025):

git clone https://github.com/Lightning-AI/lightning

- [PyPi](https://pypi.org/project/pytorch-lightning) (📥 10M / month · 📦 1.7K · ⏱️ 20.06.2025):

pip install pytorch-lightning

- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (📥 1.6M · ⏱️ 21.06.2025):

conda install -c conda-forge pytorch-lightning

StatsModels (🥈44 · ⭐ 11K · 📈) - Statsmodels: statistical modeling and econometrics in Python. BSD-3

- [GitHub](https://github.com/statsmodels/statsmodels) (👨‍💻 460 · 🔀 3.3K · 📥 35 · 📦 180K · 📋 5.8K - 50% open · ⏱️ 10.07.2025):

git clone https://github.com/statsmodels/statsmodels

- [PyPi](https://pypi.org/project/statsmodels) (📥 18M / month · 📦 5.6K · ⏱️ 07.07.2025):

pip install statsmodels

- [Conda](https://anaconda.org/conda-forge/statsmodels) (📥 20M · ⏱️ 07.07.2025):

conda install -c conda-forge statsmodels

LightGBM (🥈42 · ⭐ 17K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT

- [GitHub](https://github.com/microsoft/LightGBM) (👨‍💻 330 · 🔀 3.9K · 📥 300K · 📦 55K · 📋 3.6K - 12% open · ⏱️ 28.06.2025):

git clone https://github.com/microsoft/LightGBM

- [PyPi](https://pypi.org/project/lightgbm) (📥 10M / month · 📦 1.4K · ⏱️ 15.02.2025):

pip install lightgbm

- [Conda](https://anaconda.org/conda-forge/lightgbm) (📥 3.7M · ⏱️ 31.05.2025):

conda install -c conda-forge lightgbm

Catboost (🥈42 · ⭐ 8.5K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2

- [GitHub](https://github.com/catboost/catboost) (👨‍💻 1.3K · 🔀 1.2K · 📥 410K · 📦 19 · 📋 2.5K - 25% open · ⏱️ 10.07.2025):

git clone https://github.com/catboost/catboost

- [PyPi](https://pypi.org/project/catboost) (📥 2.8M / month · 📦 650 · ⏱️ 13.04.2025):

pip install catboost

- [Conda](https://anaconda.org/conda-forge/catboost) (📥 2.1M · ⏱️ 19.05.2025):

conda install -c conda-forge catboost

Fastai (🥈41 · ⭐ 27K) - The fastai deep learning library. Apache-2

- [GitHub](https://github.com/fastai/fastai) (👨‍💻 670 · 🔀 7.6K · 📦 23K · 📋 1.8K - 13% open · ⏱️ 05.06.2025):

git clone https://github.com/fastai/fastai

- [PyPi](https://pypi.org/project/fastai) (📥 590K / month · 📦 330 · ⏱️ 24.05.2025):

pip install fastai

PyFlink (🥈38 · ⭐ 25K) - Apache Flink Python API. Apache-2

- [GitHub](https://github.com/apache/flink) (👨‍💻 2K · 🔀 14K · 📦 21 · ⏱️ 10.07.2025):

git clone https://github.com/apache/flink

- [PyPi](https://pypi.org/project/apache-flink) (📥 430K / month · 📦 36 · ⏱️ 07.07.2025):

pip install apache-flink

ivy (🥈37 · ⭐ 14K · 📈) - Convert Machine Learning Code Between Frameworks. Apache-2

- [GitHub](https://github.com/ivy-llc/ivy) (👨‍💻 1.5K · 🔀 5.6K · 📋 17K - 5% open · ⏱️ 09.07.2025):

git clone https://github.com/unifyai/ivy

- [PyPi](https://pypi.org/project/ivy) (📥 15K / month · 📦 16 · ⏱️ 16.06.2025):

pip install ivy

einops (🥈37 · ⭐ 9K) - Flexible and powerful tensor operations for readable and reliable code (for.. MIT

- [GitHub](https://github.com/arogozhnikov/einops) (👨‍💻 33 · 🔀 370 · 📦 80K · 📋 200 - 17% open · ⏱️ 25.04.2025):

git clone https://github.com/arogozhnikov/einops

- [PyPi](https://pypi.org/project/einops) (📥 10M / month · 📦 2.6K · ⏱️ 09.02.2025):

pip install einops

- [Conda](https://anaconda.org/conda-forge/einops) (📥 410K · ⏱️ 22.04.2025):

conda install -c conda-forge einops

Flax (🥈37 · ⭐ 6.7K) - Flax is a neural network library for JAX that is designed for.. Apache-2

- [GitHub](https://github.com/google/flax) (👨‍💻 270 · 🔀 720 · 📥 61 · 📦 15K · 📋 1.2K - 33% open · ⏱️ 10.07.2025):

git clone https://github.com/google/flax

- [PyPi](https://pypi.org/project/flax) (📥 1.5M / month · 📦 660 · ⏱️ 02.07.2025):

pip install flax

- [Conda](https://anaconda.org/conda-forge/flax) (📥 110K · ⏱️ 22.04.2025):

conda install -c conda-forge flax

Ignite (🥈36 · ⭐ 4.7K · 📉) - High-level library to help with training and evaluating neural.. BSD-3

- [GitHub](https://github.com/pytorch/ignite) (👨‍💻 900 · 🔀 650 · 📦 3.9K · 📋 1.4K - 11% open · ⏱️ 07.07.2025):

git clone https://github.com/pytorch/ignite

- [PyPi](https://pypi.org/project/pytorch-ignite) (📥 110K / month · 📦 110 · ⏱️ 10.07.2025):

pip install pytorch-ignite

- [Conda](https://anaconda.org/pytorch/ignite) (📥 240K · ⏱️ 30.03.2025):

conda install -c pytorch ignite

Thinc (🥈35 · ⭐ 2.9K · 📈) - A refreshing functional take on deep learning, compatible with your.. MIT

- [GitHub](https://github.com/explosion/thinc) (👨‍💻 67 · 🔀 280 · 📥 1.8K · 📦 70K · 📋 150 - 12% open · ⏱️ 07.03.2025):

git clone https://github.com/explosion/thinc

- [PyPi](https://pypi.org/project/thinc) (📥 11M / month · 📦 160 · ⏱️ 04.04.2025):

pip install thinc

- [Conda](https://anaconda.org/conda-forge/thinc) (📥 3.6M · ⏱️ 06.07.2025):

conda install -c conda-forge thinc

Jina (🥈34 · ⭐ 22K) - Build multimodal AI applications with cloud-native stack. Apache-2

- [GitHub](https://github.com/jina-ai/serve) (👨‍💻 180 · 🔀 2.2K · 📋 1.9K - 0% open · ⏱️ 24.03.2025):

git clone https://github.com/jina-ai/jina

- [PyPi](https://pypi.org/project/jina) (📥 52K / month · 📦 29 · ⏱️ 24.03.2025):

pip install jina

- [Conda](https://anaconda.org/conda-forge/jina-core) (📥 100K · ⏱️ 22.04.2025):

conda install -c conda-forge jina-core

- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (📥 1.8M · ⭐ 8 · ⏱️ 24.03.2025):

docker pull jinaai/jina

mlpack (🥈33 · ⭐ 5.4K) - mlpack: a fast, header-only C++ machine learning library. BSD-3

- [GitHub](https://github.com/mlpack/mlpack) (👨‍💻 330 · 🔀 1.7K · 📋 1.7K - 1% open · ⏱️ 28.06.2025):

git clone https://github.com/mlpack/mlpack

- [PyPi](https://pypi.org/project/mlpack) (📥 3.3K / month · 📦 6 · ⏱️ 22.05.2025):

pip install mlpack

- [Conda](https://anaconda.org/conda-forge/mlpack) (📥 380K · ⏱️ 22.04.2025):

conda install -c conda-forge mlpack

Ludwig (🥉32 · ⭐ 12K · 💤) - Low-code framework for building custom LLMs, neural networks,.. Apache-2

- [GitHub](https://github.com/ludwig-ai/ludwig) (👨‍💻 160 · 🔀 1.2K · 📦 320 · 📋 1.1K - 4% open · ⏱️ 17.10.2024):

git clone https://github.com/ludwig-ai/ludwig

- [PyPi](https://pypi.org/project/ludwig) (📥 2.6K / month · 📦 6 · ⏱️ 30.07.2024):

pip install ludwig

Vowpal Wabbit (🥉32 · ⭐ 8.6K · 💤) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3

- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (👨‍💻 340 · 🔀 1.9K · 📦 2 · 📋 1.3K - 11% open · ⏱️ 01.08.2024):

git clone https://github.com/VowpalWabbit/vowpal_wabbit

- [PyPi](https://pypi.org/project/vowpalwabbit) (📥 23K / month · 📦 40 · ⏱️ 08.08.2024):

pip install vowpalwabbit

- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (📥 380K · ⏱️ 22.04.2025):

conda install -c conda-forge vowpalwabbit

Haiku (🥉32 · ⭐ 3.1K) - JAX-based neural network library. Apache-2

- [GitHub](https://github.com/google-deepmind/dm-haiku) (👨‍💻 89 · 🔀 250 · 📦 2.5K · 📋 250 - 29% open · ⏱️ 01.07.2025):

git clone https://github.com/deepmind/dm-haiku

- [PyPi](https://pypi.org/project/dm-haiku) (📥 170K / month · 📦 190 · ⏱️ 22.04.2025):

pip install dm-haiku

- [Conda](https://anaconda.org/conda-forge/dm-haiku) (📥 37K · ⏱️ 23.04.2025):

conda install -c conda-forge dm-haiku

Sonnet (🥉31 · ⭐ 9.9K) - TensorFlow-based neural network library. Apache-2

- [GitHub](https://github.com/google-deepmind/sonnet) (👨‍💻 61 · 🔀 1.3K · 📦 1.5K · 📋 190 - 16% open · ⏱️ 09.06.2025):

git clone https://github.com/deepmind/sonnet

- [PyPi](https://pypi.org/project/dm-sonnet) (📥 20K / month · 📦 19 · ⏱️ 02.01.2024):

pip install dm-sonnet

- [Conda](https://anaconda.org/conda-forge/sonnet) (📥 44K · ⏱️ 22.04.2025):

conda install -c conda-forge sonnet

skorch (🥉31 · ⭐ 6.1K) - A scikit-learn compatible neural network library that wraps.. BSD-3

- [GitHub](https://github.com/skorch-dev/skorch) (👨‍💻 67 · 🔀 390 · 📦 1.7K · 📋 540 - 12% open · ⏱️ 26.06.2025):

git clone https://github.com/skorch-dev/skorch

- [PyPi](https://pypi.org/project/skorch) (📥 120K / month · 📦 94 · ⏱️ 10.01.2025):

pip install skorch

- [Conda](https://anaconda.org/conda-forge/skorch) (📥 800K · ⏱️ 22.04.2025):

conda install -c conda-forge skorch

tensorflow-upstream (🥉31 · ⭐ 690) - TensorFlow ROCm port. Apache-2

- [GitHub](https://github.com/ROCm/tensorflow-upstream) (👨‍💻 4.9K · 🔀 99 · 📥 30 · 📋 390 - 2% open · ⏱️ 09.07.2025):

git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream

- [PyPi](https://pypi.org/project/tensorflow-rocm) (📥 4.1K / month · 📦 9 · ⏱️ 10.01.2024):

pip install tensorflow-rocm

Determined (🥉28 · ⭐ 3.2K) - Determined is an open-source machine learning platform.. Apache-2

- [GitHub](https://github.com/determined-ai/determined) (👨‍💻 120 · 🔀 360 · 📥 14K · 📋 450 - 22% open · ⏱️ 20.03.2025):

git clone https://github.com/determined-ai/determined

- [PyPi](https://pypi.org/project/determined) (📥 380K / month · 📦 4 · ⏱️ 19.03.2025):

pip install determined

Geomstats (🥉28 · ⭐ 1.4K) - Computations and statistics on manifolds with geometric structures. MIT

- [GitHub](https://github.com/geomstats/geomstats) (👨‍💻 95 · 🔀 260 · 📦 150 · 📋 570 - 36% open · ⏱️ 22.05.2025):

git clone https://github.com/geomstats/geomstats

- [PyPi](https://pypi.org/project/geomstats) (📥 4.8K / month · 📦 12 · ⏱️ 09.09.2024):

pip install geomstats

- [Conda](https://anaconda.org/conda-forge/geomstats) (📥 7.1K · ⏱️ 22.04.2025):

conda install -c conda-forge geomstats

NuPIC (🥉27 · ⭐ 6.4K · 💤) - Numenta Platform for Intelligent Computing is an implementation of.. MIT

- [GitHub](https://github.com/numenta/nupic-legacy) (👨‍💻 120 · 🔀 1.6K · 📥 23 · 📦 21 · 📋 1.8K - 25% open · ⏱️ 03.12.2024):

git clone https://github.com/numenta/nupic

- [PyPi](https://pypi.org/project/nupic) (📥 600 / month · ⏱️ 01.09.2016):

pip install nupic

pyRiemann (🥉27 · ⭐ 680) - Machine learning for multivariate data through the Riemannian.. BSD-3

- [GitHub](https://github.com/pyRiemann/pyRiemann) (👨‍💻 37 · 🔀 170 · 📦 480 · 📋 110 - 2% open · ⏱️ 02.07.2025):

git clone https://github.com/pyRiemann/pyRiemann

- [PyPi](https://pypi.org/project/pyriemann) (📥 44K / month · 📦 28 · ⏱️ 12.02.2025):

pip install pyriemann

- [Conda](https://anaconda.org/conda-forge/pyriemann) (📥 14K · ⏱️ 22.04.2025):

conda install -c conda-forge pyriemann

Neural Network Libraries (🥉26 · ⭐ 2.8K) - Neural Network Libraries. Apache-2

- [GitHub](https://github.com/sony/nnabla) (👨‍💻 76 · 🔀 330 · 📥 1K · 📋 95 - 36% open · ⏱️ 30.06.2025):

git clone https://github.com/sony/nnabla

- [PyPi](https://pypi.org/project/nnabla) (📥 2.4K / month · 📦 44 · ⏱️ 29.05.2024):

pip install nnabla

ktrain (🥉26 · ⭐ 1.3K · 💤) - ktrain is a Python library that makes deep learning and AI.. Apache-2

- [GitHub](https://github.com/amaiya/ktrain) (👨‍💻 17 · 🔀 270 · 📦 580 · 📋 500 - 0% open · ⏱️ 09.07.2024):

git clone https://github.com/amaiya/ktrain

- [PyPi](https://pypi.org/project/ktrain) (📥 3.5K / month · 📦 4 · ⏱️ 19.06.2024):

pip install ktrain

Towhee (🥉23 · ⭐ 3.4K · 💤) - Towhee is a framework that is dedicated to making neural data.. Apache-2

- [GitHub](https://github.com/towhee-io/towhee) (👨‍💻 38 · 🔀 260 · 📥 2.7K · 📋 670 - 0% open · ⏱️ 18.10.2024):

git clone https://github.com/towhee-io/towhee

- [PyPi](https://pypi.org/project/towhee) (📥 1.7K / month · ⏱️ 04.12.2023):

pip install towhee

fklearn (🥉23 · ⭐ 1.5K) - fklearn: Functional Machine Learning. Apache-2

- [GitHub](https://github.com/nubank/fklearn) (👨‍💻 56 · 🔀 170 · 📦 16 · 📋 64 - 60% open · ⏱️ 23.04.2025):

git clone https://github.com/nubank/fklearn

- [PyPi](https://pypi.org/project/fklearn) (📥 1.5K / month · ⏱️ 26.02.2025):

pip install fklearn

NeoML (🥉20 · ⭐ 780) - Machine learning framework for both deep learning and traditional.. Apache-2

- [GitHub](https://github.com/neoml-lib/neoml) (👨‍💻 40 · 🔀 130 · 📦 2 · 📋 91 - 40% open · ⏱️ 09.07.2025):

git clone https://github.com/neoml-lib/neoml

- [PyPi](https://pypi.org/project/neoml) (📥 220 / month · ⏱️ 26.12.2023):

pip install neoml

Runhouse (🥉19 · ⭐ 1K) - Distribute and run AI workloads magically in Python, like PyTorch for.. Apache-2

- [GitHub](https://github.com/run-house/runhouse) (👨‍💻 16 · 🔀 36 · 📥 79 · 📋 52 - 19% open · ⏱️ 20.06.2025):

git clone https://github.com/run-house/runhouse

- [PyPi](https://pypi.org/project/runhouse) (📥 6.6K / month · 📦 1 · ⏱️ 10.03.2025):

pip install runhouse

chefboost (🥉19 · ⭐ 480) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT

- [GitHub](https://github.com/serengil/chefboost) (👨‍💻 7 · 🔀 100 · 📦 72 · ⏱️ 09.07.2025):

git clone https://github.com/serengil/chefboost

- [PyPi](https://pypi.org/project/chefboost) (📥 620 / month · ⏱️ 30.10.2024):

pip install chefboost

ThunderGBM (🥉18 · ⭐ 700) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2

- [GitHub](https://github.com/Xtra-Computing/thundergbm) (👨‍💻 12 · 🔀 87 · 📦 4 · 📋 81 - 48% open · ⏱️ 19.03.2025):

git clone https://github.com/Xtra-Computing/thundergbm

- [PyPi](https://pypi.org/project/thundergbm) (📥 250 / month · ⏱️ 19.09.2022):

pip install thundergbm

Show 24 hidden projects...

- dlib (🥈40 · ⭐ 14K) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0 - MXNet (🥈38 · ⭐ 21K · 💀) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. Apache-2 - Theano (🥈37 · ⭐ 9.9K · 💀) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 - MindsDB (🥈33 · ⭐ 33K) - AIs query engine - Platform for building AI that can answer.. ❗️ICU - Chainer (🥈33 · ⭐ 5.9K · 💀) - A flexible framework of neural networks for deep learning. MIT - Turi Create (🥉32 · ⭐ 11K · 💀) - Turi Create simplifies the development of custom machine.. BSD-3 - tensorpack (🥉32 · ⭐ 6.3K · 💀) - A Neural Net Training Interface on TensorFlow, with.. Apache-2 - TFlearn (🥉31 · ⭐ 9.6K · 💀) - Deep learning library featuring a higher-level API for TensorFlow. MIT - dyNET (🥉31 · ⭐ 3.4K · 💀) - DyNet: The Dynamic Neural Network Toolkit. Apache-2 - CNTK (🥉29 · ⭐ 18K · 💀) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT - Lasagne (🥉28 · ⭐ 3.9K · 💀) - Lightweight library to build and train neural networks in Theano. MIT - EvaDB (🥉27 · ⭐ 2.7K · 💀) - Database system for AI-powered apps. Apache-2 - SHOGUN (🥉26 · ⭐ 3K · 💀) - Unified and efficient Machine Learning. BSD-3 - NeuPy (🥉25 · ⭐ 740 · 💀) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT - xLearn (🥉24 · ⭐ 3.1K · 💀) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2 - neon (🥉22 · ⭐ 3.9K · 💀) - Intel Nervana reference deep learning framework committed to best.. Apache-2 - mace (🥉21 · ⭐ 5K · 💀) - MACE is a deep learning inference framework optimized for mobile.. Apache-2 - Neural Tangents (🥉21 · ⭐ 2.4K · 💀) - Fast and Easy Infinite Neural Networks in Python. Apache-2 - ThunderSVM (🥉21 · ⭐ 1.6K · 💀) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2 - Torchbearer (🥉21 · ⭐ 640 · 💀) - torchbearer: A model fitting library for PyTorch. MIT - Objax (🥉19 · ⭐ 770 · 💀) - Objax is a machine learning framework that provides an Object.. Apache-2 - elegy (🥉19 · ⭐ 480 · 💀) - A High Level API for Deep Learning in JAX. MIT - StarSpace (🥉16 · ⭐ 4K · 💀) - Learning embeddings for classification, retrieval and ranking. MIT - nanodl (🥉13 · ⭐ 290 · 💤) - A Jax-based library for building transformers, includes.. MIT

Data Visualization

General-purpose and task-specific data visualization libraries.

Matplotlib (🥇49 · ⭐ 21K) - matplotlib: plotting with Python. ❗Unlicensed

- [GitHub](https://github.com/matplotlib/matplotlib) (👨‍💻 1.8K · 🔀 7.9K · 📦 1.8M · 📋 11K - 14% open · ⏱️ 10.07.2025):

git clone https://github.com/matplotlib/matplotlib

- [PyPi](https://pypi.org/project/matplotlib) (📥 91M / month · 📦 60K · ⏱️ 08.05.2025):

pip install matplotlib

- [Conda](https://anaconda.org/conda-forge/matplotlib) (📥 31M · ⏱️ 15.05.2025):

conda install -c conda-forge matplotlib

Plotly (🥇47 · ⭐ 17K) - The interactive graphing library for Python. MIT

- [GitHub](https://github.com/plotly/plotly.py) (👨‍💻 290 · 🔀 2.7K · 📥 380 · 📦 450K · 📋 3.2K - 20% open · ⏱️ 08.07.2025):

git clone https://github.com/plotly/plotly.py

- [PyPi](https://pypi.org/project/plotly) (📥 27M / month · 📦 8.6K · ⏱️ 26.06.2025):

pip install plotly

- [Conda](https://anaconda.org/conda-forge/plotly) (📥 10M · ⏱️ 27.06.2025):

conda install -c conda-forge plotly

- [npm](https://www.npmjs.com/package/plotlywidget) (📥 4K / month · 📦 9 · ⏱️ 12.01.2021):

npm install plotlywidget

dash (🥇46 · ⭐ 23K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT

- [GitHub](https://github.com/plotly/dash) (👨‍💻 180 · 🔀 2.2K · 📥 90 · 📦 89K · 📋 2K - 27% open · ⏱️ 08.07.2025):

git clone https://github.com/plotly/dash

- [PyPi](https://pypi.org/project/dash) (📥 5.8M / month · 📦 1.7K · ⏱️ 30.06.2025):

pip install dash

- [Conda](https://anaconda.org/conda-forge/dash) (📥 1.9M · ⏱️ 10.07.2025):

conda install -c conda-forge dash

Bokeh (🥇44 · ⭐ 20K) - Interactive Data Visualization in the browser, from Python. BSD-3

- [GitHub](https://github.com/bokeh/bokeh) (👨‍💻 710 · 🔀 4.2K · 📦 100K · 📋 8K - 10% open · ⏱️ 08.07.2025):

git clone https://github.com/bokeh/bokeh

- [PyPi](https://pypi.org/project/bokeh) (📥 4.2M / month · 📦 2K · ⏱️ 05.06.2025):

pip install bokeh

- [Conda](https://anaconda.org/conda-forge/bokeh) (📥 17M · ⏱️ 12.05.2025):

conda install -c conda-forge bokeh

Seaborn (🥇42 · ⭐ 13K) - Statistical data visualization in Python. BSD-3

- [GitHub](https://github.com/mwaskom/seaborn) (👨‍💻 220 · 🔀 2K · 📥 500 · 📦 690K · 📋 2.6K - 6% open · ⏱️ 10.07.2025):

git clone https://github.com/mwaskom/seaborn

- [PyPi](https://pypi.org/project/seaborn) (📥 25M / month · 📦 11K · ⏱️ 25.01.2024):

pip install seaborn

- [Conda](https://anaconda.org/conda-forge/seaborn) (📥 14M · ⏱️ 22.04.2025):

conda install -c conda-forge seaborn

Altair (🥇40 · ⭐ 9.9K) - Declarative visualization library for Python. BSD-3

- [GitHub](https://github.com/vega/altair) (👨‍💻 180 · 🔀 800 · 📥 260 · 📦 240K · 📋 2.1K - 6% open · ⏱️ 23.05.2025):

git clone https://github.com/altair-viz/altair

- [PyPi](https://pypi.org/project/altair) (📥 30M / month · 📦 920 · ⏱️ 23.11.2024):

pip install altair

- [Conda](https://anaconda.org/conda-forge/altair) (📥 2.8M · ⏱️ 22.04.2025):

conda install -c conda-forge altair

FiftyOne (🥈39 · ⭐ 9.7K) - Visualize, create, and debug image and video datasets.. Apache-2

- [GitHub](https://github.com/voxel51/fiftyone) (👨‍💻 160 · 🔀 650 · 📦 1K · 📋 1.7K - 34% open · ⏱️ 07.07.2025):

git clone https://github.com/voxel51/fiftyone

- [PyPi](https://pypi.org/project/fiftyone) (📥 110K / month · 📦 31 · ⏱️ 01.07.2025):

pip install fiftyone

HoloViews (🥈39 · ⭐ 2.8K) - With Holoviews, your data visualizes itself. BSD-3

- [GitHub](https://github.com/holoviz/holoviews) (👨‍💻 150 · 🔀 410 · 📦 16K · 📋 3.4K - 31% open · ⏱️ 03.07.2025):

git clone https://github.com/holoviz/holoviews

- [PyPi](https://pypi.org/project/holoviews) (📥 770K / month · 📦 440 · ⏱️ 25.06.2025):

pip install holoviews

- [Conda](https://anaconda.org/conda-forge/holoviews) (📥 2.1M · ⏱️ 25.06.2025):

conda install -c conda-forge holoviews

- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (📥 320 / month · 📦 7 · ⏱️ 20.06.2025):

npm install @pyviz/jupyterlab_pyviz

PyVista (🥈38 · ⭐ 3.2K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT

- [GitHub](https://github.com/pyvista/pyvista) (👨‍💻 180 · 🔀 570 · 📥 930 · 📦 5.1K · 📋 1.9K - 35% open · ⏱️ 10.07.2025):

git clone https://github.com/pyvista/pyvista

- [PyPi](https://pypi.org/project/pyvista) (📥 550K / month · 📦 710 · ⏱️ 13.05.2025):

pip install pyvista

- [Conda](https://anaconda.org/conda-forge/pyvista) (📥 720K · ⏱️ 13.05.2025):

conda install -c conda-forge pyvista

PyQtGraph (🥈37 · ⭐ 4.1K) - Fast data visualization and GUI tools for scientific / engineering.. MIT

- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (👨‍💻 300 · 🔀 1.1K · 📦 13K · 📋 1.4K - 32% open · ⏱️ 27.06.2025):

git clone https://github.com/pyqtgraph/pyqtgraph

- [PyPi](https://pypi.org/project/pyqtgraph) (📥 440K / month · 📦 1K · ⏱️ 29.04.2024):

pip install pyqtgraph

- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (📥 760K · ⏱️ 22.04.2025):

conda install -c conda-forge pyqtgraph

Graphviz (🥈37 · ⭐ 1.7K) - Simple Python interface for Graphviz. MIT

- [GitHub](https://github.com/xflr6/graphviz) (👨‍💻 24 · 🔀 220 · 📦 93K · 📋 190 - 6% open · ⏱️ 15.06.2025):

git clone https://github.com/xflr6/graphviz

- [PyPi](https://pypi.org/project/graphviz) (📥 23M / month · 📦 3.2K · ⏱️ 15.06.2025):

pip install graphviz

- [Conda](https://anaconda.org/anaconda/python-graphviz) (📥 56K · ⏱️ 22.04.2025):

conda install -c anaconda python-graphviz

pandas-profiling (🥈36 · ⭐ 13K) - 1 Line of code data quality profiling & exploratory.. MIT

- [GitHub](https://github.com/ydataai/ydata-profiling) (👨‍💻 140 · 🔀 1.7K · 📥 390 · 📦 6.8K · 📋 840 - 30% open · ⏱️ 26.03.2025):

git clone https://github.com/ydataai/pandas-profiling

- [PyPi](https://pypi.org/project/pandas-profiling) (📥 360K / month · 📦 180 · ⏱️ 03.02.2023):

pip install pandas-profiling

- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (📥 530K · ⏱️ 22.04.2025):

conda install -c conda-forge pandas-profiling

plotnine (🥈36 · ⭐ 4.3K) - A Grammar of Graphics for Python. MIT

- [GitHub](https://github.com/has2k1/plotnine) (👨‍💻 110 · 🔀 240 · 📦 13K · 📋 730 - 10% open · ⏱️ 10.07.2025):

git clone https://github.com/has2k1/plotnine

- [PyPi](https://pypi.org/project/plotnine) (📥 2.3M / month · 📦 400 · ⏱️ 03.07.2025):

pip install plotnine

- [Conda](https://anaconda.org/conda-forge/plotnine) (📥 490K · ⏱️ 25.06.2025):

conda install -c conda-forge plotnine

pyecharts (🥈35 · ⭐ 15K) - Python Echarts Plotting Library. MIT

- [GitHub](https://github.com/pyecharts/pyecharts) (👨‍💻 45 · 🔀 2.9K · 📥 74 · 📦 5.5K · 📋 1.9K - 0% open · ⏱️ 26.01.2025):

git clone https://github.com/pyecharts/pyecharts

- [PyPi](https://pypi.org/project/pyecharts) (📥 290K / month · 📦 220 · ⏱️ 24.01.2025):

pip install pyecharts

VisPy (🥈35 · ⭐ 3.5K) - High-performance interactive 2D/3D data visualization library. BSD-3

- [GitHub](https://github.com/vispy/vispy) (👨‍💻 210 · 🔀 620 · 📦 2.1K · 📋 1.5K - 25% open · ⏱️ 26.06.2025):

git clone https://github.com/vispy/vispy

- [PyPi](https://pypi.org/project/vispy) (📥 220K / month · 📦 200 · ⏱️ 19.05.2025):

pip install vispy

- [Conda](https://anaconda.org/conda-forge/vispy) (📥 850K · ⏱️ 19.05.2025):

conda install -c conda-forge vispy

- [npm](https://www.npmjs.com/package/vispy) (📥 20 / month · 📦 3 · ⏱️ 15.03.2020):

npm install vispy

Perspective (🥈34 · ⭐ 9.2K) - A data visualization and analytics component, especially.. Apache-2

- [GitHub](https://github.com/finos/perspective) (👨‍💻 100 · 🔀 1.2K · 📥 13K · 📦 180 · 📋 890 - 12% open · ⏱️ 08.07.2025):

git clone https://github.com/finos/perspective

- [PyPi](https://pypi.org/project/perspective-python) (📥 13K / month · 📦 30 · ⏱️ 09.07.2025):

pip install perspective-python

- [Conda](https://anaconda.org/conda-forge/perspective) (📥 2.2M · ⏱️ 10.07.2025):

conda install -c conda-forge perspective

- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (📥 600 / month · 📦 6 · ⏱️ 09.07.2025):

npm install @finos/perspective-jupyterlab

lets-plot (🥈34 · ⭐ 1.7K) - Multiplatform plotting library based on the Grammar of Graphics. MIT

- [GitHub](https://github.com/JetBrains/lets-plot) (👨‍💻 21 · 🔀 53 · 📥 3.3K · 📦 190 · 📋 700 - 24% open · ⏱️ 10.07.2025):

git clone https://github.com/JetBrains/lets-plot

- [PyPi](https://pypi.org/project/lets-plot) (📥 140K / month · 📦 15 · ⏱️ 28.03.2025):

pip install lets-plot

cartopy (🥈34 · ⭐ 1.5K) - Cartopy - a cartographic python library with matplotlib support. BSD-3

- [GitHub](https://github.com/SciTools/cartopy) (👨‍💻 140 · 🔀 380 · 📦 7.9K · 📋 1.3K - 23% open · ⏱️ 08.07.2025):

git clone https://github.com/SciTools/cartopy

- [PyPi](https://pypi.org/project/cartopy) (📥 610K / month · 📦 720 · ⏱️ 08.10.2024):

pip install cartopy

- [Conda](https://anaconda.org/conda-forge/cartopy) (📥 5M · ⏱️ 22.04.2025):

conda install -c conda-forge cartopy

UMAP (🥈33 · ⭐ 7.8K) - Uniform Manifold Approximation and Projection. BSD-3

- [GitHub](https://github.com/lmcinnes/umap) (👨‍💻 140 · 🔀 840 · 📦 1 · 📋 850 - 59% open · ⏱️ 02.07.2025):

git clone https://github.com/lmcinnes/umap

- [PyPi](https://pypi.org/project/umap-learn) (📥 1.7M / month · 📦 1.3K · ⏱️ 03.07.2025):

pip install umap-learn

- [Conda](https://anaconda.org/conda-forge/umap-learn) (📥 3.1M · ⏱️ 03.07.2025):

conda install -c conda-forge umap-learn

datashader (🥈33 · ⭐ 3.4K · 📉) - Quickly and accurately render even the largest data. BSD-3

- [GitHub](https://github.com/holoviz/datashader) (👨‍💻 62 · 🔀 370 · 📦 6.2K · 📋 600 - 23% open · ⏱️ 10.07.2025):

git clone https://github.com/holoviz/datashader

- [PyPi](https://pypi.org/project/datashader) (📥 220K / month · 📦 250 · ⏱️ 08.05.2025):

pip install datashader

- [Conda](https://anaconda.org/conda-forge/datashader) (📥 1.5M · ⏱️ 08.05.2025):

conda install -c conda-forge datashader

hvPlot (🥈32 · ⭐ 1.2K) - A high-level plotting API for pandas, dask, xarray, and networkx built.. BSD-3

- [GitHub](https://github.com/holoviz/hvplot) (👨‍💻 51 · 🔀 110 · 📦 7.2K · 📋 910 - 41% open · ⏱️ 25.06.2025):

git clone https://github.com/holoviz/hvplot

- [PyPi](https://pypi.org/project/hvplot) (📥 410K / month · 📦 240 · ⏱️ 30.04.2025):

pip install hvplot

- [Conda](https://anaconda.org/conda-forge/hvplot) (📥 800K · ⏱️ 01.05.2025):

conda install -c conda-forge hvplot

wordcloud (🥈31 · ⭐ 10K) - A little word cloud generator in Python. MIT

- [GitHub](https://github.com/amueller/word_cloud) (👨‍💻 73 · 🔀 2.3K · 📦 21 · 📋 560 - 24% open · ⏱️ 12.04.2025):

git clone https://github.com/amueller/word_cloud

- [PyPi](https://pypi.org/project/wordcloud) (📥 1.8M / month · 📦 550 · ⏱️ 10.11.2024):

pip install wordcloud

- [Conda](https://anaconda.org/conda-forge/wordcloud) (📥 690K · ⏱️ 22.04.2025):

conda install -c conda-forge wordcloud

bqplot (🥉30 · ⭐ 3.7K · 💤) - Plotting library for IPython/Jupyter notebooks. Apache-2

- [GitHub](https://github.com/bqplot/bqplot) (👨‍💻 65 · 🔀 470 · 📦 61 · 📋 640 - 42% open · ⏱️ 22.10.2024):

git clone https://github.com/bqplot/bqplot

- [PyPi](https://pypi.org/project/bqplot) (📥 230K / month · 📦 110 · ⏱️ 21.05.2025):

pip install bqplot

- [Conda](https://anaconda.org/conda-forge/bqplot) (📥 1.7M · ⏱️ 22.04.2025):

conda install -c conda-forge bqplot

- [npm](https://www.npmjs.com/package/bqplot) (📥 1.4K / month · 📦 21 · ⏱️ 24.12.2024):

npm install bqplot

mpld3 (🥉30 · ⭐ 2.4K) - An interactive data visualization tool which brings matplotlib graphics to.. BSD-3

- [GitHub](https://github.com/mpld3/mpld3) (👨‍💻 54 · 🔀 360 · 📦 7.5K · 📋 370 - 59% open · ⏱️ 03.05.2025):

git clone https://github.com/mpld3/mpld3

- [PyPi](https://pypi.org/project/mpld3) (📥 400K / month · 📦 150 · ⏱️ 23.12.2023):

pip install mpld3

- [Conda](https://anaconda.org/conda-forge/mpld3) (📥 240K · ⏱️ 22.04.2025):

conda install -c conda-forge mpld3

- [npm](https://www.npmjs.com/package/mpld3) (📥 1.6K / month · 📦 9 · ⏱️ 23.12.2023):

npm install mpld3

D-Tale (🥉29 · ⭐ 4.9K) - Visualizer for pandas data structures. ❗️LGPL-2.1

- [GitHub](https://github.com/man-group/dtale) (👨‍💻 31 · 🔀 420 · 📦 1.5K · 📋 610 - 11% open · ⏱️ 30.06.2025):

git clone https://github.com/man-group/dtale

- [PyPi](https://pypi.org/project/dtale) (📥 150K / month · 📦 53 · ⏱️ 20.03.2025):

pip install dtale

- [Conda](https://anaconda.org/conda-forge/dtale) (📥 450K · ⏱️ 22.04.2025):

conda install -c conda-forge dtale

HyperTools (🥉28 · ⭐ 1.8K · 📈) - A Python toolbox for gaining geometric insights into high-.. MIT

- [GitHub](https://github.com/ContextLab/hypertools) (👨‍💻 23 · 🔀 160 · 📥 71 · 📦 510 · 📋 200 - 34% open · ⏱️ 09.07.2025):

git clone https://github.com/ContextLab/hypertools

- [PyPi](https://pypi.org/project/hypertools) (📥 300 / month · 📦 2 · ⏱️ 09.07.2025):

pip install hypertools

openTSNE (🥉26 · ⭐ 1.5K) - Extensible, parallel implementations of t-SNE. BSD-3

- [GitHub](https://github.com/pavlin-policar/openTSNE) (👨‍💻 13 · 🔀 170 · 📦 1.1K · 📋 140 - 9% open · ⏱️ 27.05.2025):

git clone https://github.com/pavlin-policar/openTSNE

- [PyPi](https://pypi.org/project/opentsne) (📥 39K / month · 📦 47 · ⏱️ 13.08.2024):

pip install opentsne

- [Conda](https://anaconda.org/conda-forge/opentsne) (📥 450K · ⏱️ 22.04.2025):

conda install -c conda-forge opentsne

Plotly-Resampler (🥉26 · ⭐ 1.1K) - Visualize large time series data with plotly.py. MIT

- [GitHub](https://github.com/predict-idlab/plotly-resampler) (👨‍💻 14 · 🔀 72 · 📦 2K · 📋 190 - 32% open · ⏱️ 07.04.2025):

git clone https://github.com/predict-idlab/plotly-resampler

- [PyPi](https://pypi.org/project/plotly-resampler) (📥 540K / month · 📦 31 · ⏱️ 07.04.2025):

pip install plotly-resampler

- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (📥 120K · ⏱️ 22.04.2025):

conda install -c conda-forge plotly-resampler

data-validation (🥉26 · ⭐ 770) - Library for exploring and validating machine learning.. Apache-2

- [GitHub](https://github.com/tensorflow/data-validation) (👨‍💻 30 · 🔀 180 · 📥 990 · 📋 190 - 20% open · ⏱️ 23.06.2025):

git clone https://github.com/tensorflow/data-validation

- [PyPi](https://pypi.org/project/tensorflow-data-validation) (📥 140K / month · 📦 32 · ⏱️ 09.06.2025):

pip install tensorflow-data-validation

Chartify (🥉24 · ⭐ 3.6K · 💤) - Python library that makes it easy for data scientists to create.. Apache-2

- [GitHub](https://github.com/spotify/chartify) (👨‍💻 27 · 🔀 320 · 📦 83 · 📋 83 - 61% open · ⏱️ 16.10.2024):

git clone https://github.com/spotify/chartify

- [PyPi](https://pypi.org/project/chartify) (📥 1.1K / month · 📦 9 · ⏱️ 16.10.2024):

pip install chartify

- [Conda](https://anaconda.org/conda-forge/chartify) (📥 39K · ⏱️ 22.04.2025):

conda install -c conda-forge chartify

vega (🥉21 · ⭐ 380) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3

- [GitHub](https://github.com/vega/ipyvega) (👨‍💻 15 · 🔀 65 · 📦 4 · 📋 110 - 14% open · ⏱️ 01.01.2025):

git clone https://github.com/vega/ipyvega

- [PyPi](https://pypi.org/project/vega) (📥 21K / month · 📦 17 · ⏱️ 25.09.2024):

pip install vega

- [Conda](https://anaconda.org/conda-forge/vega) (📥 760K · ⏱️ 22.04.2025):

conda install -c conda-forge vega

vegafusion (🥉21 · ⭐ 370) - Serverside scaling for Vega and Altair visualizations. BSD-3

- [GitHub](https://github.com/vega/vegafusion) (👨‍💻 6 · 🔀 21 · 📥 13K · 📋 140 - 36% open · ⏱️ 20.06.2025):

git clone https://github.com/vegafusion/vegafusion

- [PyPi](https://pypi.org/project/vegafusion-jupyter) (📥 950 / month · 📦 2 · ⏱️ 09.05.2024):

pip install vegafusion-jupyter

- [Conda](https://anaconda.org/conda-forge/vegafusion-python-embed) (📥 460K · ⏱️ 22.04.2025):

conda install -c conda-forge vegafusion-python-embed

- [npm](https://www.npmjs.com/package/vegafusion-jupyter) (📥 270 / month · 📦 3 · ⏱️ 09.05.2024):

npm install vegafusion-jupyter

Popmon (🥉19 · ⭐ 500) - Monitor the stability of a Pandas or Spark dataframe. MIT

- [GitHub](https://github.com/ing-bank/popmon) (👨‍💻 19 · 🔀 36 · 📥 260 · 📦 22 · 📋 57 - 28% open · ⏱️ 24.01.2025):

git clone https://github.com/ing-bank/popmon

- [PyPi](https://pypi.org/project/popmon) (📥 2.9K / month · 📦 4 · ⏱️ 24.01.2025):

pip install popmon

animatplot (🥉18 · ⭐ 420 · 💤) - A python package for animating plots build on matplotlib. MIT

- [GitHub](https://github.com/t-makaro/animatplot) (👨‍💻 6 · 🔀 38 · 📦 77 · 📋 37 - 45% open · ⏱️ 29.08.2024):

git clone https://github.com/t-makaro/animatplot

- [PyPi](https://pypi.org/project/animatplot) (📥 120 / month · 📦 4 · ⏱️ 29.08.2024):

pip install animatplot

- [Conda](https://anaconda.org/conda-forge/animatplot) (📥 18K · ⏱️ 22.04.2025):

conda install -c conda-forge animatplot

ivis (🥉18 · ⭐ 340 · 💤) - Dimensionality reduction in very large datasets using Siamese.. Apache-2

- [GitHub](https://github.com/beringresearch/ivis) (👨‍💻 10 · 🔀 45 · 📦 38 · 📋 60 - 5% open · ⏱️ 29.09.2024):

git clone https://github.com/beringresearch/ivis

- [PyPi](https://pypi.org/project/ivis) (📥 800 / month · 📦 2 · ⏱️ 13.06.2024):

pip install ivis

Show 20 hidden projects...

