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 5.1M 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!

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Contents¶

Machine Learning Frameworks 64 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 · 📦 540K · 📋 42K - 4% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/tensorflow) (📥 24M / month · 📦 9.5K · ⏱️ 13.08.2025):

pip install tensorflow

- [Conda](https://anaconda.org/conda-forge/tensorflow) (📥 5.9M · ⏱️ 11.09.2025):

conda install -c conda-forge tensorflow

- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (📥 81M · ⭐ 2.8K · ⏱️ 09.10.2025):

docker pull tensorflow/tensorflow

PyTorch (🥇56 · ⭐ 94K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3

- [GitHub](https://github.com/pytorch/pytorch) (👨‍💻 6K · 🔀 26K · 📥 110K · 📦 830K · 📋 56K - 30% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/torch) (📥 67M / month · 📦 29K · ⏱️ 06.08.2025):

pip install torch

- [Conda](https://anaconda.org/pytorch/pytorch) (📥 29M · ⏱️ 25.03.2025):

conda install -c pytorch pytorch

scikit-learn (🥇53 · ⭐ 64K) - scikit-learn: machine learning in Python. BSD-3

- [GitHub](https://github.com/scikit-learn/scikit-learn) (👨‍💻 3.4K · 🔀 26K · 📥 1.1K · 📦 1.3M · 📋 12K - 17% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/scikit-learn) (📥 140M / month · 📦 34K · ⏱️ 09.09.2025):

pip install scikit-learn

- [Conda](https://anaconda.org/conda-forge/scikit-learn) (📥 40M · ⏱️ 09.09.2025):

conda install -c conda-forge scikit-learn

Keras (🥇50 · ⭐ 63K) - Deep Learning for humans. Apache-2

- [GitHub](https://github.com/keras-team/keras) (👨‍💻 1.4K · 🔀 20K · 📦 300K · 📋 13K - 2% open · ⏱️ 08.10.2025):

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

- [PyPi](https://pypi.org/project/keras) (📥 17M / month · 📦 2K · ⏱️ 21.08.2025):

pip install keras

- [Conda](https://anaconda.org/conda-forge/keras) (📥 4.4M · ⏱️ 14.08.2025):

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) (👨‍💻 670 · 🔀 8.8K · 📥 19K · 📦 170K · 📋 5.6K - 8% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/xgboost) (📥 33M / month · 📦 2.8K · ⏱️ 26.09.2025):

pip install xgboost

- [Conda](https://anaconda.org/conda-forge/xgboost) (📥 6.5M · ⏱️ 16.09.2025):

conda install -c conda-forge xgboost

PaddlePaddle (🥇46 · ⭐ 23K · 📈) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2

- [GitHub](https://github.com/PaddlePaddle/Paddle) (👨‍💻 1.4K · 🔀 5.8K · 📥 15K · 📦 8.7K · 📋 20K - 9% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/paddlepaddle) (📥 1.6M / month · 📦 260 · ⏱️ 08.09.2025):

pip install paddlepaddle

PySpark (🥇45 · ⭐ 42K · 📈) - Apache Spark Python API. Apache-2

- [GitHub](https://github.com/apache/spark) (👨‍💻 3.3K · 🔀 29K · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/pyspark) (📥 47M / month · 📦 2K · ⏱️ 28.09.2025):

pip install pyspark

- [Conda](https://anaconda.org/conda-forge/pyspark) (📥 4.2M · ⏱️ 08.09.2025):

conda install -c conda-forge pyspark

jax (🥇45 · ⭐ 34K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2

- [GitHub](https://github.com/jax-ml/jax) (👨‍💻 960 · 🔀 3.2K · 📦 47K · 📋 6.6K - 24% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/jax) (📥 12M / month · 📦 3K · ⏱️ 16.09.2025):

pip install jax

- [Conda](https://anaconda.org/conda-forge/jaxlib) (📥 3.1M · ⏱️ 06.10.2025):

conda install -c conda-forge jaxlib

pytorch-lightning (🥇45 · ⭐ 30K) - Pretrain, finetune ANY AI model of ANY size on 1 or.. Apache-2

- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (👨‍💻 1K · 🔀 3.6K · 📥 15K · 📦 48K · 📋 7.4K - 11% open · ⏱️ 07.10.2025):

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

- [PyPi](https://pypi.org/project/pytorch-lightning) (📥 12M / month · 📦 1.8K · ⏱️ 05.09.2025):

pip install pytorch-lightning

- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (📥 1.7M · ⏱️ 05.09.2025):

conda install -c conda-forge pytorch-lightning

StatsModels (🥇45 · ⭐ 11K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3

- [GitHub](https://github.com/statsmodels/statsmodels) (👨‍💻 470 · 🔀 3.3K · 📥 36 · 📦 180K · 📋 5.8K - 50% open · ⏱️ 30.09.2025):

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

- [PyPi](https://pypi.org/project/statsmodels) (📥 23M / month · 📦 5.6K · ⏱️ 07.07.2025):

pip install statsmodels

- [Conda](https://anaconda.org/conda-forge/statsmodels) (📥 22M · ⏱️ 01.10.2025):

conda install -c conda-forge statsmodels

Catboost (🥈42 · ⭐ 8.6K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2

- [GitHub](https://github.com/catboost/catboost) (👨‍💻 1.4K · 🔀 1.2K · 📥 450K · 📦 19 · 📋 2.5K - 25% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/catboost) (📥 4.6M / month · 📦 650 · ⏱️ 13.04.2025):

pip install catboost

- [Conda](https://anaconda.org/conda-forge/catboost) (📥 2.2M · ⏱️ 09.08.2025):

conda install -c conda-forge catboost

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

- [GitHub](https://github.com/fastai/fastai) (👨‍💻 680 · 🔀 7.6K · 📦 23K · 📋 1.9K - 13% open · ⏱️ 05.09.2025):

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

- [PyPi](https://pypi.org/project/fastai) (📥 740K / month · 📦 340 · ⏱️ 19.08.2025):

pip install fastai

LightGBM (🥈41 · ⭐ 18K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT

- [GitHub](https://github.com/microsoft/LightGBM) (👨‍💻 330 · 🔀 3.9K · 📥 310K · 📦 56K · 📋 3.6K - 12% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/lightgbm) (📥 11M / month · 📦 1.5K · ⏱️ 15.02.2025):

pip install lightgbm

- [Conda](https://anaconda.org/conda-forge/lightgbm) (📥 4M · ⏱️ 12.09.2025):

conda install -c conda-forge lightgbm

PyFlink (🥈38 · ⭐ 25K · 📈) - Apache Flink Python API. Apache-2

- [GitHub](https://github.com/apache/flink) (👨‍💻 2.1K · 🔀 14K · 📦 21 · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/apache-flink) (📥 540K / month · 📦 37 · ⏱️ 25.09.2025):

pip install apache-flink

Flax (🥈38 · ⭐ 6.8K) - Flax is a neural network library for JAX that is designed for.. Apache-2

- [GitHub](https://github.com/google/flax) (👨‍💻 280 · 🔀 740 · 📥 61 · 📦 15K · 📋 1.3K - 34% open · ⏱️ 07.10.2025):

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

- [PyPi](https://pypi.org/project/flax) (📥 2.6M / month · 📦 740 · ⏱️ 25.09.2025):

pip install flax

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

conda install -c conda-forge flax

ivy (🥈35 · ⭐ 14K · 📉) - Convert Machine Learning Code Between Frameworks. Apache-2

- [GitHub](https://github.com/ivy-llc/ivy) (👨‍💻 1.5K · 🔀 5.6K · 📋 17K - 5% open · ⏱️ 18.09.2025):

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

- [PyPi](https://pypi.org/project/ivy) (📥 46K / month · 📦 16 · ⏱️ 16.06.2025):

pip install ivy

einops (🥈35 · ⭐ 9.2K) - Flexible and powerful tensor operations for readable and reliable code.. MIT

- [GitHub](https://github.com/arogozhnikov/einops) (👨‍💻 34 · 🔀 380 · 📦 82K · 📋 200 - 17% open · ⏱️ 12.08.2025):

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

- [PyPi](https://pypi.org/project/einops) (📥 14M / month · 📦 2.6K · ⏱️ 09.02.2025):

pip install einops

- [Conda](https://anaconda.org/conda-forge/einops) (📥 460K · ⏱️ 22.04.2025):

conda install -c conda-forge einops

Ignite (🥈35 · ⭐ 4.7K) - High-level library to help with training and evaluating neural.. BSD-3

- [GitHub](https://github.com/pytorch/ignite) (👨‍💻 980 · 🔀 660 · 📦 3.9K · 📋 1.5K - 11% open · ⏱️ 25.09.2025):

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

- [PyPi](https://pypi.org/project/pytorch-ignite) (📥 210K / month · 📦 120 · ⏱️ 09.10.2025):

pip install pytorch-ignite

- [Conda](https://anaconda.org/pytorch/ignite) (📥 250K · ⏱️ 30.03.2025):

conda install -c pytorch ignite

Jina (🥈33 · ⭐ 22K · 💤) - Build multimodal AI applications with cloud-native stack. Apache-2