- missingno (🥉29 · ⭐ 4.1K · 💀) - Missing data visualization module for Python. MIT - Cufflinks (🥉28 · ⭐ 3.1K · 💀) - Productivity Tools for Plotly + Pandas. MIT - Facets Overview (🥉27 · ⭐ 7.4K · 💀) - Visualizations for machine learning datasets. Apache-2 - pythreejs (🥉27 · ⭐ 970 · 💀) - A Jupyter - Three.js bridge. BSD-3 - Sweetviz (🥉26 · ⭐ 3K · 💀) - Visualize and compare datasets, target values and associations, with.. MIT - AutoViz (🥉26 · ⭐ 1.8K · 💀) - Automatically Visualize any dataset, any size with a single line.. Apache-2 - PandasGUI (🥉24 · ⭐ 3.2K) - A GUI for Pandas DataFrames. ❗️MIT-0 - HiPlot (🥉24 · ⭐ 2.8K · 💀) - HiPlot makes understanding high dimensional data easy. MIT - python-ternary (🥉24 · ⭐ 770 · 💀) - Ternary plotting library for python with matplotlib. MIT - Multicore-TSNE (🥉23 · ⭐ 1.9K · 💀) - Parallel t-SNE implementation with Python and Torch.. BSD-3 - ridgeplot (🥉23 · ⭐ 230) - Beautiful ridgeline plots in Python. MIT - Pandas-Bokeh (🥉22 · ⭐ 890 · 💀) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT - pivottablejs (🥉21 · ⭐ 700 · 💀) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT - PyWaffle (🥉21 · ⭐ 600 · 💀) - Make Waffle Charts in Python. MIT - joypy (🥉21 · ⭐ 600 · 💀) - Joyplots in Python with matplotlib & pandas. MIT - PDPbox (🥉20 · ⭐ 860 · 💀) - python partial dependence plot toolbox. MIT - pdvega (🥉15 · ⭐ 340 · 💀) - Interactive plotting for Pandas using Vega-Lite. MIT - data-describe (🥉15 · ⭐ 300 · 💀) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2 - nx-altair (🥉15 · ⭐ 220 · 💀) - Draw interactive NetworkX graphs with Altair. MIT - nptsne (🥉11 · ⭐ 33 · 💀) - nptsne is a numpy compatible python binary package that offers a.. Apache-2

Text Data & NLP

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 (🥇54 · ⭐ 150K) - Transformers: the model-definition framework for.. Apache-2

- [GitHub](https://github.com/huggingface/transformers) (👨‍💻 3.4K · 🔀 30K · 📦 400K · 📋 18K - 10% open · ⏱️ 10.07.2025):

git clone https://github.com/huggingface/transformers

- [PyPi](https://pypi.org/project/transformers) (📥 66M / month · 📦 9.3K · ⏱️ 04.07.2025):

pip install transformers

- [Conda](https://anaconda.org/conda-forge/transformers) (📥 3M · ⏱️ 04.07.2025):

conda install -c conda-forge transformers

nltk (🥇45 · ⭐ 14K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2

- [GitHub](https://github.com/nltk/nltk) (👨‍💻 470 · 🔀 2.9K · 📦 410K · 📋 1.9K - 14% open · ⏱️ 06.07.2025):

git clone https://github.com/nltk/nltk

- [PyPi](https://pypi.org/project/nltk) (📥 31M / month · 📦 5.8K · ⏱️ 18.08.2024):

pip install nltk

- [Conda](https://anaconda.org/conda-forge/nltk) (📥 3.2M · ⏱️ 22.04.2025):

conda install -c conda-forge nltk

spaCy (🥇44 · ⭐ 32K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT

- [GitHub](https://github.com/explosion/spaCy) (👨‍💻 770 · 🔀 4.5K · 📥 3.2K · 📦 140K · 📋 5.7K - 3% open · ⏱️ 28.05.2025):

git clone https://github.com/explosion/spaCy

- [PyPi](https://pypi.org/project/spacy) (📥 12M / month · 📦 3.2K · ⏱️ 23.05.2025):

pip install spacy

- [Conda](https://anaconda.org/conda-forge/spacy) (📥 5.9M · ⏱️ 06.07.2025):

conda install -c conda-forge spacy

litellm (🥇44 · ⭐ 25K · 📈) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s

- [GitHub](https://github.com/BerriAI/litellm) (👨‍💻 660 · 🔀 3.4K · 📥 710 · 📦 16K · 📋 6.4K - 20% open · ⏱️ 10.07.2025):

git clone https://github.com/BerriAI/litellm

- [PyPi](https://pypi.org/project/litellm) (📥 11M / month · 📦 1.4K · ⏱️ 07.07.2025):

pip install litellm

sentence-transformers (🥇44 · ⭐ 17K) - State-of-the-Art Text Embeddings. Apache-2

- [GitHub](https://github.com/UKPLab/sentence-transformers) (👨‍💻 230 · 🔀 2.6K · 📦 120K · 📋 2.4K - 52% open · ⏱️ 10.07.2025):

git clone https://github.com/UKPLab/sentence-transformers

- [PyPi](https://pypi.org/project/sentence-transformers) (📥 10M / month · 📦 2.9K · ⏱️ 01.07.2025):

pip install sentence-transformers

- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (📥 780K · ⏱️ 01.07.2025):

conda install -c conda-forge sentence-transformers

Tokenizers (🥇40 · ⭐ 9.9K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2

- [GitHub](https://github.com/huggingface/tokenizers) (👨‍💻 120 · 🔀 930 · 📥 86 · 📦 180K · 📋 1.1K - 8% open · ⏱️ 04.07.2025):

git clone https://github.com/huggingface/tokenizers

- [PyPi](https://pypi.org/project/tokenizers) (📥 52M / month · 📦 1.5K · ⏱️ 04.07.2025):

pip install tokenizers

- [Conda](https://anaconda.org/conda-forge/tokenizers) (📥 3.2M · ⏱️ 04.07.2025):

conda install -c conda-forge tokenizers

gensim (🥇39 · ⭐ 16K) - Topic Modelling for Humans. ❗️LGPL-2.1

- [GitHub](https://github.com/piskvorky/gensim) (👨‍💻 460 · 🔀 4.4K · 📥 6.1K · 📦 77K · 📋 1.9K - 21% open · ⏱️ 10.06.2025):

git clone https://github.com/RaRe-Technologies/gensim

- [PyPi](https://pypi.org/project/gensim) (📥 4.8M / month · 📦 1.4K · ⏱️ 19.07.2024):

pip install gensim

- [Conda](https://anaconda.org/conda-forge/gensim) (📥 1.6M · ⏱️ 22.04.2025):

conda install -c conda-forge gensim

flair (🥇39 · ⭐ 14K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT

- [GitHub](https://github.com/flairNLP/flair) (👨‍💻 280 · 🔀 2.1K · 📦 4K · 📋 2.4K - 3% open · ⏱️ 12.06.2025):

git clone https://github.com/flairNLP/flair

- [PyPi](https://pypi.org/project/flair) (📥 140K / month · 📦 150 · ⏱️ 05.02.2025):

pip install flair

- [Conda](https://anaconda.org/conda-forge/python-flair) (📥 45K · ⏱️ 22.04.2025):

conda install -c conda-forge python-flair

Rasa (🥇38 · ⭐ 20K) - Open source machine learning framework to automate text- and voice-.. Apache-2

- [GitHub](https://github.com/RasaHQ/rasa) (👨‍💻 600 · 🔀 4.8K · 📦 5.4K · 📋 6.8K - 2% open · ⏱️ 14.01.2025):

git clone https://github.com/RasaHQ/rasa

- [PyPi](https://pypi.org/project/rasa) (📥 120K / month · 📦 60 · ⏱️ 14.01.2025):

pip install rasa

NeMo (🥇38 · ⭐ 15K) - A scalable generative AI framework built for researchers and.. Apache-2

- [GitHub](https://github.com/NVIDIA/NeMo) (👨‍💻 430 · 🔀 3K · 📥 430K · 📦 21 · 📋 2.7K - 5% open · ⏱️ 10.07.2025):

git clone https://github.com/NVIDIA/NeMo

- [PyPi](https://pypi.org/project/nemo-toolkit) (📥 310K / month · 📦 14 · ⏱️ 09.07.2025):

pip install nemo-toolkit

haystack (🥇37 · ⭐ 21K) - AI orchestration framework to build customizable, production-ready.. Apache-2

- [GitHub](https://github.com/deepset-ai/haystack) (👨‍💻 290 · 🔀 2.2K · 📦 1.2K · 📋 4K - 3% open · ⏱️ 09.07.2025):

git clone https://github.com/deepset-ai/haystack

- [PyPi](https://pypi.org/project/haystack) (📥 6.2K / month · 📦 5 · ⏱️ 15.12.2021):

pip install haystack

sentencepiece (🥇37 · ⭐ 11K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2

- [GitHub](https://github.com/google/sentencepiece) (👨‍💻 92 · 🔀 1.2K · 📥 66K · 📦 120K · 📋 780 - 7% open · ⏱️ 26.02.2025):

git clone https://github.com/google/sentencepiece

- [PyPi](https://pypi.org/project/sentencepiece) (📥 23M / month · 📦 1.7K · ⏱️ 19.02.2024):

pip install sentencepiece

- [Conda](https://anaconda.org/conda-forge/sentencepiece) (📥 1.6M · ⏱️ 06.07.2025):

conda install -c conda-forge sentencepiece

fairseq (🥈36 · ⭐ 32K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT

- [GitHub](https://github.com/facebookresearch/fairseq) (👨‍💻 430 · 🔀 6.5K · 📥 420 · 📦 4.3K · 📋 4.4K - 30% open · ⏱️ 10.06.2025):

git clone https://github.com/facebookresearch/fairseq

- [PyPi](https://pypi.org/project/fairseq) (📥 74K / month · 📦 120 · ⏱️ 27.06.2022):

pip install fairseq

- [Conda](https://anaconda.org/conda-forge/fairseq) (📥 150K · ⏱️ 30.05.2025):

conda install -c conda-forge fairseq

ChatterBot (🥈36 · ⭐ 14K · 📉) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3

- [GitHub](https://github.com/gunthercox/ChatterBot) (👨‍💻 110 · 🔀 4.5K · 📦 6.5K · 📋 1.7K - 8% open · ⏱️ 01.07.2025):

git clone https://github.com/gunthercox/ChatterBot

- [PyPi](https://pypi.org/project/chatterbot) (📥 17K / month · 📦 19 · ⏱️ 01.07.2025):

pip install chatterbot

TextBlob (🥈36 · ⭐ 9.4K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT

- [GitHub](https://github.com/sloria/TextBlob) (👨‍💻 37 · 🔀 1.2K · 📥 130 · 📦 60K · 📋 280 - 25% open · ⏱️ 09.06.2025):

git clone https://github.com/sloria/TextBlob

- [PyPi](https://pypi.org/project/textblob) (📥 1.3M / month · 📦 400 · ⏱️ 13.01.2025):

pip install textblob

- [Conda](https://anaconda.org/conda-forge/textblob) (📥 290K · ⏱️ 22.04.2025):

conda install -c conda-forge textblob

spark-nlp (🥈36 · ⭐ 4K) - State of the Art Natural Language Processing. Apache-2

- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (👨‍💻 120 · 🔀 730 · 📦 610 · 📋 910 - 2% open · ⏱️ 10.07.2025):

git clone https://github.com/JohnSnowLabs/spark-nlp

- [PyPi](https://pypi.org/project/spark-nlp) (📥 3.5M / month · 📦 37 · ⏱️ 09.07.2025):

pip install spark-nlp

qdrant (🥈35 · ⭐ 25K) - Qdrant - High-performance, massive-scale Vector Database and Vector.. Apache-2

- [GitHub](https://github.com/qdrant/qdrant) (👨‍💻 130 · 🔀 1.7K · 📥 430K · 📦 120 · 📋 1.5K - 22% open · ⏱️ 23.05.2025):

git clone https://github.com/qdrant/qdrant

snowballstemmer (🥈35 · ⭐ 800) - Snowball compiler and stemming algorithms. BSD-3

- [GitHub](https://github.com/snowballstem/snowball) (👨‍💻 37 · 🔀 180 · 📦 11 · 📋 110 - 14% open · ⏱️ 10.07.2025):

git clone https://github.com/snowballstem/snowball

- [PyPi](https://pypi.org/project/snowballstemmer) (📥 26M / month · 📦 550 · ⏱️ 09.05.2025):

pip install snowballstemmer

- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (📥 10M · ⏱️ 20.05.2025):

conda install -c conda-forge snowballstemmer

TensorFlow Text (🥈34 · ⭐ 1.3K) - Making text a first-class citizen in TensorFlow. Apache-2

- [GitHub](https://github.com/tensorflow/text) (👨‍💻 190 · 🔀 350 · 📦 9.9K · 📋 370 - 53% open · ⏱️ 02.07.2025):

git clone https://github.com/tensorflow/text

- [PyPi](https://pypi.org/project/tensorflow-text) (📥 8.2M / month · 📦 230 · ⏱️ 04.04.2025):

pip install tensorflow-text

Opik (🥈33 · ⭐ 11K) - Debug, evaluate, and monitor your LLM applications, RAG systems, and.. Apache-2

- [GitHub](https://github.com/comet-ml/opik) (👨‍💻 63 · 🔀 760 · 📥 12 · 📦 10 · 📋 380 - 31% open · ⏱️ 10.07.2025):

git clone https://github.com/comet-ml/opik

- [PyPi](https://pypi.org/project/opik) (📥 310K / month · 📦 17 · ⏱️ 09.07.2025):

pip install opik

torchtext (🥈33 · ⭐ 3.5K) - Models, data loaders and abstractions for language processing,.. BSD-3

- [GitHub](https://github.com/pytorch/text) (👨‍💻 160 · 🔀 810 · 📋 850 - 38% open · ⏱️ 24.02.2025):

git clone https://github.com/pytorch/text

- [PyPi](https://pypi.org/project/torchtext) (📥 680K / month · 📦 280 · ⏱️ 24.04.2024):

pip install torchtext

stanza (🥈32 · ⭐ 7.5K · 💤) - Stanford NLP Python library for tokenization, sentence.. Apache-2

- [GitHub](https://github.com/stanfordnlp/stanza) (👨‍💻 68 · 🔀 900 · 📦 4K · 📋 940 - 10% open · ⏱️ 24.12.2024):

git clone https://github.com/stanfordnlp/stanza

- [PyPi](https://pypi.org/project/stanza) (📥 430K / month · 📦 200 · ⏱️ 24.12.2024):

pip install stanza

- [Conda](https://anaconda.org/stanfordnlp/stanza) (📥 8.7K · ⏱️ 25.03.2025):

conda install -c stanfordnlp stanza

DeepPavlov (🥈31 · ⭐ 6.9K · 💤) - An open source library for deep learning end-to-end.. Apache-2

- [GitHub](https://github.com/deeppavlov/DeepPavlov) (👨‍💻 78 · 🔀 1.2K · 📦 440 · 📋 640 - 4% open · ⏱️ 26.11.2024):

git clone https://github.com/deepmipt/DeepPavlov

- [PyPi](https://pypi.org/project/deeppavlov) (📥 9.3K / month · 📦 4 · ⏱️ 12.08.2024):

pip install deeppavlov

ftfy (🥈31 · ⭐ 3.9K · 💤) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2

- [GitHub](https://github.com/rspeer/python-ftfy) (👨‍💻 22 · 🔀 120 · 📥 84 · 📦 32K · 📋 150 - 6% open · ⏱️ 30.10.2024):

git clone https://github.com/rspeer/python-ftfy

- [PyPi](https://pypi.org/project/ftfy) (📥 6.3M / month · 📦 570 · ⏱️ 26.10.2024):

pip install ftfy

- [Conda](https://anaconda.org/conda-forge/ftfy) (📥 330K · ⏱️ 22.04.2025):

conda install -c conda-forge ftfy

jellyfish (🥈31 · ⭐ 2.1K) - a python library for doing approximate and phonetic matching of strings. MIT

- [GitHub](https://github.com/jamesturk/jellyfish) (👨‍💻 35 · 🔀 160 · 📦 15K · ⏱️ 17.06.2025):

git clone https://github.com/jamesturk/jellyfish

- [PyPi](https://pypi.org/project/jellyfish) (📥 7.9M / month · 📦 300 · ⏱️ 31.03.2025):

pip install jellyfish

- [Conda](https://anaconda.org/conda-forge/jellyfish) (📥 1.5M · ⏱️ 22.04.2025):

conda install -c conda-forge jellyfish

rubrix (🥈30 · ⭐ 4.6K) - Argilla is a collaboration tool for AI engineers and domain experts.. Apache-2

- [GitHub](https://github.com/argilla-io/argilla) (👨‍💻 110 · 🔀 440 · 📦 3K · 📋 2.2K - 0% open · ⏱️ 08.07.2025):

git clone https://github.com/recognai/rubrix

- [PyPi](https://pypi.org/project/rubrix) (📥 1.2K / month · ⏱️ 24.10.2022):

pip install rubrix

- [Conda](https://anaconda.org/conda-forge/rubrix) (📥 48K · ⏱️ 22.04.2025):

conda install -c conda-forge rubrix

Dedupe (🥈28 · ⭐ 4.3K · 💤) - A python library for accurate and scalable fuzzy matching, record.. MIT

- [GitHub](https://github.com/dedupeio/dedupe) (👨‍💻 72 · 🔀 550 · 📦 360 · 📋 820 - 9% open · ⏱️ 01.11.2024):

git clone https://github.com/dedupeio/dedupe

- [PyPi](https://pypi.org/project/dedupe) (📥 56K / month · 📦 19 · ⏱️ 15.08.2024):

pip install dedupe

- [Conda](https://anaconda.org/conda-forge/dedupe) (📥 120K · ⏱️ 22.04.2025):

conda install -c conda-forge dedupe

SciSpacy (🥈28 · ⭐ 1.8K · 💤) - A full spaCy pipeline and models for scientific/biomedical.. Apache-2

- [GitHub](https://github.com/allenai/scispacy) (👨‍💻 37 · 🔀 240 · 📦 1.3K · 📋 330 - 10% open · ⏱️ 23.11.2024):

git clone https://github.com/allenai/scispacy

- [PyPi](https://pypi.org/project/scispacy) (📥 36K / month · 📦 34 · ⏱️ 27.10.2024):

pip install scispacy

spacy-transformers (🥈28 · ⭐ 1.4K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy

- [GitHub](https://github.com/explosion/spacy-transformers) (👨‍💻 23 · 🔀 170 · 📥 370 · 📦 2.3K · ⏱️ 26.05.2025):

git clone https://github.com/explosion/spacy-transformers

- [PyPi](https://pypi.org/project/spacy-transformers) (📥 200K / month · 📦 110 · ⏱️ 26.05.2025):

pip install spacy-transformers

- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (📥 130K · ⏱️ 22.04.2025):

conda install -c conda-forge spacy-transformers

CLTK (🥈28 · ⭐ 860) - The Classical Language Toolkit. MIT

- [GitHub](https://github.com/cltk/cltk) (👨‍💻 120 · 🔀 340 · 📥 140 · 📦 300 · 📋 580 - 6% open · ⏱️ 04.05.2025):

git clone https://github.com/cltk/cltk

- [PyPi](https://pypi.org/project/cltk) (📥 1.6K / month · 📦 17 · ⏱️ 04.05.2025):

pip install cltk

english-words (🥈27 · ⭐ 11K) - A text file containing 479k English words for all your.. Unlicense

- [GitHub](https://github.com/dwyl/english-words) (👨‍💻 34 · 🔀 1.9K · 📦 2 · 📋 160 - 75% open · ⏱️ 06.01.2025):

git clone https://github.com/dwyl/english-words

- [PyPi](https://pypi.org/project/english-words) (📥 65K / month · 📦 14 · ⏱️ 24.05.2023):

pip install english-words

TextDistance (🥈27 · ⭐ 3.5K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT

- [GitHub](https://github.com/life4/textdistance) (👨‍💻 18 · 🔀 250 · 📥 1.1K · 📦 8.7K · ⏱️ 18.04.2025):

git clone https://github.com/life4/textdistance

- [PyPi](https://pypi.org/project/textdistance) (📥 1.1M / month · 📦 99 · ⏱️ 16.07.2024):

pip install textdistance

- [Conda](https://anaconda.org/conda-forge/textdistance) (📥 870K · ⏱️ 22.04.2025):

conda install -c conda-forge textdistance

DeepKE (🥉25 · ⭐ 4K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. MIT

- [GitHub](https://github.com/zjunlp/DeepKE) (👨‍💻 32 · 🔀 720 · 📦 25 · 📋 610 - 0% open · ⏱️ 21.06.2025):

git clone https://github.com/zjunlp/deepke

- [PyPi](https://pypi.org/project/deepke) (📥 660 / month · ⏱️ 21.09.2023):

pip install deepke

detoxify (🥉25 · ⭐ 1.1K) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2

- [GitHub](https://github.com/unitaryai/detoxify) (👨‍💻 14 · 🔀 130 · 📥 1.3M · 📦 950 · 📋 67 - 55% open · ⏱️ 07.03.2025):

git clone https://github.com/unitaryai/detoxify

- [PyPi](https://pypi.org/project/detoxify) (📥 61K / month · 📦 30 · ⏱️ 01.02.2024):

pip install detoxify

scattertext (🥉24 · ⭐ 2.3K) - Beautiful visualizations of how language differs among document.. Apache-2

- [GitHub](https://github.com/JasonKessler/scattertext) (👨‍💻 14 · 🔀 290 · 📦 670 · 📋 100 - 22% open · ⏱️ 29.04.2025):

git clone https://github.com/JasonKessler/scattertext

- [PyPi](https://pypi.org/project/scattertext) (📥 8.4K / month · 📦 5 · ⏱️ 23.09.2024):

pip install scattertext

- [Conda](https://anaconda.org/conda-forge/scattertext) (📥 120K · ⏱️ 22.04.2025):

conda install -c conda-forge scattertext

sense2vec (🥉23 · ⭐ 1.7K) - Contextually-keyed word vectors. MIT

- [GitHub](https://github.com/explosion/sense2vec) (👨‍💻 20 · 🔀 240 · 📥 72K · 📦 470 · 📋 120 - 20% open · ⏱️ 23.04.2025):

git clone https://github.com/explosion/sense2vec

- [PyPi](https://pypi.org/project/sense2vec) (📥 2.4K / month · 📦 13 · ⏱️ 19.04.2021):

pip install sense2vec

- [Conda](https://anaconda.org/conda-forge/sense2vec) (📥 63K · ⏱️ 22.04.2025):

conda install -c conda-forge sense2vec

T5 (🥉22 · ⭐ 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) (👨‍💻 61 · 🔀 780 · 📋 450 - 23% open · ⏱️ 28.04.2025):

git clone https://github.com/google-research/text-to-text-transfer-transformer

- [PyPi](https://pypi.org/project/t5) (📥 33K / month · 📦 2 · ⏱️ 18.10.2021):

pip install t5

happy-transformer (🥉22 · ⭐ 540) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface

- [GitHub](https://github.com/EricFillion/happy-transformer) (👨‍💻 14 · 🔀 69 · 📦 330 · 📋 130 - 16% open · ⏱️ 22.03.2025):

git clone https://github.com/EricFillion/happy-transformer

- [PyPi](https://pypi.org/project/happytransformer) (📥 1.9K / month · 📦 5 · ⏱️ 05.08.2023):

pip install happytransformer

Sockeye (🥉21 · ⭐ 1.2K · 💤) - Sequence-to-sequence framework with a focus on Neural.. Apache-2

- [GitHub](https://github.com/awslabs/sockeye) (👨‍💻 60 · 🔀 320 · 📥 21 · 📋 310 - 3% open · ⏱️ 24.10.2024):

git clone https://github.com/awslabs/sockeye

- [PyPi](https://pypi.org/project/sockeye) (📥 710 / month · ⏱️ 03.03.2023):

pip install sockeye

finetune (🥉21 · ⭐ 710) - Scikit-learn style model finetuning for NLP. MPL-2.0

- [GitHub](https://github.com/IndicoDataSolutions/finetune) (👨‍💻 24 · 🔀 79 · 📦 16 · 📋 140 - 15% open · ⏱️ 20.05.2025):

git clone https://github.com/IndicoDataSolutions/finetune

- [PyPi](https://pypi.org/project/finetune) (📥 190 / month · 📦 2 · ⏱️ 29.09.2023):

pip install finetune

fast-bert (🥉20 · ⭐ 1.9K · 💤) - Super easy library for BERT based NLP models. Apache-2

- [GitHub](https://github.com/appvision-ai/fast-bert) (👨‍💻 37 · 🔀 340 · 📋 260 - 63% open · ⏱️ 19.08.2024):

git clone https://github.com/utterworks/fast-bert

- [PyPi](https://pypi.org/project/fast-bert) (📥 770 / month · ⏱️ 19.08.2024):

pip install fast-bert

UForm (🥉20 · ⭐ 1.2K) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2

- [GitHub](https://github.com/unum-cloud/uform) (👨‍💻 20 · 🔀 69 · 📥 640 · 📦 35 · 📋 39 - 41% open · ⏱️ 21.06.2025):

git clone https://github.com/unum-cloud/uform

- [PyPi](https://pypi.org/project/uform) (📥 560 / month · 📦 2 · ⏱️ 21.06.2025):

pip install uform

small-text (🥉19 · ⭐ 620) - Active Learning for Text Classification in Python. MIT

- [GitHub](https://github.com/webis-de/small-text) (👨‍💻 9 · 🔀 70 · 📦 34 · 📋 69 - 27% open · ⏱️ 06.04.2025):

git clone https://github.com/webis-de/small-text

- [PyPi](https://pypi.org/project/small-text) (📥 320 / month · ⏱️ 06.04.2025):

pip install small-text

- [Conda](https://anaconda.org/conda-forge/small-text) (📥 16K · ⏱️ 22.04.2025):

conda install -c conda-forge small-text

VizSeq (🥉16 · ⭐ 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT

- [GitHub](https://github.com/facebookresearch/vizseq) (👨‍💻 4 · 🔀 61 · 📦 13 · 📋 16 - 43% open · ⏱️ 24.06.2025):

git clone https://github.com/facebookresearch/vizseq

- [PyPi](https://pypi.org/project/vizseq) (📥 44 / month · ⏱️ 07.08.2020):

pip install vizseq

Show 59 hidden projects...

- AllenNLP (🥈36 · ⭐ 12K · 💀) - An open-source NLP research library, built on PyTorch. Apache-2 - fastText (🥈34 · ⭐ 26K · 💀) - Library for fast text representation and classification. MIT - ParlAI (🥈32 · ⭐ 11K · 💀) - A framework for training and evaluating AI models on a variety of.. MIT - OpenNMT (🥈32 · ⭐ 6.9K · 💀) - Open Source Neural Machine Translation and (Large) Language.. MIT - fuzzywuzzy (🥈31 · ⭐ 9.3K · 💀) - Fuzzy String Matching in Python. ❗️GPL-2.0 - nlpaug (🥈29 · ⭐ 4.6K · 💀) - Data augmentation for NLP. MIT - Sumy (🥈29 · ⭐ 3.6K · 💀) - Module for automatic summarization of text documents and HTML pages. Apache-2 - fastNLP (🥈28 · ⭐ 3.1K · 💀) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2 - PyTextRank (🥈28 · ⭐ 2.2K · 💀) - Python implementation of TextRank algorithms (textgraphs) for.. MIT - Ciphey (🥈27 · ⭐ 20K · 💀) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT - vaderSentiment (🥈27 · ⭐ 4.8K · 💀) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT - textacy (🥈27 · ⭐ 2.2K · 💀) - NLP, before and after spaCy. ❗Unlicensed - underthesea (🥈27 · ⭐ 1.6K) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0 - flashtext (🥉26 · ⭐ 5.7K · 💀) - Extract Keywords from sentence or Replace keywords in sentences. MIT - langid (🥉26 · ⭐ 2.4K · 💀) - Stand-alone language identification system. BSD-3 - polyglot (🥉26 · ⭐ 2.3K · 💀) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 - pySBD (🥉26 · ⭐ 860 · 💀) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT - OpenPrompt (🥉25 · ⭐ 4.7K · 💀) - An Open-Source Framework for Prompt-Learning. Apache-2 - Snips NLU (🥉25 · ⭐ 3.9K · 💀) - Snips Python library to extract meaning from text. Apache-2 - neuralcoref (🥉25 · ⭐ 2.9K · 💀) - Fast Coreference Resolution in spaCy with Neural Networks. MIT - GluonNLP (🥉25 · ⭐ 2.6K · 💀) - Toolkit that enables easy text preprocessing, datasets.. Apache-2 - pytorch-nlp (🥉25 · ⭐ 2.2K · 💀) - Basic Utilities for PyTorch Natural Language Processing.. BSD-3 - PyText (🥉24 · ⭐ 6.3K · 💀) - A natural language modeling framework based on PyTorch. BSD-3 - textgenrnn (🥉24 · ⭐ 4.9K · 💀) - Easily train your own text-generating neural network of any.. MIT - MatchZoo (🥉24 · ⭐ 3.9K · 💀) - Facilitating the design, comparison and sharing of deep.. Apache-2 - promptsource (🥉24 · ⭐ 2.9K · 💀) - Toolkit for creating, sharing and using natural language.. Apache-2 - Kashgari (🥉23 · ⭐ 2.4K · 💀) - Kashgari is a production-level NLP Transfer learning.. Apache-2 - FARM (🥉23 · ⭐ 1.8K · 💀) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 - YouTokenToMe (🥉23 · ⭐ 970 · 💀) - Unsupervised text tokenizer focused on computational efficiency. MIT - whoosh (🥉23 · ⭐ 630 · 💀) - Pure-Python full-text search library. ❗️BSD-1-Clause - gpt-2-simple (🥉22 · ⭐ 3.4K · 💀) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT - Texthero (🥉22 · ⭐ 2.9K · 💀) - Text preprocessing, representation and visualization from zero to.. MIT - Texar (🥉22 · ⭐ 2.4K · 💀) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 - jiant (🥉22 · ⭐ 1.7K · 💀) - jiant is an nlp toolkit. MIT - stop-words (🥉22 · ⭐ 160 · 💀) - Get list of common stop words in various languages in Python. BSD-3 - NLP Architect (🥉21 · ⭐ 2.9K · 💀) - A model library for exploring state-of-the-art deep.. Apache-2 - lightseq (🥉20 · ⭐ 3.3K · 💀) - LightSeq: A High Performance Library for Sequence Processing.. Apache-2 - DELTA (🥉20 · ⭐ 1.6K · 💀) - DELTA is a deep learning based natural language and speech.. Apache-2 - anaGo (🥉19 · ⭐ 1.5K · 💀) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT - textpipe (🥉19 · ⭐ 300 · 💀) - Textpipe: clean and extract metadata from text. MIT - numerizer (🥉19 · ⭐ 230 · 💤) - A Python module to convert natural language numerics into ints and.. MIT - pyfasttext (🥉19 · ⭐ 230 · 💀) - Yet another Python binding for fastText. ❗️GPL-3.0 - DeepMatcher (🥉18 · ⭐ 5.2K · 💀) - Python package for performing Entity and Text Matching using.. BSD-3 - nboost (🥉18 · ⭐ 670 · 💀) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2 - fastT5 (🥉18 · ⭐ 580 · 💀) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2 - textaugment (🥉18 · ⭐ 420 · 💀) - TextAugment: Text Augmentation Library. MIT - Camphr (🥉18 · ⭐ 340 · 💀) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy - NeuroNER (🥉17 · ⭐ 1.7K · 💀) - Named-entity recognition using neural networks. Easy-to-use and.. MIT - OpenNRE (🥉16 · ⭐ 4.4K · 💀) - An Open-Source Package for Neural Relation Extraction (NRE). MIT - TextBox (🥉16 · ⭐ 1.1K · 💀) - TextBox 2.0 is a text generation library with pre-trained language.. MIT - skift (🥉16 · ⭐ 240 · 💀) - scikit-learn wrappers for Python fastText. MIT - BLINK (🥉15 · ⭐ 1.2K · 💀) - Entity Linker solution. MIT - Translate (🥉15 · ⭐ 840 · 💀) - Translate - a PyTorch Language Library. BSD-3 - Headliner (🥉15 · ⭐ 230 · 💀) - Easy training and deployment of seq2seq models. MIT - ONNX-T5 (🥉14 · ⭐ 250 · 💀) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2 - NeuralQA (🥉14 · ⭐ 230 · 💀) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT - TransferNLP (🥉13 · ⭐ 290 · 💀) - NLP library designed for reproducible experimentation.. MIT - textvec (🥉12 · ⭐ 190 · 💀) - Text vectorization tool to outperform TFIDF for classification.. MIT - spacy-dbpedia-spotlight (🥉12 · ⭐ 110 · 💀) - A spaCy wrapper for DBpedia Spotlight. MIT spacy

Image Data

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 (🥇48 · ⭐ 13K) - Python Imaging Library (Fork). ❗️PIL

- [GitHub](https://github.com/python-pillow/Pillow) (👨‍💻 490 · 🔀 2.3K · 📦 2.4M · 📋 3.4K - 3% open · ⏱️ 10.07.2025):

git clone https://github.com/python-pillow/Pillow

- [PyPi](https://pypi.org/project/Pillow) (📥 160M / month · 📦 16K · ⏱️ 01.07.2025):

pip install Pillow

- [Conda](https://anaconda.org/conda-forge/pillow) (📥 57M · ⏱️ 02.07.2025):

conda install -c conda-forge pillow

MoviePy (🥇43 · ⭐ 14K) - Video editing with Python. MIT

- [GitHub](https://github.com/Zulko/moviepy) (👨‍💻 190 · 🔀 1.8K · 📦 66K · 📋 1.6K - 2% open · ⏱️ 08.07.2025):

git clone https://github.com/Zulko/moviepy

- [PyPi](https://pypi.org/project/moviepy) (📥 3.6M / month · 📦 1.2K · ⏱️ 21.05.2025):

pip install moviepy

- [Conda](https://anaconda.org/conda-forge/moviepy) (📥 310K · ⏱️ 22.04.2025):

conda install -c conda-forge moviepy

PyTorch Image Models (🥇42 · ⭐ 35K) - The largest collection of PyTorch image encoders /.. Apache-2

- [GitHub](https://github.com/huggingface/pytorch-image-models) (👨‍💻 180 · 🔀 4.9K · 📥 8M · 📦 60K · 📋 990 - 5% open · ⏱️ 09.07.2025):

git clone https://github.com/rwightman/pytorch-image-models

- [PyPi](https://pypi.org/project/timm) (📥 7.7M / month · 📦 1.3K · ⏱️ 26.06.2025):

pip install timm

- [Conda](https://anaconda.org/conda-forge/timm) (📥 410K · ⏱️ 22.04.2025):

conda install -c conda-forge timm

torchvision (🥇42 · ⭐ 17K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3

- [GitHub](https://github.com/pytorch/vision) (👨‍💻 650 · 🔀 7.1K · 📥 41K · 📦 21 · 📋 3.7K - 29% open · ⏱️ 09.07.2025):

git clone https://github.com/pytorch/vision

- [PyPi](https://pypi.org/project/torchvision) (📥 18M / month · 📦 7.4K · ⏱️ 04.06.2025):

pip install torchvision

- [Conda](https://anaconda.org/conda-forge/torchvision) (📥 2.8M · ⏱️ 30.05.2025):

conda install -c conda-forge torchvision

Albumentations (🥇39 · ⭐ 15K · 📉) - Fast and flexible image augmentation library. Paper.. MIT

- [GitHub](https://github.com/albumentations-team/albumentations) (👨‍💻 170 · 🔀 1.7K · 📋 1.5K - 14% open · ⏱️ 25.06.2025):

git clone https://github.com/albumentations-team/albumentations

- [PyPi](https://pypi.org/project/albumentations) (📥 4.8M / month · 📦 730 · ⏱️ 27.05.2025):

pip install albumentations

- [Conda](https://anaconda.org/conda-forge/albumentations) (📥 300K · ⏱️ 28.05.2025):

conda install -c conda-forge albumentations

deepface (🥇38 · ⭐ 20K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT

- [GitHub](https://github.com/serengil/deepface) (👨‍💻 91 · 🔀 2.6K · 📦 8.3K · 📋 1.2K - 0% open · ⏱️ 09.07.2025):

git clone https://github.com/serengil/deepface

- [PyPi](https://pypi.org/project/deepface) (📥 630K / month · 📦 44 · ⏱️ 17.08.2024):

pip install deepface

InsightFace (🥈37 · ⭐ 26K) - State-of-the-art 2D and 3D Face Analysis Project. MIT

- [GitHub](https://github.com/deepinsight/insightface) (👨‍💻 66 · 🔀 5.6K · 📥 8.9M · 📦 4.7K · 📋 2.6K - 46% open · ⏱️ 16.06.2025):

git clone https://github.com/deepinsight/insightface

- [PyPi](https://pypi.org/project/insightface) (📥 260K / month · 📦 30 · ⏱️ 17.12.2022):

pip install insightface

Kornia (🥈37 · ⭐ 11K) - Geometric Computer Vision Library for Spatial AI. Apache-2

- [GitHub](https://github.com/kornia/kornia) (👨‍💻 290 · 🔀 1K · 📥 2K · 📦 17K · 📋 980 - 30% open · ⏱️ 07.07.2025):

git clone https://github.com/kornia/kornia

- [PyPi](https://pypi.org/project/kornia) (📥 2.7M / month · 📦 340 · ⏱️ 08.05.2025):

pip install kornia

- [Conda](https://anaconda.org/conda-forge/kornia) (📥 240K · ⏱️ 08.05.2025):

conda install -c conda-forge kornia

opencv-python (🥈37 · ⭐ 4.9K · 📈) - Automated CI toolchain to produce precompiled opencv-python,.. MIT

- [GitHub](https://github.com/opencv/opencv-python) (👨‍💻 56 · 🔀 910 · 📦 610K · 📋 860 - 17% open · ⏱️ 08.07.2025):

git clone https://github.com/opencv/opencv-python

- [PyPi](https://pypi.org/project/opencv-python) (📥 18M / month · 📦 13K · ⏱️ 07.07.2025):

pip install opencv-python

imageio (🥈36 · ⭐ 1.6K) - Python library for reading and writing image data. BSD-2

- [GitHub](https://github.com/imageio/imageio) (👨‍💻 120 · 🔀 320 · 📥 1.8K · 📦 180K · 📋 620 - 16% open · ⏱️ 05.06.2025):

git clone https://github.com/imageio/imageio

- [PyPi](https://pypi.org/project/imageio) (📥 27M / month · 📦 2.6K · ⏱️ 20.01.2025):

pip install imageio

- [Conda](https://anaconda.org/conda-forge/imageio) (📥 8.1M · ⏱️ 22.04.2025):

conda install -c conda-forge imageio

detectron2 (🥈35 · ⭐ 32K · 📈) - Detectron2 is a platform for object detection,.. Apache-2

- [GitHub](https://github.com/facebookresearch/detectron2) (👨‍💻 280 · 🔀 7.5K · 📦 2.6K · 📋 3.6K - 14% open · ⏱️ 07.07.2025):

git clone https://github.com/facebookresearch/detectron2

- [PyPi](https://pypi.org/project/detectron2) (📥 1 / month · 📦 13 · ⏱️ 06.02.2020):

pip install detectron2

- [Conda](https://anaconda.org/conda-forge/detectron2) (📥 730K · ⏱️ 02.06.2025):

conda install -c conda-forge detectron2

Wand (🥈33 · ⭐ 1.5K) - The ctypes-based simple ImageMagick binding for Python. MIT

- [GitHub](https://github.com/emcconville/wand) (👨‍💻 110 · 🔀 200 · 📥 52K · 📦 21K · 📋 430 - 6% open · ⏱️ 01.04.2025):

git clone https://github.com/emcconville/wand

- [PyPi](https://pypi.org/project/wand) (📥 1.2M / month · 📦 260 · ⏱️ 03.11.2023):

pip install wand

- [Conda](https://anaconda.org/conda-forge/wand) (📥 150K · ⏱️ 22.04.2025):

conda install -c conda-forge wand

PaddleSeg (🥈32 · ⭐ 9.1K · 💤) - Easy-to-use image segmentation library with awesome pre-.. Apache-2

- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (👨‍💻 130 · 🔀 1.7K · 📦 1.5K · 📋 2.2K - 0% open · ⏱️ 25.12.2024):

git clone https://github.com/PaddlePaddle/PaddleSeg

- [PyPi](https://pypi.org/project/paddleseg) (📥 2K / month · 📦 7 · ⏱️ 30.11.2022):

pip install paddleseg

lightly (🥈32 · ⭐ 3.5K) - A python library for self-supervised learning on images. MIT

- [GitHub](https://github.com/lightly-ai/lightly) (👨‍💻 67 · 🔀 300 · 📦 460 · 📋 600 - 13% open · ⏱️ 10.07.2025):

git clone https://github.com/lightly-ai/lightly

- [PyPi](https://pypi.org/project/lightly) (📥 60K / month · 📦 20 · ⏱️ 11.06.2025):

pip install lightly

sahi (🥈31 · ⭐ 4.7K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT

- [GitHub](https://github.com/obss/sahi) (👨‍💻 61 · 🔀 660 · 📥 39K · 📦 1.9K · ⏱️ 08.07.2025):

git clone https://github.com/obss/sahi

- [PyPi](https://pypi.org/project/sahi) (📥 140K / month · 📦 38 · ⏱️ 08.07.2025):

pip install sahi

- [Conda](https://anaconda.org/conda-forge/sahi) (📥 110K · ⏱️ 09.07.2025):

conda install -c conda-forge sahi

ImageHash (🥈31 · ⭐ 3.7K) - A Python Perceptual Image Hashing Module. BSD-2

- [GitHub](https://github.com/JohannesBuchner/imagehash) (👨‍💻 29 · 🔀 340 · 📦 18K · 📋 150 - 15% open · ⏱️ 17.04.2025):

git clone https://github.com/JohannesBuchner/imagehash

- [PyPi](https://pypi.org/project/ImageHash) (📥 2.3M / month · 📦 270 · ⏱️ 01.02.2025):

pip install ImageHash

- [Conda](https://anaconda.org/conda-forge/imagehash) (📥 460K · ⏱️ 22.04.2025):

conda install -c conda-forge imagehash

vit-pytorch (🥈30 · ⭐ 23K) - Implementation of Vision Transformer, a simple way to achieve.. MIT

- [GitHub](https://github.com/lucidrains/vit-pytorch) (👨‍💻 23 · 🔀 3.3K · 📦 670 · 📋 280 - 49% open · ⏱️ 05.03.2025):

git clone https://github.com/lucidrains/vit-pytorch

- [PyPi](https://pypi.org/project/vit-pytorch) (📥 17K / month · 📦 17 · ⏱️ 05.03.2025):

pip install vit-pytorch

doctr (🥈29 · ⭐ 4.9K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2

- [GitHub](https://github.com/mindee/doctr) (👨‍💻 65 · 🔀 530 · 📥 5.6M · 📋 420 - 4% open · ⏱️ 09.07.2025):

git clone https://github.com/mindee/doctr

- [PyPi](https://pypi.org/project/python-doctr) (📥 120K / month · 📦 18 · ⏱️ 09.07.2025):

pip install python-doctr

PaddleDetection (🥉28 · ⭐ 14K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2

- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (👨‍💻 190 · 🔀 2.9K · 📋 5.6K - 17% open · ⏱️ 16.04.2025):

git clone https://github.com/PaddlePaddle/PaddleDetection

- [PyPi](https://pypi.org/project/paddledet) (📥 900 / month · 📦 2 · ⏱️ 19.09.2022):

pip install paddledet

Face Alignment (🥉28 · ⭐ 7.3K · 💤) - 2D and 3D Face alignment library build using pytorch. BSD-3

- [GitHub](https://github.com/1adrianb/face-alignment) (👨‍💻 26 · 🔀 1.4K · 📦 21 · 📋 320 - 24% open · ⏱️ 30.08.2024):

git clone https://github.com/1adrianb/face-alignment

- [PyPi](https://pypi.org/project/face-alignment) (📥 100K / month · 📦 10 · ⏱️ 17.08.2023):

pip install face-alignment

facenet-pytorch (🥉28 · ⭐ 4.9K · 💤) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT

- [GitHub](https://github.com/timesler/facenet-pytorch) (👨‍💻 18 · 🔀 940 · 📥 1.9M · 📦 3.8K · 📋 190 - 41% open · ⏱️ 02.08.2024):

git clone https://github.com/timesler/facenet-pytorch

- [PyPi](https://pypi.org/project/facenet-pytorch) (📥 110K / month · 📦 51 · ⏱️ 29.04.2024):

pip install facenet-pytorch

CellProfiler (🥉28 · ⭐ 1K) - An open-source application for biological image analysis. BSD-3

- [GitHub](https://github.com/CellProfiler/CellProfiler) (👨‍💻 150 · 🔀 390 · 📥 12K · 📦 28 · 📋 3.3K - 9% open · ⏱️ 18.06.2025):

git clone https://github.com/CellProfiler/CellProfiler

- [PyPi](https://pypi.org/project/cellprofiler) (📥 610 / month · 📦 2 · ⏱️ 16.09.2024):

pip install cellprofiler

mahotas (🥉28 · ⭐ 870) - Computer Vision in Python. MIT

- [GitHub](https://github.com/luispedro/mahotas) (👨‍💻 35 · 🔀 150 · 📦 1.6K · 📋 92 - 21% open · ⏱️ 08.07.2025):

git clone https://github.com/luispedro/mahotas

- [PyPi](https://pypi.org/project/mahotas) (📥 62K / month · 📦 63 · ⏱️ 17.07.2024):

pip install mahotas

- [Conda](https://anaconda.org/conda-forge/mahotas) (📥 650K · ⏱️ 22.04.2025):

conda install -c conda-forge mahotas

pyvips (🥉28 · ⭐ 710) - python binding for libvips using cffi. MIT

- [GitHub](https://github.com/libvips/pyvips) (👨‍💻 16 · 🔀 50 · 📦 1.1K · 📋 470 - 41% open · ⏱️ 05.06.2025):

git clone https://github.com/libvips/pyvips

- [PyPi](https://pypi.org/project/pyvips) (📥 160K / month · 📦 94 · ⏱️ 28.04.2025):

pip install pyvips

- [Conda](https://anaconda.org/conda-forge/pyvips) (📥 230K · ⏱️ 29.04.2025):

conda install -c conda-forge pyvips

Image Deduplicator (🥉27 · ⭐ 5.4K) - Finding duplicate images made easy!. Apache-2

- [GitHub](https://github.com/idealo/imagededup) (👨‍💻 18 · 🔀 460 · 📥 29 · 📦 200 · 📋 130 - 28% open · ⏱️ 26.06.2025):

git clone https://github.com/idealo/imagededup

- [PyPi](https://pypi.org/project/imagededup) (📥 20K / month · 📦 29 · ⏱️ 26.06.2025):

pip install imagededup

Norfair (🥉27 · ⭐ 2.5K) - Lightweight Python library for adding real-time multi-object tracking.. BSD-3

- [GitHub](https://github.com/tryolabs/norfair) (👨‍💻 31 · 🔀 260 · 📥 350 · 📦 330 · 📋 180 - 16% open · ⏱️ 30.04.2025):

git clone https://github.com/tryolabs/norfair

- [PyPi](https://pypi.org/project/norfair) (📥 36K / month · 📦 9 · ⏱️ 30.04.2025):

pip install norfair

mtcnn (🥉27 · ⭐ 2.4K · 💤) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT

- [GitHub](https://github.com/ipazc/mtcnn) (👨‍💻 16 · 🔀 530 · 📥 63 · 📦 9.1K · 📋 130 - 37% open · ⏱️ 08.10.2024):

git clone https://github.com/ipazc/mtcnn

- [PyPi](https://pypi.org/project/mtcnn) (📥 160K / month · 📦 73 · ⏱️ 08.10.2024):

pip install mtcnn

- [Conda](https://anaconda.org/conda-forge/mtcnn) (📥 15K · ⏱️ 22.04.2025):

conda install -c conda-forge mtcnn

pytorchvideo (🥉25 · ⭐ 3.5K) - A deep learning library for video understanding research. Apache-2

- [GitHub](https://github.com/facebookresearch/pytorchvideo) (👨‍💻 58 · 🔀 410 · 📋 210 - 50% open · ⏱️ 25.01.2025):

git clone https://github.com/facebookresearch/pytorchvideo

- [PyPi](https://pypi.org/project/pytorchvideo) (📥 55K / month · 📦 24 · ⏱️ 20.01.2022):

pip install pytorchvideo

tensorflow-graphics (🥉25 · ⭐ 2.8K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2

- [GitHub](https://github.com/tensorflow/graphics) (👨‍💻 39 · 🔀 370 · 📋 240 - 60% open · ⏱️ 03.02.2025):

git clone https://github.com/tensorflow/graphics

- [PyPi](https://pypi.org/project/tensorflow-graphics) (📥 16K / month · 📦 11 · ⏱️ 03.12.2021):

pip install tensorflow-graphics

segmentation_models (🥉24 · ⭐ 4.9K · 💤) - Segmentation models with pretrained backbones. Keras.. MIT

- [GitHub](https://github.com/qubvel/segmentation_models) (👨‍💻 15 · 🔀 1K · 📋 540 - 50% open · ⏱️ 21.08.2024):

git clone https://github.com/qubvel/segmentation_models

- [PyPi](https://pypi.org/project/segmentation_models) (📥 23K / month · 📦 28 · ⏱️ 10.01.2020):

pip install segmentation_models

MMF (🥉23 · ⭐ 5.6K) - A modular framework for vision & language multimodal research from.. BSD-3

- [GitHub](https://github.com/facebookresearch/mmf) (👨‍💻 120 · 🔀 920 · 📦 23 · 📋 690 - 21% open · ⏱️ 24.04.2025):

git clone https://github.com/facebookresearch/mmf

- [PyPi](https://pypi.org/project/mmf) (📥 250 / month · 📦 1 · ⏱️ 12.06.2020):

pip install mmf

kubric (🥉23 · ⭐ 2.5K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2

- [GitHub](https://github.com/google-research/kubric) (👨‍💻 32 · 🔀 250 · 📦 7 · 📋 200 - 35% open · ⏱️ 06.05.2025):

git clone https://github.com/google-research/kubric

- [PyPi](https://pypi.org/project/kubric-nightly) (📥 8.2K / month · ⏱️ 27.12.2023):

pip install kubric-nightly

icevision (🥉22 · ⭐ 860 · 💤) - An Agnostic Computer Vision Framework - Pluggable to any.. Apache-2

- [GitHub](https://github.com/airctic/icevision) (👨‍💻 41 · 🔀 130 · 📋 570 - 10% open · ⏱️ 31.10.2024):

git clone https://github.com/airctic/icevision

- [PyPi](https://pypi.org/project/icevision) (📥 3.3K / month · 📦 6 · ⏱️ 10.02.2022):

pip install icevision

Image Super-Resolution (🥉21 · ⭐ 4.8K · 💤) - Super-scale your images and run experiments with.. Apache-2

- [GitHub](https://github.com/idealo/image-super-resolution) (👨‍💻 11 · 🔀 760 · 📋 220 - 48% open · ⏱️ 18.12.2024):

git clone https://github.com/idealo/image-super-resolution

- [PyPi](https://pypi.org/project/ISR) (📥 4.5K / month · 📦 5 · ⏱️ 08.01.2020):

pip install ISR

- [Docker Hub](https://hub.docker.com/r/idealo/image-super-resolution-gpu) (📥 280 · ⭐ 1 · ⏱️ 01.04.2019):

docker pull idealo/image-super-resolution-gpu

PySlowFast (🥉20 · ⭐ 7K · 💤) - PySlowFast: video understanding codebase from FAIR for.. Apache-2

- [GitHub](https://github.com/facebookresearch/SlowFast) (👨‍💻 34 · 🔀 1.2K · 📦 23 · 📋 710 - 59% open · ⏱️ 26.11.2024):

git clone https://github.com/facebookresearch/SlowFast

- [PyPi](https://pypi.org/project/pyslowfast) (📥 18 / month · ⏱️ 15.01.2020):

pip install pyslowfast

scenic (🥉17 · ⭐ 3.6K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2

- [GitHub](https://github.com/google-research/scenic) (👨‍💻 94 · 🔀 460 · 📋 400 - 70% open · ⏱️ 09.07.2025):

git clone https://github.com/google-research/scenic

Show 28 hidden projects...

- scikit-image (🥇41 · ⭐ 6.3K) - Image processing in Python. ❗Unlicensed - MMDetection (🥈37 · ⭐ 31K · 💀) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 - glfw (🥈36 · ⭐ 14K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib - Face Recognition (🥈35 · ⭐ 55K · 💀) - The worlds simplest facial recognition api for Python.. MIT - imgaug (🥈35 · ⭐ 15K · 💀) - Image augmentation for machine learning experiments. MIT - PyTorch3D (🥈33 · ⭐ 9.4K) - PyTorch3D is FAIRs library of reusable components for.. ❗Unlicensed - imageai (🥈30 · ⭐ 8.8K · 💀) - A python library built to empower developers to build applications.. MIT - imutils (🥈30 · ⭐ 4.6K · 💀) - A series of convenience functions to make basic image processing.. MIT - GluonCV (🥉28 · ⭐ 5.9K · 💀) - Gluon CV Toolkit. Apache-2 - vidgear (🥉28 · ⭐ 3.6K · 💀) - A High-performance cross-platform Video Processing Python.. Apache-2 - Augmentor (🥉26 · ⭐ 5.1K · 💀) - Image augmentation library in Python for machine learning. MIT - chainercv (🥉26 · ⭐ 1.5K · 💀) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT - Pillow-SIMD (🥉25 · ⭐ 2.2K · 💤) - The friendly PIL fork. ❗️PIL - layout-parser (🥉24 · ⭐ 5.4K · 💀) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2 - ffcv (🥉23 · ⭐ 2.9K · 💀) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2 - solt (🥉23 · ⭐ 260) - Streaming over lightweight data transformations. MIT - deep-daze (🥉22 · ⭐ 4.4K · 💀) - Simple command line tool for text to image generation using.. MIT - vissl (🥉22 · ⭐ 3.3K · 💀) - VISSL is FAIRs library of extensible, modular and scalable.. MIT - Luminoth (🥉22 · ⭐ 2.4K · 💀) - Deep Learning toolkit for Computer Vision. BSD-3 - Classy Vision (🥉22 · ⭐ 1.6K · 💀) - An end-to-end PyTorch framework for image and video.. MIT - DE⫶TR (🥉21 · ⭐ 15K · 💀) - End-to-End Object Detection with Transformers. Apache-2 - detecto (🥉21 · ⭐ 620 · 💀) - Build fully-functioning computer vision models with PyTorch. MIT - image-match (🥉20 · ⭐ 3K · 💀) - Quickly search over billions of images. Apache-2 - pycls (🥉18 · ⭐ 2.2K · 💀) - Codebase for Image Classification Research, written in PyTorch. MIT - Caer (🥉17 · ⭐ 800 · 💀) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT - nude.py (🥉16 · ⭐ 930 · 💀) - Nudity detection with Python. MIT - Torch Points 3D (🥉16 · ⭐ 240 · 💀) - Pytorch framework for doing deep learning on point.. BSD-3 - HugsVision (🥉14 · ⭐ 200 · 💀) - HugsVision is a easy to use huggingface wrapper for state-of-.. MIT huggingface

Graph Data

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

networkx (🥇45 · ⭐ 16K) - Network Analysis in Python. BSD-3

- [GitHub](https://github.com/networkx/networkx) (👨‍💻 780 · 🔀 3.4K · 📥 110 · 📦 420K · 📋 3.5K - 11% open · ⏱️ 09.07.2025):

git clone https://github.com/networkx/networkx

- [PyPi](https://pypi.org/project/networkx) (📥 100M / month · 📦 12K · ⏱️ 29.05.2025):

pip install networkx

- [Conda](https://anaconda.org/conda-forge/networkx) (📥 23M · ⏱️ 04.06.2025):

conda install -c conda-forge networkx

PyTorch Geometric (🥇40 · ⭐ 23K) - Graph Neural Network Library for PyTorch. MIT

- [GitHub](https://github.com/pyg-team/pytorch_geometric) (👨‍💻 550 · 🔀 3.8K · 📦 10K · 📋 3.9K - 30% open · ⏱️ 07.07.2025):

git clone https://github.com/pyg-team/pytorch_geometric

- [PyPi](https://pypi.org/project/torch-geometric) (📥 780K / month · 📦 360 · ⏱️ 26.09.2024):

pip install torch-geometric

- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (📥 170K · ⏱️ 22.04.2025):

conda install -c conda-forge pytorch_geometric

dgl (🥇36 · ⭐ 14K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2

- [GitHub](https://github.com/dmlc/dgl) (👨‍💻 300 · 🔀 3K · 📦 4.1K · 📋 2.9K - 18% open · ⏱️ 11.02.2025):

git clone https://github.com/dmlc/dgl

- [PyPi](https://pypi.org/project/dgl) (📥 98K / month · 📦 150 · ⏱️ 13.05.2024):

pip install dgl

PyKEEN (🥈31 · ⭐ 1.8K) - A Python library for learning and evaluating knowledge graph embeddings. MIT

- [GitHub](https://github.com/pykeen/pykeen) (👨‍💻 43 · 🔀 200 · 📥 240 · 📦 340 · 📋 590 - 19% open · ⏱️ 24.04.2025):

git clone https://github.com/pykeen/pykeen

- [PyPi](https://pypi.org/project/pykeen) (📥 22K / month · 📦 21 · ⏱️ 24.04.2025):

pip install pykeen

pygraphistry (🥈29 · ⭐ 2.3K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3

- [GitHub](https://github.com/graphistry/pygraphistry) (👨‍💻 48 · 🔀 220 · 📋 370 - 53% open · ⏱️ 09.07.2025):

git clone https://github.com/graphistry/pygraphistry

- [PyPi](https://pypi.org/project/graphistry) (📥 28K / month · 📦 6 · ⏱️ 08.07.2025):

pip install graphistry

pytorch_geometric_temporal (🥈28 · ⭐ 2.8K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT

- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (👨‍💻 37 · 🔀 400 · 📋 200 - 20% open · ⏱️ 05.07.2025):

git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal

- [PyPi](https://pypi.org/project/torch-geometric-temporal) (📥 5K / month · 📦 12 · ⏱️ 05.07.2025):

pip install torch-geometric-temporal

ogb (🥈28 · ⭐ 2K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT

- [GitHub](https://github.com/snap-stanford/ogb) (👨‍💻 32 · 🔀 400 · 📦 2.6K · 📋 310 - 11% open · ⏱️ 06.05.2025):

git clone https://github.com/snap-stanford/ogb

- [PyPi](https://pypi.org/project/ogb) (📥 30K / month · 📦 73 · ⏱️ 07.04.2023):

pip install ogb

- [Conda](https://anaconda.org/conda-forge/ogb) (📥 57K · ⏱️ 22.04.2025):

conda install -c conda-forge ogb

torch-cluster (🥈25 · ⭐ 880) - PyTorch Extension Library of Optimized Graph Cluster.. MIT

- [GitHub](https://github.com/rusty1s/pytorch_cluster) (👨‍💻 39 · 🔀 160 · 📋 180 - 17% open · ⏱️ 31.05.2025):

git clone https://github.com/rusty1s/pytorch_cluster

- [PyPi](https://pypi.org/project/torch-cluster) (📥 18K / month · 📦 62 · ⏱️ 12.10.2023):

pip install torch-cluster

- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (📥 390K · ⏱️ 22.04.2025):

conda install -c conda-forge pytorch_cluster

Node2Vec (🥈24 · ⭐ 1.3K · 💤) - Implementation of the node2vec algorithm. MIT

- [GitHub](https://github.com/eliorc/node2vec) (👨‍💻 16 · 🔀 250 · 📦 950 · 📋 97 - 5% open · ⏱️ 02.08.2024):

git clone https://github.com/eliorc/node2vec

- [PyPi](https://pypi.org/project/node2vec) (📥 25K / month · 📦 31 · ⏱️ 02.08.2024):

pip install node2vec

- [Conda](https://anaconda.org/conda-forge/node2vec) (📥 36K · ⏱️ 22.04.2025):

conda install -c conda-forge node2vec

Show 27 hidden projects...

- igraph (🥇33 · ⭐ 1.4K) - Python interface for igraph. ❗️GPL-2.0 - Spektral (🥈28 · ⭐ 2.4K · 💀) - Graph Neural Networks with Keras and Tensorflow 2. MIT - StellarGraph (🥈27 · ⭐ 3K · 💀) - StellarGraph - Machine Learning on Graphs. Apache-2 - pygal (🥈26 · ⭐ 2.7K · 💤) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 - Paddle Graph Learning (🥈26 · ⭐ 1.6K · 💀) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 - AmpliGraph (🥈25 · ⭐ 2.2K · 💀) - Python library for Representation Learning on Knowledge.. Apache-2 - PyTorch-BigGraph (🥉23 · ⭐ 3.4K · 💀) - Generate embeddings from large-scale graph-structured.. BSD-3 - Karate Club (🥉23 · ⭐ 2.2K · 💤) - Karate Club: An API Oriented Open-source Python Framework.. ❗️GPL-3.0 - graph-nets (🥉21 · ⭐ 5.4K · 💀) - Build Graph Nets in Tensorflow. Apache-2 - graph4nlp (🥉21 · ⭐ 1.7K · 💀) - Graph4nlp is the library for the easy use of Graph.. Apache-2 - pyRDF2Vec (🥉21 · ⭐ 260 · 💀) - Python Implementation and Extension of RDF2Vec. MIT - DeepWalk (🥉20 · ⭐ 2.7K · 💀) - DeepWalk - Deep Learning for Graphs. ❗️GPL-3.0 - DIG (🥉20 · ⭐ 2K · 💀) - A library for graph deep learning research. ❗️GPL-3.0 - jraph (🥉20 · ⭐ 1.4K · 💀) - A Graph Neural Network Library in Jax. Apache-2 - deepsnap (🥉20 · ⭐ 560 · 💀) - Python library assists deep learning on graphs. MIT - GraphGym (🥉19 · ⭐ 1.8K · 💀) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT - DeepGraph (🥉19 · ⭐ 300 · 📉) - Analyze Data with Pandas-based Networks... ❗Unlicensed - Sematch (🥉17 · ⭐ 440 · 💀) - semantic similarity framework for knowledge graph. Apache-2 - AutoGL (🥉16 · ⭐ 1.1K · 💀) - An autoML framework & toolkit for machine learning on graphs. Apache-2 - kglib (🥉16 · ⭐ 550 · 💀) - TypeDB-ML is the Machine Learning integrations library for TypeDB. Apache-2 - Euler (🥉15 · ⭐ 2.9K · 💀) - A distributed graph deep learning framework. Apache-2 - GraphEmbedding (🥉14 · ⭐ 3.8K · 💀) - Implementation and experiments of graph embedding.. MIT - GraphSAGE (🥉14 · ⭐ 3.5K · 💀) - Representation learning on large graphs using stochastic.. MIT - OpenNE (🥉14 · ⭐ 1.7K · 💀) - An Open-Source Package for Network Embedding (NE). MIT - GraphVite (🥉14 · ⭐ 1.3K · 💀) - GraphVite: A General and High-performance Graph Embedding.. Apache-2 - ptgnn (🥉14 · ⭐ 380 · 💀) - A PyTorch Graph Neural Network Library. MIT - OpenKE (🥉13 · ⭐ 4K · 💀) - An Open-Source Package for Knowledge Embedding (KE). ❗Unlicensed

Audio Data

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

speechbrain (🥇39 · ⭐ 10K · 📉) - A PyTorch-based Speech Toolkit. Apache-2

- [GitHub](https://github.com/speechbrain/speechbrain) (👨‍💻 260 · 🔀 1.5K · 📦 3.8K · 📋 1.2K - 12% open · ⏱️ 10.07.2025):

git clone https://github.com/speechbrain/speechbrain

- [PyPi](https://pypi.org/project/speechbrain) (📥 980K / month · 📦 79 · ⏱️ 07.04.2025):

pip install speechbrain

espnet (🥇38 · ⭐ 9.3K) - End-to-End Speech Processing Toolkit. Apache-2

- [GitHub](https://github.com/espnet/espnet) (👨‍💻 500 · 🔀 2.2K · 📥 84 · 📦 470 · 📋 2.7K - 13% open · ⏱️ 02.07.2025):

git clone https://github.com/espnet/espnet

- [PyPi](https://pypi.org/project/espnet) (📥 16K / month · 📦 12 · ⏱️ 04.12.2024):

pip install espnet

torchaudio (🥇36 · ⭐ 2.7K) - Data manipulation and transformation for audio signal.. BSD-2

- [GitHub](https://github.com/pytorch/audio) (👨‍💻 240 · 🔀 700 · 📋 1K - 28% open · ⏱️ 09.07.2025):

git clone https://github.com/pytorch/audio

- [PyPi](https://pypi.org/project/torchaudio) (📥 7.5M / month · 📦 2K · ⏱️ 04.06.2025):

pip install torchaudio

SpeechRecognition (🥈35 · ⭐ 8.8K) - Speech recognition module for Python, supporting several.. BSD-3

- [GitHub](https://github.com/Uberi/speech_recognition) (👨‍💻 54 · 🔀 2.4K · 📦 21 · 📋 670 - 48% open · ⏱️ 18.05.2025):

git clone https://github.com/Uberi/speech_recognition

- [PyPi](https://pypi.org/project/SpeechRecognition) (📥 1.6M / month · 📦 730 · ⏱️ 12.05.2025):

pip install SpeechRecognition

- [Conda](https://anaconda.org/conda-forge/speechrecognition) (📥 280K · ⏱️ 12.05.2025):

conda install -c conda-forge speechrecognition

librosa (🥈34 · ⭐ 7.7K) - Python library for audio and music analysis. ISC

- [GitHub](https://github.com/librosa/librosa) (👨‍💻 130 · 🔀 990 · 📋 1.3K - 4% open · ⏱️ 19.05.2025):

git clone https://github.com/librosa/librosa

- [PyPi](https://pypi.org/project/librosa) (📥 4.3M / month · 📦 1.6K · ⏱️ 11.03.2025):

pip install librosa

- [Conda](https://anaconda.org/conda-forge/librosa) (📥 920K · ⏱️ 22.04.2025):

conda install -c conda-forge librosa

audiomentations (🥈34 · ⭐ 2.1K) - A Python library for audio data augmentation. Useful for.. MIT

- [GitHub](https://github.com/iver56/audiomentations) (👨‍💻 33 · 🔀 200 · 📦 830 · 📋 200 - 26% open · ⏱️ 04.07.2025):

git clone https://github.com/iver56/audiomentations

- [PyPi](https://pypi.org/project/audiomentations) (📥 1.4M / month · 📦 36 · ⏱️ 04.07.2025):

pip install audiomentations

spleeter (🥈33 · ⭐ 27K) - Deezer source separation library including pretrained models. MIT

- [GitHub](https://github.com/deezer/spleeter) (👨‍💻 22 · 🔀 3K · 📥 4.1M · 📦 1.1K · 📋 820 - 31% open · ⏱️ 02.04.2025):

git clone https://github.com/deezer/spleeter

- [PyPi](https://pypi.org/project/spleeter) (📥 32K / month · 📦 18 · ⏱️ 03.04.2025):

pip install spleeter

- [Conda](https://anaconda.org/conda-forge/spleeter) (📥 110K · ⏱️ 22.04.2025):

conda install -c conda-forge spleeter

Coqui TTS (🥈33 · ⭐ 1.6K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0

- [GitHub](https://github.com/idiap/coqui-ai-TTS) (👨‍💻 190 · 🔀 200 · 📥 2.8K · 📦 720 · 📋 150 - 19% open · ⏱️ 30.06.2025):

git clone https://github.com/idiap/coqui-ai-TTS

- [PyPi](https://pypi.org/project/coqui-tts) (📥 86K / month · 📦 25 · ⏱️ 22.05.2025):

pip install coqui-tts

Magenta (🥈32 · ⭐ 20K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2

- [GitHub](https://github.com/magenta/magenta) (👨‍💻 160 · 🔀 3.7K · 📦 590 · 📋 1K - 41% open · ⏱️ 08.07.2025):

git clone https://github.com/magenta/magenta

- [PyPi](https://pypi.org/project/magenta) (📥 9.7K / month · 📦 5 · ⏱️ 01.08.2022):

pip install magenta

Porcupine (🥈30 · ⭐ 4.2K) - On-device wake word detection powered by deep learning. Apache-2

- [GitHub](https://github.com/Picovoice/porcupine) (👨‍💻 43 · 🔀 530 · 📦 50 · ⏱️ 09.07.2025):

git clone https://github.com/Picovoice/Porcupine

- [PyPi](https://pypi.org/project/pvporcupine) (📥 24K / month · 📦 38 · ⏱️ 05.02.2025):

pip install pvporcupine

tinytag (🥉29 · ⭐ 770) - Python library for reading audio file metadata. MIT

- [GitHub](https://github.com/tinytag/tinytag) (👨‍💻 27 · 🔀 100 · 📦 1.3K · 📋 120 - 3% open · ⏱️ 16.06.2025):

git clone https://github.com/devsnd/tinytag

- [PyPi](https://pypi.org/project/tinytag) (📥 77K / month · 📦 120 · ⏱️ 23.04.2025):

pip install tinytag

pyAudioAnalysis (🥉28 · ⭐ 6.1K) - Python Audio Analysis Library: Feature Extraction,.. Apache-2

- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (👨‍💻 28 · 🔀 1.2K · 📦 660 · 📋 320 - 62% open · ⏱️ 28.03.2025):

git clone https://github.com/tyiannak/pyAudioAnalysis

- [PyPi](https://pypi.org/project/pyAudioAnalysis) (📥 24K / month · 📦 12 · ⏱️ 07.02.2022):

pip install pyAudioAnalysis

python-soundfile (🥉28 · ⭐ 780) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3

- [GitHub](https://github.com/bastibe/python-soundfile) (👨‍💻 38 · 🔀 120 · 📥 21K · 📋 260 - 46% open · ⏱️ 28.04.2025):

git clone https://github.com/bastibe/python-soundfile

- [PyPi](https://pypi.org/project/soundfile) (📥 6.6M / month · 📦 1.1K · ⏱️ 25.01.2025):

pip install soundfile

- [Conda](https://anaconda.org/anaconda/pysoundfile):

conda install -c anaconda pysoundfile

Madmom (🥉27 · ⭐ 1.5K · 💤) - Python audio and music signal processing library. BSD-3

- [GitHub](https://github.com/CPJKU/madmom) (👨‍💻 24 · 🔀 250 · 📦 500 · 📋 280 - 24% open · ⏱️ 25.08.2024):

git clone https://github.com/CPJKU/madmom

- [PyPi](https://pypi.org/project/madmom) (📥 4.1K / month · 📦 27 · ⏱️ 14.11.2018):

pip install madmom

DDSP (🥉24 · ⭐ 3.1K · 💤) - DDSP: Differentiable Digital Signal Processing. Apache-2

- [GitHub](https://github.com/magenta/ddsp) (👨‍💻 32 · 🔀 350 · 📦 69 · 📋 170 - 28% open · ⏱️ 23.09.2024):

git clone https://github.com/magenta/ddsp

- [PyPi](https://pypi.org/project/ddsp) (📥 3.5K / month · 📦 1 · ⏱️ 25.05.2022):

pip install ddsp

- [Conda](https://anaconda.org/conda-forge/ddsp) (📥 23K · ⏱️ 22.04.2025):

conda install -c conda-forge ddsp

nnAudio (🥉24 · ⭐ 1.1K) - Audio processing by using pytorch 1D convolution network. MIT

- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (👨‍💻 16 · 🔀 93 · 📦 400 · 📋 63 - 28% open · ⏱️ 16.05.2025):

git clone https://github.com/KinWaiCheuk/nnAudio

- [PyPi](https://pypi.org/project/nnAudio) (📥 77K / month · 📦 4 · ⏱️ 13.02.2024):

pip install nnAudio

Julius (🥉22 · ⭐ 440) - Fast PyTorch based DSP for audio and 1D signals. MIT

- [GitHub](https://github.com/adefossez/julius) (👨‍💻 3 · 🔀 25 · 📦 3.1K · 📋 12 - 16% open · ⏱️ 17.02.2025):

git clone https://github.com/adefossez/julius

- [PyPi](https://pypi.org/project/julius) (📥 430K / month · 📦 44 · ⏱️ 20.09.2022):

pip install julius

DeepSpeech (🥉21 · ⭐ 26K) - DeepSpeech is an open source embedded (offline, on-device).. MPL-2.0

- [GitHub](https://github.com/mozilla/DeepSpeech) (👨‍💻 140 · 🔀 4K):

git clone https://github.com/mozilla/DeepSpeech

- [PyPi](https://pypi.org/project/deepspeech) (📥 5.6K / month · 📦 24 · ⏱️ 19.12.2020):

pip install deepspeech

- [Conda](https://anaconda.org/conda-forge/deepspeech) (📥 4K · ⏱️ 22.04.2025):

conda install -c conda-forge deepspeech

Show 11 hidden projects...