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

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

- [PyPi](https://pypi.org/project/jina) (📥 140K / month · 📦 29 · ⏱️ 24.03.2025):

pip install jina

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

conda install -c conda-forge jina-core

- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (📥 1.8M · ⭐ 9 · ⏱️ 24.03.2025):

docker pull jinaai/jina

mlpack (🥈33 · ⭐ 5.5K) - mlpack: a fast, header-only C++ machine learning library. BSD-3

- [GitHub](https://github.com/mlpack/mlpack) (👨‍💻 330 · 🔀 1.7K · 📋 1.7K - 1% open · ⏱️ 01.10.2025):

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

- [PyPi](https://pypi.org/project/mlpack) (📥 7.1K / month · 📦 6 · ⏱️ 22.05.2025):

pip install mlpack

- [Conda](https://anaconda.org/conda-forge/mlpack) (📥 400K · ⏱️ 22.04.2025):

conda install -c conda-forge mlpack

Thinc (🥈33 · ⭐ 2.9K · 💤) - A refreshing functional take on deep learning, compatible with your.. MIT

- [GitHub](https://github.com/explosion/thinc) (👨‍💻 67 · 🔀 280 · 📥 1.9K · 📦 70K · 📋 160 - 14% open · ⏱️ 07.03.2025):

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

- [PyPi](https://pypi.org/project/thinc) (📥 14M / month · 📦 160 · ⏱️ 04.04.2025):

pip install thinc

- [Conda](https://anaconda.org/conda-forge/thinc) (📥 3.9M · ⏱️ 06.07.2025):

conda install -c conda-forge thinc

Ludwig (🥈32 · ⭐ 12K · 💤) - Low-code framework for building custom LLMs, neural networks,.. Apache-2

- [GitHub](https://github.com/ludwig-ai/ludwig) (👨‍💻 160 · 🔀 1.2K · 📦 330 · 📋 1.1K - 4% open · ⏱️ 17.10.2024):

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

- [PyPi](https://pypi.org/project/ludwig) (📥 4.2K / month · 📦 6 · ⏱️ 30.07.2024):

pip install ludwig

Sonnet (🥈32 · ⭐ 9.9K) - TensorFlow-based neural network library. Apache-2

- [GitHub](https://github.com/google-deepmind/sonnet) (👨‍💻 61 · 🔀 1.3K · 📦 1.5K · 📋 190 - 16% open · ⏱️ 04.08.2025):

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

- [PyPi](https://pypi.org/project/dm-sonnet) (📥 52K / month · 📦 19 · ⏱️ 02.01.2024):

pip install dm-sonnet

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

conda install -c conda-forge sonnet

skorch (🥈32 · ⭐ 6.1K) - A scikit-learn compatible neural network library that wraps.. BSD-3

- [GitHub](https://github.com/skorch-dev/skorch) (👨‍💻 68 · 🔀 400 · 📦 1.7K · 📋 540 - 12% open · ⏱️ 15.08.2025):

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

- [PyPi](https://pypi.org/project/skorch) (📥 170K / month · 📦 110 · ⏱️ 08.08.2025):

pip install skorch

- [Conda](https://anaconda.org/conda-forge/skorch) (📥 810K · ⏱️ 08.08.2025):

conda install -c conda-forge skorch

Haiku (🥈32 · ⭐ 3.1K) - JAX-based neural network library. Apache-2

- [GitHub](https://github.com/google-deepmind/dm-haiku) (👨‍💻 90 · 🔀 260 · 📦 2.6K · 📋 250 - 29% open · ⏱️ 29.09.2025):

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

- [PyPi](https://pypi.org/project/dm-haiku) (📥 290K / month · 📦 200 · ⏱️ 18.09.2025):

pip install dm-haiku

- [Conda](https://anaconda.org/conda-forge/dm-haiku) (📥 43K · ⏱️ 19.09.2025):

conda install -c conda-forge dm-haiku

tensorflow-upstream (🥉31 · ⭐ 700) - TensorFlow ROCm port. Apache-2

- [GitHub](https://github.com/ROCm/tensorflow-upstream) (👨‍💻 5K · 🔀 100 · 📥 31 · 📋 400 - 3% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/tensorflow-rocm) (📥 2.4K / month · 📦 9 · ⏱️ 10.01.2024):

pip install tensorflow-rocm

Geomstats (🥉30 · ⭐ 1.4K) - Computations and statistics on manifolds with geometric structures. MIT

- [GitHub](https://github.com/geomstats/geomstats) (👨‍💻 97 · 🔀 260 · 📦 150 · 📋 570 - 36% open · ⏱️ 06.10.2025):