- Pydub (🥈35 · ⭐ 9.5K · 💀) - Manipulate audio with a simple and easy high level interface. MIT - audioread (🥈30 · ⭐ 510 · 💀) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio.. MIT - aubio (🥉28 · ⭐ 3.5K) - a library for audio and music analysis. ❗️GPL-3.0 - Essentia (🥉28 · ⭐ 3.1K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 - TTS (🥉26 · ⭐ 9.9K · 💀) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 - python_speech_features (🥉25 · ⭐ 2.4K · 💀) - This library provides common speech features for ASR.. MIT - Dejavu (🥉23 · ⭐ 6.6K · 💀) - Audio fingerprinting and recognition in Python. MIT - kapre (🥉22 · ⭐ 930 · 💀) - kapre: Keras Audio Preprocessors. MIT - TimeSide (🥉20 · ⭐ 390 · 💤) - scalable audio processing framework and server written in.. ❗️AGPL-3.0 - Muda (🥉17 · ⭐ 230 · 💀) - A library for augmenting annotated audio data. ISC - textlesslib (🥉10 · ⭐ 540 · 💀) - Library for Textless Spoken Language Processing. MIT

Geospatial Data

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

pydeck (🥇42 · ⭐ 13K · 📉) - WebGL2 powered visualization framework. MIT

- [GitHub](https://github.com/visgl/deck.gl) (👨‍💻 290 · 🔀 2.1K · 📦 9.2K · 📋 3.2K - 13% open · ⏱️ 07.07.2025):

git clone https://github.com/visgl/deck.gl

- [PyPi](https://pypi.org/project/pydeck) (📥 10M / month · 📦 160 · ⏱️ 21.03.2025):

pip install pydeck

- [Conda](https://anaconda.org/conda-forge/pydeck) (📥 780K · ⏱️ 22.04.2025):

conda install -c conda-forge pydeck

- [npm](https://www.npmjs.com/package/deck.gl) (📥 700K / month · 📦 350 · ⏱️ 08.07.2025):

npm install deck.gl

folium (🥇41 · ⭐ 7.2K) - Python Data. Leaflet.js Maps. MIT

- [GitHub](https://github.com/python-visualization/folium) (👨‍💻 180 · 🔀 2.2K · 📦 64K · 📋 1.2K - 6% open · ⏱️ 08.07.2025):

git clone https://github.com/python-visualization/folium

- [PyPi](https://pypi.org/project/folium) (📥 2.6M / month · 📦 1K · ⏱️ 16.06.2025):

pip install folium

- [Conda](https://anaconda.org/conda-forge/folium) (📥 4M · ⏱️ 16.06.2025):

conda install -c conda-forge folium

Shapely (🥇40 · ⭐ 4.2K) - Manipulation and analysis of geometric objects. BSD-3

- [GitHub](https://github.com/shapely/shapely) (👨‍💻 170 · 🔀 590 · 📥 3.9K · 📦 110K · 📋 1.3K - 18% open · ⏱️ 08.07.2025):

git clone https://github.com/shapely/shapely

- [PyPi](https://pypi.org/project/shapely) (📥 53M / month · 📦 4.2K · ⏱️ 19.05.2025):

pip install shapely

- [Conda](https://anaconda.org/conda-forge/shapely) (📥 13M · ⏱️ 19.05.2025):

conda install -c conda-forge shapely

GeoPandas (🥈39 · ⭐ 4.8K) - Python tools for geographic data. BSD-3

- [GitHub](https://github.com/geopandas/geopandas) (👨‍💻 250 · 🔀 960 · 📥 3K · 📦 59K · 📋 1.8K - 24% open · ⏱️ 09.07.2025):

git clone https://github.com/geopandas/geopandas

- [PyPi](https://pypi.org/project/geopandas) (📥 9.3M / month · 📦 3.8K · ⏱️ 26.06.2025):

pip install geopandas

- [Conda](https://anaconda.org/conda-forge/geopandas) (📥 4.9M · ⏱️ 27.06.2025):

conda install -c conda-forge geopandas

Rasterio (🥈37 · ⭐ 2.4K) - Rasterio reads and writes geospatial raster datasets. BSD-3

- [GitHub](https://github.com/rasterio/rasterio) (👨‍💻 170 · 🔀 540 · 📥 1K · 📦 18K · 📋 1.9K - 8% open · ⏱️ 05.07.2025):

git clone https://github.com/rasterio/rasterio

- [PyPi](https://pypi.org/project/rasterio) (📥 2.4M / month · 📦 1.5K · ⏱️ 02.12.2024):

pip install rasterio

- [Conda](https://anaconda.org/conda-forge/rasterio) (📥 4.9M · ⏱️ 22.04.2025):

conda install -c conda-forge rasterio

pyproj (🥈36 · ⭐ 1.1K) - Python interface to PROJ (cartographic projections and coordinate.. MIT

- [GitHub](https://github.com/pyproj4/pyproj) (👨‍💻 72 · 🔀 220 · 📦 46K · 📋 640 - 6% open · ⏱️ 04.07.2025):

git clone https://github.com/pyproj4/pyproj

- [PyPi](https://pypi.org/project/pyproj) (📥 12M / month · 📦 1.9K · ⏱️ 16.02.2025):

pip install pyproj

- [Conda](https://anaconda.org/conda-forge/pyproj) (📥 11M · ⏱️ 22.04.2025):

conda install -c conda-forge pyproj

ArcGIS API (🥈35 · ⭐ 2K) - Documentation and samples for ArcGIS API for Python. Apache-2

- [GitHub](https://github.com/Esri/arcgis-python-api) (👨‍💻 97 · 🔀 1.1K · 📥 15K · 📦 980 · 📋 870 - 7% open · ⏱️ 09.07.2025):

git clone https://github.com/Esri/arcgis-python-api

- [PyPi](https://pypi.org/project/arcgis) (📥 160K / month · 📦 41 · ⏱️ 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

ipyleaflet (🥈35 · ⭐ 1.5K) - A Jupyter - Leaflet.js bridge. MIT

- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (👨‍💻 94 · 🔀 360 · 📦 18K · 📋 660 - 44% open · ⏱️ 19.06.2025):

git clone https://github.com/jupyter-widgets/ipyleaflet

- [PyPi](https://pypi.org/project/ipyleaflet) (📥 200K / month · 📦 340 · ⏱️ 13.06.2025):

pip install ipyleaflet

- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (📥 1.5M · ⏱️ 13.06.2025):

conda install -c conda-forge ipyleaflet

- [npm](https://www.npmjs.com/package/jupyter-leaflet) (📥 1.3K / month · 📦 9 · ⏱️ 13.06.2025):

npm install jupyter-leaflet

Fiona (🥈34 · ⭐ 1.2K) - Fiona reads and writes geographic data files. BSD-3

- [GitHub](https://github.com/Toblerity/Fiona) (👨‍💻 78 · 🔀 210 · 📦 26K · 📋 810 - 4% open · ⏱️ 20.02.2025):

git clone https://github.com/Toblerity/Fiona

- [PyPi](https://pypi.org/project/fiona) (📥 4.8M / month · 📦 380 · ⏱️ 16.09.2024):

pip install fiona

- [Conda](https://anaconda.org/conda-forge/fiona) (📥 7M · ⏱️ 22.04.2025):

conda install -c conda-forge fiona

geojson (🥉31 · ⭐ 970 · 💤) - Python bindings and utilities for GeoJSON. BSD-3

- [GitHub](https://github.com/jazzband/geojson) (👨‍💻 58 · 🔀 120 · 📦 21K · 📋 100 - 25% open · ⏱️ 21.12.2024):

git clone https://github.com/jazzband/geojson

- [PyPi](https://pypi.org/project/geojson) (📥 3.3M / month · 📦 720 · ⏱️ 21.12.2024):

pip install geojson

- [Conda](https://anaconda.org/conda-forge/geojson) (📥 1M · ⏱️ 22.04.2025):

conda install -c conda-forge geojson

PySAL (🥉29 · ⭐ 1.4K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3

- [GitHub](https://github.com/pysal/pysal) (👨‍💻 79 · 🔀 310 · 📦 1.8K · 📋 660 - 3% open · ⏱️ 06.02.2025):

git clone https://github.com/pysal/pysal

- [PyPi](https://pypi.org/project/pysal) (📥 25K / month · 📦 65 · ⏱️ 09.07.2025):

pip install pysal

- [Conda](https://anaconda.org/conda-forge/pysal) (📥 640K · ⏱️ 22.04.2025):

conda install -c conda-forge pysal

EarthPy (🥉29 · ⭐ 520) - A package built to support working with spatial data using open source.. BSD-3

- [GitHub](https://github.com/earthlab/earthpy) (👨‍💻 44 · 🔀 160 · 📥 65 · 📦 440 · 📋 250 - 16% open · ⏱️ 09.06.2025):

git clone https://github.com/earthlab/earthpy

- [PyPi](https://pypi.org/project/earthpy) (📥 20K / month · 📦 17 · ⏱️ 01.10.2021):

pip install earthpy

- [Conda](https://anaconda.org/conda-forge/earthpy) (📥 94K · ⏱️ 22.04.2025):

conda install -c conda-forge earthpy

pymap3d (🥉26 · ⭐ 420 · 📈) - pure-Python (Numpy optional) 3D coordinate conversions for geospace.. BSD-2

- [GitHub](https://github.com/geospace-code/pymap3d) (👨‍💻 19 · 🔀 87 · 📦 520 · 📋 59 - 8% open · ⏱️ 08.07.2025):

git clone https://github.com/geospace-code/pymap3d

- [PyPi](https://pypi.org/project/pymap3d) (📥 380K / month · 📦 50 · ⏱️ 08.07.2025):

pip install pymap3d

- [Conda](https://anaconda.org/conda-forge/pymap3d) (📥 110K · ⏱️ 08.07.2025):

conda install -c conda-forge pymap3d

GeoViews (🥉25 · ⭐ 620) - Simple, concise geographical visualization in Python. BSD-3

- [GitHub](https://github.com/holoviz/geoviews) (👨‍💻 33 · 🔀 77 · 📦 5 · 📋 360 - 31% open · ⏱️ 23.05.2025):

git clone https://github.com/holoviz/geoviews

- [PyPi](https://pypi.org/project/geoviews) (📥 14K / month · 📦 63 · ⏱️ 17.12.2024):

pip install geoviews

- [Conda](https://anaconda.org/conda-forge/geoviews) (📥 310K · ⏱️ 22.04.2025):

conda install -c conda-forge geoviews

Mapbox GL (🥉22 · ⭐ 680) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT

- [GitHub](https://github.com/mapbox/mapboxgl-jupyter) (👨‍💻 23 · 🔀 140 · 📋 110 - 38% open · ⏱️ 06.02.2025):

git clone https://github.com/mapbox/mapboxgl-jupyter

- [PyPi](https://pypi.org/project/mapboxgl) (📥 12K / month · 📦 12 · ⏱️ 02.06.2019):

pip install mapboxgl

Show 7 hidden projects...

- Satpy (🥈34 · ⭐ 1.1K) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 - geopy (🥉32 · ⭐ 4.7K · 💀) - Geocoding library for Python. MIT - Geocoder (🥉32 · ⭐ 1.6K · 💀) - Python Geocoder. MIT - prettymaps (🥉26 · ⭐ 12K) - Draw pretty maps from OpenStreetMap data! Built with osmnx.. ❗️AGPL-3.0 - Sentinelsat (🥉26 · ⭐ 1K · 💀) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 - geoplotlib (🥉21 · ⭐ 1K · 💀) - python toolbox for visualizing geographical data and making maps. MIT - gmaps (🥉21 · ⭐ 760 · 💀) - Google maps for Jupyter notebooks. BSD-3

Financial Data

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

yfinance (🥇43 · ⭐ 18K) - Download market data from Yahoo! Finances API. Apache-2

- [GitHub](https://github.com/ranaroussi/yfinance) (👨‍💻 140 · 🔀 2.7K · 📦 85K · 📋 1.6K - 9% open · ⏱️ 06.07.2025):

git clone https://github.com/ranaroussi/yfinance

- [PyPi](https://pypi.org/project/yfinance) (📥 4.1M / month · 📦 1.1K · ⏱️ 06.07.2025):

pip install yfinance

- [Conda](https://anaconda.org/ranaroussi/yfinance) (📥 98K · ⏱️ 25.03.2025):

conda install -c ranaroussi yfinance

Qlib (🥇31 · ⭐ 26K) - Qlib is an AI-oriented Quant investment platform that aims to use AI tech.. MIT

- [GitHub](https://github.com/microsoft/qlib) (👨‍💻 140 · 🔀 4K · 📥 840 · 📦 21 · 📋 970 - 25% open · ⏱️ 01.07.2025):

git clone https://github.com/microsoft/qlib

- [PyPi](https://pypi.org/project/pyqlib) (📥 9.8K / month · 📦 1 · ⏱️ 23.12.2024):

pip install pyqlib

bt (🥈29 · ⭐ 2.6K) - bt - flexible backtesting for Python. MIT

- [GitHub](https://github.com/pmorissette/bt) (👨‍💻 34 · 🔀 440 · 📦 1.7K · 📋 350 - 23% open · ⏱️ 01.07.2025):

git clone https://github.com/pmorissette/bt

- [PyPi](https://pypi.org/project/bt) (📥 8.9K / month · 📦 15 · ⏱️ 12.04.2025):

pip install bt

- [Conda](https://anaconda.org/conda-forge/bt) (📥 91K · ⏱️ 22.04.2025):

conda install -c conda-forge bt

Alpha Vantage (🥈27 · ⭐ 4.5K) - A python wrapper for Alpha Vantage API for financial data. MIT

- [GitHub](https://github.com/RomelTorres/alpha_vantage) (👨‍💻 44 · 🔀 750 · 📋 290 - 0% open · ⏱️ 01.05.2025):

git clone https://github.com/RomelTorres/alpha_vantage

- [PyPi](https://pypi.org/project/alpha_vantage) (📥 130K / month · 📦 35 · ⏱️ 18.07.2024):

pip install alpha_vantage

- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (📥 9.5K · ⏱️ 22.04.2025):

conda install -c conda-forge alpha_vantage

ffn (🥈27 · ⭐ 2.3K) - ffn - a financial function library for Python. MIT

- [GitHub](https://github.com/pmorissette/ffn) (👨‍💻 36 · 🔀 320 · 📦 560 · 📋 140 - 17% open · ⏱️ 01.07.2025):

git clone https://github.com/pmorissette/ffn

- [PyPi](https://pypi.org/project/ffn) (📥 21K / month · 📦 22 · ⏱️ 11.02.2025):

pip install ffn

- [Conda](https://anaconda.org/conda-forge/ffn) (📥 21K · ⏱️ 22.04.2025):

conda install -c conda-forge ffn

stockstats (🥉26 · ⭐ 1.4K) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3

- [GitHub](https://github.com/jealous/stockstats) (👨‍💻 10 · 🔀 300 · 📦 1.3K · 📋 130 - 10% open · ⏱️ 18.05.2025):

git clone https://github.com/jealous/stockstats

- [PyPi](https://pypi.org/project/stockstats) (📥 20K / month · 📦 14 · ⏱️ 18.05.2025):

pip install stockstats

finmarketpy (🥉22 · ⭐ 3.6K) - Python library for backtesting trading strategies & analyzing.. Apache-2

- [GitHub](https://github.com/cuemacro/finmarketpy) (👨‍💻 19 · 🔀 510 · 📥 57 · 📦 16 · 📋 35 - 88% open · ⏱️ 10.03.2025):

git clone https://github.com/cuemacro/finmarketpy

- [PyPi](https://pypi.org/project/finmarketpy) (📥 190 / month · ⏱️ 10.03.2025):

pip install finmarketpy

tf-quant-finance (🥉21 · ⭐ 4.9K) - High-performance TensorFlow library for quantitative.. Apache-2

- [GitHub](https://github.com/google/tf-quant-finance) (👨‍💻 48 · 🔀 610 · 📋 63 - 55% open · ⏱️ 21.03.2025):

git clone https://github.com/google/tf-quant-finance

- [PyPi](https://pypi.org/project/tf-quant-finance) (📥 580 / month · 📦 3 · ⏱️ 19.08.2022):

pip install tf-quant-finance

Show 17 hidden projects...

- zipline (🥇32 · ⭐ 19K · 💀) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2 - ta (🥇31 · ⭐ 4.7K · 💀) - Technical Analysis Library using Pandas and Numpy. MIT - pyfolio (🥈30 · ⭐ 6K · 💀) - Portfolio and risk analytics in Python. Apache-2 - backtrader (🥈29 · ⭐ 18K · 💀) - Python Backtesting library for trading strategies. ❗️GPL-3.0 - arch (🥈29 · ⭐ 1.4K) - ARCH models in Python. ❗Unlicensed - IB-insync (🥈28 · ⭐ 3.1K · 💀) - Python sync/async framework for Interactive Brokers API. BSD-2 - Alphalens (🥈27 · ⭐ 3.8K · 💀) - Performance analysis of predictive (alpha) stock factors. Apache-2 - empyrical (🥈27 · ⭐ 1.4K · 💀) - Common financial risk and performance metrics. Used by.. Apache-2 - Backtesting.py (🥉26 · ⭐ 6.8K) - Backtest trading strategies in Python. ❗️AGPL-3.0 - TensorTrade (🥉26 · ⭐ 5.2K · 💀) - An open source reinforcement learning framework for.. Apache-2 - Enigma Catalyst (🥉25 · ⭐ 2.5K · 💀) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2 - PyAlgoTrade (🥉24 · ⭐ 4.6K · 💀) - Python Algorithmic Trading Library. Apache-2 - FinTA (🥉24 · ⭐ 2.2K · 💀) - Common financial technical indicators implemented in Pandas. ❗️LGPL-3.0 - Crypto Signals (🥉22 · ⭐ 5.3K · 💀) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT - FinQuant (🥉22 · ⭐ 1.6K · 💀) - A program for financial portfolio management, analysis and.. MIT - surpriver (🥉12 · ⭐ 1.8K · 💀) - Find big moving stocks before they move using machine.. ❗️GPL-3.0 - pyrtfolio (🥉9 · ⭐ 150 · 💀) - Python package to generate stock portfolios. ❗️GPL-3.0

Time Series Data

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

sktime (🥇40 · ⭐ 9.1K) - A unified framework for machine learning with time series. BSD-3

- [GitHub](https://github.com/sktime/sktime) (👨‍💻 470 · 🔀 1.7K · 📥 110 · 📦 4.6K · 📋 2.9K - 38% open · ⏱️ 09.07.2025):

git clone https://github.com/alan-turing-institute/sktime

- [PyPi](https://pypi.org/project/sktime) (📥 1.1M / month · 📦 150 · ⏱️ 04.07.2025):

pip install sktime

- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (📥 1.1M · ⏱️ 05.07.2025):

conda install -c conda-forge sktime-all-extras

Prophet (🥇35 · ⭐ 19K) - Tool for producing high quality forecasts for time series data that has.. MIT

- [GitHub](https://github.com/facebook/prophet) (👨‍💻 190 · 🔀 4.6K · 📥 3.1K · 📦 21 · 📋 2.2K - 20% open · ⏱️ 30.05.2025):

git clone https://github.com/facebook/prophet

- [PyPi](https://pypi.org/project/fbprophet) (📥 140K / month · 📦 91 · ⏱️ 05.09.2020):

pip install fbprophet

- [Conda](https://anaconda.org/conda-forge/prophet) (📥 1.5M · ⏱️ 22.04.2025):

conda install -c conda-forge prophet

tslearn (🥇34 · ⭐ 3K) - The machine learning toolkit for time series analysis in Python. BSD-2

- [GitHub](https://github.com/tslearn-team/tslearn) (👨‍💻 44 · 🔀 350 · 📦 1.9K · 📋 350 - 42% open · ⏱️ 08.07.2025):

git clone https://github.com/tslearn-team/tslearn

- [PyPi](https://pypi.org/project/tslearn) (📥 440K / month · 📦 110 · ⏱️ 02.07.2025):

pip install tslearn

- [Conda](https://anaconda.org/conda-forge/tslearn) (📥 1.6M · ⏱️ 03.07.2025):

conda install -c conda-forge tslearn

StatsForecast (🥈33 · ⭐ 4.4K) - Lightning fast forecasting with statistical and econometric.. Apache-2

- [GitHub](https://github.com/Nixtla/statsforecast) (👨‍💻 52 · 🔀 320 · 📦 1.8K · 📋 380 - 32% open · ⏱️ 08.07.2025):

git clone https://github.com/Nixtla/statsforecast

- [PyPi](https://pypi.org/project/statsforecast) (📥 1M / month · 📦 80 · ⏱️ 05.07.2025):

pip install statsforecast

- [Conda](https://anaconda.org/conda-forge/statsforecast) (📥 190K · ⏱️ 22.04.2025):

conda install -c conda-forge statsforecast

Darts (🥈32 · ⭐ 8.7K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2

- [GitHub](https://github.com/unit8co/darts) (👨‍💻 140 · 🔀 940 · 📋 1.7K - 14% open · ⏱️ 04.07.2025):

git clone https://github.com/unit8co/darts

- [PyPi](https://pypi.org/project/u8darts) (📥 71K / month · 📦 10 · ⏱️ 29.06.2025):

pip install u8darts

- [Conda](https://anaconda.org/conda-forge/u8darts-all) (📥 84K · ⏱️ 30.06.2025):

conda install -c conda-forge u8darts-all

- [Docker Hub](https://hub.docker.com/r/unit8/darts) (📥 1.8K · ⏱️ 29.06.2025):

docker pull unit8/darts

pytorch-forecasting (🥈32 · ⭐ 4.4K) - Time series forecasting with PyTorch. MIT

- [GitHub](https://github.com/sktime/pytorch-forecasting) (👨‍💻 73 · 🔀 680 · 📦 660 · 📋 880 - 60% open · ⏱️ 10.07.2025):

git clone https://github.com/jdb78/pytorch-forecasting

- [PyPi](https://pypi.org/project/pytorch-forecasting) (📥 250K / month · 📦 25 · ⏱️ 14.06.2025):

pip install pytorch-forecasting

- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (📥 81K · ⏱️ 05.07.2025):

conda install -c conda-forge pytorch-forecasting

NeuralForecast (🥈32 · ⭐ 3.6K) - Scalable and user friendly neural forecasting algorithms. Apache-2

- [GitHub](https://github.com/Nixtla/neuralforecast) (👨‍💻 52 · 🔀 430 · 📦 410 · 📋 630 - 17% open · ⏱️ 10.07.2025):

git clone https://github.com/Nixtla/neuralforecast

- [PyPi](https://pypi.org/project/neuralforecast) (📥 84K / month · 📦 29 · ⏱️ 17.06.2025):

pip install neuralforecast

- [Conda](https://anaconda.org/conda-forge/neuralforecast) (📥 41K · ⏱️ 22.04.2025):

conda install -c conda-forge neuralforecast

pmdarima (🥈32 · ⭐ 1.7K · 💤) - A statistical library designed to fill the void in Pythons time.. MIT

- [GitHub](https://github.com/alkaline-ml/pmdarima) (👨‍💻 23 · 🔀 240 · 📦 13K · 📋 340 - 19% open · ⏱️ 07.11.2024):

git clone https://github.com/alkaline-ml/pmdarima

- [PyPi](https://pypi.org/project/pmdarima) (📥 3.4M / month · 📦 150 · ⏱️ 23.10.2023):

pip install pmdarima

- [Conda](https://anaconda.org/conda-forge/pmdarima) (📥 1.4M · ⏱️ 22.04.2025):

conda install -c conda-forge pmdarima

tsfresh (🥈31 · ⭐ 8.8K) - Automatic extraction of relevant features from time series:. MIT

- [GitHub](https://github.com/blue-yonder/tsfresh) (👨‍💻 99 · 🔀 1.2K · 📦 21 · 📋 550 - 12% open · ⏱️ 16.02.2025):

git clone https://github.com/blue-yonder/tsfresh

- [PyPi](https://pypi.org/project/tsfresh) (📥 340K / month · 📦 100 · ⏱️ 16.02.2025):

pip install tsfresh

- [Conda](https://anaconda.org/conda-forge/tsfresh) (📥 1.5M · ⏱️ 22.04.2025):

conda install -c conda-forge tsfresh

STUMPY (🥈31 · ⭐ 3.9K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3

- [GitHub](https://github.com/stumpy-dev/stumpy) (👨‍💻 40 · 🔀 330 · 📦 1.6K · 📋 540 - 13% open · ⏱️ 18.06.2025):

git clone https://github.com/TDAmeritrade/stumpy

- [PyPi](https://pypi.org/project/stumpy) (📥 380K / month · 📦 30 · ⏱️ 09.07.2024):

pip install stumpy

- [Conda](https://anaconda.org/conda-forge/stumpy) (📥 1.1M · ⏱️ 22.04.2025):

conda install -c conda-forge stumpy

skforecast (🥈31 · ⭐ 1.3K) - Time series forecasting with machine learning models. BSD-3

- [GitHub](https://github.com/skforecast/skforecast) (👨‍💻 20 · 🔀 160 · 📦 480 · 📋 200 - 14% open · ⏱️ 29.05.2025):

git clone https://github.com/JoaquinAmatRodrigo/skforecast

- [PyPi](https://pypi.org/project/skforecast) (📥 71K / month · 📦 18 · ⏱️ 01.05.2025):

pip install skforecast

GluonTS (🥈29 · ⭐ 4.9K) - Probabilistic time series modeling in Python. Apache-2

- [GitHub](https://github.com/awslabs/gluonts) (👨‍💻 120 · 🔀 790 · 📋 970 - 34% open · ⏱️ 27.06.2025):

git clone https://github.com/awslabs/gluon-ts

- [PyPi](https://pypi.org/project/gluonts) (📥 1.9M / month · 📦 41 · ⏱️ 27.06.2025):

pip install gluonts

- [Conda](https://anaconda.org/anaconda/gluonts) (📥 2.3K · ⏱️ 22.04.2025):

conda install -c anaconda gluonts

pyts (🥉27 · ⭐ 1.8K) - A Python package for time series classification. BSD-3

- [GitHub](https://github.com/johannfaouzi/pyts) (👨‍💻 15 · 🔀 170 · 📦 880 · 📋 87 - 58% open · ⏱️ 18.06.2025):

git clone https://github.com/johannfaouzi/pyts

- [PyPi](https://pypi.org/project/pyts) (📥 140K / month · 📦 45 · ⏱️ 18.06.2023):

pip install pyts

- [Conda](https://anaconda.org/conda-forge/pyts) (📥 34K · ⏱️ 22.04.2025):

conda install -c conda-forge pyts

Streamz (🥉27 · ⭐ 1.3K · 💤) - Real-time stream processing for python. BSD-3

- [GitHub](https://github.com/python-streamz/streamz) (👨‍💻 49 · 🔀 150 · 📦 560 · 📋 270 - 44% open · ⏱️ 22.11.2024):

git clone https://github.com/python-streamz/streamz

- [PyPi](https://pypi.org/project/streamz) (📥 26K / month · 📦 57 · ⏱️ 27.07.2022):

pip install streamz

- [Conda](https://anaconda.org/conda-forge/streamz) (📥 2.3M · ⏱️ 22.04.2025):

conda install -c conda-forge streamz

NeuralProphet (🥉26 · ⭐ 4.1K · 💤) - NeuralProphet: A simple forecasting package. MIT

- [GitHub](https://github.com/ourownstory/neural_prophet) (👨‍💻 55 · 🔀 490 · 📋 570 - 12% open · ⏱️ 13.09.2024):

git clone https://github.com/ourownstory/neural_prophet

- [PyPi](https://pypi.org/project/neuralprophet) (📥 84K / month · 📦 8 · ⏱️ 26.06.2024):

pip install neuralprophet

TSFEL (🥉23 · ⭐ 1K · 💤) - An intuitive library to extract features from time series. BSD-3

- [GitHub](https://github.com/fraunhoferportugal/tsfel) (👨‍💻 20 · 🔀 140 · 📦 220 · 📋 83 - 9% open · ⏱️ 17.10.2024):

git clone https://github.com/fraunhoferportugal/tsfel

- [PyPi](https://pypi.org/project/tsfel) (📥 9.2K / month · 📦 7 · ⏱️ 12.09.2024):

pip install tsfel

greykite (🥉22 · ⭐ 1.8K) - A flexible, intuitive and fast forecasting library. BSD-2

- [GitHub](https://github.com/linkedin/greykite) (👨‍💻 10 · 🔀 110 · 📥 39 · 📦 45 · 📋 110 - 10% open · ⏱️ 20.02.2025):

git clone https://github.com/linkedin/greykite

- [PyPi](https://pypi.org/project/greykite) (📥 6.5K / month · ⏱️ 20.02.2025):

pip install greykite

pydlm (🥉21 · ⭐ 480 · 💤) - A python library for Bayesian time series modeling. BSD-3

- [GitHub](https://github.com/wwrechard/pydlm) (👨‍💻 7 · 🔀 98 · 📦 41 · 📋 51 - 70% open · ⏱️ 07.09.2024):

git clone https://github.com/wwrechard/pydlm

- [PyPi](https://pypi.org/project/pydlm) (📥 89K / month · 📦 2 · ⏱️ 13.08.2024):

pip install pydlm

tsflex (🥉19 · ⭐ 420 · 💤) - Flexible time series feature extraction & processing. MIT

- [GitHub](https://github.com/predict-idlab/tsflex) (👨‍💻 6 · 🔀 26 · 📦 23 · 📋 56 - 58% open · ⏱️ 06.09.2024):

git clone https://github.com/predict-idlab/tsflex

- [PyPi](https://pypi.org/project/tsflex) (📥 650 / month · 📦 2 · ⏱️ 06.09.2024):

pip install tsflex

- [Conda](https://anaconda.org/conda-forge/tsflex) (📥 34K · ⏱️ 22.04.2025):

conda install -c conda-forge tsflex

Show 10 hidden projects...

- PyFlux (🥉25 · ⭐ 2.1K · 💀) - Open source time series library for Python. BSD-3 - ADTK (🥉23 · ⭐ 1.2K · 💀) - A Python toolkit for rule-based/unsupervised anomaly detection in.. MPL-2.0 - luminol (🥉21 · ⭐ 1.2K · 💀) - Anomaly Detection and Correlation library. Apache-2 - tick (🥉21 · ⭐ 510 · 💀) - Module for statistical learning, with a particular emphasis on time-.. BSD-3 - seglearn (🥉20 · ⭐ 580 · 💀) - Python module for machine learning time series:. BSD-3 - matrixprofile-ts (🥉19 · ⭐ 740 · 💀) - A Python library for detecting patterns and anomalies.. Apache-2 - Auto TS (🥉18 · ⭐ 760 · 💀) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 - tsaug (🥉14 · ⭐ 360 · 💀) - A Python package for time series augmentation. Apache-2 - atspy (🥉13 · ⭐ 520 · 💀) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT - tslumen (🥉8 · ⭐ 69 · 💀) - A library for Time Series EDA (exploratory data analysis). Apache-2

Medical Data

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

Nilearn (🥇38 · ⭐ 1.3K) - Machine learning for NeuroImaging in Python. BSD-3

- [GitHub](https://github.com/nilearn/nilearn) (👨‍💻 260 · 🔀 610 · 📥 320 · 📦 4.4K · 📋 2.4K - 12% open · ⏱️ 10.07.2025):

git clone https://github.com/nilearn/nilearn

- [PyPi](https://pypi.org/project/nilearn) (📥 160K / month · 📦 340 · ⏱️ 21.06.2025):

pip install nilearn

- [Conda](https://anaconda.org/conda-forge/nilearn) (📥 340K · ⏱️ 21.06.2025):

conda install -c conda-forge nilearn

MONAI (🥇37 · ⭐ 6.6K) - AI Toolkit for Healthcare Imaging. Apache-2

- [GitHub](https://github.com/Project-MONAI/MONAI) (👨‍💻 230 · 🔀 1.2K · 📦 4.4K · 📋 3.3K - 13% open · ⏱️ 10.07.2025):

git clone https://github.com/Project-MONAI/MONAI

- [PyPi](https://pypi.org/project/monai) (📥 280K / month · 📦 180 · ⏱️ 14.06.2025):

pip install monai

- [Conda](https://anaconda.org/conda-forge/monai) (📥 53K · ⏱️ 14.06.2025):

conda install -c conda-forge monai

MNE (🥈36 · ⭐ 3K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3

- [GitHub](https://github.com/mne-tools/mne-python) (👨‍💻 400 · 🔀 1.3K · 📋 5K - 11% open · ⏱️ 09.07.2025):

git clone https://github.com/mne-tools/mne-python

- [PyPi](https://pypi.org/project/mne) (📥 240K / month · 📦 420 · ⏱️ 18.12.2024):

pip install mne

- [Conda](https://anaconda.org/conda-forge/mne) (📥 550K · ⏱️ 03.07.2025):

conda install -c conda-forge mne

NiBabel (🥈34 · ⭐ 710) - Python package to access a cacophony of neuro-imaging file formats. MIT

- [GitHub](https://github.com/nipy/nibabel) (👨‍💻 110 · 🔀 260 · 📦 30K · 📋 550 - 23% open · ⏱️ 20.05.2025):

git clone https://github.com/nipy/nibabel

- [PyPi](https://pypi.org/project/nibabel) (📥 860K / month · 📦 1.2K · ⏱️ 23.10.2024):

pip install nibabel

- [Conda](https://anaconda.org/conda-forge/nibabel) (📥 930K · ⏱️ 22.04.2025):

conda install -c conda-forge nibabel

Hail (🥈33 · ⭐ 1K) - Cloud-native genomic dataframes and batch computing. MIT

- [GitHub](https://github.com/hail-is/hail) (👨‍💻 98 · 🔀 250 · 📦 170 · 📋 2.5K - 10% open · ⏱️ 08.07.2025):

git clone https://github.com/hail-is/hail

- [PyPi](https://pypi.org/project/hail) (📥 29K / month · 📦 42 · ⏱️ 26.06.2025):

pip install hail

NIPYPE (🥈33 · ⭐ 790) - Workflows and interfaces for neuroimaging packages. Apache-2

- [GitHub](https://github.com/nipy/nipype) (👨‍💻 260 · 🔀 530 · 📦 7.1K · 📋 1.4K - 30% open · ⏱️ 28.04.2025):

git clone https://github.com/nipy/nipype

- [PyPi](https://pypi.org/project/nipype) (📥 340K / month · 📦 150 · ⏱️ 19.03.2025):

pip install nipype

- [Conda](https://anaconda.org/conda-forge/nipype) (📥 830K · ⏱️ 05.05.2025):

conda install -c conda-forge nipype

Lifelines (🥈32 · ⭐ 2.5K · 💤) - Survival analysis in Python. MIT

- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (👨‍💻 120 · 🔀 560 · 📦 4.1K · 📋 980 - 27% open · ⏱️ 29.10.2024):

git clone https://github.com/CamDavidsonPilon/lifelines

- [PyPi](https://pypi.org/project/lifelines) (📥 2M / month · 📦 160 · ⏱️ 29.10.2024):

pip install lifelines

- [Conda](https://anaconda.org/conda-forge/lifelines) (📥 440K · ⏱️ 22.04.2025):

conda install -c conda-forge lifelines

DeepVariant (🥉28 · ⭐ 3.4K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3

- [GitHub](https://github.com/google/deepvariant) (👨‍💻 41 · 🔀 750 · 📥 4.9K · 📦 4 · 📋 930 - 0% open · ⏱️ 16.05.2025):

git clone https://github.com/google/deepvariant

- [Conda](https://anaconda.org/bioconda/deepvariant) (📥 77K · ⏱️ 24.05.2025):

conda install -c bioconda deepvariant

Brainiak (🥉17 · ⭐ 360) - Brain Imaging Analysis Kit. Apache-2

- [GitHub](https://github.com/brainiak/brainiak) (👨‍💻 35 · 🔀 140 · 📋 230 - 38% open · ⏱️ 06.01.2025):

git clone https://github.com/brainiak/brainiak

- [PyPi](https://pypi.org/project/brainiak) (📥 760 / month · ⏱️ 07.01.2025):

pip install brainiak

- [Docker Hub](https://hub.docker.com/r/brainiak/brainiak) (📥 1.9K · ⭐ 1 · ⏱️ 07.01.2025):

docker pull brainiak/brainiak

Show 10 hidden projects...

- DIPY (🥈33 · ⭐ 770) - DIPY is the paragon 3D/4D+ medical imaging library in Python... ❗Unlicensed - NiftyNet (🥉25 · ⭐ 1.4K · 💀) - [unmaintained] An open-source convolutional neural.. Apache-2 - NIPY (🥉23 · ⭐ 390 · 💤) - Neuroimaging in Python FMRI analysis package. ❗Unlicensed - MedPy (🥉22 · ⭐ 600 · 💤) - Medical image processing in Python. ❗️GPL-3.0 - DLTK (🥉20 · ⭐ 1.4K · 💀) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 - Glow (🥉19 · ⭐ 280 · 💤) - An open-source toolkit for large-scale genomic analysis. Apache-2 - MedicalTorch (🥉15 · ⭐ 870 · 💀) - A medical imaging framework for Pytorch. Apache-2 - Medical Detection Toolkit (🥉14 · ⭐ 1.3K · 💀) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2 - DeepNeuro (🥉14 · ⭐ 130 · 💀) - A deep learning python package for neuroimaging data. Made by:. MIT - MedicalNet (🥉12 · ⭐ 2.1K · 💀) - Many studies have shown that the performance on deep learning is.. MIT

Tabular Data

Libraries for processing tabular and structured data.

skrub (🥇29 · ⭐ 1.4K) - Machine learning with dataframes. BSD-3

- [GitHub](https://github.com/skrub-data/skrub) (👨‍💻 67 · 🔀 140 · 📦 95 · 📋 500 - 21% open · ⏱️ 10.07.2025):

git clone https://github.com/skrub-data/skrub

- [PyPi](https://pypi.org/project/skrub) (📥 19K / month · 📦 14 · ⏱️ 06.06.2025):

pip install skrub

pytorch_tabular (🥈22 · ⭐ 1.5K) - A standard framework for modelling Deep Learning Models.. MIT

- [GitHub](https://github.com/manujosephv/pytorch_tabular) (👨‍💻 27 · 🔀 150 · 📥 63 · 📋 170 - 5% open · ⏱️ 19.04.2025):

git clone https://github.com/manujosephv/pytorch_tabular

- [PyPi](https://pypi.org/project/pytorch_tabular) (📥 7.1K / month · 📦 9 · ⏱️ 28.11.2024):

pip install pytorch_tabular

miceforest (🥈22 · ⭐ 380 · 💤) - Multiple Imputation with LightGBM in Python. MIT

- [GitHub](https://github.com/AnotherSamWilson/miceforest) (👨‍💻 8 · 🔀 30 · 📦 250 · 📋 90 - 11% open · ⏱️ 02.08.2024):

git clone https://github.com/AnotherSamWilson/miceforest

- [PyPi](https://pypi.org/project/miceforest) (📥 20K / month · 📦 9 · ⏱️ 02.08.2024):

pip install miceforest

- [Conda](https://anaconda.org/conda-forge/miceforest) (📥 20K · ⏱️ 22.04.2025):

conda install -c conda-forge miceforest

upgini (🥈22 · ⭐ 330) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3

- [GitHub](https://github.com/upgini/upgini) (👨‍💻 13 · 🔀 25 · 📦 9 · ⏱️ 09.07.2025):

git clone https://github.com/upgini/upgini

- [PyPi](https://pypi.org/project/upgini) (📥 8.6K / month · ⏱️ 09.07.2025):

pip install upgini

Show 2 hidden projects...

- carefree-learn (🥉16 · ⭐ 410 · 💀) - Deep Learning PyTorch. MIT - deltapy (🥉12 · ⭐ 550 · 💀) - DeltaPy - Tabular Data Augmentation (by @firmai). MIT

Optical Character Recognition

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

PaddleOCR (🥇44 · ⭐ 51K) - Awesome multilingual OCR and Document Parsing toolkits based.. Apache-2

- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (👨‍💻 300 · 🔀 8.4K · 📥 2M · 📦 6K · 📋 9.9K - 2% open · ⏱️ 09.07.2025):

git clone https://github.com/PaddlePaddle/PaddleOCR

- [PyPi](https://pypi.org/project/paddleocr) (📥 510K / month · 📦 150 · ⏱️ 29.06.2025):

pip install paddleocr

OCRmyPDF (🥇37 · ⭐ 30K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0

- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (👨‍💻 110 · 🔀 2K · 📥 13K · 📦 1.4K · 📋 1.3K - 10% open · ⏱️ 08.07.2025):

git clone https://github.com/ocrmypdf/OCRmyPDF

- [PyPi](https://pypi.org/project/ocrmypdf) (📥 230K / month · 📦 48 · ⏱️ 07.07.2025):

pip install ocrmypdf

- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (📥 100K · ⏱️ 22.04.2025):

conda install -c conda-forge ocrmypdf

EasyOCR (🥈34 · ⭐ 27K · 💤) - Ready-to-use OCR with 80+ supported languages and all popular.. Apache-2

- [GitHub](https://github.com/JaidedAI/EasyOCR) (👨‍💻 130 · 🔀 3.3K · 📥 23M · 📦 16K · 📋 1.1K - 43% open · ⏱️ 24.09.2024):

git clone https://github.com/JaidedAI/EasyOCR

- [PyPi](https://pypi.org/project/easyocr) (📥 1M / month · 📦 250 · ⏱️ 24.09.2024):

pip install easyocr

Tesseract (🥈32 · ⭐ 6.2K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2

- [GitHub](https://github.com/madmaze/pytesseract) (👨‍💻 50 · 🔀 720 · 📋 370 - 3% open · ⏱️ 17.02.2025):

git clone https://github.com/madmaze/pytesseract

- [PyPi](https://pypi.org/project/pytesseract) (📥 3.9M / month · 📦 970 · ⏱️ 16.08.2024):

pip install pytesseract

- [Conda](https://anaconda.org/conda-forge/pytesseract) (📥 670K · ⏱️ 22.04.2025):

conda install -c conda-forge pytesseract

tesserocr (🥈30 · ⭐ 2.1K) - A Python wrapper for the tesseract-ocr API. MIT

- [GitHub](https://github.com/sirfz/tesserocr) (👨‍💻 32 · 🔀 260 · 📥 1.1K · 📦 1.3K · 📋 280 - 17% open · ⏱️ 08.05.2025):

git clone https://github.com/sirfz/tesserocr

- [PyPi](https://pypi.org/project/tesserocr) (📥 110K / month · 📦 43 · ⏱️ 12.02.2025):

pip install tesserocr

- [Conda](https://anaconda.org/conda-forge/tesserocr) (📥 270K · ⏱️ 22.04.2025):

conda install -c conda-forge tesserocr

MMOCR (🥉27 · ⭐ 4.6K · 💤) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2

- [GitHub](https://github.com/open-mmlab/mmocr) (👨‍💻 90 · 🔀 760 · 📦 230 · 📋 930 - 20% open · ⏱️ 27.11.2024):

git clone https://github.com/open-mmlab/mmocr

- [PyPi](https://pypi.org/project/mmocr) (📥 3.5K / month · 📦 4 · ⏱️ 05.05.2022):

pip install mmocr

Show 6 hidden projects...

- keras-ocr (🥉25 · ⭐ 1.5K · 💀) - A packaged and flexible version of the CRAFT text detector.. MIT - calamari (🥉22 · ⭐ 1.2K) - Line based ATR Engine based on OCRopy. ❗️GPL-3.0 - pdftabextract (🥉21 · ⭐ 2.2K · 💀) - A set of tools for extracting tables from PDF files.. Apache-2 - doc2text (🥉20 · ⭐ 1.3K · 💀) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python.. MIT - attention-ocr (🥉20 · ⭐ 1.1K · 💀) - A Tensorflow model for text recognition (CNN + seq2seq.. MIT - Mozart (🥉10 · ⭐ 670 · 💀) - An optical music recognition (OMR) system. Converts sheet.. Apache-2

Data Containers & Structures

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

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

Data Loading & Extraction

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

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

Web Scraping & Crawling

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

🔗 best-of-web-python - Web Scraping ( ⭐ 2.5K · 💀) - Collection of web-scraping and crawling libraries.

Data Pipelines & Streaming

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

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

Show 1 hidden projects...

- pyclugen (🥇12 · ⭐ 10) - Multidimensional cluster generation in Python. MIT

Distributed Machine Learning

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

Ray (🥇47 · ⭐ 38K) - Ray is an AI compute engine. Ray consists of a core distributed runtime.. Apache-2

- [GitHub](https://github.com/ray-project/ray) (👨‍💻 1.3K · 🔀 6.5K · 📥 260 · 📦 26K · 📋 21K - 14% open · ⏱️ 10.07.2025):

git clone https://github.com/ray-project/ray

- [PyPi](https://pypi.org/project/ray) (📥 14M / month · 📦 980 · ⏱️ 17.06.2025):

pip install ray

- [Conda](https://anaconda.org/conda-forge/ray-tune) (📥 820K · ⏱️ 22.06.2025):

conda install -c conda-forge ray-tune

dask (🥇45 · ⭐ 13K) - Parallel computing with task scheduling. BSD-3

- [GitHub](https://github.com/dask/dask) (👨‍💻 620 · 🔀 1.8K · 📦 76K · 📋 5.6K - 20% open · ⏱️ 10.07.2025):

git clone https://github.com/dask/dask

- [PyPi](https://pypi.org/project/dask) (📥 14M / month · 📦 2.9K · ⏱️ 20.05.2025):

pip install dask

- [Conda](https://anaconda.org/conda-forge/dask) (📥 14M · ⏱️ 08.07.2025):

conda install -c conda-forge dask

DeepSpeed (🥇41 · ⭐ 39K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2

- [GitHub](https://github.com/deepspeedai/DeepSpeed) (👨‍💻 400 · 🔀 4.5K · 📦 14K · 📋 3.1K - 34% open · ⏱️ 09.07.2025):

git clone https://github.com/microsoft/DeepSpeed

- [PyPi](https://pypi.org/project/deepspeed) (📥 600K / month · 📦 300 · ⏱️ 07.07.2025):

pip install deepspeed

- [Docker Hub](https://hub.docker.com/r/deepspeed/deepspeed) (📥 22K · ⭐ 4 · ⏱️ 02.09.2022):

docker pull deepspeed/deepspeed

dask.distributed (🥇39 · ⭐ 1.6K) - A distributed task scheduler for Dask. BSD-3

- [GitHub](https://github.com/dask/distributed) (👨‍💻 340 · 🔀 730 · 📦 41K · 📋 4K - 38% open · ⏱️ 01.07.2025):

git clone https://github.com/dask/distributed

- [PyPi](https://pypi.org/project/distributed) (📥 4.3M / month · 📦 970 · ⏱️ 20.05.2025):

pip install distributed

- [Conda](https://anaconda.org/conda-forge/distributed) (📥 18M · ⏱️ 08.07.2025):

conda install -c conda-forge distributed

horovod (🥈36 · ⭐ 15K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2

- [GitHub](https://github.com/horovod/horovod) (👨‍💻 170 · 🔀 2.3K · 📦 1.4K · 📋 2.3K - 17% open · ⏱️ 01.02.2025):

git clone https://github.com/horovod/horovod

- [PyPi](https://pypi.org/project/horovod) (📥 67K / month · 📦 34 · ⏱️ 12.06.2023):

pip install horovod

metrics (🥈36 · ⭐ 2.3K) - Machine learning metrics for distributed, scalable PyTorch.. Apache-2

- [GitHub](https://github.com/Lightning-AI/torchmetrics) (👨‍💻 280 · 🔀 440 · 📥 6.7K · 📦 44K · 📋 960 - 7% open · ⏱️ 08.07.2025):

git clone https://github.com/Lightning-AI/metrics

- [PyPi](https://pypi.org/project/metrics) (📥 5.5K / month · 📦 4 · ⏱️ 26.02.2025):

pip install metrics

- [Conda](https://anaconda.org/conda-forge/torchmetrics) (📥 2M · ⏱️ 06.07.2025):

conda install -c conda-forge torchmetrics

H2O-3 (🥈34 · ⭐ 7.2K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2

- [GitHub](https://github.com/h2oai/h2o-3) (👨‍💻 280 · 🔀 2K · 📦 98 · 📋 9.6K - 30% open · ⏱️ 19.06.2025):

git clone https://github.com/h2oai/h2o-3

- [PyPi](https://pypi.org/project/h2o) (📥 210K / month · 📦 58 · ⏱️ 27.03.2025):

pip install h2o

ColossalAI (🥈32 · ⭐ 41K) - Making large AI models cheaper, faster and more accessible. Apache-2

- [GitHub](https://github.com/hpcaitech/ColossalAI) (👨‍💻 190 · 🔀 4.5K · 📦 520 · 📋 1.8K - 26% open · ⏱️ 10.07.2025):

git clone https://github.com/hpcaitech/colossalai

BigDL (🥈32 · ⭐ 8.1K) - Accelerate local LLM inference and finetuning (LLaMA, Mistral,.. Apache-2

- [GitHub](https://github.com/intel/ipex-llm) (👨‍💻 120 · 🔀 1.4K · 📥 700 · 📋 3K - 40% open · ⏱️ 09.07.2025):

git clone https://github.com/intel-analytics/BigDL

- [PyPi](https://pypi.org/project/bigdl) (📥 5.5K / month · 📦 2 · ⏱️ 24.03.2024):

pip install bigdl

- [Maven](https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4) (📦 5 · ⏱️ 20.04.2021):

<dependency>
    <groupId>com.intel.analytics.bigdl</groupId>
    <artifactId>bigdl-SPARK_2.4</artifactId>
    <version>[VERSION]</version>
</dependency>

mpi4py (🥈32 · ⭐ 860) - Python bindings for MPI. BSD-3

- [GitHub](https://github.com/mpi4py/mpi4py) (👨‍💻 27 · 🔀 130 · 📥 35K · 📋 220 - 3% open · ⏱️ 10.07.2025):

git clone https://github.com/mpi4py/mpi4py

- [PyPi](https://pypi.org/project/mpi4py) (📥 530K / month · 📦 930 · ⏱️ 25.06.2025):

pip install mpi4py

- [Conda](https://anaconda.org/conda-forge/mpi4py) (📥 4.1M · ⏱️ 25.06.2025):

conda install -c conda-forge mpi4py

Submit it (🥈31 · ⭐ 1.5K) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT

- [GitHub](https://github.com/facebookincubator/submitit) (👨‍💻 26 · 🔀 140 · 📦 4.6K · 📋 130 - 39% open · ⏱️ 21.05.2025):

git clone https://github.com/facebookincubator/submitit

- [PyPi](https://pypi.org/project/submitit) (📥 660K / month · 📦 74 · ⏱️ 21.05.2025):

pip install submitit

- [Conda](https://anaconda.org/conda-forge/submitit) (📥 62K · ⏱️ 22.04.2025):

conda install -c conda-forge submitit

SynapseML (🥈30 · ⭐ 5.1K) - Simple and Distributed Machine Learning. MIT

- [GitHub](https://github.com/microsoft/SynapseML) (👨‍💻 120 · 🔀 850 · 📋 810 - 49% open · ⏱️ 09.07.2025):

git clone https://github.com/microsoft/SynapseML

- [PyPi](https://pypi.org/project/synapseml) (📥 880K / month · 📦 7 · ⏱️ 03.07.2025):

pip install synapseml

FairScale (🥈30 · ⭐ 3.3K) - PyTorch extensions for high performance and large scale training. BSD-3

- [GitHub](https://github.com/facebookresearch/fairscale) (👨‍💻 76 · 🔀 290 · 📦 8.7K · 📋 390 - 26% open · ⏱️ 26.04.2025):

git clone https://github.com/facebookresearch/fairscale

- [PyPi](https://pypi.org/project/fairscale) (📥 630K / month · 📦 150 · ⏱️ 11.12.2022):

pip install fairscale

- [Conda](https://anaconda.org/conda-forge/fairscale) (📥 480K · ⏱️ 22.04.2025):

conda install -c conda-forge fairscale

dask-ml (🥈29 · ⭐ 940) - Scalable Machine Learning with Dask. BSD-3

- [GitHub](https://github.com/dask/dask-ml) (👨‍💻 81 · 🔀 260 · 📦 1.3K · 📋 550 - 51% open · ⏱️ 10.05.2025):

git clone https://github.com/dask/dask-ml

- [PyPi](https://pypi.org/project/dask-ml) (📥 120K / month · 📦 100 · ⏱️ 08.02.2025):

pip install dask-ml

- [Conda](https://anaconda.org/conda-forge/dask-ml) (📥 1M · ⏱️ 22.04.2025):

conda install -c conda-forge dask-ml

Hivemind (🥉26 · ⭐ 2.2K) - Decentralized deep learning in PyTorch. Built to train models on.. MIT

- [GitHub](https://github.com/learning-at-home/hivemind) (👨‍💻 34 · 🔀 180 · 📦 130 · 📋 190 - 43% open · ⏱️ 06.05.2025):

git clone https://github.com/learning-at-home/hivemind

- [PyPi](https://pypi.org/project/hivemind) (📥 2K / month · 📦 12 · ⏱️ 20.04.2025):

pip install hivemind

MMLSpark (🥉23 · ⭐ 5.1K) - Simple and Distributed Machine Learning. MIT

- [GitHub](https://github.com/microsoft/SynapseML) (👨‍💻 120 · 🔀 850 · 📋 810 - 49% open · ⏱️ 09.07.2025):

git clone https://github.com/microsoft/SynapseML

- [PyPi](https://pypi.org/project/mmlspark) (⏱️ 18.03.2020):

pip install mmlspark

Apache Singa (🥉23 · ⭐ 3.5K) - a distributed deep learning platform. Apache-2

- [GitHub](https://github.com/apache/singa) (👨‍💻 97 · 🔀 1.3K · 📦 6 · 📋 140 - 35% open · ⏱️ 26.03.2025):

git clone https://github.com/apache/singa

- [Conda](https://anaconda.org/nusdbsystem/singa) (📥 1.1K · ⏱️ 25.03.2025):

conda install -c nusdbsystem singa

- [Docker Hub](https://hub.docker.com/r/apache/singa) (📥 9.3K · ⭐ 4 · ⏱️ 31.05.2022):

docker pull apache/singa

analytics-zoo (🥉22 · ⭐ 2.6K) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2

- [GitHub](https://github.com/intel/analytics-zoo) (👨‍💻 110 · 🔀 730 · 📋 1.3K - 32% open · ⏱️ 09.01.2025):

git clone https://github.com/intel-analytics/analytics-zoo

- [PyPi](https://pypi.org/project/analytics-zoo) (📥 740 / month · 📦 1 · ⏱️ 22.08.2022):

pip install analytics-zoo

Show 18 hidden projects...

- DEAP (🥈34 · ⭐ 6.1K) - Distributed Evolutionary Algorithms in Python. ❗️LGPL-3.0 - ipyparallel (🥉28 · ⭐ 2.6K) - IPython Parallel: Interactive Parallel Computing in.. ❗Unlicensed - petastorm (🥉28 · ⭐ 1.8K · 💀) - Petastorm library enables single machine or distributed.. Apache-2 - TensorFlowOnSpark (🥉25 · ⭐ 3.9K · 💀) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2 - Elephas (🥉25 · ⭐ 1.6K · 💀) - Distributed Deep learning with Keras & Spark. MIT keras - Mesh (🥉22 · ⭐ 1.6K · 💀) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2 - BytePS (🥉21 · ⭐ 3.7K · 💀) - A high performance and generic framework for distributed DNN.. Apache-2 - sk-dist (🥉20 · ⭐ 280 · 💀) - Distributed scikit-learn meta-estimators in PySpark. Apache-2 - somoclu (🥉20 · ⭐ 280 · 💀) - Massively parallel self-organizing maps: accelerate training on.. MIT - mesh-transformer-jax (🥉18 · ⭐ 6.3K · 💀) - Model parallel transformers in JAX and Haiku. Apache-2 - launchpad (🥉18 · ⭐ 320 · 💀) - Launchpad is a library that simplifies writing.. Apache-2 - Fiber (🥉17 · ⭐ 1K · 💀) - Distributed Computing for AI Made Simple. Apache-2 - parallelformers (🥉17 · ⭐ 790 · 💀) - Parallelformers: An Efficient Model Parallelization.. Apache-2 - bluefog (🥉17 · ⭐ 290 · 💀) - Distributed and decentralized training framework for PyTorch.. Apache-2 - TensorFrames (🥉15 · ⭐ 720 · 💀) - Tensorflow wrapper for DataFrames on Apache Spark. Apache-2 - LazyCluster (🥉14 · ⭐ 49 · 💀) - Distributed machine learning made simple. Apache-2 - autodist (🥉13 · ⭐ 130 · 💀) - Simple Distributed Deep Learning on TensorFlow. Apache-2 - moolib (🥉11 · ⭐ 370 · 💀) - A library for distributed ML training with PyTorch. MIT

Hyperparameter Optimization & AutoML

Libraries for hyperparameter optimization, automl and neural architecture search.

Optuna (🥇44 · ⭐ 12K) - A hyperparameter optimization framework. MIT

- [GitHub](https://github.com/optuna/optuna) (👨‍💻 310 · 🔀 1.1K · 📦 29K · 📋 1.8K - 3% open · ⏱️ 10.07.2025):

git clone https://github.com/optuna/optuna

- [PyPi](https://pypi.org/project/optuna) (📥 4.8M / month · 📦 1.4K · ⏱️ 16.06.2025):

pip install optuna

- [Conda](https://anaconda.org/conda-forge/optuna) (📥 3M · ⏱️ 17.06.2025):

conda install -c conda-forge optuna

AutoGluon (🥇36 · ⭐ 9.1K) - Fast and Accurate ML in 3 Lines of Code. Apache-2

- [GitHub](https://github.com/autogluon/autogluon) (👨‍💻 140 · 🔀 1K · 📦 1.2K · 📋 1.7K - 24% open · ⏱️ 10.07.2025):

git clone https://github.com/autogluon/autogluon

- [PyPi](https://pypi.org/project/autogluon) (📥 140K / month · 📦 35 · ⏱️ 10.07.2025):

pip install autogluon

- [Conda](https://anaconda.org/conda-forge/autogluon) (📥 39K · ⏱️ 29.05.2025):

conda install -c conda-forge autogluon

- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (📥 18K · ⭐ 19 · ⏱️ 16.06.2025):

docker pull autogluon/autogluon

Ax (🥇36 · ⭐ 2.5K) - Adaptive Experimentation Platform. MIT

- [GitHub](https://github.com/facebook/Ax) (👨‍💻 190 · 🔀 330 · 📦 1K · 📋 910 - 12% open · ⏱️ 10.07.2025):

git clone https://github.com/facebook/Ax

- [PyPi](https://pypi.org/project/ax-platform) (📥 180K / month · 📦 63 · ⏱️ 08.05.2025):

pip install ax-platform

- [Conda](https://anaconda.org/conda-forge/ax-platform) (📥 42K · ⏱️ 09.05.2025):

conda install -c conda-forge ax-platform

Bayesian Optimization (🥇35 · ⭐ 8.3K) - A Python implementation of global optimization with.. MIT

- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (👨‍💻 51 · 🔀 1.6K · 📥 180 · 📦 3.8K · 📋 390 - 1% open · ⏱️ 03.07.2025):

git clone https://github.com/fmfn/BayesianOptimization

- [PyPi](https://pypi.org/project/bayesian-optimization) (📥 410K / month · 📦 190 · ⏱️ 02.07.2025):

pip install bayesian-optimization

Hyperopt (🥇34 · ⭐ 7.4K · 💤) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3

- [GitHub](https://github.com/hyperopt/hyperopt) (👨‍💻 100 · 🔀 1.1K · 📦 22K · 📋 790 - 18% open · ⏱️ 27.12.2024):

git clone https://github.com/hyperopt/hyperopt

- [PyPi](https://pypi.org/project/hyperopt) (📥 2.6M / month · 📦 450 · ⏱️ 17.11.2021):

pip install hyperopt

- [Conda](https://anaconda.org/conda-forge/hyperopt) (📥 840K · ⏱️ 22.04.2025):

conda install -c conda-forge hyperopt

BoTorch (🥇34 · ⭐ 3.3K) - Bayesian optimization in PyTorch. MIT

- [GitHub](https://github.com/pytorch/botorch) (👨‍💻 140 · 🔀 420 · 📦 1.6K · 📋 590 - 13% open · ⏱️ 10.07.2025):

git clone https://github.com/pytorch/botorch

- [PyPi](https://pypi.org/project/botorch) (📥 280K / month · 📦 110 · ⏱️ 06.05.2025):

pip install botorch

- [Conda](https://anaconda.org/conda-forge/botorch) (📥 160K · ⏱️ 07.05.2025):

conda install -c conda-forge botorch

AutoKeras (🥈32 · ⭐ 9.2K · 💤) - AutoML library for deep learning. Apache-2

- [GitHub](https://github.com/keras-team/autokeras) (👨‍💻 150 · 🔀 1.4K · 📥 20K · 📦 870 · 📋 910 - 16% open · ⏱️ 16.12.2024):

git clone https://github.com/keras-team/autokeras

- [PyPi](https://pypi.org/project/autokeras) (📥 14K / month · 📦 13 · ⏱️ 20.03.2024):

pip install autokeras

featuretools (🥈32 · ⭐ 7.5K · 💤) - An open source python library for automated feature.. BSD-3

- [GitHub](https://github.com/alteryx/featuretools) (👨‍💻 75 · 🔀 890 · 📦 2.1K · 📋 1K - 15% open · ⏱️ 13.11.2024):

git clone https://github.com/alteryx/featuretools

- [PyPi](https://pypi.org/project/featuretools) (📥 75K / month · 📦 74 · ⏱️ 14.05.2024):

pip install featuretools

- [Conda](https://anaconda.org/conda-forge/featuretools) (📥 260K · ⏱️ 22.04.2025):

conda install -c conda-forge featuretools

nevergrad (🥈32 · ⭐ 4.1K) - A Python toolbox for performing gradient-free optimization. MIT

- [GitHub](https://github.com/facebookresearch/nevergrad) (👨‍💻 58 · 🔀 360 · 📦 940 · 📋 310 - 40% open · ⏱️ 23.04.2025):

git clone https://github.com/facebookresearch/nevergrad

- [PyPi](https://pypi.org/project/nevergrad) (📥 220K / month · 📦 72 · ⏱️ 23.04.2025):

pip install nevergrad

- [Conda](https://anaconda.org/conda-forge/nevergrad) (📥 64K · ⏱️ 22.04.2025):

conda install -c conda-forge nevergrad

mljar-supervised (🥈28 · ⭐ 3.2K · 📈) - Python package for AutoML on Tabular Data with Feature.. MIT

- [GitHub](https://github.com/mljar/mljar-supervised) (👨‍💻 30 · 🔀 420 · 📦 170 · 📋 680 - 21% open · ⏱️ 07.07.2025):

git clone https://github.com/mljar/mljar-supervised

- [PyPi](https://pypi.org/project/mljar-supervised) (📥 5.2K / month · 📦 6 · ⏱️ 07.07.2025):

pip install mljar-supervised

- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (📥 46K · ⏱️ 08.07.2025):

conda install -c conda-forge mljar-supervised

lazypredict (🥈27 · ⭐ 3.2K · 📉) - Lazy Predict help build a lot of basic models without much.. MIT

- [GitHub](https://github.com/shankarpandala/lazypredict) (👨‍💻 19 · 🔀 360 · 📦 1.4K · 📋 160 - 64% open · ⏱️ 22.06.2025):

git clone https://github.com/shankarpandala/lazypredict

- [PyPi](https://pypi.org/project/lazypredict) (📥 24K / month · 📦 8 · ⏱️ 05.04.2025):

pip install lazypredict

- [Conda](https://anaconda.org/conda-forge/lazypredict) (📥 5.6K · ⏱️ 22.04.2025):

conda install -c conda-forge lazypredict

Hyperactive (🥈24 · ⭐ 520) - An optimization and data collection toolbox for convenient and fast.. MIT

- [GitHub](https://github.com/SimonBlanke/Hyperactive) (👨‍💻 12 · 🔀 49 · 📥 320 · 📦 38 · 📋 89 - 23% open · ⏱️ 08.07.2025):

git clone https://github.com/SimonBlanke/Hyperactive

- [PyPi](https://pypi.org/project/hyperactive) (📥 2.5K / month · 📦 13 · ⏱️ 15.08.2024):

pip install hyperactive

FEDOT (🥉23 · ⭐ 680) - Automated modeling and machine learning framework FEDOT. BSD-3

- [GitHub](https://github.com/aimclub/FEDOT) (👨‍💻 38 · 🔀 88 · 📦 64 · 📋 570 - 11% open · ⏱️ 02.07.2025):

git clone https://github.com/nccr-itmo/FEDOT

- [PyPi](https://pypi.org/project/fedot) (📥 1.1K / month · 📦 7 · ⏱️ 10.03.2025):

pip install fedot

AlphaPy (🥉21 · ⭐ 1.6K · 💤) - Python AutoML for Trading Systems and Sports Betting. Apache-2

- [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (👨‍💻 5 · 🔀 250 · 📦 10 · 📋 44 - 34% open · ⏱️ 15.12.2024):

git clone https://github.com/ScottfreeLLC/AlphaPy

- [PyPi](https://pypi.org/project/alphapy) (📥 200 / month · ⏱️ 29.08.2020):

pip install alphapy

featurewiz (🥉21 · ⭐ 660) - Use advanced feature engineering strategies and select best.. Apache-2

- [GitHub](https://github.com/AutoViML/featurewiz) (👨‍💻 18 · 🔀 98 · 📦 86 · ⏱️ 19.02.2025):

git clone https://github.com/AutoViML/featurewiz

- [PyPi](https://pypi.org/project/featurewiz) (📥 7.1K / month · 📦 4 · ⏱️ 19.02.2025):

pip install featurewiz

Auto ViML (🥉20 · ⭐ 540) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2

- [GitHub](https://github.com/AutoViML/Auto_ViML) (👨‍💻 9 · 🔀 100 · 📦 28 · ⏱️ 30.01.2025):

git clone https://github.com/AutoViML/Auto_ViML

- [PyPi](https://pypi.org/project/autoviml) (📥 1.7K / month · 📦 3 · ⏱️ 30.01.2025):

pip install autoviml

opytimizer (🥉18 · ⭐ 620 · 💤) - Opytimizer is a Python library consisting of meta-heuristic.. Apache-2

- [GitHub](https://github.com/gugarosa/opytimizer) (👨‍💻 4 · 🔀 42 · 📦 21 · ⏱️ 18.08.2024):

git clone https://github.com/gugarosa/opytimizer

- [PyPi](https://pypi.org/project/opytimizer) (📥 640 / month · ⏱️ 18.08.2024):

pip install opytimizer

Show 35 hidden projects...

- TPOT (🥈33 · ⭐ 9.9K) - A Python Automated Machine Learning tool that optimizes machine.. ❗️LGPL-3.0 - scikit-optimize (🥈32 · ⭐ 2.8K · 💀) - Sequential model-based optimization with a.. BSD-3 - NNI (🥈31 · ⭐ 14K · 💀) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT - auto-sklearn (🥈31 · ⭐ 7.9K · 💀) - Automated Machine Learning with scikit-learn. BSD-3 - Keras Tuner (🥈31 · ⭐ 2.9K · 💀) - A Hyperparameter Tuning Library for Keras. Apache-2 - SMAC3 (🥈28 · ⭐ 1.2K) - SMAC3: A Versatile Bayesian Optimization Package for.. ❗️BSD-1-Clause - Hyperas (🥈27 · ⭐ 2.2K · 💀) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT - GPyOpt (🥈25 · ⭐ 940 · 💀) - Gaussian Process Optimization using GPy. BSD-3 - Talos (🥈24 · ⭐ 1.6K · 💀) - Hyperparameter Experiments with TensorFlow and Keras. MIT - lightwood (🥈24 · ⭐ 480) - Lightwood is Legos for Machine Learning. ❗️GPL-3.0 - AdaNet (🥉23 · ⭐ 3.5K · 💀) - Fast and flexible AutoML with learning guarantees. Apache-2 - auto_ml (🥉23 · ⭐ 1.7K · 💀) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT - HpBandSter (🥉22 · ⭐ 620 · 💀) - a distributed Hyperband implementation on Steroids. BSD-3 - Orion (🥉22 · ⭐ 300 · 💀) - Asynchronous Distributed Hyperparameter Optimization. BSD-3 - igel (🥉21 · ⭐ 3.1K · 💀) - a delightful machine learning tool that allows you to train, test, and.. MIT - MLBox (🥉21 · ⭐ 1.5K · 💀) - MLBox is a powerful Automated Machine Learning python library. ❗️BSD-1-Clause - Test Tube (🥉21 · ⭐ 740 · 💀) - Python library to easily log experiments and parallelize.. MIT - Neuraxle (🥉21 · ⭐ 610 · 💀) - The worlds cleanest AutoML library - Do hyperparameter tuning.. Apache-2 - sklearn-deap (🥉20 · ⭐ 770 · 💀) - Use evolutionary algorithms instead of gridsearch in.. MIT - optunity (🥉20 · ⭐ 420 · 💀) - optimization routines for hyperparameter tuning. BSD-3 - Dragonfly (🥉19 · ⭐ 890 · 💀) - An open source python library for scalable Bayesian optimisation. MIT - Auto Tune Models (🥉19 · ⭐ 530 · 💀) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT - Sherpa (🥉19 · ⭐ 340 · 💀) - Hyperparameter optimization that enables researchers to.. ❗️GPL-3.0 - shap-hypetune (🥉18 · ⭐ 580 · 💀) - A python package for simultaneous Hyperparameters Tuning and.. MIT - Advisor (🥉17 · ⭐ 1.6K · 💀) - Open-source implementation of Google Vizier for hyper parameters.. Apache-2 - Xcessiv (🥉17 · ⭐ 1.3K · 💀) - A web-based application for quick, scalable, and automated.. Apache-2 - automl-gs (🥉16 · ⭐ 1.9K · 💀) - Provide an input CSV and a target field to predict, generate a.. MIT - HyperparameterHunter (🥉16 · ⭐ 710 · 💀) - Easy hyperparameter optimization and automatic result.. MIT - Parfit (🥉15 · ⭐ 200 · 💀) - A package for parallelizing the fit and flexibly scoring of.. MIT - ENAS (🥉13 · ⭐ 2.7K · 💀) - PyTorch implementation of Efficient Neural Architecture Search via.. Apache-2 - Auptimizer (🥉12 · ⭐ 200 · 💀) - An automatic ML model optimization tool. ❗️GPL-3.0 - Hypermax (🥉12 · ⭐ 110 · 💀) - Better, faster hyper-parameter optimization. BSD-3 - model_search (🥉11 · ⭐ 3.3K · 💀) - AutoML algorithms for model architecture search at scale. Apache-2 - Devol (🥉11 · ⭐ 950 · 💀) - Genetic neural architecture search with Keras. MIT - Hypertunity (🥉10 · ⭐ 140 · 💀) - A toolset for black-box hyperparameter optimisation. Apache-2

Reinforcement Learning

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

FinRL (🥇30 · ⭐ 12K) - FinRL: Financial Reinforcement Learning. MIT

- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (👨‍💻 130 · 🔀 2.8K · 📦 100 · 📋 740 - 34% open · ⏱️ 02.07.2025):

git clone https://github.com/AI4Finance-Foundation/FinRL

- [PyPi](https://pypi.org/project/finrl) (📥 4.7K / month · ⏱️ 08.01.2022):

pip install finrl

ViZDoom (🥇30 · ⭐ 1.9K) - Reinforcement Learning environments based on the 1993 game Doom. MIT

- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (👨‍💻 55 · 🔀 400 · 📥 12K · 📦 340 · 📋 470 - 6% open · ⏱️ 29.06.2025):

git clone https://github.com/mwydmuch/ViZDoom

- [PyPi](https://pypi.org/project/vizdoom) (📥 8.9K / month · 📦 17 · ⏱️ 29.06.2025):

pip install vizdoom

Acme (🥈28 · ⭐ 3.7K) - A library of reinforcement learning components and agents. Apache-2

- [GitHub](https://github.com/google-deepmind/acme) (👨‍💻 88 · 🔀 480 · 📦 240 · 📋 270 - 24% open · ⏱️ 29.05.2025):

git clone https://github.com/deepmind/acme

- [PyPi](https://pypi.org/project/dm-acme) (📥 1.4K / month · 📦 3 · ⏱️ 10.02.2022):

pip install dm-acme

- [Conda](https://anaconda.org/conda-forge/dm-acme) (📥 13K · ⏱️ 22.04.2025):

conda install -c conda-forge dm-acme

TF-Agents (🥈28 · ⭐ 2.9K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2

- [GitHub](https://github.com/tensorflow/agents) (👨‍💻 150 · 🔀 720 · 📋 680 - 30% open · ⏱️ 16.06.2025):

git clone https://github.com/tensorflow/agents

- [PyPi](https://pypi.org/project/tf-agents) (📥 33K / month · 📦 14 · ⏱️ 14.12.2023):

pip install tf-agents

Dopamine (🥈26 · ⭐ 11K · 💤) - Dopamine is a research framework for fast prototyping of.. Apache-2

- [GitHub](https://github.com/google/dopamine) (👨‍💻 15 · 🔀 1.4K · 📦 21 · 📋 190 - 54% open · ⏱️ 04.11.2024):

git clone https://github.com/google/dopamine

- [PyPi](https://pypi.org/project/dopamine-rl) (📥 26K / month · 📦 10 · ⏱️ 31.10.2024):

pip install dopamine-rl

TensorForce (🥈26 · ⭐ 3.3K · 💤) - Tensorforce: a TensorFlow library for applied.. Apache-2

- [GitHub](https://github.com/tensorforce/tensorforce) (👨‍💻 85 · 🔀 530 · 📦 460 · 📋 680 - 6% open · ⏱️ 31.07.2024):

git clone https://github.com/tensorforce/tensorforce

- [PyPi](https://pypi.org/project/tensorforce) (📥 620 / month · 📦 4 · ⏱️ 30.08.2021):

pip install tensorforce

RLax (🥈26 · ⭐ 1.3K) - A library of reinforcement learning building blocks in JAX. Apache-2

- [GitHub](https://github.com/google-deepmind/rlax) (👨‍💻 22 · 🔀 91 · 📦 350 · 📋 27 - 29% open · ⏱️ 08.05.2025):

git clone https://github.com/deepmind/rlax

- [PyPi](https://pypi.org/project/rlax) (📥 20K / month · 📦 22 · ⏱️ 08.05.2025):

pip install rlax

PARL (🥉24 · ⭐ 3.4K) - A high-performance distributed training framework for Reinforcement.. Apache-2

- [GitHub](https://github.com/PaddlePaddle/PARL) (👨‍💻 46 · 🔀 820 · 📦 140 · 📋 540 - 23% open · ⏱️ 24.01.2025):

git clone https://github.com/PaddlePaddle/PARL

- [PyPi](https://pypi.org/project/parl) (📥 440 / month · 📦 1 · ⏱️ 13.05.2022):

pip install parl

PFRL (🥉22 · ⭐ 1.2K · 💤) - PFRL: a PyTorch-based deep reinforcement learning library. MIT

- [GitHub](https://github.com/pfnet/pfrl) (👨‍💻 20 · 🔀 150 · 📦 130 · 📋 80 - 41% open · ⏱️ 04.08.2024):

git clone https://github.com/pfnet/pfrl

- [PyPi](https://pypi.org/project/pfrl) (📥 480 / month · 📦 1 · ⏱️ 16.07.2023):

pip install pfrl

ReAgent (🥉21 · ⭐ 3.6K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3

- [GitHub](https://github.com/facebookresearch/ReAgent) (👨‍💻 170 · 🔀 510 · 📋 160 - 53% open · ⏱️ 28.06.2025):

git clone https://github.com/facebookresearch/ReAgent

- [PyPi](https://pypi.org/project/reagent) (📥 39 / month · ⏱️ 27.05.2020):

pip install reagent

rliable (🥉14 · ⭐ 840 · 💤) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on.. Apache-2

- [GitHub](https://github.com/google-research/rliable) (👨‍💻 9 · 🔀 49 · 📦 220 · 📋 21 - 19% open · ⏱️ 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 (🥇41 · ⭐ 36K · 💀) - A toolkit for developing and comparing reinforcement learning.. MIT - baselines (🥈28 · ⭐ 16K · 💀) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT - TensorLayer (🥈27 · ⭐ 7.4K · 💀) - Deep Learning and Reinforcement Learning Library for.. Apache-2 - keras-rl (🥈27 · ⭐ 5.6K · 💀) - Deep Reinforcement Learning for Keras. MIT - garage (🥉25 · ⭐ 2K · 💀) - A toolkit for reproducible reinforcement learning research. MIT - Stable Baselines (🥉24 · ⭐ 4.3K · 💀) - A fork of OpenAI Baselines, implementations of.. MIT - ChainerRL (🥉24 · ⭐ 1.2K · 💀) - ChainerRL is a deep reinforcement learning library built on top of.. MIT - TRFL (🥉22 · ⭐ 3.1K · 💀) - TensorFlow Reinforcement Learning. Apache-2 - Coach (🥉20 · ⭐ 2.3K · 💀) - Reinforcement Learning Coach by Intel AI Lab enables easy.. Apache-2 - SerpentAI (🥉18 · ⭐ 6.9K · 💀) - Game Agent Framework. Helping you create AIs / Bots that learn to.. MIT - DeepMind Lab (🥉17 · ⭐ 7.2K · 💀) - A customisable 3D platform for agent-based AI research. ❗Unlicensed - Maze (🥉12 · ⭐ 280 · 💀) - Maze Applied Reinforcement Learning Framework. ❗️Custom

Recommender Systems

Libraries for building and evaluating recommendation systems.