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

- [PyPi](https://pypi.org/project/geomstats) (📥 23K / month · 📦 12 · ⏱️ 09.09.2024):

pip install geomstats

- [Conda](https://anaconda.org/conda-forge/geomstats) (📥 8K · ⏱️ 22.04.2025):

conda install -c conda-forge geomstats

NuPIC (🥉28 · ⭐ 6.4K · 💤) - Numenta Platform for Intelligent Computing is an implementation of.. MIT

- [GitHub](https://github.com/numenta/nupic-legacy) (👨‍💻 120 · 🔀 1.5K · 📥 25 · 📦 21 · 📋 1.8K - 25% open · ⏱️ 03.12.2024):

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

- [PyPi](https://pypi.org/project/nupic) (📥 1.5K / month · ⏱️ 01.09.2016):

pip install nupic

pyRiemann (🥉28 · ⭐ 700) - Machine learning for multivariate data through the Riemannian.. BSD-3

- [GitHub](https://github.com/pyRiemann/pyRiemann) (👨‍💻 38 · 🔀 170 · 📦 480 · 📋 110 - 2% open · ⏱️ 24.09.2025):

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

- [PyPi](https://pypi.org/project/pyriemann) (📥 140K / month · 📦 31 · ⏱️ 23.07.2025):

pip install pyriemann

- [Conda](https://anaconda.org/conda-forge/pyriemann) (📥 15K · ⏱️ 23.07.2025):

conda install -c conda-forge pyriemann

Determined (🥉26 · ⭐ 3.2K · 💤) - Determined is an open-source machine learning.. Apache-2

- [GitHub](https://github.com/determined-ai/determined) (👨‍💻 120 · 🔀 360 · 📥 7.8K · 📋 450 - 22% open · ⏱️ 20.03.2025):

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

- [PyPi](https://pypi.org/project/determined) (📥 25K / month · 📦 4 · ⏱️ 19.03.2025):

pip install determined

Neural Network Libraries (🥉26 · ⭐ 2.8K) - Neural Network Libraries. Apache-2

- [GitHub](https://github.com/sony/nnabla) (👨‍💻 76 · 🔀 340 · 📥 1K · 📋 95 - 36% open · ⏱️ 29.08.2025):

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

- [PyPi](https://pypi.org/project/nnabla) (📥 2.7K / month · 📦 44 · ⏱️ 29.05.2024):

pip install nnabla

deepinv (🥉26 · ⭐ 520) - DeepInverse: a PyTorch library for solving imaging inverse problems.. BSD-3

- [GitHub](https://github.com/deepinv/deepinv) (👨‍💻 51 · 🔀 120 · 📥 22 · 📦 23 · 📋 340 - 34% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/deepinv) (📥 3.4K / month · ⏱️ 08.10.2025):

pip install deepinv

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) (📥 2.1K / month · ⏱️ 04.12.2023):

pip install towhee

fklearn (🥉22 · ⭐ 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) (📥 1K / month · ⏱️ 26.02.2025):

pip install fklearn

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) (📥 640 / month · ⏱️ 30.10.2024):

pip install chefboost

NeoML (🥉18 · ⭐ 790) - Machine learning framework for both deep learning and traditional.. Apache-2

- [GitHub](https://github.com/neoml-lib/neoml) (👨‍💻 40 · 🔀 130 · 📦 2 · 📋 91 - 40% open · ⏱️ 15.07.2025):

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

- [PyPi](https://pypi.org/project/neoml) (📥 370 / month · ⏱️ 26.12.2023):

pip install neoml

ThunderGBM (🥉18 · ⭐ 710 · 💤) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2

- [GitHub](https://github.com/Xtra-Computing/thundergbm) (👨‍💻 12 · 🔀 88 · 📦 4 · 📋 81 - 48% open · ⏱️ 19.03.2025):

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

- [PyPi](https://pypi.org/project/thundergbm) (📥 200 / month · ⏱️ 19.09.2022):

pip install thundergbm

Runhouse (🥉17 · ⭐ 1K) - Distribute and run AI workloads magically in Python, like PyTorch for.. Apache-2

- [GitHub](https://github.com/run-house/runhouse) (👨‍💻 16 · 🔀 39 · 📥 79 · 📋 52 - 19% open · ⏱️ 15.07.2025):