Recommenders (🥇34 · ⭐ 20K) - Best Practices on Recommendation Systems. MIT

- [GitHub](https://github.com/recommenders-team/recommenders) (👨‍💻 140 · 🔀 3.2K · 📥 750 · 📦 180 · 📋 890 - 18% open · ⏱️ 08.05.2025):

git clone https://github.com/microsoft/recommenders

- [PyPi](https://pypi.org/project/recommenders) (📥 21K / month · 📦 4 · ⏱️ 24.12.2024):

pip install recommenders

torchrec (🥇32 · ⭐ 2.3K) - Pytorch domain library for recommendation systems. BSD-3

- [GitHub](https://github.com/pytorch/torchrec) (👨‍💻 370 · 🔀 530 · 📦 230 · 📋 560 - 72% open · ⏱️ 10.07.2025):

git clone https://github.com/pytorch/torchrec

- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (📥 570 / month · ⏱️ 12.05.2022):

pip install torchrec-nightly-cpu

Cornac (🥈29 · ⭐ 960) - A Comparative Framework for Multimodal Recommender Systems. Apache-2

- [GitHub](https://github.com/PreferredAI/cornac) (👨‍💻 24 · 🔀 150 · 📦 290 · 📋 170 - 17% open · ⏱️ 26.04.2025):

git clone https://github.com/PreferredAI/cornac

- [PyPi](https://pypi.org/project/cornac) (📥 51K / month · 📦 18 · ⏱️ 26.04.2025):

pip install cornac

- [Conda](https://anaconda.org/conda-forge/cornac) (📥 850K · ⏱️ 26.04.2025):

conda install -c conda-forge cornac

RecBole (🥉26 · ⭐ 3.8K) - A unified, comprehensive and efficient recommendation library. MIT

- [GitHub](https://github.com/RUCAIBox/RecBole) (👨‍💻 79 · 🔀 670 · 📋 1K - 30% open · ⏱️ 24.02.2025):

git clone https://github.com/RUCAIBox/RecBole

- [PyPi](https://pypi.org/project/recbole) (📥 62K / month · 📦 2 · ⏱️ 24.02.2025):

pip install recbole

- [Conda](https://anaconda.org/aibox/recbole) (📥 8.7K · ⏱️ 25.03.2025):

conda install -c aibox recbole

TF Recommenders (🥉24 · ⭐ 2K) - TensorFlow Recommenders is a library for building.. Apache-2

- [GitHub](https://github.com/tensorflow/recommenders) (👨‍💻 43 · 🔀 290 · 📋 450 - 59% open · ⏱️ 16.01.2025):

git clone https://github.com/tensorflow/recommenders

- [PyPi](https://pypi.org/project/tensorflow-recommenders) (📥 250K / month · 📦 2 · ⏱️ 03.02.2023):

pip install tensorflow-recommenders

Show 12 hidden projects...

- implicit (🥈30 · ⭐ 3.7K · 💀) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT - lightfm (🥈28 · ⭐ 5K · 💀) - A Python implementation of LightFM, a hybrid recommendation.. Apache-2 - lkpy (🥈28 · ⭐ 300) - Python recommendation toolkit. MIT - scikit-surprise (🥈27 · ⭐ 6.6K · 💀) - A Python scikit for building and analyzing recommender.. BSD-3 - TF Ranking (🥉26 · ⭐ 2.8K · 💀) - Learning to Rank in TensorFlow. Apache-2 - tensorrec (🥉21 · ⭐ 1.3K · 💀) - A TensorFlow recommendation algorithm and framework in.. Apache-2 - fastFM (🥉21 · ⭐ 1.1K · 💀) - fastFM: A Library for Factorization Machines. BSD-3 - recmetrics (🥉19 · ⭐ 580 · 💀) - A library of metrics for evaluating recommender systems. MIT - Spotlight (🥉18 · ⭐ 3K · 💀) - Deep recommender models using PyTorch. MIT - Case Recommender (🥉18 · ⭐ 500 · 💀) - Case Recommender: A Flexible and Extensible Python.. MIT - OpenRec (🥉16 · ⭐ 410 · 💀) - OpenRec is an open-source and modular library for neural network-.. Apache-2 - Collie (🥉10 · ⭐ 100 · 💀) - A library for preparing, training, and evaluating scalable deep.. BSD-3

Privacy Machine Learning

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

Opacus (🥇32 · ⭐ 1.8K) - Training PyTorch models with differential privacy. Apache-2

- [GitHub](https://github.com/pytorch/opacus) (👨‍💻 85 · 🔀 370 · 📥 140 · 📦 1.2K · 📋 340 - 20% open · ⏱️ 30.06.2025):

git clone https://github.com/pytorch/opacus

- [PyPi](https://pypi.org/project/opacus) (📥 120K / month · 📦 49 · ⏱️ 27.05.2025):

pip install opacus

- [Conda](https://anaconda.org/conda-forge/opacus) (📥 25K · ⏱️ 09.07.2025):

conda install -c conda-forge opacus

PySyft (🥈31 · ⭐ 9.7K) - Perform data science on data that remains in someone elses server. Apache-2

- [GitHub](https://github.com/OpenMined/PySyft) (👨‍💻 520 · 🔀 2K · 📥 2.1K · 📦 1 · 📋 3.4K - 1% open · ⏱️ 13.04.2025):

git clone https://github.com/OpenMined/PySyft

- [PyPi](https://pypi.org/project/syft) (📥 7.3K / month · 📦 5 · ⏱️ 13.04.2025):

pip install syft

TensorFlow Privacy (🥈25 · ⭐ 2K) - Library for training machine learning models with.. Apache-2

- [GitHub](https://github.com/tensorflow/privacy) (👨‍💻 60 · 🔀 450 · 📥 190 · 📋 210 - 55% open · ⏱️ 13.06.2025):

git clone https://github.com/tensorflow/privacy

- [PyPi](https://pypi.org/project/tensorflow-privacy) (📥 15K / month · 📦 21 · ⏱️ 14.02.2024):

pip install tensorflow-privacy

TFEncrypted (🥉24 · ⭐ 1.2K · 💤) - A Framework for Encrypted Machine Learning in.. Apache-2

- [GitHub](https://github.com/tf-encrypted/tf-encrypted) (👨‍💻 29 · 🔀 210 · 📦 68 · 📋 440 - 32% open · ⏱️ 25.09.2024):

git clone https://github.com/tf-encrypted/tf-encrypted

- [PyPi](https://pypi.org/project/tf-encrypted) (📥 490 / month · 📦 9 · ⏱️ 16.11.2022):

pip install tf-encrypted

FATE (🥉22 · ⭐ 5.9K · 💤) - An Industrial Grade Federated Learning Framework. Apache-2

- [GitHub](https://github.com/FederatedAI/FATE) (👨‍💻 100 · 🔀 1.6K · 📋 2.1K - 3% open · ⏱️ 19.11.2024):

git clone https://github.com/FederatedAI/FATE

- [PyPi](https://pypi.org/project/ETAF) (📥 1 / month · ⏱️ 06.05.2020):

pip install ETAF

CrypTen (🥉21 · ⭐ 1.6K · 💤) - A framework for Privacy Preserving Machine Learning. MIT

- [GitHub](https://github.com/facebookresearch/CrypTen) (👨‍💻 39 · 🔀 290 · 📋 280 - 28% open · ⏱️ 23.11.2024):

git clone https://github.com/facebookresearch/CrypTen

- [PyPi](https://pypi.org/project/crypten) (📥 440 / month · 📦 1 · ⏱️ 08.12.2022):

pip install crypten

Show 1 hidden projects...

- PipelineDP (🥉20 · ⭐ 280) - PipelineDP is a Python framework for applying differentially.. Apache-2

Workflow & Experiment Tracking

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

mlflow (🥇45 · ⭐ 21K) - Open source platform for the machine learning lifecycle. Apache-2

- [GitHub](https://github.com/mlflow/mlflow) (👨‍💻 870 · 🔀 4.7K · 📦 65K · 📋 4.9K - 39% open · ⏱️ 10.07.2025):

git clone https://github.com/mlflow/mlflow

- [PyPi](https://pypi.org/project/mlflow) (📥 20M / month · 📦 1.2K · ⏱️ 08.07.2025):

pip install mlflow

- [Conda](https://anaconda.org/conda-forge/mlflow) (📥 3.3M · ⏱️ 30.06.2025):

conda install -c conda-forge mlflow

wandb client (🥇44 · ⭐ 10K) - The AI developer platform. Use Weights & Biases to train and fine-.. MIT

- [GitHub](https://github.com/wandb/wandb) (👨‍💻 210 · 🔀 760 · 📥 960 · 📦 83K · 📋 3.6K - 17% open · ⏱️ 10.07.2025):

git clone https://github.com/wandb/client

- [PyPi](https://pypi.org/project/wandb) (📥 18M / month · 📦 2K · ⏱️ 02.07.2025):

pip install wandb

- [Conda](https://anaconda.org/conda-forge/wandb) (📥 1.1M · ⏱️ 02.07.2025):

conda install -c conda-forge wandb

Tensorboard (🥇43 · ⭐ 6.9K) - TensorFlows Visualization Toolkit. Apache-2

- [GitHub](https://github.com/tensorflow/tensorboard) (👨‍💻 330 · 🔀 1.7K · 📦 330K · 📋 1.9K - 36% open · ⏱️ 08.07.2025):

git clone https://github.com/tensorflow/tensorboard

- [PyPi](https://pypi.org/project/tensorboard) (📥 27M / month · 📦 2.5K · ⏱️ 12.02.2025):

pip install tensorboard

- [Conda](https://anaconda.org/conda-forge/tensorboard) (📥 5.7M · ⏱️ 22.04.2025):

conda install -c conda-forge tensorboard

DVC (🥇41 · ⭐ 15K · 📉) - Data Versioning and ML Experiments. Apache-2

- [GitHub](https://github.com/iterative/dvc) (👨‍💻 320 · 🔀 1.2K · 📦 24K · 📋 4.8K - 5% open · ⏱️ 08.07.2025):

git clone https://github.com/iterative/dvc

- [PyPi](https://pypi.org/project/dvc) (📥 900K / month · 📦 140 · ⏱️ 07.07.2025):

pip install dvc

- [Conda](https://anaconda.org/conda-forge/dvc) (📥 2.9M · ⏱️ 07.07.2025):

conda install -c conda-forge dvc

SageMaker SDK (🥇41 · ⭐ 2.2K) - A library for training and deploying machine learning.. Apache-2

- [GitHub](https://github.com/aws/sagemaker-python-sdk) (👨‍💻 490 · 🔀 1.2K · 📦 6.2K · 📋 1.6K - 20% open · ⏱️ 08.07.2025):

git clone https://github.com/aws/sagemaker-python-sdk

- [PyPi](https://pypi.org/project/sagemaker) (📥 24M / month · 📦 190 · ⏱️ 23.06.2025):

pip install sagemaker

- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (📥 1.6M · ⏱️ 29.05.2025):

conda install -c conda-forge sagemaker-python-sdk

Metaflow (🥈36 · ⭐ 9K) - Build, Manage and Deploy AI/ML Systems. Apache-2

- [GitHub](https://github.com/Netflix/metaflow) (👨‍💻 110 · 🔀 840 · 📦 930 · 📋 810 - 43% open · ⏱️ 10.07.2025):

git clone https://github.com/Netflix/metaflow

- [PyPi](https://pypi.org/project/metaflow) (📥 280K / month · 📦 52 · ⏱️ 10.07.2025):

pip install metaflow

- [Conda](https://anaconda.org/conda-forge/metaflow) (📥 310K · ⏱️ 10.07.2025):

conda install -c conda-forge metaflow

PyCaret (🥈34 · ⭐ 9.4K · 📈) - An open-source, low-code machine learning library in Python. MIT

- [GitHub](https://github.com/pycaret/pycaret) (👨‍💻 140 · 🔀 1.8K · 📥 730 · 📦 7.8K · 📋 2.3K - 16% open · ⏱️ 06.03.2025):

git clone https://github.com/pycaret/pycaret

- [PyPi](https://pypi.org/project/pycaret) (📥 400K / month · 📦 31 · ⏱️ 28.04.2024):

pip install pycaret

- [Conda](https://anaconda.org/conda-forge/pycaret) (📥 73K · ⏱️ 22.04.2025):

conda install -c conda-forge pycaret

tensorboardX (🥈34 · ⭐ 8K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT

- [GitHub](https://github.com/lanpa/tensorboardX) (👨‍💻 85 · 🔀 860 · 📥 490 · 📦 59K · 📋 460 - 18% open · ⏱️ 13.06.2025):

git clone https://github.com/lanpa/tensorboardX

- [PyPi](https://pypi.org/project/tensorboardX) (📥 3.2M / month · 📦 740 · ⏱️ 10.06.2025):

pip install tensorboardX

- [Conda](https://anaconda.org/conda-forge/tensorboardx) (📥 1.3M · ⏱️ 22.04.2025):

conda install -c conda-forge tensorboardx

ClearML (🥈34 · ⭐ 6.1K) - ClearML - Auto-Magical CI/CD to streamline your AI workload... Apache-2

- [GitHub](https://github.com/clearml/clearml) (👨‍💻 100 · 🔀 680 · 📥 3.3K · 📦 1.9K · 📋 1.1K - 43% open · ⏱️ 10.07.2025):

git clone https://github.com/allegroai/clearml

- [PyPi](https://pypi.org/project/clearml) (📥 360K / month · 📦 64 · ⏱️ 26.06.2025):

pip install clearml

- [Docker Hub](https://hub.docker.com/r/allegroai/trains) (📥 31K · ⏱️ 05.10.2020):

docker pull allegroai/trains

snakemake (🥈34 · ⭐ 2.5K) - This is the development home of the workflow management system.. MIT

- [GitHub](https://github.com/snakemake/snakemake) (👨‍💻 380 · 🔀 600 · 📦 2.4K · 📋 2K - 59% open · ⏱️ 10.07.2025):

git clone https://github.com/snakemake/snakemake

- [PyPi](https://pypi.org/project/snakemake) (📥 83K / month · 📦 300 · ⏱️ 10.07.2025):

pip install snakemake

- [Conda](https://anaconda.org/bioconda/snakemake) (📥 1.5M · ⏱️ 04.07.2025):

conda install -c bioconda snakemake

kaggle (🥈33 · ⭐ 6.7K) - Official Kaggle API. Apache-2

- [GitHub](https://github.com/Kaggle/kaggle-api) (👨‍💻 49 · 🔀 1.2K · 📦 21 · 📋 520 - 27% open · ⏱️ 09.07.2025):

git clone https://github.com/Kaggle/kaggle-api

- [PyPi](https://pypi.org/project/kaggle) (📥 360K / month · 📦 240 · ⏱️ 08.05.2025):

pip install kaggle

- [Conda](https://anaconda.org/conda-forge/kaggle) (📥 240K · ⏱️ 22.04.2025):

conda install -c conda-forge kaggle

aim (🥈32 · ⭐ 5.7K) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2

- [GitHub](https://github.com/aimhubio/aim) (👨‍💻 82 · 🔀 340 · 📦 920 · 📋 1.1K - 36% open · ⏱️ 26.06.2025):

git clone https://github.com/aimhubio/aim

- [PyPi](https://pypi.org/project/aim) (📥 110K / month · 📦 41 · ⏱️ 11.06.2025):

pip install aim

- [Conda](https://anaconda.org/conda-forge/aim) (📥 130K · ⏱️ 22.04.2025):

conda install -c conda-forge aim

AzureML SDK (🥈30 · ⭐ 4.2K) - Python notebooks with ML and deep learning examples with Azure.. MIT

- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (👨‍💻 65 · 🔀 2.5K · 📥 680 · 📋 1.5K - 26% open · ⏱️ 14.03.2025):

git clone https://github.com/Azure/MachineLearningNotebooks

- [PyPi](https://pypi.org/project/azureml-sdk) (📥 410K / month · 📦 31 · ⏱️ 11.04.2025):

pip install azureml-sdk

VisualDL (🥈29 · ⭐ 4.8K) - Deep Learning Visualization Toolkit. Apache-2

- [GitHub](https://github.com/PaddlePaddle/VisualDL) (👨‍💻 36 · 🔀 630 · 📥 520 · 📦 3.5K · 📋 510 - 30% open · ⏱️ 22.01.2025):

git clone https://github.com/PaddlePaddle/VisualDL

- [PyPi](https://pypi.org/project/visualdl) (📥 170K / month · 📦 82 · ⏱️ 30.10.2024):

pip install visualdl

sacred (🥈29 · ⭐ 4.3K · 💤) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT

- [GitHub](https://github.com/IDSIA/sacred) (👨‍💻 110 · 🔀 380 · 📦 3.6K · 📋 560 - 18% open · ⏱️ 26.11.2024):

git clone https://github.com/IDSIA/sacred

- [PyPi](https://pypi.org/project/sacred) (📥 22K / month · 📦 60 · ⏱️ 26.11.2024):

pip install sacred

- [Conda](https://anaconda.org/conda-forge/sacred) (📥 9.2K · ⏱️ 22.04.2025):

conda install -c conda-forge sacred

Neptune.ai (🥉28 · ⭐ 620) - The experiment tracker for foundation model training. Apache-2

- [GitHub](https://github.com/neptune-ai/neptune-client) (👨‍💻 57 · 🔀 65 · 📋 260 - 12% open · ⏱️ 09.06.2025):

git clone https://github.com/neptune-ai/neptune-client

- [PyPi](https://pypi.org/project/neptune-client) (📥 530K / month · 📦 77 · ⏱️ 15.04.2025):

pip install neptune-client

- [Conda](https://anaconda.org/conda-forge/neptune-client) (📥 360K · ⏱️ 22.04.2025):

conda install -c conda-forge neptune-client

ml-metadata (🥉27 · ⭐ 650) - For recording and retrieving metadata associated with ML.. Apache-2

- [GitHub](https://github.com/google/ml-metadata) (👨‍💻 23 · 🔀 160 · 📥 3K · 📦 700 · 📋 120 - 39% open · ⏱️ 03.04.2025):

git clone https://github.com/google/ml-metadata

- [PyPi](https://pypi.org/project/ml-metadata) (📥 61K / month · 📦 32 · ⏱️ 07.04.2025):

pip install ml-metadata

TNT (🥉26 · ⭐ 1.7K) - A lightweight library for PyTorch training tools and utilities. BSD-3

- [GitHub](https://github.com/pytorch/tnt) (👨‍💻 150 · 🔀 290 · 📋 150 - 56% open · ⏱️ 08.07.2025):

git clone https://github.com/pytorch/tnt

- [PyPi](https://pypi.org/project/torchnet) (📥 5.3K / month · 📦 24 · ⏱️ 29.07.2018):

pip install torchnet

livelossplot (🥉25 · ⭐ 1.3K) - Live training loss plot in Jupyter Notebook for Keras,.. MIT

- [GitHub](https://github.com/stared/livelossplot) (👨‍💻 17 · 🔀 140 · 📦 1.9K · 📋 79 - 7% open · ⏱️ 03.01.2025):

git clone https://github.com/stared/livelossplot

- [PyPi](https://pypi.org/project/livelossplot) (📥 13K / month · 📦 16 · ⏱️ 03.01.2025):

pip install livelossplot

quinn (🥉25 · ⭐ 670 · 💤) - pyspark methods to enhance developer productivity. Apache-2

- [GitHub](https://github.com/mrpowers-io/quinn) (👨‍💻 31 · 🔀 98 · 📥 69 · 📦 93 · 📋 130 - 27% open · ⏱️ 06.12.2024):

git clone https://github.com/MrPowers/quinn

- [PyPi](https://pypi.org/project/quinn) (📥 600K / month · 📦 7 · ⏱️ 13.02.2024):

pip install quinn

gokart (🥉25 · ⭐ 330) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT

- [GitHub](https://github.com/m3dev/gokart) (👨‍💻 48 · 🔀 63 · 📦 85 · 📋 100 - 31% open · ⏱️ 18.06.2025):

git clone https://github.com/m3dev/gokart

- [PyPi](https://pypi.org/project/gokart) (📥 12K / month · 📦 8 · ⏱️ 18.06.2025):

pip install gokart

Labml (🥉24 · ⭐ 2.2K) - Monitor deep learning model training and hardware usage from your mobile.. MIT

- [GitHub](https://github.com/labmlai/labml) (👨‍💻 9 · 🔀 140 · 📦 230 · 📋 50 - 12% open · ⏱️ 10.04.2025):

git clone https://github.com/labmlai/labml

- [PyPi](https://pypi.org/project/labml) (📥 2K / month · 📦 14 · ⏱️ 15.09.2024):

pip install labml

Guild AI (🥉21 · ⭐ 880) - Experiment tracking, ML developer tools. Apache-2

- [GitHub](https://github.com/guildai/guildai) (👨‍💻 30 · 🔀 89 · 📥 31 · 📦 110 · 📋 440 - 50% open · ⏱️ 29.04.2025):

git clone https://github.com/guildai/guildai

- [PyPi](https://pypi.org/project/guildai) (📥 900 / month · ⏱️ 11.05.2022):

pip install guildai

datmo (🥉19 · ⭐ 340) - Open source production model management tool for data scientists. MIT

- [GitHub](https://github.com/datmo/datmo) (👨‍💻 6 · 🔀 30 · 📦 7 · 📋 180 - 17% open · ⏱️ 23.06.2025):

git clone https://github.com/datmo/datmo

- [PyPi](https://pypi.org/project/datmo) (📥 150 / month · ⏱️ 07.12.2018):

pip install datmo

keepsake (🥉18 · ⭐ 1.7K · 💤) - Version control for machine learning. Apache-2

- [GitHub](https://github.com/replicate/keepsake) (👨‍💻 18 · 🔀 71 · 📋 190 - 66% open · ⏱️ 03.12.2024):

git clone https://github.com/replicate/keepsake

- [PyPi](https://pypi.org/project/keepsake) (📥 870 / month · 📦 1 · ⏱️ 25.01.2021):

pip install keepsake

CometML (🥉16) - Supercharging Machine Learning. MIT

- [GitHub]():

git clone https://github.com/comet-ml/examples

- [PyPi](https://pypi.org/project/comet_ml) (📥 740K / month · 📦 96 · ⏱️ 12.06.2025):

pip install comet_ml

- [Conda](https://anaconda.org/anaconda/comet_ml):

conda install -c anaconda comet_ml

Show 14 hidden projects...

- Catalyst (🥈29 · ⭐ 3.4K · 💀) - Accelerated deep learning R&D. Apache-2 - knockknock (🥉26 · ⭐ 2.8K · 💀) - Knock Knock: Get notified when your training ends with only two.. MIT - hiddenlayer (🥉22 · ⭐ 1.8K · 💀) - Neural network graphs and training metrics for.. MIT - SKLL (🥉22 · ⭐ 560 · 💤) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. ❗Unlicensed - lore (🥉21 · ⭐ 1.6K · 💀) - Lore makes machine learning approachable for Software Engineers and.. MIT - TensorBoard Logger (🥉21 · ⭐ 630 · 💀) - Log TensorBoard events without touching TensorFlow. MIT - Studio.ml (🥉21 · ⭐ 380 · 💀) - Studio: Simplify and expedite model building process. Apache-2 - TensorWatch (🥉20 · ⭐ 3.4K · 💀) - Debugging, monitoring and visualization for Python Machine.. MIT - MXBoard (🥉20 · ⭐ 320 · 💀) - Logging MXNet data for visualization in TensorBoard. Apache-2 - chitra (🥉16 · ⭐ 230) - A multi-functional library for full-stack Deep Learning. Simplifies.. Apache-2 - steppy (🥉16 · ⭐ 140 · 💀) - Lightweight, Python library for fast and reproducible experimentation. MIT - caliban (🥉15 · ⭐ 500 · 💀) - Research workflows made easy, locally and in the Cloud. Apache-2 - ModelChimp (🥉12 · ⭐ 130 · 💀) - Experiment tracking for machine and deep learning projects. BSD-2 - traintool (🥉8 · ⭐ 12 · 💀) - Train off-the-shelf machine learning models in one.. Apache-2

Model Serialization & Deployment

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

triton (🥇44 · ⭐ 16K) - Development repository for the Triton language and compiler. MIT

- [GitHub](https://github.com/triton-lang/triton) (👨‍💻 420 · 🔀 2K · 📦 73K · 📋 1.8K - 42% open · ⏱️ 10.07.2025):

git clone https://github.com/openai/triton

- [PyPi](https://pypi.org/project/triton) (📥 27M / month · 📦 420 · ⏱️ 29.05.2025):

pip install triton

onnx (🥇43 · ⭐ 19K) - Open standard for machine learning interoperability. Apache-2

- [GitHub](https://github.com/onnx/onnx) (👨‍💻 350 · 🔀 3.8K · 📥 24K · 📦 48K · 📋 3K - 10% open · ⏱️ 10.07.2025):

git clone https://github.com/onnx/onnx

- [PyPi](https://pypi.org/project/onnx) (📥 7.4M / month · 📦 1.4K · ⏱️ 12.05.2025):

pip install onnx

- [Conda](https://anaconda.org/conda-forge/onnx) (📥 1.9M · ⏱️ 07.07.2025):

conda install -c conda-forge onnx

huggingface_hub (🥈38 · ⭐ 2.8K) - The official Python client for the Huggingface Hub. Apache-2

- [GitHub](https://github.com/huggingface/huggingface_hub) (👨‍💻 250 · 🔀 750 · 📋 1.2K - 14% open · ⏱️ 09.07.2025):

git clone https://github.com/huggingface/huggingface_hub

- [PyPi](https://pypi.org/project/huggingface_hub) (📥 99M / month · 📦 3.3K · ⏱️ 02.07.2025):

pip install huggingface_hub

- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (📥 3.5M · ⏱️ 25.06.2025):

conda install -c conda-forge huggingface_hub

Core ML Tools (🥈36 · ⭐ 4.8K) - Core ML tools contain supporting tools for Core ML model.. BSD-3

- [GitHub](https://github.com/apple/coremltools) (👨‍💻 200 · 🔀 690 · 📥 15K · 📦 5K · 📋 1.5K - 25% open · ⏱️ 12.06.2025):

git clone https://github.com/apple/coremltools

- [PyPi](https://pypi.org/project/coremltools) (📥 950K / month · 📦 98 · ⏱️ 28.04.2025):

pip install coremltools

- [Conda](https://anaconda.org/conda-forge/coremltools) (📥 100K · ⏱️ 22.04.2025):

conda install -c conda-forge coremltools

BentoML (🥈35 · ⭐ 7.9K) - The easiest way to serve AI apps and models - Build Model Inference.. Apache-2

- [GitHub](https://github.com/bentoml/BentoML) (👨‍💻 260 · 🔀 850 · 📥 360 · 📦 2.7K · 📋 1.1K - 12% open · ⏱️ 08.07.2025):

git clone https://github.com/bentoml/BentoML

- [PyPi](https://pypi.org/project/bentoml) (📥 89K / month · 📦 42 · ⏱️ 30.06.2025):

pip install bentoml

TorchServe (🥈33 · ⭐ 4.4K) - Serve, optimize and scale PyTorch models in production. Apache-2

- [GitHub](https://github.com/pytorch/serve) (👨‍💻 220 · 🔀 880 · 📥 7.8K · 📦 880 · 📋 1.7K - 25% open · ⏱️ 17.03.2025):

git clone https://github.com/pytorch/serve

- [PyPi](https://pypi.org/project/torchserve) (📥 88K / month · 📦 26 · ⏱️ 30.09.2024):

pip install torchserve

- [Conda](https://anaconda.org/pytorch/torchserve) (📥 520K · ⏱️ 25.03.2025):

conda install -c pytorch torchserve

- [Docker Hub](https://hub.docker.com/r/pytorch/torchserve) (📥 1.5M · ⭐ 32 · ⏱️ 30.09.2024):

docker pull pytorch/torchserve

hls4ml (🥈30 · ⭐ 1.5K) - Machine learning on FPGAs using HLS. Apache-2

- [GitHub](https://github.com/fastmachinelearning/hls4ml) (👨‍💻 76 · 🔀 440 · 📦 48 · 📋 480 - 41% open · ⏱️ 09.07.2025):

git clone https://github.com/fastmachinelearning/hls4ml

- [PyPi](https://pypi.org/project/hls4ml) (📥 1.9K / month · 📦 1 · ⏱️ 17.03.2025):

pip install hls4ml

- [Conda](https://anaconda.org/conda-forge/hls4ml) (📥 11K · ⏱️ 22.04.2025):

conda install -c conda-forge hls4ml

Hummingbird (🥉23 · ⭐ 3.4K · 💤) - Hummingbird compiles trained ML models into tensor computation.. MIT

- [GitHub](https://github.com/microsoft/hummingbird) (👨‍💻 40 · 🔀 280 · 📥 880 · 📋 330 - 20% open · ⏱️ 24.10.2024):

git clone https://github.com/microsoft/hummingbird

- [PyPi](https://pypi.org/project/hummingbird-ml) (📥 5.2K / month · 📦 7 · ⏱️ 25.10.2024):

pip install hummingbird-ml

- [Conda](https://anaconda.org/conda-forge/hummingbird-ml) (📥 61K · ⏱️ 22.04.2025):

conda install -c conda-forge hummingbird-ml

nebullvm (🥉21 · ⭐ 8.4K · 💤) - A collection of libraries to optimise AI model performances. Apache-2

- [GitHub](https://github.com/nebuly-ai/optimate) (👨‍💻 40 · 🔀 630 · 📋 200 - 49% open · ⏱️ 22.07.2024):

git clone https://github.com/nebuly-ai/nebullvm

- [PyPi](https://pypi.org/project/nebullvm) (📥 240 / month · 📦 2 · ⏱️ 18.06.2023):

pip install nebullvm

tfdeploy (🥉16 · ⭐ 350) - Deploy tensorflow graphs for fast evaluation and export to.. BSD-3

- [GitHub](https://github.com/riga/tfdeploy) (👨‍💻 4 · 🔀 38 · 📋 34 - 32% open · ⏱️ 04.01.2025):

git clone https://github.com/riga/tfdeploy

- [PyPi](https://pypi.org/project/tfdeploy) (📥 26 / month · ⏱️ 30.03.2017):

pip install tfdeploy

Show 10 hidden projects...

- mmdnn (🥈25 · ⭐ 5.8K · 💀) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT - m2cgen (🥈25 · ⭐ 2.9K · 💀) - Transform ML models into a native code (Java, C, Python, Go,.. MIT - sklearn-porter (🥉23 · ⭐ 1.3K · 💀) - Transpile trained scikit-learn estimators to C, Java,.. BSD-3 - cortex (🥉22 · ⭐ 8K · 💀) - Production infrastructure for machine learning at scale. Apache-2 - OMLT (🥉20 · ⭐ 320) - Represent trained machine learning models as Pyomo optimization.. ❗Unlicensed - pytorch2keras (🥉19 · ⭐ 860 · 💀) - PyTorch to Keras model convertor. MIT - Larq Compute Engine (🥉19 · ⭐ 250) - Highly optimized inference engine for Binarized.. Apache-2 - modelkit (🥉17 · ⭐ 150 · 💀) - Toolkit for developing and maintaining ML models. MIT - backprop (🥉15 · ⭐ 240 · 💀) - Backprop makes it simple to use, finetune, and deploy state-of-.. Apache-2 - ml-ane-transformers (🥉13 · ⭐ 2.6K · 💀) - Reference implementation of the Transformer.. ❗Unlicensed

Model Interpretability

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

shap (🥇42 · ⭐ 24K) - A game theoretic approach to explain the output of any machine learning model. MIT

- [GitHub](https://github.com/shap/shap) (👨‍💻 270 · 🔀 3.4K · 📦 35K · 📋 2.6K - 25% open · ⏱️ 03.07.2025):

git clone https://github.com/slundberg/shap

- [PyPi](https://pypi.org/project/shap) (📥 7.1M / month · 📦 1K · ⏱️ 12.06.2025):

pip install shap

- [Conda](https://anaconda.org/conda-forge/shap) (📥 6.6M · ⏱️ 17.06.2025):

conda install -c conda-forge shap

Netron (🥇36 · ⭐ 31K) - Visualizer for neural network, deep learning and machine learning.. MIT

- [GitHub](https://github.com/lutzroeder/netron) (👨‍💻 2 · 🔀 2.9K · 📥 55K · 📦 13 · 📋 1.2K - 1% open · ⏱️ 10.07.2025):

git clone https://github.com/lutzroeder/netron

- [PyPi](https://pypi.org/project/netron) (📥 36K / month · 📦 91 · ⏱️ 03.07.2025):

pip install netron

arviz (🥇36 · ⭐ 1.7K) - Exploratory analysis of Bayesian models with Python. Apache-2

- [GitHub](https://github.com/arviz-devs/arviz) (👨‍💻 180 · 🔀 440 · 📥 180 · 📦 11K · 📋 890 - 19% open · ⏱️ 09.07.2025):

git clone https://github.com/arviz-devs/arviz

- [PyPi](https://pypi.org/project/arviz) (📥 1.7M / month · 📦 410 · ⏱️ 09.07.2025):

pip install arviz

- [Conda](https://anaconda.org/conda-forge/arviz) (📥 2.4M · ⏱️ 10.07.2025):

conda install -c conda-forge arviz

Captum (🥇35 · ⭐ 5.3K) - Model interpretability and understanding for PyTorch. BSD-3

- [GitHub](https://github.com/pytorch/captum) (👨‍💻 130 · 🔀 530 · 📦 3.4K · 📋 600 - 42% open · ⏱️ 07.07.2025):

git clone https://github.com/pytorch/captum

- [PyPi](https://pypi.org/project/captum) (📥 360K / month · 📦 170 · ⏱️ 27.03.2025):

pip install captum

- [Conda](https://anaconda.org/conda-forge/captum) (📥 130K · ⏱️ 22.04.2025):

conda install -c conda-forge captum

InterpretML (🥇34 · ⭐ 6.6K) - Fit interpretable models. Explain blackbox machine learning. MIT

- [GitHub](https://github.com/interpretml/interpret) (👨‍💻 51 · 🔀 760 · 📦 910 · 📋 470 - 22% open · ⏱️ 09.07.2025):

git clone https://github.com/interpretml/interpret

- [PyPi](https://pypi.org/project/interpret) (📥 190K / month · 📦 53 · ⏱️ 09.07.2025):

pip install interpret

evaluate (🥇34 · ⭐ 2.3K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2

- [GitHub](https://github.com/huggingface/evaluate) (👨‍💻 130 · 🔀 280 · 📦 23K · 📋 390 - 62% open · ⏱️ 10.07.2025):

git clone https://github.com/huggingface/evaluate

- [PyPi](https://pypi.org/project/evaluate) (📥 2.8M / month · 📦 590 · ⏱️ 20.06.2025):

pip install evaluate

shapash (🥈31 · ⭐ 2.9K) - Shapash: User-friendly Explainability and Interpretability to.. Apache-2

- [GitHub](https://github.com/MAIF/shapash) (👨‍💻 42 · 🔀 340 · 📦 200 · 📋 240 - 18% open · ⏱️ 12.06.2025):

git clone https://github.com/MAIF/shapash

- [PyPi](https://pypi.org/project/shapash) (📥 11K / month · 📦 4 · ⏱️ 20.03.2025):

pip install shapash

explainerdashboard (🥈31 · ⭐ 2.4K) - Quickly build Explainable AI dashboards that show the inner.. MIT

- [GitHub](https://github.com/oegedijk/explainerdashboard) (👨‍💻 22 · 🔀 340 · 📦 640 · 📋 240 - 16% open · ⏱️ 06.06.2025):

git clone https://github.com/oegedijk/explainerdashboard

- [PyPi](https://pypi.org/project/explainerdashboard) (📥 32K / month · 📦 15 · ⏱️ 03.06.2025):

pip install explainerdashboard

- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (📥 69K · ⏱️ 04.06.2025):

conda install -c conda-forge explainerdashboard

fairlearn (🥈29 · ⭐ 2.1K) - A Python package to assess and improve fairness of machine.. MIT

- [GitHub](https://github.com/fairlearn/fairlearn) (👨‍💻 100 · 🔀 450 · 📦 3 · 📋 540 - 28% open · ⏱️ 10.07.2025):

git clone https://github.com/fairlearn/fairlearn

- [PyPi](https://pypi.org/project/fairlearn) (📥 120K / month · 📦 63 · ⏱️ 11.12.2024):

pip install fairlearn

- [Conda](https://anaconda.org/conda-forge/fairlearn) (📥 48K · ⏱️ 22.04.2025):

conda install -c conda-forge fairlearn

Model Analysis (🥈29 · ⭐ 1.3K) - Model analysis tools for TensorFlow. Apache-2

- [GitHub](https://github.com/tensorflow/model-analysis) (👨‍💻 60 · 🔀 280 · 📋 97 - 39% open · ⏱️ 03.07.2025):

git clone https://github.com/tensorflow/model-analysis

- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (📥 65K / month · 📦 20 · ⏱️ 23.06.2025):

pip install tensorflow-model-analysis

DoWhy (🥈28 · ⭐ 7.6K) - DoWhy is a Python library for causal inference that supports explicit.. MIT