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

- [PyPi](https://pypi.org/project/runhouse) (📥 5K / month · 📦 1 · ⏱️ 10.03.2025):

pip install runhouse

Show 26 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 · ⭐ 10K · 💀) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 - Chainer (🥈33 · ⭐ 5.9K · 💀) - A flexible framework of neural networks for deep learning. MIT - MindsDB (🥈32 · ⭐ 36K) - AI Analytics and Knowledge Engine for RAG over large-scale,.. ❗️ICU - Turi Create (🥈32 · ⭐ 11K · 💀) - Turi Create simplifies the development of custom machine.. BSD-3 - TFlearn (🥈32 · ⭐ 9.6K · 💀) - Deep learning library featuring a higher-level API for TensorFlow. MIT - Vowpal Wabbit (🥈32 · ⭐ 8.6K · 💀) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3 - tensorpack (🥈32 · ⭐ 6.3K · 💀) - A Neural Net Training Interface on TensorFlow, with.. Apache-2 - 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 (🥉29 · ⭐ 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 · ⭐ 3.1K · 💀) - Unified and efficient Machine Learning. BSD-3 - ktrain (🥉26 · ⭐ 1.3K · 💀) - ktrain is a Python library that makes deep learning and AI.. Apache-2 - 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 - Neural Tangents (🥉22 · ⭐ 2.4K · 💀) - Fast and Easy Infinite Neural Networks in Python. Apache-2 - ThunderSVM (🥉22 · ⭐ 1.6K · 💀) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2 - Torchbearer (🥉22 · ⭐ 640 · 💀) - torchbearer: A model fitting library for PyTorch. MIT - mace (🥉21 · ⭐ 5K · 💀) - MACE is a deep learning inference framework optimized for mobile.. Apache-2 - Objax (🥉21 · ⭐ 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 (🥉14 · ⭐ 290 · 💀) - A Jax-based library for building transformers, includes.. MIT

Data Visualization¶

General-purpose and task-specific data visualization libraries.

Matplotlib (🥇49 · ⭐ 22K) - matplotlib: plotting with Python. ❗Unlicensed

- [GitHub](https://github.com/matplotlib/matplotlib) (👨‍💻 1.9K · 🔀 8.1K · 📦 1.9M · 📋 11K - 14% open · ⏱️ 08.10.2025):

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

- [PyPi](https://pypi.org/project/matplotlib) (📥 120M / month · 📦 68K · ⏱️ 09.10.2025):

pip install matplotlib

- [Conda](https://anaconda.org/conda-forge/matplotlib) (📥 33M · ⏱️ 04.09.2025):

conda install -c conda-forge matplotlib

Plotly (🥇47 · ⭐ 18K) - The interactive graphing library for Python. MIT

- [GitHub](https://github.com/plotly/plotly.py) (👨‍💻 300 · 🔀 2.7K · 📥 510 · 📦 460K · 📋 3.3K - 21% open · ⏱️ 03.10.2025):

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

- [PyPi](https://pypi.org/project/plotly) (📥 35M / month · 📦 9.7K · ⏱️ 02.10.2025):

pip install plotly

- [Conda](https://anaconda.org/conda-forge/plotly) (📥 11M · ⏱️ 03.10.2025):

conda install -c conda-forge plotly

- [npm](https://www.npmjs.com/package/plotlywidget) (📥 2.8K / month · 📦 9 · ⏱️ 12.01.2021):

npm install plotlywidget

dash (🥇45 · ⭐ 24K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT

- [GitHub](https://github.com/plotly/dash) (👨‍💻 190 · 🔀 2.2K · 📥 100 · 📦 89K · 📋 2.1K - 27% open · ⏱️ 07.10.2025):

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

- [PyPi](https://pypi.org/project/dash) (📥 5.1M / month · 📦 1.9K · ⏱️ 07.10.2025):

pip install dash

- [Conda](https://anaconda.org/conda-forge/dash) (📥 2M · ⏱️ 11.08.2025):

conda install -c conda-forge dash

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

- [GitHub](https://github.com/bokeh/bokeh) (👨‍💻 720 · 🔀 4.2K · 📦 100K · 📋 8K - 10% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/bokeh) (📥 5.3M / month · 📦 2.1K · ⏱️ 29.08.2025):

pip install bokeh

- [Conda](https://anaconda.org/conda-forge/bokeh) (📥 18M · ⏱️ 30.08.2025):

conda install -c conda-forge bokeh

Seaborn (🥇42 · ⭐ 13K) - Statistical data visualization in Python. BSD-3

- [GitHub](https://github.com/mwaskom/seaborn) (👨‍💻 220 · 🔀 2K · 📥 510 · 📦 700K · 📋 2.6K - 6% open · ⏱️ 10.07.2025):

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

- [PyPi](https://pypi.org/project/seaborn) (📥 31M / month · 📦 11K · ⏱️ 25.01.2024):

pip install seaborn

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

conda install -c conda-forge seaborn

Altair (🥇41 · ⭐ 10K) - Declarative visualization library for Python. BSD-3

- [GitHub](https://github.com/vega/altair) (👨‍💻 180 · 🔀 800 · 📥 260 · 📦 240K · 📋 2.1K - 6% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/altair) (📥 37M / month · 📦 920 · ⏱️ 23.11.2024):

pip install altair

- [Conda](https://anaconda.org/conda-forge/altair) (📥 2.9M · ⏱️ 22.04.2025):

conda install -c conda-forge altair

FiftyOne (🥈39 · ⭐ 9.9K) - Visualize, create, and debug image and video datasets.. Apache-2