- [GitHub](https://github.com/py-why/dowhy) (👨‍💻 100 · 🔀 960 · 📥 43 · 📦 640 · 📋 500 - 27% open · ⏱️ 28.06.2025):

git clone https://github.com/py-why/dowhy

- [PyPi](https://pypi.org/project/dowhy) (📥 89K / month · 📦 18 · ⏱️ 24.11.2024):

pip install dowhy

- [Conda](https://anaconda.org/conda-forge/dowhy) (📥 46K · ⏱️ 22.04.2025):

conda install -c conda-forge dowhy

dtreeviz (🥈28 · ⭐ 3.1K) - A python library for decision tree visualization and model interpretation. MIT

- [GitHub](https://github.com/parrt/dtreeviz) (👨‍💻 27 · 🔀 340 · 📦 1.6K · 📋 210 - 34% open · ⏱️ 06.03.2025):

git clone https://github.com/parrt/dtreeviz

- [PyPi](https://pypi.org/project/dtreeviz) (📥 79K / month · 📦 53 · ⏱️ 07.07.2022):

pip install dtreeviz

- [Conda](https://anaconda.org/conda-forge/dtreeviz) (📥 110K · ⏱️ 22.04.2025):

conda install -c conda-forge dtreeviz

Fairness 360 (🥈26 · ⭐ 2.6K · 💤) - A comprehensive set of fairness metrics for datasets and.. Apache-2

- [GitHub](https://github.com/Trusted-AI/AIF360) (👨‍💻 73 · 🔀 860 · 📦 720 · 📋 300 - 65% open · ⏱️ 10.12.2024):

git clone https://github.com/Trusted-AI/AIF360

- [PyPi](https://pypi.org/project/aif360) (📥 27K / month · 📦 32 · ⏱️ 08.04.2024):

pip install aif360

- [Conda](https://anaconda.org/conda-forge/aif360) (📥 25K · ⏱️ 22.04.2025):

conda install -c conda-forge aif360

LIT (🥈25 · ⭐ 3.6K · 💤) - The Learning Interpretability Tool: Interactively analyze ML models.. Apache-2

- [GitHub](https://github.com/PAIR-code/lit) (👨‍💻 38 · 🔀 360 · 📋 210 - 57% open · ⏱️ 20.12.2024):

git clone https://github.com/PAIR-code/lit

- [PyPi](https://pypi.org/project/lit-nlp) (📥 9.5K / month · 📦 3 · ⏱️ 20.12.2024):

pip install lit-nlp

- [Conda](https://anaconda.org/conda-forge/lit-nlp) (📥 120K · ⏱️ 22.04.2025):

conda install -c conda-forge lit-nlp

responsible-ai-widgets (🥈25 · ⭐ 1.6K) - Responsible AI Toolbox is a suite of tools providing.. MIT

- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (👨‍💻 43 · 🔀 410 · 📋 320 - 26% open · ⏱️ 07.02.2025):

git clone https://github.com/microsoft/responsible-ai-toolbox

- [PyPi](https://pypi.org/project/raiwidgets) (📥 8.9K / month · 📦 6 · ⏱️ 08.07.2024):

pip install raiwidgets

imodels (🥈25 · ⭐ 1.5K) - Interpretable ML package for concise, transparent, and accurate.. MIT

- [GitHub](https://github.com/csinva/imodels) (👨‍💻 27 · 🔀 120 · 📦 120 · 📋 96 - 38% open · ⏱️ 29.06.2025):

git clone https://github.com/csinva/imodels

- [PyPi](https://pypi.org/project/imodels) (📥 33K / month · 📦 9 · ⏱️ 15.10.2024):

pip install imodels

aequitas (🥈25 · ⭐ 720) - Bias Auditing & Fair ML Toolkit. MIT

- [GitHub](https://github.com/dssg/aequitas) (👨‍💻 23 · 🔀 120 · 📦 200 · 📋 99 - 51% open · ⏱️ 25.03.2025):

git clone https://github.com/dssg/aequitas

- [PyPi](https://pypi.org/project/aequitas) (📥 17K / month · 📦 8 · ⏱️ 30.01.2024):

pip install aequitas

Explainability 360 (🥉24 · ⭐ 1.7K) - Interpretability and explainability of data and.. Apache-2

- [GitHub](https://github.com/Trusted-AI/AIX360) (👨‍💻 42 · 🔀 310 · 📦 160 · 📋 86 - 62% open · ⏱️ 26.02.2025):

git clone https://github.com/Trusted-AI/AIX360

- [PyPi](https://pypi.org/project/aix360) (📥 1.1K / month · 📦 1 · ⏱️ 31.07.2023):

pip install aix360

keract (🥉23 · ⭐ 1.1K) - Layers Outputs and Gradients in Keras. Made easy. MIT

- [GitHub](https://github.com/philipperemy/keract) (👨‍💻 17 · 🔀 190 · 📦 260 · 📋 89 - 3% open · ⏱️ 07.04.2025):

git clone https://github.com/philipperemy/keract

- [PyPi](https://pypi.org/project/keract) (📥 3.9K / month · 📦 7 · ⏱️ 07.04.2025):

pip install keract

DiCE (🥉22 · ⭐ 1.4K) - Generate Diverse Counterfactual Explanations for any machine.. MIT

- [GitHub](https://github.com/interpretml/DiCE) (👨‍💻 23 · 🔀 200 · 📋 180 - 48% open · ⏱️ 31.05.2025):

git clone https://github.com/interpretml/DiCE

- [PyPi](https://pypi.org/project/dice-ml) (📥 33K / month · 📦 6 · ⏱️ 27.10.2023):

pip install dice-ml

ecco (🥉21 · ⭐ 2K · 💤) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3

- [GitHub](https://github.com/jalammar/ecco) (👨‍💻 12 · 🔀 170 · 📥 140 · 📦 34 · 📋 64 - 51% open · ⏱️ 15.08.2024):

git clone https://github.com/jalammar/ecco

- [PyPi](https://pypi.org/project/ecco) (📥 190 / month · 📦 1 · ⏱️ 09.01.2022):

pip install ecco

- [Conda](https://anaconda.org/conda-forge/ecco) (📥 7.1K · ⏱️ 22.04.2025):

conda install -c conda-forge ecco

LOFO (🥉20 · ⭐ 840) - Leave One Feature Out Importance. MIT

- [GitHub](https://github.com/aerdem4/lofo-importance) (👨‍💻 6 · 🔀 87 · 📦 40 · 📋 30 - 13% open · ⏱️ 14.02.2025):

git clone https://github.com/aerdem4/lofo-importance

- [PyPi](https://pypi.org/project/lofo-importance) (📥 1.7K / month · 📦 5 · ⏱️ 14.02.2025):

pip install lofo-importance

random-forest-importances (🥉20 · ⭐ 620) - Code to compute permutation and drop-column.. MIT

- [GitHub](https://github.com/parrt/random-forest-importances) (👨‍💻 16 · 🔀 130 · 📋 39 - 20% open · ⏱️ 24.03.2025):

git clone https://github.com/parrt/random-forest-importances

- [PyPi](https://pypi.org/project/rfpimp) (📥 13K / month · 📦 5 · ⏱️ 28.01.2021):

pip install rfpimp

fairness-indicators (🥉19 · ⭐ 350) - Tensorflows Fairness Evaluation and Visualization.. Apache-2

- [GitHub](https://github.com/tensorflow/fairness-indicators) (👨‍💻 36 · 🔀 86 · 📋 45 - 77% open · ⏱️ 25.06.2025):

git clone https://github.com/tensorflow/fairness-indicators

- [PyPi](https://pypi.org/project/fairness-indicators) (📥 1.4K / month · ⏱️ 25.06.2025):

pip install fairness-indicators

ExplainX.ai (🥉14 · ⭐ 440 · 💤) - Explainable AI framework for data scientists. Explain & debug any.. MIT

- [GitHub](https://github.com/explainX/explainx) (👨‍💻 5 · 🔀 55 · 📥 20 · 📋 39 - 25% open · ⏱️ 21.08.2024):

git clone https://github.com/explainX/explainx

- [PyPi](https://pypi.org/project/explainx) (📥 82 / month · ⏱️ 04.02.2021):

pip install explainx

Show 30 hidden projects...

- Lime (🥈32 · ⭐ 12K · 💀) - Lime: Explaining the predictions of any machine learning classifier. BSD-2 - pyLDAvis (🥈29 · ⭐ 1.8K · 💀) - Python library for interactive topic model visualization... BSD-3 - Deep Checks (🥈28 · ⭐ 3.8K) - Deepchecks: Tests for Continuous Validation of ML Models &.. ❗️AGPL-3.0 - yellowbrick (🥈27 · ⭐ 4.4K · 💀) - Visual analysis and diagnostic tools to facilitate.. Apache-2 - eli5 (🥈27 · ⭐ 2.8K · 💀) - A library for debugging/inspecting machine learning classifiers and.. MIT - Alibi (🥈27 · ⭐ 2.5K) - Algorithms for explaining machine learning models. ❗️Intel - scikit-plot (🥈27 · ⭐ 2.4K · 💀) - An intuitive library to add plotting functionality to.. MIT - DALEX (🥈27 · ⭐ 1.4K) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0 - Lucid (🥈25 · ⭐ 4.7K · 💀) - A collection of infrastructure and tools for research in.. Apache-2 - iNNvestigate (🥈25 · ⭐ 1.3K · 💀) - A toolbox to iNNvestigate neural networks predictions!. BSD-2 - keras-vis (🥉24 · ⭐ 3K · 💀) - Neural network visualization toolkit for keras. MIT - CausalNex (🥉24 · ⭐ 2.3K · 💀) - A Python library that helps data scientists to infer.. Apache-2 - checklist (🥉24 · ⭐ 2K · 💀) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList. MIT - tf-explain (🥉22 · ⭐ 1K · 💀) - Interpretability Methods for tf.keras models with Tensorflow.. MIT - What-If Tool (🥉22 · ⭐ 960 · 💀) - Source code/webpage/demos for the What-If Tool. Apache-2 - TreeInterpreter (🥉22 · ⭐ 760 · 💀) - Package for interpreting scikit-learns decision tree.. BSD-3 - deeplift (🥉21 · ⭐ 860 · 💀) - Public facing deeplift repo. MIT - tcav (🥉21 · ⭐ 640 · 💀) - Code for the TCAV ML interpretability project. Apache-2 - Quantus (🥉20 · ⭐ 610) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. ❗️GPL-3.0 - XAI (🥉19 · ⭐ 1.2K · 💀) - XAI - An eXplainability toolbox for machine learning. MIT - model-card-toolkit (🥉18 · ⭐ 430 · 💀) - A toolkit that streamlines and automates the.. Apache-2 - sklearn-evaluation (🥉17 · ⭐ 460 · 💀) - Machine learning model evaluation made easy: plots,.. MIT - effector (🥉17 · ⭐ 110) - Effector - a Python package for global and regional effect methods. MIT - Anchor (🥉15 · ⭐ 800 · 💀) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 - FlashTorch (🥉15 · ⭐ 740 · 💀) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT - Skater (🥉14 · ⭐ 1.1K) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0 - interpret-text (🥉14 · ⭐ 430 · 💀) - A library that incorporates state-of-the-art explainers.. MIT - Attribution Priors (🥉12 · ⭐ 120 · 💀) - Tools for training explainable models using.. MIT - contextual-ai (🥉12 · ⭐ 87 · 💀) - Contextual AI adds explainability to different stages of.. Apache-2 - bias-detector (🥉12 · ⭐ 44 · 💀) - Bias Detector is a python package for detecting bias in machine.. MIT

Vector Similarity Search (ANN)

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

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

Milvus (🥇42 · ⭐ 36K) - Milvus is a high-performance, cloud-native vector database built for.. Apache-2

- [GitHub](https://github.com/milvus-io/milvus) (👨‍💻 320 · 🔀 3.3K · 📥 380K · 📋 14K - 5% open · ⏱️ 10.07.2025):

git clone https://github.com/milvus-io/milvus

- [PyPi](https://pypi.org/project/pymilvus) (📥 2.3M / month · 📦 300 · ⏱️ 02.07.2025):

pip install pymilvus

- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (📥 70M · ⭐ 85 · ⏱️ 10.07.2025):

docker pull milvusdb/milvus

Faiss (🥇41 · ⭐ 36K) - A library for efficient similarity search and clustering of dense vectors. MIT

- [GitHub](https://github.com/facebookresearch/faiss) (👨‍💻 230 · 🔀 3.9K · 📦 4.9K · 📋 2.7K - 9% open · ⏱️ 09.07.2025):

git clone https://github.com/facebookresearch/faiss

- [PyPi](https://pypi.org/project/pymilvus) (📥 2.3M / month · 📦 300 · ⏱️ 02.07.2025):

pip install pymilvus

- [Conda](https://anaconda.org/conda-forge/faiss) (📥 2.7M · ⏱️ 22.04.2025):

conda install -c conda-forge faiss

Annoy (🥈34 · ⭐ 14K · 💤) - Approximate Nearest Neighbors in C++/Python optimized for memory.. Apache-2

- [GitHub](https://github.com/spotify/annoy) (👨‍💻 88 · 🔀 1.2K · 📦 5.3K · 📋 420 - 16% open · ⏱️ 29.07.2024):

git clone https://github.com/spotify/annoy

- [PyPi](https://pypi.org/project/annoy) (📥 730K / month · 📦 200 · ⏱️ 14.06.2023):

pip install annoy

- [Conda](https://anaconda.org/conda-forge/python-annoy) (📥 710K · ⏱️ 22.04.2025):

conda install -c conda-forge python-annoy

USearch (🥈33 · ⭐ 2.9K) - Fast Open-Source Search & Clustering engine for Vectors & Arbitrary.. Apache-2

- [GitHub](https://github.com/unum-cloud/usearch) (👨‍💻 77 · 🔀 200 · 📥 85K · 📦 190 · 📋 230 - 34% open · ⏱️ 08.07.2025):

git clone https://github.com/unum-cloud/usearch

- [PyPi](https://pypi.org/project/usearch) (📥 140K / month · 📦 37 · ⏱️ 08.07.2025):

pip install usearch

- [npm](https://www.npmjs.com/package/usearch) (📥 5K / month · 📦 15 · ⏱️ 23.01.2025):

npm install usearch

- [Docker Hub](https://hub.docker.com/r/unum/usearch) (📥 240 · ⭐ 1 · ⏱️ 09.07.2025):

docker pull unum/usearch

NMSLIB (🥉30 · ⭐ 3.5K · 💤) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2

- [GitHub](https://github.com/nmslib/nmslib) (👨‍💻 49 · 🔀 460 · 📦 1.4K · 📋 440 - 21% open · ⏱️ 21.09.2024):

git clone https://github.com/nmslib/nmslib

- [PyPi](https://pypi.org/project/nmslib) (📥 380K / month · 📦 63 · ⏱️ 03.02.2021):

pip install nmslib

- [Conda](https://anaconda.org/conda-forge/nmslib) (📥 210K · ⏱️ 22.04.2025):

conda install -c conda-forge nmslib

PyNNDescent (🥉27 · ⭐ 930 · 💤) - A Python nearest neighbor descent for approximate nearest.. BSD-2

- [GitHub](https://github.com/lmcinnes/pynndescent) (👨‍💻 30 · 🔀 110 · 📦 13K · 📋 140 - 52% open · ⏱️ 10.11.2024):

git clone https://github.com/lmcinnes/pynndescent

- [PyPi](https://pypi.org/project/pynndescent) (📥 1.7M / month · 📦 160 · ⏱️ 17.06.2024):

pip install pynndescent

- [Conda](https://anaconda.org/conda-forge/pynndescent) (📥 2.4M · ⏱️ 22.04.2025):

conda install -c conda-forge pynndescent

NGT (🥉24 · ⭐ 1.3K) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2

- [GitHub](https://github.com/yahoojapan/NGT) (👨‍💻 19 · 🔀 120 · 📋 150 - 17% open · ⏱️ 23.06.2025):

git clone https://github.com/yahoojapan/NGT

- [PyPi](https://pypi.org/project/ngt) (📥 2.7K / month · 📦 12 · ⏱️ 26.02.2025):

pip install ngt

Show 5 hidden projects...

- hnswlib (🥈32 · ⭐ 4.8K · 💀) - Header-only C++/python library for fast approximate nearest.. Apache-2 - NearPy (🥉22 · ⭐ 770 · 💀) - Python framework for fast (approximated) nearest neighbour search in.. MIT - N2 (🥉21 · ⭐ 580 · 💀) - TOROS N2 - lightweight approximate Nearest Neighbor library which runs.. Apache-2 - Magnitude (🥉19 · ⭐ 1.6K · 💀) - A fast, efficient universal vector embedding utility package. MIT - PySparNN (🥉11 · ⭐ 920 · 💀) - Approximate Nearest Neighbor Search for Sparse Data in Python!. BSD-3

Probabilistics & Statistics

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

PyMC3 (🥇40 · ⭐ 9.1K) - Bayesian Modeling and Probabilistic Programming in Python. Apache-2

- [GitHub](https://github.com/pymc-devs/pymc) (👨‍💻 530 · 🔀 2.1K · 📥 240 · 📦 7.6K · 📋 3.5K - 10% open · ⏱️ 08.07.2025):

git clone https://github.com/pymc-devs/pymc

- [PyPi](https://pypi.org/project/pymc3) (📥 270K / month · 📦 190 · ⏱️ 31.05.2024):

pip install pymc3

- [Conda](https://anaconda.org/conda-forge/pymc3) (📥 680K · ⏱️ 22.04.2025):

conda install -c conda-forge pymc3

tensorflow-probability (🥇36 · ⭐ 4.3K) - Probabilistic reasoning and statistical analysis in.. Apache-2

- [GitHub](https://github.com/tensorflow/probability) (👨‍💻 500 · 🔀 1.1K · 📦 4 · 📋 1.5K - 48% open · ⏱️ 23.05.2025):

git clone https://github.com/tensorflow/probability

- [PyPi](https://pypi.org/project/tensorflow-probability) (📥 770K / month · 📦 620 · ⏱️ 08.11.2024):

pip install tensorflow-probability

- [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (📥 190K · ⏱️ 22.04.2025):

conda install -c conda-forge tensorflow-probability

pgmpy (🥇35 · ⭐ 3K) - Python Library for Causal and Probabilistic Modeling using Bayesian Networks. MIT

- [GitHub](https://github.com/pgmpy/pgmpy) (👨‍💻 160 · 🔀 840 · 📥 640 · 📦 1.7K · 📋 1.1K - 28% open · ⏱️ 07.07.2025):

git clone https://github.com/pgmpy/pgmpy

- [PyPi](https://pypi.org/project/pgmpy) (📥 170K / month · 📦 72 · ⏱️ 31.03.2025):

pip install pgmpy

Pyro (🥈33 · ⭐ 8.8K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2

- [GitHub](https://github.com/pyro-ppl/pyro) (👨‍💻 160 · 🔀 990 · 📋 1.1K - 23% open · ⏱️ 09.07.2025):

git clone https://github.com/pyro-ppl/pyro

- [PyPi](https://pypi.org/project/pyro-ppl) (📥 520K / month · 📦 190 · ⏱️ 02.06.2024):

pip install pyro-ppl

- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (📥 250K · ⏱️ 22.04.2025):

conda install -c conda-forge pyro-ppl

patsy (🥈32 · ⭐ 970) - Describing statistical models in Python using symbolic formulas. BSD-2

- [GitHub](https://github.com/pydata/patsy) (👨‍💻 22 · 🔀 100 · 📦 130K · 📋 160 - 46% open · ⏱️ 24.02.2025):

git clone https://github.com/pydata/patsy

- [PyPi](https://pypi.org/project/patsy) (📥 17M / month · 📦 530 · ⏱️ 12.11.2024):

pip install patsy

- [Conda](https://anaconda.org/conda-forge/patsy) (📥 17M · ⏱️ 22.04.2025):

conda install -c conda-forge patsy

hmmlearn (🥈29 · ⭐ 3.2K · 💤) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3

- [GitHub](https://github.com/hmmlearn/hmmlearn) (👨‍💻 49 · 🔀 740 · 📦 3.6K · 📋 450 - 15% open · ⏱️ 31.10.2024):

git clone https://github.com/hmmlearn/hmmlearn

- [PyPi](https://pypi.org/project/hmmlearn) (📥 170K / month · 📦 92 · ⏱️ 31.10.2024):

pip install hmmlearn

- [Conda](https://anaconda.org/conda-forge/hmmlearn) (📥 390K · ⏱️ 22.04.2025):

conda install -c conda-forge hmmlearn

GPflow (🥈29 · ⭐ 1.9K) - Gaussian processes in TensorFlow. Apache-2

- [GitHub](https://github.com/GPflow/GPflow) (👨‍💻 84 · 🔀 430 · 📦 780 · 📋 840 - 19% open · ⏱️ 29.05.2025):

git clone https://github.com/GPflow/GPflow

- [PyPi](https://pypi.org/project/gpflow) (📥 12K / month · 📦 43 · ⏱️ 29.05.2025):

pip install gpflow

- [Conda](https://anaconda.org/conda-forge/gpflow) (📥 47K · ⏱️ 22.04.2025):

conda install -c conda-forge gpflow

emcee (🥈29 · ⭐ 1.5K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT

- [GitHub](https://github.com/dfm/emcee) (👨‍💻 75 · 🔀 430 · 📦 3.1K · 📋 300 - 19% open · ⏱️ 16.03.2025):

git clone https://github.com/dfm/emcee

- [PyPi](https://pypi.org/project/emcee) (📥 150K / month · 📦 440 · ⏱️ 19.04.2024):

pip install emcee

- [Conda](https://anaconda.org/conda-forge/emcee) (📥 430K · ⏱️ 22.04.2025):

conda install -c conda-forge emcee

GPyTorch (🥉28 · ⭐ 3.7K) - A highly efficient implementation of Gaussian Processes in PyTorch. MIT

- [GitHub](https://github.com/cornellius-gp/gpytorch) (👨‍💻 140 · 🔀 560 · 📋 1.4K - 27% open · ⏱️ 23.06.2025):

git clone https://github.com/cornellius-gp/gpytorch

- [PyPi](https://pypi.org/project/gpytorch) (📥 360K / month · 📦 190 · ⏱️ 29.01.2025):

pip install gpytorch

- [Conda](https://anaconda.org/conda-forge/gpytorch) (📥 210K · ⏱️ 22.04.2025):

conda install -c conda-forge gpytorch

bambi (🥉28 · ⭐ 1.2K) - BAyesian Model-Building Interface (Bambi) in Python. MIT

- [GitHub](https://github.com/bambinos/bambi) (👨‍💻 47 · 🔀 130 · 📦 210 · 📋 440 - 20% open · ⏱️ 15.06.2025):

git clone https://github.com/bambinos/bambi

- [PyPi](https://pypi.org/project/bambi) (📥 34K / month · 📦 14 · ⏱️ 21.12.2024):

pip install bambi

- [Conda](https://anaconda.org/conda-forge/bambi) (📥 52K · ⏱️ 22.04.2025):

conda install -c conda-forge bambi

SALib (🥉28 · ⭐ 930) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT

- [GitHub](https://github.com/SALib/SALib) (👨‍💻 52 · 🔀 250 · 📦 1.6K · 📋 340 - 15% open · ⏱️ 27.06.2025):

git clone https://github.com/SALib/SALib

- [PyPi](https://pypi.org/project/salib) (📥 190K / month · 📦 130 · ⏱️ 19.08.2024):

pip install salib

- [Conda](https://anaconda.org/conda-forge/salib) (📥 230K · ⏱️ 22.04.2025):

conda install -c conda-forge salib

pomegranate (🥉27 · ⭐ 3.5K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT

- [GitHub](https://github.com/jmschrei/pomegranate) (👨‍💻 75 · 🔀 590 · 📋 800 - 4% open · ⏱️ 07.02.2025):

git clone https://github.com/jmschrei/pomegranate

- [PyPi](https://pypi.org/project/pomegranate) (📥 22K / month · 📦 67 · ⏱️ 07.02.2025):

pip install pomegranate

- [Conda](https://anaconda.org/conda-forge/pomegranate) (📥 220K · ⏱️ 22.04.2025):

conda install -c conda-forge pomegranate

PyStan (🥉27 · ⭐ 360 · 💤) - PyStan, a Python interface to Stan, a platform for statistical.. ISC

- [GitHub](https://github.com/stan-dev/pystan) (👨‍💻 14 · 🔀 60 · 📦 11K · 📋 200 - 6% open · ⏱️ 03.07.2024):

git clone https://github.com/stan-dev/pystan

- [PyPi](https://pypi.org/project/pystan) (📥 610K / month · 📦 160 · ⏱️ 03.07.2024):

pip install pystan

- [Conda](https://anaconda.org/conda-forge/pystan) (📥 3M · ⏱️ 22.04.2025):

conda install -c conda-forge pystan

scikit-posthocs (🥉24 · ⭐ 370) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT

- [GitHub](https://github.com/maximtrp/scikit-posthocs) (👨‍💻 16 · 🔀 40 · 📥 66 · 📦 1.2K · 📋 72 - 6% open · ⏱️ 16.04.2025):

git clone https://github.com/maximtrp/scikit-posthocs

- [PyPi](https://pypi.org/project/scikit-posthocs) (📥 100K / month · 📦 73 · ⏱️ 29.03.2025):

pip install scikit-posthocs

- [Conda](https://anaconda.org/conda-forge/scikit-posthocs) (📥 1M · ⏱️ 22.04.2025):

conda install -c conda-forge scikit-posthocs

Orbit (🥉23 · ⭐ 2K) - A Python package for Bayesian forecasting with object-oriented design.. Apache-2

- [GitHub](https://github.com/uber/orbit) (👨‍💻 21 · 🔀 140 · 📋 410 - 13% open · ⏱️ 05.06.2025):

git clone https://github.com/uber/orbit

- [PyPi](https://pypi.org/project/orbit-ml) (📥 22K / month · 📦 1 · ⏱️ 01.04.2024):

pip install orbit-ml

TorchUncertainty (🥉23 · ⭐ 410) - Open-source framework for uncertainty and deep.. Apache-2

- [GitHub](https://github.com/ENSTA-U2IS-AI/torch-uncertainty) (👨‍💻 13 · 🔀 32 · 📋 57 - 19% open · ⏱️ 03.06.2025):

git clone https://github.com/ENSTA-U2IS-AI/torch-uncertainty

- [PyPi](https://pypi.org/project/torch-uncertainty) (📥 860 / month · 📦 4 · ⏱️ 05.06.2025):

pip install torch-uncertainty

pandas-ta (🥉22 · ⭐ 5.5K) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT

- [GitHub](https://github.com/twopirllc/pandas-ta) (👨‍💻 40 · 🔀 1.1K):

git clone https://github.com/twopirllc/pandas-ta

- [PyPi](https://pypi.org/project/pandas-ta) (📥 280K / month · 📦 140 · ⏱️ 28.07.2021):

pip install pandas-ta

- [Conda](https://anaconda.org/conda-forge/pandas-ta) (📥 30K · ⏱️ 12.06.2025):

conda install -c conda-forge pandas-ta

Baal (🥉21 · ⭐ 900) - Bayesian active learning library for research and industrial usecases. Apache-2

- [GitHub](https://github.com/baal-org/baal) (👨‍💻 23 · 🔀 87 · 📦 67 · 📋 120 - 18% open · ⏱️ 24.06.2025):

git clone https://github.com/baal-org/baal

- [PyPi](https://pypi.org/project/baal) (📥 780 / month · 📦 2 · ⏱️ 24.06.2025):

pip install baal

- [Conda](https://anaconda.org/conda-forge/baal) (📥 13K · ⏱️ 22.04.2025):

conda install -c conda-forge baal

pyhsmm (🥉20 · ⭐ 560) - Bayesian inference in HSMMs and HMMs. MIT

- [GitHub](https://github.com/mattjj/pyhsmm) (👨‍💻 14 · 🔀 170 · 📦 35 · 📋 100 - 39% open · ⏱️ 25.01.2025):

git clone https://github.com/mattjj/pyhsmm

- [PyPi](https://pypi.org/project/pyhsmm) (📥 120 / month · 📦 1 · ⏱️ 10.05.2017):

pip install pyhsmm

Show 5 hidden projects...

- filterpy (🥈31 · ⭐ 3.6K · 💀) - Python Kalman filtering and optimal estimation library. Implements.. MIT - pingouin (🥈29 · ⭐ 1.8K) - Statistical package in Python based on Pandas. ❗️GPL-3.0 - Edward (🥉27 · ⭐ 4.8K · 💀) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 - Funsor (🥉20 · ⭐ 240 · 💀) - Functional tensors for probabilistic programming. Apache-2 - ZhuSuan (🥉15 · ⭐ 2.2K · 💀) - A probabilistic programming library for Bayesian deep learning,.. MIT

Adversarial Robustness

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

ART (🥇35 · ⭐ 5.4K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT

- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (👨‍💻 150 · 🔀 1.2K · 📦 760 · 📋 910 - 1% open · ⏱️ 09.07.2025):

git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox

- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (📥 21K / month · 📦 25 · ⏱️ 07.07.2025):

pip install adversarial-robustness-toolbox

- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (📥 77K · ⏱️ 07.07.2025):

conda install -c conda-forge adversarial-robustness-toolbox

TextAttack (🥈27 · ⭐ 3.2K · 💤) - TextAttack is a Python framework for adversarial attacks, data.. MIT

- [GitHub](https://github.com/QData/TextAttack) (👨‍💻 66 · 🔀 410 · 📦 410 · 📋 290 - 23% open · ⏱️ 25.07.2024):

git clone https://github.com/QData/TextAttack

- [PyPi](https://pypi.org/project/textattack) (📥 6.9K / month · 📦 11 · ⏱️ 11.03.2024):

pip install textattack

- [Conda](https://anaconda.org/conda-forge/textattack) (📥 11K · ⏱️ 22.04.2025):

conda install -c conda-forge textattack

Show 7 hidden projects...

- CleverHans (🥈29 · ⭐ 6.3K · 💀) - An adversarial example library for constructing attacks,.. MIT - Foolbox (🥈27 · ⭐ 2.9K · 💀) - A Python toolbox to create adversarial examples that fool neural.. MIT - advertorch (🥉23 · ⭐ 1.3K · 💀) - A Toolbox for Adversarial Robustness Research. ❗️GPL-3.0 - AdvBox (🥉19 · ⭐ 1.4K · 💀) - Advbox is a toolbox to generate adversarial examples that fool.. Apache-2 - robustness (🥉19 · ⭐ 940 · 💀) - A library for experimenting with, training and evaluating neural.. MIT - textflint (🥉17 · ⭐ 650 · 💀) - Unified Multilingual Robustness Evaluation Toolkit for.. ❗️GPL-3.0 - Adversary (🥉15 · ⭐ 400 · 💀) - Tool to generate adversarial text examples and test machine.. MIT

GPU & Accelerator Utilities

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

optimum (🥇37 · ⭐ 3K) - Accelerate inference and training of Transformers, Diffusers, TIMM and.. Apache-2

- [GitHub](https://github.com/huggingface/optimum) (👨‍💻 150 · 🔀 550 · 📦 6K · 📋 880 - 36% open · ⏱️ 10.07.2025):

git clone https://github.com/huggingface/optimum

- [PyPi](https://pypi.org/project/optimum) (📥 1M / month · 📦 250 · ⏱️ 13.06.2025):

pip install optimum

- [Conda](https://anaconda.org/conda-forge/optimum) (📥 43K · ⏱️ 22.04.2025):

conda install -c conda-forge optimum

cuDF (🥇35 · ⭐ 9K) - cuDF - GPU DataFrame Library. Apache-2

- [GitHub](https://github.com/rapidsai/cudf) (👨‍💻 310 · 🔀 950 · 📦 62 · 📋 7.1K - 15% open · ⏱️ 10.07.2025):

git clone https://github.com/rapidsai/cudf

- [PyPi](https://pypi.org/project/cudf) (📥 2.8K / month · 📦 22 · ⏱️ 01.06.2020):

pip install cudf

PyCUDA (🥈33 · ⭐ 2K) - CUDA integration for Python, plus shiny features. MIT

- [GitHub](https://github.com/inducer/pycuda) (👨‍💻 82 · 🔀 290 · 📦 3.9K · 📋 280 - 30% open · ⏱️ 08.06.2025):

git clone https://github.com/inducer/pycuda

- [PyPi](https://pypi.org/project/pycuda) (📥 130K / month · 📦 180 · ⏱️ 08.06.2025):

pip install pycuda

- [Conda](https://anaconda.org/conda-forge/pycuda) (📥 1M · ⏱️ 09.06.2025):

conda install -c conda-forge pycuda

cuML (🥈32 · ⭐ 4.8K) - cuML - RAPIDS Machine Learning Library. Apache-2

- [GitHub](https://github.com/rapidsai/cuml) (👨‍💻 180 · 🔀 580 · 📋 2.8K - 34% open · ⏱️ 10.07.2025):

git clone https://github.com/rapidsai/cuml

- [PyPi](https://pypi.org/project/cuml) (📥 3.2K / month · 📦 14 · ⏱️ 01.06.2020):

pip install cuml

Apex (🥈31 · ⭐ 8.7K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3

- [GitHub](https://github.com/NVIDIA/apex) (👨‍💻 130 · 🔀 1.4K · 📦 3.3K · 📋 1.3K - 58% open · ⏱️ 26.06.2025):

git clone https://github.com/NVIDIA/apex

- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (📥 530K · ⏱️ 30.05.2025):

conda install -c conda-forge nvidia-apex

ArrayFire (🥈28 · ⭐ 4.7K) - ArrayFire: a general purpose GPU library. BSD-3

- [GitHub](https://github.com/arrayfire/arrayfire) (👨‍💻 97 · 🔀 540 · 📥 8.6K · 📋 1.8K - 19% open · ⏱️ 08.07.2025):

git clone https://github.com/arrayfire/arrayfire

- [PyPi](https://pypi.org/project/arrayfire) (📥 3.2K / month · 📦 10 · ⏱️ 22.02.2022):

pip install arrayfire

gpustat (🥈28 · ⭐ 4.2K) - A simple command-line utility for querying and monitoring GPU status. MIT

- [GitHub](https://github.com/wookayin/gpustat) (👨‍💻 17 · 🔀 280 · 📦 7.7K · 📋 130 - 22% open · ⏱️ 13.04.2025):

git clone https://github.com/wookayin/gpustat

- [PyPi](https://pypi.org/project/gpustat) (📥 550K / month · 📦 150 · ⏱️ 22.08.2023):

pip install gpustat

- [Conda](https://anaconda.org/conda-forge/gpustat) (📥 310K · ⏱️ 22.04.2025):

conda install -c conda-forge gpustat

cuGraph (🥈28 · ⭐ 2K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2

- [GitHub](https://github.com/rapidsai/cugraph) (👨‍💻 120 · 🔀 330 · 📋 1.8K - 8% open · ⏱️ 07.07.2025):

git clone https://github.com/rapidsai/cugraph

- [PyPi](https://pypi.org/project/cugraph) (📥 380 / month · 📦 4 · ⏱️ 01.06.2020):

pip install cugraph

- [Conda](https://anaconda.org/conda-forge/libcugraph) (📥 66K · ⏱️ 22.04.2025):

conda install -c conda-forge libcugraph

CuPy (🥉27 · ⭐ 10K) - NumPy & SciPy for GPU. MIT

- [GitHub](https://github.com/cupy/cupy) (👨‍💻 340 · 🔀 920):

git clone https://github.com/cupy/cupy

- [PyPi](https://pypi.org/project/cupy) (📥 70K / month · 📦 380 · ⏱️ 03.07.2025):

pip install cupy

- [Conda](https://anaconda.org/conda-forge/cupy) (📥 6.7M · ⏱️ 09.06.2025):

conda install -c conda-forge cupy

- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (📥 86K · ⭐ 14 · ⏱️ 03.07.2025):

docker pull cupy/cupy

DALI (🥉25 · ⭐ 5.5K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2

- [GitHub](https://github.com/NVIDIA/DALI) (👨‍💻 99 · 🔀 640 · 📋 1.7K - 15% open · ⏱️ 10.07.2025):

git clone https://github.com/NVIDIA/DALI

Vulkan Kompute (🥉23 · ⭐ 2.3K) - General purpose GPU compute framework built on Vulkan to.. Apache-2

- [GitHub](https://github.com/KomputeProject/kompute) (👨‍💻 34 · 🔀 160 · 📥 650 · 📋 230 - 33% open · ⏱️ 10.06.2025):

git clone https://github.com/KomputeProject/kompute

- [PyPi](https://pypi.org/project/kp) (📥 700 / month · ⏱️ 20.01.2024):

pip install kp

Merlin (🥉20 · ⭐ 840 · 💤) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2

- [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (👨‍💻 32 · 🔀 120 · 📋 460 - 46% open · ⏱️ 22.07.2024):

git clone https://github.com/NVIDIA-Merlin/Merlin

- [PyPi](https://pypi.org/project/merlin-core) (📥 15K / month · 📦 1 · ⏱️ 29.08.2023):

pip install merlin-core

Show 8 hidden projects...

- GPUtil (🥉25 · ⭐ 1.2K · 💀) - A Python module for getting the GPU status from NVIDA GPUs using.. MIT - scikit-cuda (🥉24 · ⭐ 990 · 💀) - Python interface to GPU-powered libraries. BSD-3 - py3nvml (🥉22 · ⭐ 250 · 💀) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside.. BSD-3 - BlazingSQL (🥉20 · ⭐ 2K · 💀) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. Apache-2 - nvidia-ml-py3 (🥉18 · ⭐ 140 · 💀) - Python 3 Bindings for the NVIDIA Management Library. BSD-3 - ipyexperiments (🥉16 · ⭐ 220 · 💀) - Automatic GPU+CPU memory profiling, re-use and memory.. Apache-2 - SpeedTorch (🥉15 · ⭐ 680 · 💀) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT - cuSignal (🥉14 · ⭐ 720 · 💀) - GPU accelerated signal processing. ❗Unlicensed

Tensorflow Utilities

Libraries that extend TensorFlow with additional capabilities.

TensorFlow Datasets (🥇38 · ⭐ 4.4K) - TFDS is a collection of datasets ready to use with.. Apache-2

- [GitHub](https://github.com/tensorflow/datasets) (👨‍💻 570 · 🔀 1.6K · 📦 25K · 📋 1.5K - 47% open · ⏱️ 08.07.2025):

git clone https://github.com/tensorflow/datasets

- [PyPi](https://pypi.org/project/tensorflow-datasets) (📥 1.3M / month · 📦 340 · ⏱️ 28.05.2025):

pip install tensorflow-datasets

- [Conda](https://anaconda.org/conda-forge/tensorflow-datasets) (📥 48K · ⏱️ 22.04.2025):

conda install -c conda-forge tensorflow-datasets

tensorflow-hub (🥈32 · ⭐ 3.5K) - A library for transfer learning by reusing parts of.. Apache-2

- [GitHub](https://github.com/tensorflow/hub) (👨‍💻 110 · 🔀 1.7K · 📋 710 - 2% open · ⏱️ 17.01.2025):

git clone https://github.com/tensorflow/hub

- [PyPi](https://pypi.org/project/tensorflow-hub) (📥 1.7M / month · 📦 300 · ⏱️ 30.01.2024):

pip install tensorflow-hub

- [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (📥 120K · ⏱️ 22.04.2025):

conda install -c conda-forge tensorflow-hub

TFX (🥈31 · ⭐ 2.1K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2

- [GitHub](https://github.com/tensorflow/tfx) (👨‍💻 190 · 🔀 710 · 📦 1.8K · 📋 1.1K - 22% open · ⏱️ 26.03.2025):

git clone https://github.com/tensorflow/tfx

- [PyPi](https://pypi.org/project/tfx) (📥 33K / month · 📦 17 · ⏱️ 11.12.2024):

pip install tfx

TensorFlow I/O (🥈29 · ⭐ 730) - Dataset, streaming, and file system extensions.. Apache-2

- [GitHub](https://github.com/tensorflow/io) (👨‍💻 120 · 🔀 290 · 📋 660 - 44% open · ⏱️ 10.04.2025):

git clone https://github.com/tensorflow/io

- [PyPi](https://pypi.org/project/tensorflow-io) (📥 1.2M / month · 📦 61 · ⏱️ 01.07.2024):

pip install tensorflow-io

TF Model Optimization (🥈28 · ⭐ 1.5K) - A toolkit to optimize ML models for deployment for.. Apache-2

- [GitHub](https://github.com/tensorflow/model-optimization) (👨‍💻 87 · 🔀 320 · 📋 400 - 57% open · ⏱️ 07.07.2025):

git clone https://github.com/tensorflow/model-optimization

- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (📥 630K / month · 📦 45 · ⏱️ 08.02.2024):

pip install tensorflow-model-optimization

TensorFlow Transform (🥈28 · ⭐ 990) - Input pipeline framework. Apache-2

- [GitHub](https://github.com/tensorflow/transform) (👨‍💻 30 · 🔀 220 · 📋 220 - 17% open · ⏱️ 05.07.2025):

git clone https://github.com/tensorflow/transform

- [PyPi](https://pypi.org/project/tensorflow-transform) (📥 170K / month · 📦 19 · ⏱️ 13.06.2025):

pip install tensorflow-transform

Neural Structured Learning (🥉24 · ⭐ 1K) - Training neural models with structured signals. Apache-2

- [GitHub](https://github.com/tensorflow/neural-structured-learning) (👨‍💻 39 · 🔀 190 · 📦 510 · 📋 69 - 1% open · ⏱️ 29.01.2025):

git clone https://github.com/tensorflow/neural-structured-learning

- [PyPi](https://pypi.org/project/neural-structured-learning) (📥 5.2K / month · 📦 3 · ⏱️ 29.07.2022):

pip install neural-structured-learning

TensorFlow Cloud (🥉21 · ⭐ 380) - The TensorFlow Cloud repository provides APIs that.. Apache-2

- [GitHub](https://github.com/tensorflow/cloud) (👨‍💻 28 · 🔀 90 · 📋 100 - 73% open · ⏱️ 29.01.2025):

git clone https://github.com/tensorflow/cloud

- [PyPi](https://pypi.org/project/tensorflow-cloud) (📥 21K / month · 📦 7 · ⏱️ 17.06.2021):

pip install tensorflow-cloud

TF Compression (🥉19 · ⭐ 890) - Data compression in TensorFlow. Apache-2

- [GitHub](https://github.com/tensorflow/compression) (👨‍💻 24 · 🔀 250 · 📋 100 - 10% open · ⏱️ 29.04.2025):

git clone https://github.com/tensorflow/compression

- [PyPi](https://pypi.org/project/tensorflow-compression) (📥 2K / month · 📦 2 · ⏱️ 02.02.2024):

pip install tensorflow-compression

Show 7 hidden projects...

- tensor2tensor (🥇33 · ⭐ 16K · 💀) - Library of deep learning models and datasets designed.. Apache-2 - TF Addons (🥈31 · ⭐ 1.7K · 💀) - Useful extra functionality for TensorFlow 2.x maintained.. Apache-2 - Keras-Preprocessing (🥉27 · ⭐ 1K · 💀) - Utilities for working with image data, text data, and.. MIT - efficientnet (🥉26 · ⭐ 2.1K · 💀) - Implementation of EfficientNet model. Keras and.. Apache-2 - TensorNets (🥉20 · ⭐ 1K · 💀) - High level network definitions with pre-trained weights in.. MIT - Saliency (🥉20 · ⭐ 980 · 💀) - Framework-agnostic implementation for state-of-the-art.. Apache-2 - tffm (🥉18 · ⭐ 780 · 💀) - TensorFlow implementation of an arbitrary order Factorization Machine. MIT

Jax Utilities

Libraries that extend Jax with additional capabilities.

equinox (🥇33 · ⭐ 2.4K) - Elegant easy-to-use neural networks + scientific computing in.. Apache-2

- [GitHub](https://github.com/patrick-kidger/equinox) (👨‍💻 72 · 🔀 170 · 📦 1.3K · 📋 570 - 35% open · ⏱️ 07.07.2025):

git clone https://github.com/patrick-kidger/equinox

- [PyPi](https://pypi.org/project/equinox) (📥 360K / month · 📦 290 · ⏱️ 07.07.2025):

pip install equinox

Show 2 hidden projects...

- evojax (🥉19 · ⭐ 900 · 💀) - EvoJAX: Hardware-accelerated Neuroevolution. Apache-2 - jaxdf (🥉12 · ⭐ 130 · 💤) - A JAX-based research framework for writing differentiable.. ❗️LGPL-3.0

Sklearn Utilities

Libraries that extend scikit-learn with additional capabilities.

scikit-learn-intelex (🥇35 · ⭐ 1.3K) - Extension for Scikit-learn is a seamless way to speed.. Apache-2

- [GitHub](https://github.com/uxlfoundation/scikit-learn-intelex) (👨‍💻 85 · 🔀 180 · 📦 14K · 📋 250 - 17% open · ⏱️ 10.07.2025):

git clone https://github.com/intel/scikit-learn-intelex

- [PyPi](https://pypi.org/project/scikit-learn-intelex) (📥 77K / month · 📦 67 · ⏱️ 09.07.2025):

pip install scikit-learn-intelex

- [Conda](https://anaconda.org/conda-forge/scikit-learn-intelex) (📥 590K · ⏱️ 26.06.2025):

conda install -c conda-forge scikit-learn-intelex

MLxtend (🥇33 · ⭐ 5K) - A library of extension and helper modules for Pythons data analysis.. BSD-3

- [GitHub](https://github.com/rasbt/mlxtend) (👨‍💻 110 · 🔀 880 · 📦 21K · 📋 500 - 29% open · ⏱️ 19.06.2025):

git clone https://github.com/rasbt/mlxtend

- [PyPi](https://pypi.org/project/mlxtend) (📥 840K / month · 📦 200 · ⏱️ 26.01.2025):

pip install mlxtend

- [Conda](https://anaconda.org/conda-forge/mlxtend) (📥 370K · ⏱️ 22.04.2025):

conda install -c conda-forge mlxtend

category_encoders (🥇33 · ⭐ 2.4K) - A library of sklearn compatible categorical variable.. BSD-3

- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (👨‍💻 71 · 🔀 400 · 📦 4.1K · 📋 300 - 14% open · ⏱️ 24.03.2025):

git clone https://github.com/scikit-learn-contrib/category_encoders

- [PyPi](https://pypi.org/project/category_encoders) (📥 2.1M / month · 📦 310 · ⏱️ 15.03.2025):

pip install category_encoders

- [Conda](https://anaconda.org/conda-forge/category_encoders) (📥 330K · ⏱️ 22.04.2025):

conda install -c conda-forge category_encoders

imbalanced-learn (🥈32 · ⭐ 7K) - A Python Package to Tackle the Curse of Imbalanced.. MIT

- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (👨‍💻 87 · 🔀 1.3K · 📋 620 - 7% open · ⏱️ 06.06.2025):

git clone https://github.com/scikit-learn-contrib/imbalanced-learn

- [PyPi](https://pypi.org/project/imbalanced-learn) (📥 15M / month · 📦 480 · ⏱️ 20.12.2024):

pip install imbalanced-learn

- [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (📥 710K · ⏱️ 22.04.2025):

conda install -c conda-forge imbalanced-learn

scikit-lego (🥈28 · ⭐ 1.3K) - Extra blocks for scikit-learn pipelines. MIT

- [GitHub](https://github.com/koaning/scikit-lego) (👨‍💻 68 · 🔀 120 · 📦 190 · 📋 340 - 10% open · ⏱️ 24.06.2025):

git clone https://github.com/koaning/scikit-lego

- [PyPi](https://pypi.org/project/scikit-lego) (📥 31K / month · 📦 13 · ⏱️ 30.04.2025):

pip install scikit-lego

- [Conda](https://anaconda.org/conda-forge/scikit-lego) (📥 71K · ⏱️ 22.04.2025):

conda install -c conda-forge scikit-lego

iterative-stratification (🥉21 · ⭐ 870 · 💤) - scikit-learn cross validators for iterative.. BSD-3

- [GitHub](https://github.com/trent-b/iterative-stratification) (👨‍💻 7 · 🔀 75 · 📦 610 · 📋 27 - 7% open · ⏱️ 12.10.2024):

git clone https://github.com/trent-b/iterative-stratification

- [PyPi](https://pypi.org/project/iterative-stratification) (📥 39K / month · 📦 15 · ⏱️ 12.10.2024):

pip install iterative-stratification

dabl (🥉18 · ⭐ 730 · 💤) - Data Analysis Baseline Library. BSD-3

- [GitHub](https://github.com/amueller/dabl) (👨‍💻 24 · 🔀 100 · ⏱️ 07.08.2024):

git clone https://github.com/amueller/dabl

- [PyPi](https://pypi.org/project/dabl) (📥 5.1K / month · 📦 3 · ⏱️ 16.12.2024):

pip install dabl

scikit-tda (🥉18 · ⭐ 550 · 💤) - Topological Data Analysis for Python. MIT

- [GitHub](https://github.com/scikit-tda/scikit-tda) (👨‍💻 6 · 🔀 54 · 📦 90 · 📋 22 - 18% open · ⏱️ 19.07.2024):

git clone https://github.com/scikit-tda/scikit-tda

- [PyPi](https://pypi.org/project/scikit-tda) (📥 1.8K / month · ⏱️ 19.07.2024):

pip install scikit-tda

Show 11 hidden projects...

- scikit-survival (🥇33 · ⭐ 1.2K) - Survival analysis built on top of scikit-learn. ❗️GPL-3.0 - fancyimpute (🥈27 · ⭐ 1.3K · 💀) - Multivariate imputation and matrix completion.. Apache-2 - scikit-multilearn (🥈27 · ⭐ 940 · 💀) - A scikit-learn based module for multi-label et. al... BSD-2 - sklearn-crfsuite (🥉26 · ⭐ 430 · 💀) - scikit-learn inspired API for CRFsuite. MIT - scikit-opt (🥉25 · ⭐ 5.6K · 💀) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT - skope-rules (🥉22 · ⭐ 640 · 💀) - machine learning with logical rules in Python. ❗️BSD-1-Clause - combo (🥉21 · ⭐ 660 · 💀) - (AAAI 20) A Python Toolbox for Machine Learning Model.. BSD-2 xgboost - celer (🥉21 · ⭐ 230) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,.. BSD-3 - sklearn-contrib-lightning (🥉20 · ⭐ 1.8K · 💀) - Large-scale linear classification, regression and.. BSD-3 - DESlib (🥉18 · ⭐ 490 · 💀) - A Python library for dynamic classifier and ensemble selection. BSD-3 - skggm (🥉17 · ⭐ 250) - Scikit-learn compatible estimation of general graphical models. MIT

Pytorch Utilities

Libraries that extend Pytorch with additional capabilities.

accelerate (🥇43 · ⭐ 8.9K) - A simple way to launch, train, and use PyTorch models on.. Apache-2

- [GitHub](https://github.com/huggingface/accelerate) (👨‍💻 360 · 🔀 1.1K · 📦 100K · 📋 1.8K - 5% open · ⏱️ 09.07.2025):

git clone https://github.com/huggingface/accelerate

- [PyPi](https://pypi.org/project/accelerate) (📥 12M / month · 📦 2.3K · ⏱️ 20.06.2025):

pip install accelerate

- [Conda](https://anaconda.org/conda-forge/accelerate) (📥 450K · ⏱️ 30.06.2025):

conda install -c conda-forge accelerate

tinygrad (🥇35 · ⭐ 30K) - You like pytorch? You like micrograd? You love tinygrad!. MIT

- [GitHub](https://github.com/tinygrad/tinygrad) (👨‍💻 410 · 🔀 3.5K · 📦 240 · 📋 950 - 14% open · ⏱️ 10.07.2025):

git clone https://github.com/geohot/tinygrad

PML (🥇31 · ⭐ 6.2K · 💤) - The easiest way to use deep metric learning in your application... MIT

- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (👨‍💻 46 · 🔀 660 · 📦 2.9K · 📋 530 - 14% open · ⏱️ 11.12.2024):

git clone https://github.com/KevinMusgrave/pytorch-metric-learning

- [PyPi](https://pypi.org/project/pytorch-metric-learning) (📥 810K / month · 📦 55 · ⏱️ 11.12.2024):

pip install pytorch-metric-learning

- [Conda](https://anaconda.org/metric-learning/pytorch-metric-learning) (📥 13K · ⏱️ 25.03.2025):

conda install -c metric-learning pytorch-metric-learning

torchdiffeq (🥇31 · ⭐ 6K) - Differentiable ODE solvers with full GPU support and O(1)-memory.. MIT

- [GitHub](https://github.com/rtqichen/torchdiffeq) (👨‍💻 23 · 🔀 940 · 📦 5.4K · 📋 230 - 34% open · ⏱️ 04.04.2025):

git clone https://github.com/rtqichen/torchdiffeq

- [PyPi](https://pypi.org/project/torchdiffeq) (📥 1M / month · 📦 120 · ⏱️ 21.11.2024):

pip install torchdiffeq

- [Conda](https://anaconda.org/conda-forge/torchdiffeq) (📥 23K · ⏱️ 22.04.2025):

conda install -c conda-forge torchdiffeq

torchsde (🥈29 · ⭐ 1.7K · 💤) - Differentiable SDE solvers with GPU support and efficient.. Apache-2

- [GitHub](https://github.com/google-research/torchsde) (👨‍💻 9 · 🔀 210 · 📦 5.4K · 📋 84 - 36% open · ⏱️ 30.12.2024):

git clone https://github.com/google-research/torchsde

- [PyPi](https://pypi.org/project/torchsde) (📥 2.3M / month · 📦 37 · ⏱️ 26.09.2023):

pip install torchsde

- [Conda](https://anaconda.org/conda-forge/torchsde) (📥 42K · ⏱️ 22.04.2025):

conda install -c conda-forge torchsde

torch-scatter (🥈26 · ⭐ 1.7K) - PyTorch Extension Library of Optimized Scatter Operations. MIT

- [GitHub](https://github.com/rusty1s/pytorch_scatter) (👨‍💻 33 · 🔀 190 · 📋 420 - 6% open · ⏱️ 30.05.2025):

git clone https://github.com/rusty1s/pytorch_scatter

- [PyPi](https://pypi.org/project/torch-scatter) (📥 41K / month · 📦 150 · ⏱️ 06.10.2023):

pip install torch-scatter

- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (📥 910K · ⏱️ 30.05.2025):

conda install -c conda-forge pytorch_scatter

PyTorch Sparse (🥈25 · ⭐ 1.1K) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT

- [GitHub](https://github.com/rusty1s/pytorch_sparse) (👨‍💻 47 · 🔀 160 · 📋 300 - 10% open · ⏱️ 31.05.2025):

git clone https://github.com/rusty1s/pytorch_sparse

- [PyPi](https://pypi.org/project/torch-sparse) (📥 28K / month · 📦 120 · ⏱️ 06.10.2023):

pip install torch-sparse

- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (📥 850K · ⏱️ 30.05.2025):

conda install -c conda-forge pytorch_sparse

Pytorch Toolbelt (🥉24 · ⭐ 1.5K) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT

- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (👨‍💻 8 · 🔀 120 · 📥 180 · 📋 33 - 12% open · ⏱️ 22.06.2025):

git clone https://github.com/BloodAxe/pytorch-toolbelt

- [PyPi](https://pypi.org/project/pytorch_toolbelt) (📥 10K / month · 📦 12 · ⏱️ 21.11.2024):

pip install pytorch_toolbelt

madgrad (🥉17 · ⭐ 800) - MADGRAD Optimization Method. MIT

- [GitHub](https://github.com/facebookresearch/madgrad) (👨‍💻 3 · 🔀 57 · 📦 100 · ⏱️ 27.01.2025):

git clone https://github.com/facebookresearch/madgrad

- [PyPi](https://pypi.org/project/madgrad) (📥 2.7K / month · 📦 1 · ⏱️ 08.03.2022):

pip install madgrad

pytorchviz (🥉14 · ⭐ 3.4K · 💤) - A small package to create visualizations of PyTorch execution.. MIT

- [GitHub](https://github.com/szagoruyko/pytorchviz) (👨‍💻 6 · 🔀 280 · 📋 72 - 47% open · ⏱️ 30.12.2024):

git clone https://github.com/szagoruyko/pytorchviz

Show 22 hidden projects...

- pretrainedmodels (🥈29 · ⭐ 9.1K · 💀) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 - EfficientNet-PyTorch (🥈28 · ⭐ 8.1K · 💀) - A PyTorch implementation of EfficientNet. Apache-2 - lightning-flash (🥈27 · ⭐ 1.7K · 💀) - Your PyTorch AI Factory - Flash enables you to easily.. Apache-2 - pytorch-optimizer (🥈26 · ⭐ 3.1K · 💀) - torch-optimizer -- collection of optimizers for.. Apache-2 - TabNet (🥈25 · ⭐ 2.8K · 💀) - PyTorch implementation of TabNet paper :.. MIT - EfficientNets (🥈25 · ⭐ 1.6K · 💀) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2 - pytorch-summary (🥉24 · ⭐ 4K · 💀) - Model summary in PyTorch similar to `model.summary()` in.. MIT - Higher (🥉24 · ⭐ 1.6K · 💀) - higher is a pytorch library allowing users to obtain higher.. Apache-2 - micrograd (🥉22 · ⭐ 12K · 💀) - A tiny scalar-valued autograd engine and a neural net library.. MIT - SRU (🥉22 · ⭐ 2.1K · 💀) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). MIT - AdaBound (🥉21 · ⭐ 2.9K · 💀) - An optimizer that trains as fast as Adam and as good as SGD. Apache-2 - reformer-pytorch (🥉21 · ⭐ 2.2K · 💀) - Reformer, the efficient Transformer, in Pytorch. MIT - Antialiased CNNs (🥉21 · ⭐ 1.7K · 💀) - pip install antialiased-cnns to improve stability and.. ❗️CC BY-NC-SA 4.0 - Performer Pytorch (🥉21 · ⭐ 1.1K · 💀) - An implementation of Performer, a linear attention-.. MIT - Poutyne (🥉21 · ⭐ 570) - A simplified framework and utilities for PyTorch. ❗️LGPL-3.0 - Torchmeta (🥉20 · ⭐ 2K · 💀) - A collection of extensions and data-loaders for few-shot.. MIT - Lambda Networks (🥉19 · ⭐ 1.5K · 💀) - Implementation of LambdaNetworks, a new approach to.. MIT - Torch-Struct (🥉19 · ⭐ 1.1K · 💀) - Fast, general, and tested differentiable structured.. MIT - Tez (🥉18 · ⭐ 1.2K · 💀) - Tez is a super-simple and lightweight Trainer for PyTorch. It.. Apache-2 - Tensor Sensor (🥉17 · ⭐ 810 · 💀) - The goal of this library is to generate more helpful.. MIT - Pywick (🥉17 · ⭐ 400 · 💀) - High-level batteries-included neural network training library for.. MIT - TorchDrift (🥉15 · ⭐ 320 · 💀) - Drift Detection for your PyTorch Models. Apache-2

Database Clients

Libraries for connecting to, operating, and querying databases.

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

Others

scipy (🥇50 · ⭐ 14K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3

- [GitHub](https://github.com/scipy/scipy) (👨‍💻 1.8K · 🔀 5.4K · 📥 500K · 📦 1.4M · 📋 11K - 15% open · ⏱️ 10.07.2025):

git clone https://github.com/scipy/scipy

- [PyPi](https://pypi.org/project/scipy) (📥 150M / month · 📦 56K · ⏱️ 22.06.2025):

pip install scipy

- [Conda](https://anaconda.org/conda-forge/scipy) (📥 65M · ⏱️ 29.06.2025):

conda install -c conda-forge scipy

SymPy (🥇50 · ⭐ 14K) - A computer algebra system written in pure Python. BSD-3

- [GitHub](https://github.com/sympy/sympy) (👨‍💻 1.4K · 🔀 4.7K · 📥 560K · 📦 280K · 📋 15K - 37% open · ⏱️ 10.07.2025):

git clone https://github.com/sympy/sympy

- [PyPi](https://pypi.org/project/sympy) (📥 53M / month · 📦 4.6K · ⏱️ 27.04.2025):

pip install sympy

- [Conda](https://anaconda.org/conda-forge/sympy) (📥 9.4M · ⏱️ 29.04.2025):

conda install -c conda-forge sympy

Streamlit (🥇46 · ⭐ 40K) - Streamlit A faster way to build and share data apps. Apache-2

- [GitHub](https://github.com/streamlit/streamlit) (👨‍💻 470 · 🔀 3.6K · 📦 990K · 📋 5.4K - 22% open · ⏱️ 10.07.2025):

git clone https://github.com/streamlit/streamlit

- [PyPi](https://pypi.org/project/streamlit) (📥 13M / month · 📦 4K · ⏱️ 26.06.2025):

pip install streamlit

Gradio (🥇44 · ⭐ 39K · 📉) - Wrap UIs around any model, share with anyone. Apache-2

- [GitHub](https://github.com/gradio-app/gradio) (👨‍💻 620 · 🔀 3K · 📦 82K · 📋 5.8K - 7% open · ⏱️ 10.07.2025):

git clone https://github.com/gradio-app/gradio

- [PyPi](https://pypi.org/project/gradio) (📥 7.6M / month · 📦 1.3K · ⏱️ 10.07.2025):

pip install gradio

Autograd (🥇37 · ⭐ 7.3K) - Efficiently computes derivatives of NumPy code. MIT

- [GitHub](https://github.com/HIPS/autograd) (👨‍💻 63 · 🔀 910 · 📦 14K · 📋 440 - 42% open · ⏱️ 30.06.2025):

git clone https://github.com/HIPS/autograd

- [PyPi](https://pypi.org/project/autograd) (📥 3.3M / month · 📦 310 · ⏱️ 05.05.2025):

pip install autograd

- [Conda](https://anaconda.org/conda-forge/autograd) (📥 580K · ⏱️ 05.05.2025):

conda install -c conda-forge autograd

PennyLane (🥇37 · ⭐ 2.7K) - PennyLane is a cross-platform Python library for quantum.. Apache-2

- [GitHub](https://github.com/PennyLaneAI/pennylane) (👨‍💻 200 · 🔀 670 · 📥 100 · 📦 1.8K · 📋 1.6K - 24% open · ⏱️ 10.07.2025):

git clone https://github.com/PennyLaneAI/PennyLane

- [PyPi](https://pypi.org/project/pennylane) (📥 160K / month · 📦 150 · ⏱️ 02.05.2025):

pip install pennylane

- [Conda](https://anaconda.org/conda-forge/pennylane) (📥 300K · ⏱️ 22.04.2025):

conda install -c conda-forge pennylane

carla (🥇36 · ⭐ 13K) - Open-source simulator for autonomous driving research. MIT

- [GitHub](https://github.com/carla-simulator/carla) (👨‍💻 180 · 🔀 4K · 📦 1.1K · 📋 6K - 19% open · ⏱️ 02.07.2025):

git clone https://github.com/carla-simulator/carla

- [PyPi](https://pypi.org/project/carla) (📥 41K / month · 📦 11 · ⏱️ 14.11.2023):

pip install carla

PyOD (🥇36 · ⭐ 9.3K) - A Python Library for Outlier and Anomaly Detection, Integrating Classical.. BSD-2

- [GitHub](https://github.com/yzhao062/pyod) (👨‍💻 64 · 🔀 1.4K · 📦 5.4K · 📋 390 - 60% open · ⏱️ 29.04.2025):

git clone https://github.com/yzhao062/pyod

- [PyPi](https://pypi.org/project/pyod) (📥 710K / month · 📦 130 · ⏱️ 29.04.2025):

pip install pyod

- [Conda](https://anaconda.org/conda-forge/pyod) (📥 160K · ⏱️ 30.04.2025):

conda install -c conda-forge pyod

DeepChem (🥈34 · ⭐ 6.1K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT

- [GitHub](https://github.com/deepchem/deepchem) (👨‍💻 260 · 🔀 1.9K · 📦 640 · 📋 2K - 39% open · ⏱️ 09.07.2025):

git clone https://github.com/deepchem/deepchem

- [PyPi](https://pypi.org/project/deepchem) (📥 40K / month · 📦 20 · ⏱️ 08.07.2025):

pip install deepchem

- [Conda](https://anaconda.org/conda-forge/deepchem) (📥 120K · ⏱️ 22.04.2025):

conda install -c conda-forge deepchem

agate (🥈34 · ⭐ 1.2K) - A Python data analysis library that is optimized for humans instead of.. MIT

- [GitHub](https://github.com/wireservice/agate) (👨‍💻 54 · 🔀 150 · 📦 5.1K · 📋 650 - 0% open · ⏱️ 10.06.2025):

git clone https://github.com/wireservice/agate

- [PyPi](https://pypi.org/project/agate) (📥 21M / month · 📦 54 · ⏱️ 29.01.2025):

pip install agate

- [Conda](https://anaconda.org/conda-forge/agate) (📥 340K · ⏱️ 22.04.2025):

conda install -c conda-forge agate

Datasette (🥈33 · ⭐ 10K) - An open source multi-tool for exploring and publishing data. Apache-2

- [GitHub](https://github.com/simonw/datasette) (👨‍💻 82 · 🔀 760 · 📥 74 · 📦 1.6K · 📋 1.9K - 32% open · ⏱️ 29.05.2025):

git clone https://github.com/simonw/datasette

- [PyPi](https://pypi.org/project/datasette) (📥 190K / month · 📦 460 · ⏱️ 22.04.2025):

pip install datasette

- [Conda](https://anaconda.org/conda-forge/datasette) (📥 66K · ⏱️ 22.04.2025):

conda install -c conda-forge datasette

Pythran (🥈33 · ⭐ 2.1K) - Ahead of Time compiler for numeric kernels. BSD-3

- [GitHub](https://github.com/serge-sans-paille/pythran) (👨‍💻 75 · 🔀 200 · 📦 3.5K · 📋 910 - 16% open · ⏱️ 02.07.2025):

git clone https://github.com/serge-sans-paille/pythran

- [PyPi](https://pypi.org/project/pythran) (📥 350K / month · 📦 28 · ⏱️ 23.05.2025):

pip install pythran

- [Conda](https://anaconda.org/conda-forge/pythran) (📥 1.2M · ⏱️ 07.07.2025):

conda install -c conda-forge pythran

hdbscan (🥈32 · ⭐ 3K) - A high performance implementation of HDBSCAN clustering. BSD-3

- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (👨‍💻 96 · 🔀 500 · 📦 7.4K · 📋 530 - 67% open · ⏱️ 13.05.2025):

git clone https://github.com/scikit-learn-contrib/hdbscan

- [PyPi](https://pypi.org/project/hdbscan) (📥 750K / month · 📦 350 · ⏱️ 18.11.2024):

pip install hdbscan

- [Conda](https://anaconda.org/conda-forge/hdbscan) (📥 2.6M · ⏱️ 22.04.2025):

conda install -c conda-forge hdbscan

tensorly (🥈32 · ⭐ 1.6K) - TensorLy: Tensor Learning in Python. BSD-2

- [GitHub](https://github.com/tensorly/tensorly) (👨‍💻 73 · 🔀 290 · 📦 1.1K · 📋 280 - 23% open · ⏱️ 05.05.2025):

git clone https://github.com/tensorly/tensorly

- [PyPi](https://pypi.org/project/tensorly) (📥 180K / month · 📦 99 · ⏱️ 12.11.2024):

pip install tensorly

- [Conda](https://anaconda.org/conda-forge/tensorly) (📥 380K · ⏱️ 22.04.2025):

conda install -c conda-forge tensorly

pyjanitor (🥈32 · ⭐ 1.4K) - Clean APIs for data cleaning. Python implementation of R package.. MIT

- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (👨‍💻 110 · 🔀 170 · 📦 970 · 📋 580 - 19% open · ⏱️ 10.07.2025):

git clone https://github.com/pyjanitor-devs/pyjanitor

- [PyPi](https://pypi.org/project/pyjanitor) (📥 100K / month · 📦 42 · ⏱️ 07.03.2025):

pip install pyjanitor

- [Conda](https://anaconda.org/conda-forge/pyjanitor) (📥 280K · ⏱️ 22.04.2025):

conda install -c conda-forge pyjanitor

datalad (🥈32 · ⭐ 590) - Keep code, data, containers under control with git and git-annex. MIT

- [GitHub](https://github.com/datalad/datalad) (👨‍💻 59 · 🔀 110 · 📦 530 · 📋 4K - 14% open · ⏱️ 03.07.2025):

git clone https://github.com/datalad/datalad

- [PyPi](https://pypi.org/project/datalad) (📥 17K / month · 📦 110 · ⏱️ 02.07.2025):

pip install datalad

- [Conda](https://anaconda.org/conda-forge/datalad) (📥 910K · ⏱️ 03.07.2025):

conda install -c conda-forge datalad

anomalib (🥈31 · ⭐ 4.5K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2

- [GitHub](https://github.com/open-edge-platform/anomalib) (👨‍💻 92 · 🔀 760 · 📥 32K · 📦 190 · 📋 1.1K - 10% open · ⏱️ 09.07.2025):

git clone https://github.com/openvinotoolkit/anomalib

- [PyPi](https://pypi.org/project/anomalib) (📥 18K / month · 📦 5 · ⏱️ 19.03.2025):

pip install anomalib

causalml (🥈30 · ⭐ 5.5K) - Uplift modeling and causal inference with machine learning.. Apache-2

- [GitHub](https://github.com/uber/causalml) (👨‍💻 68 · 🔀 820 · 📦 300 · 📋 420 - 10% open · ⏱️ 09.07.2025):

git clone https://github.com/uber/causalml

- [PyPi](https://pypi.org/project/causalml) (📥 38K / month · 📦 10 · ⏱️ 09.07.2025):

pip install causalml

River (🥈30 · ⭐ 5.4K) - Online machine learning in Python. BSD-3

- [GitHub](https://github.com/online-ml/river) (👨‍💻 130 · 🔀 570 · 📦 780 · 📋 620 - 19% open · ⏱️ 02.07.2025):

git clone https://github.com/online-ml/river

- [PyPi](https://pypi.org/project/river) (📥 98K / month · 📦 64 · ⏱️ 25.11.2024):

pip install river

- [Conda](https://anaconda.org/conda-forge/river) (📥 120K · ⏱️ 22.04.2025):

conda install -c conda-forge river

dstack (🥈30 · ⭐ 1.8K) - dstack is an open-source container orchestrator that simplifies.. MPL-2.0

- [GitHub](https://github.com/dstackai/dstack) (👨‍💻 56 · 🔀 180 · 📦 19 · 📋 1.4K - 9% open · ⏱️ 10.07.2025):

git clone https://github.com/dstackai/dstack

- [PyPi](https://pypi.org/project/dstack) (📥 5K / month · ⏱️ 09.07.2025):

pip install dstack

adapter-transformers (🥈28 · ⭐ 2.7K) - A Unified Library for Parameter-Efficient and Modular.. Apache-2 huggingface

- [GitHub](https://github.com/adapter-hub/adapters) (👨‍💻 15 · 🔀 360 · 📦 250 · 📋 410 - 11% open · ⏱️ 27.05.2025):

git clone https://github.com/Adapter-Hub/adapter-transformers

- [PyPi](https://pypi.org/project/adapter-transformers) (📥 4.4K / month · 📦 12 · ⏱️ 07.07.2024):

pip install adapter-transformers

Prince (🥈28 · ⭐ 1.4K) - Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA,.. MIT

- [GitHub](https://github.com/MaxHalford/prince) (👨‍💻 16 · 🔀 180 · 📦 760 · ⏱️ 26.06.2025):

git clone https://github.com/MaxHalford/prince

- [PyPi](https://pypi.org/project/prince) (📥 150K / month · 📦 20 · ⏱️ 09.03.2025):

pip install prince

- [Conda](https://anaconda.org/conda-forge/prince-factor-analysis) (📥 26K · ⏱️ 22.04.2025):

conda install -c conda-forge prince-factor-analysis

Trax (🥉27 · ⭐ 8.2K) - Trax Deep Learning with Clear Code and Speed. Apache-2

- [GitHub](https://github.com/google/trax) (👨‍💻 81 · 🔀 820 · 📦 220 · 📋 250 - 49% open · ⏱️ 10.04.2025):

git clone https://github.com/google/trax

- [PyPi](https://pypi.org/project/trax) (📥 1.4K / month · 📦 1 · ⏱️ 26.10.2021):

pip install trax

pycm (🥉27 · ⭐ 1.5K) - Multi-class confusion matrix library in Python. MIT

- [GitHub](https://github.com/sepandhaghighi/pycm) (👨‍💻 18 · 🔀 130 · 📦 410 · 📋 210 - 8% open · ⏱️ 04.04.2025):

git clone https://github.com/sepandhaghighi/pycm

- [PyPi](https://pypi.org/project/pycm) (📥 54K / month · 📦 24 · ⏱️ 04.04.2025):

pip install pycm

avalanche (🥉26 · ⭐ 1.9K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT

- [GitHub](https://github.com/ContinualAI/avalanche) (👨‍💻 86 · 🔀 310 · 📥 60 · 📦 140 · 📋 830 - 12% open · ⏱️ 11.03.2025):

git clone https://github.com/ContinualAI/avalanche

- [PyPi](https://pypi.org/project/avalanche-lib) (📥 1.6K / month · 📦 3 · ⏱️ 29.10.2024):

pip install avalanche-lib

TabPy (🥉26 · ⭐ 1.6K · 💤) - Execute Python code on the fly and display results in Tableau.. MIT

- [GitHub](https://github.com/tableau/TabPy) (👨‍💻 51 · 🔀 600 · 📦 220 · 📋 320 - 6% open · ⏱️ 25.11.2024):

git clone https://github.com/tableau/TabPy

- [PyPi](https://pypi.org/project/tabpy) (📥 6.9K / month · 📦 2 · ⏱️ 25.11.2024):

pip install tabpy

- [Conda](https://anaconda.org/anaconda/tabpy-client) (📥 5.4K · ⏱️ 22.04.2025):

conda install -c anaconda tabpy-client

AugLy (🥉25 · ⭐ 5K) - A data augmentations library for audio, image, text, and video. MIT

- [GitHub](https://github.com/facebookresearch/AugLy) (👨‍💻 40 · 🔀 300 · 📦 180 · 📋 80 - 30% open · ⏱️ 17.06.2025):

git clone https://github.com/facebookresearch/AugLy

- [PyPi](https://pypi.org/project/augly) (📥 3.3K / month · 📦 4 · ⏱️ 05.12.2023):

pip install augly

metric-learn (🥉25 · ⭐ 1.4K · 💤) - Metric learning algorithms in Python. MIT

- [GitHub](https://github.com/scikit-learn-contrib/metric-learn) (👨‍💻 24 · 🔀 230 · 📦 490 · 📋 180 - 30% open · ⏱️ 03.08.2024):

git clone https://github.com/scikit-learn-contrib/metric-learn

- [PyPi](https://pypi.org/project/metric-learn) (📥 5.3K / month · 📦 7 · ⏱️ 09.10.2023):

pip install metric-learn

- [Conda](https://anaconda.org/conda-forge/metric-learn) (📥 17K · ⏱️ 22.04.2025):

conda install -c conda-forge metric-learn

apricot (🥉24 · ⭐ 510) - apricot implements submodular optimization for the purpose of selecting.. MIT

- [GitHub](https://github.com/jmschrei/apricot) (👨‍💻 4 · 🔀 49 · 📥 32 · 📦 200 · 📋 34 - 38% open · ⏱️ 09.06.2025):

git clone https://github.com/jmschrei/apricot

- [PyPi](https://pypi.org/project/apricot-select) (📥 11K / month · 📦 16 · ⏱️ 18.02.2021):

pip install apricot-select

PaddleHub (🥉23 · ⭐ 13K · 💤) - 400+ AI Models: Rich, high-quality AI models, including.. Apache-2

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git clone https://github.com/PaddlePaddle/PaddleHub

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pip install paddlehub

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git clone https://github.com/solegalli/feature_engine

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conda install -c conda-forge feature_engine

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git clone https://github.com/Project-MONAI/MONAILabel

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pip install monailabel-weekly

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git clone https://github.com/rasbt/biopandas

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pip install biopandas

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conda install -c conda-forge biopandas

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git clone https://github.com/pykale/pykale

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pip install pykale

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git clone https://github.com/yzhao062/SUOD

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pip install suod

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git clone https://github.com/clementchadebec/benchmark_VAE

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pip install pythae

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git clone https://github.com/infer-actively/pymdp

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pip install inferactively-pymdp

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git clone https://github.com/facebookresearch/NeuralCompression

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pip install neuralcompression

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