- [GitHub](https://github.com/voxel51/fiftyone) (👨‍💻 160 · 🔀 670 · 📦 1K · 📋 1.7K - 35% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/fiftyone) (📥 140K / month · 📦 36 · ⏱️ 25.09.2025):

pip install fiftyone

Graphviz (🥈39 · ⭐ 1.8K) - Simple Python interface for Graphviz. MIT

- [GitHub](https://github.com/xflr6/graphviz) (👨‍💻 24 · 🔀 220 · 📦 94K · 📋 190 - 6% open · ⏱️ 08.10.2025):

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

- [PyPi](https://pypi.org/project/graphviz) (📥 25M / month · 📦 3.2K · ⏱️ 15.06.2025):

pip install graphviz

- [Conda](https://anaconda.org/anaconda/python-graphviz) (📥 58K · ⏱️ 22.04.2025):

conda install -c anaconda python-graphviz

PyVista (🥈38 · ⭐ 3.3K · 📉) - 3D plotting and mesh analysis through a streamlined interface.. MIT

- [GitHub](https://github.com/pyvista/pyvista) (👨‍💻 190 · 🔀 590 · 📥 960 · 📦 5.2K · 📋 2K - 36% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/pyvista) (📥 890K / month · 📦 820 · ⏱️ 26.08.2025):

pip install pyvista

- [Conda](https://anaconda.org/conda-forge/pyvista) (📥 790K · ⏱️ 27.08.2025):

conda install -c conda-forge pyvista

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 · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/holoviews) (📥 920K / month · 📦 470 · ⏱️ 29.09.2025):

pip install holoviews

- [Conda](https://anaconda.org/conda-forge/holoviews) (📥 2.4M · ⏱️ 25.06.2025):

conda install -c conda-forge holoviews

- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (📥 200 / month · 📦 7 · ⏱️ 20.06.2025):

npm install @pyviz/jupyterlab_pyviz

PyQtGraph (🥈37 · ⭐ 4.2K) - Fast data visualization and GUI tools for scientific / engineering.. MIT

- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (👨‍💻 300 · 🔀 1.1K · 📦 13K · 📋 1.4K - 31% open · ⏱️ 02.10.2025):

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

- [PyPi](https://pypi.org/project/pyqtgraph) (📥 640K / month · 📦 1K · ⏱️ 29.04.2024):

pip install pyqtgraph

- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (📥 860K · ⏱️ 22.04.2025):

conda install -c conda-forge pyqtgraph

pyecharts (🥈36 · ⭐ 16K · 💤) - Python Echarts Plotting Library. MIT

- [GitHub](https://github.com/pyecharts/pyecharts) (👨‍💻 45 · 🔀 2.9K · 📥 75 · 📦 5.5K · 📋 1.9K - 0% open · ⏱️ 26.01.2025):

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

- [PyPi](https://pypi.org/project/pyecharts) (📥 380K / month · 📦 220 · ⏱️ 24.01.2025):

pip install pyecharts

plotnine (🥈36 · ⭐ 4.4K) - A Grammar of Graphics for Python. MIT

- [GitHub](https://github.com/has2k1/plotnine) (👨‍💻 110 · 🔀 240 · 📦 13K · 📋 750 - 10% open · ⏱️ 26.09.2025):

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

- [PyPi](https://pypi.org/project/plotnine) (📥 2.3M / month · 📦 400 · ⏱️ 15.07.2025):

pip install plotnine

- [Conda](https://anaconda.org/conda-forge/plotnine) (📥 540K · ⏱️ 15.07.2025):

conda install -c conda-forge plotnine

pandas-profiling (🥈35 · ⭐ 13K · 📉) - 1 Line of code data quality profiling & exploratory.. MIT

- [GitHub](https://github.com/ydataai/ydata-profiling) (👨‍💻 140 · 🔀 1.7K · 📥 470 · 📦 6.9K · 📋 850 - 30% open · ⏱️ 19.09.2025):

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) (📥 580K · ⏱️ 22.04.2025):

conda install -c conda-forge pandas-profiling

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 · ⏱️ 07.10.2025):

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

- [PyPi](https://pypi.org/project/vispy) (📥 230K / month · 📦 200 · ⏱️ 19.05.2025):

pip install vispy

- [Conda](https://anaconda.org/conda-forge/vispy) (📥 960K · ⏱️ 30.08.2025):

conda install -c conda-forge vispy

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

npm install vispy

cartopy (🥈35 · ⭐ 1.5K) - Cartopy - a cartographic python library with matplotlib support. BSD-3

- [GitHub](https://github.com/SciTools/cartopy) (👨‍💻 140 · 🔀 390 · 📦 8.1K · 📋 1.3K - 23% open · ⏱️ 24.09.2025):

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

- [PyPi](https://pypi.org/project/cartopy) (📥 810K / month · 📦 970 · ⏱️ 01.08.2025):

pip install cartopy

- [Conda](https://anaconda.org/conda-forge/cartopy) (📥 5.5M · ⏱️ 03.09.2025):

conda install -c conda-forge cartopy

datashader (🥈34 · ⭐ 3.5K) - Quickly and accurately render even the largest data. BSD-3

- [GitHub](https://github.com/holoviz/datashader) (👨‍💻 63 · 🔀 380 · 📦 6.3K · 📋 620 - 24% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/datashader) (📥 300K / month · 📦 250 · ⏱️ 05.08.2025):

pip install datashader

- [Conda](https://anaconda.org/conda-forge/datashader) (📥 1.6M · ⏱️ 05.08.2025):

conda install -c conda-forge datashader

lets-plot (🥈34 · ⭐ 1.7K) - Multiplatform plotting library based on the Grammar of Graphics. MIT

- [GitHub](https://github.com/JetBrains/lets-plot) (👨‍💻 21 · 🔀 54 · 📥 3.3K · 📦 190 · 📋 730 - 21% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/lets-plot) (📥 130K / month · 📦 16 · ⏱️ 12.09.2025):

pip install lets-plot

wordcloud (🥈33 · ⭐ 10K) - A little word cloud generator in Python. MIT

- [GitHub](https://github.com/amueller/word_cloud) (👨‍💻 75 · 🔀 2.3K · 📦 21 · 📋 560 - 24% open · ⏱️ 31.08.2025):

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

- [PyPi](https://pypi.org/project/wordcloud) (📥 2M / month · 📦 550 · ⏱️ 10.11.2024):

pip install wordcloud

- [Conda](https://anaconda.org/conda-forge/wordcloud) (📥 770K · ⏱️ 03.09.2025):

conda install -c conda-forge wordcloud

Perspective (🥈33 · ⭐ 9.5K · 📉) - A data visualization and analytics component,.. Apache-2

- [GitHub](https://github.com/finos/perspective) (👨‍💻 100 · 🔀 1.2K · 📥 12K · 📦 190 · 📋 900 - 12% open · ⏱️ 07.10.2025):

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

- [PyPi](https://pypi.org/project/perspective-python) (📥 19K / month · 📦 31 · ⏱️ 03.09.2025):

pip install perspective-python

- [Conda](https://anaconda.org/conda-forge/perspective) (📥 2.3M · ⏱️ 26.09.2025):

conda install -c conda-forge perspective

- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (📥 170 / month · 📦 6 · ⏱️ 03.09.2025):

npm install @finos/perspective-jupyterlab

UMAP (🥈32 · ⭐ 8K) - Uniform Manifold Approximation and Projection. BSD-3

- [GitHub](https://github.com/lmcinnes/umap) (👨‍💻 140 · 🔀 850 · 📦 1 · 📋 860 - 59% open · ⏱️ 06.10.2025):

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

- [PyPi](https://pypi.org/project/umap-learn) (📥 2.6M / month · 📦 1.3K · ⏱️ 03.07.2025):

pip install umap-learn

- [Conda](https://anaconda.org/conda-forge/umap-learn) (📥 3.2M · ⏱️ 03.07.2025):

conda install -c conda-forge umap-learn

mpld3 (🥈32 · ⭐ 2.4K) - An interactive data visualization tool which brings matplotlib graphics to.. BSD-3

- [GitHub](https://github.com/mpld3/mpld3) (👨‍💻 54 · 🔀 360 · 📦 7.6K · 📋 370 - 59% open · ⏱️ 27.07.2025):

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

- [PyPi](https://pypi.org/project/mpld3) (📥 470K / month · 📦 160 · ⏱️ 27.07.2025):

pip install mpld3

- [Conda](https://anaconda.org/conda-forge/mpld3) (📥 280K · ⏱️ 28.07.2025):

conda install -c conda-forge mpld3

- [npm](https://www.npmjs.com/package/mpld3) (📥 1.1K / month · 📦 11 · ⏱️ 27.07.2025):

npm install mpld3

hvPlot (🥈32 · ⭐ 1.3K) - A high-level plotting API for pandas, dask, xarray, and networkx built.. BSD-3

- [GitHub](https://github.com/holoviz/hvplot) (👨‍💻 52 · 🔀 110 · 📦 7.3K · 📋 930 - 41% open · ⏱️ 24.09.2025):

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

- [PyPi](https://pypi.org/project/hvplot) (📥 340K / month · 📦 270 · ⏱️ 29.08.2025):

pip install hvplot

- [Conda](https://anaconda.org/conda-forge/hvplot) (📥 850K · ⏱️ 04.09.2025):

conda install -c conda-forge hvplot

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

- [GitHub](https://github.com/bqplot/bqplot) (👨‍💻 66 · 🔀 480 · 📦 62 · 📋 650 - 42% open · ⏱️ 25.08.2025):

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

- [PyPi](https://pypi.org/project/bqplot) (📥 250K / month · 📦 110 · ⏱️ 21.05.2025):

pip install bqplot

- [Conda](https://anaconda.org/conda-forge/bqplot) (📥 1.9M · ⏱️ 02.09.2025):

conda install -c conda-forge bqplot

- [npm](https://www.npmjs.com/package/bqplot) (📥 2.6K / month · 📦 21 · ⏱️ 03.09.2025):

npm install bqplot

D-Tale (🥉29 · ⭐ 5K) - Visualizer for pandas data structures. ❗️LGPL-2.1

- [GitHub](https://github.com/man-group/dtale) (👨‍💻 31 · 🔀 430 · 📦 1.5K · 📋 610 - 10% open · ⏱️ 30.07.2025):

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

- [PyPi](https://pypi.org/project/dtale) (📥 29K / month · 📦 53 · ⏱️ 30.07.2025):

pip install dtale

- [Conda](https://anaconda.org/conda-forge/dtale) (📥 470K · ⏱️ 30.07.2025):

conda install -c conda-forge dtale

HyperTools (🥉27 · ⭐ 1.9K) - A Python toolbox for gaining geometric insights into high-dimensional.. MIT

- [GitHub](https://github.com/ContextLab/hypertools) (👨‍💻 23 · 🔀 160 · 📥 73 · 📦 510 · 📋 200 - 34% open · ⏱️ 10.07.2025):

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

- [PyPi](https://pypi.org/project/hypertools) (📥 2.6K / month · 📦 2 · ⏱️ 09.07.2025):

pip install hypertools

openTSNE (🥉27 · ⭐ 1.6K) - Extensible, parallel implementations of t-SNE. BSD-3

- [GitHub](https://github.com/pavlin-policar/openTSNE) (👨‍💻 13 · 🔀 170 · 📦 1.1K · 📋 140 - 6% open · ⏱️ 12.08.2025):

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

- [PyPi](https://pypi.org/project/opentsne) (📥 72K / month · 📦 47 · ⏱️ 13.08.2024):

pip install opentsne

- [Conda](https://anaconda.org/conda-forge/opentsne) (📥 490K · ⏱️ 22.04.2025):

conda install -c conda-forge opentsne

Plotly-Resampler (🥉27 · ⭐ 1.2K) - Visualize large time series data with plotly.py. MIT

- [GitHub](https://github.com/predict-idlab/plotly-resampler) (👨‍💻 14 · 🔀 73 · 📦 2K · 📋 190 - 33% open · ⏱️ 03.09.2025):

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

- [PyPi](https://pypi.org/project/plotly-resampler) (📥 370K / month · 📦 38 · ⏱️ 29.08.2025):

pip install plotly-resampler

- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (📥 130K · ⏱️ 03.09.2025):

conda install -c conda-forge plotly-resampler

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

- [GitHub](https://github.com/tensorflow/data-validation) (👨‍💻 30 · 🔀 180 · 📥 1K · 📋 190 - 20% open · ⏱️ 23.06.2025):

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

- [PyPi](https://pypi.org/project/tensorflow-data-validation) (📥 150K / 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 · 🔀 340 · 📦 83 · 📋 86 - 62% open · ⏱️ 16.10.2024):

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

- [PyPi](https://pypi.org/project/chartify) (📥 2.6K / month · 📦 9 · ⏱️ 16.10.2024):

pip install chartify

- [Conda](https://anaconda.org/conda-forge/chartify) (📥 40K · ⏱️ 22.04.2025):

conda install -c conda-forge chartify

Popmon (🥉22 · ⭐ 500) - Monitor the stability of a Pandas or Spark dataframe. MIT

- [GitHub](https://github.com/ing-bank/popmon) (👨‍💻 19 · 🔀 36 · 📥 280 · 📦 22 · 📋 57 - 28% open · ⏱️ 04.09.2025):

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

- [PyPi](https://pypi.org/project/popmon) (📥 2.4K / month · 📦 4 · ⏱️ 04.09.2025):

pip install popmon

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) (📥 38K / month · 📦 17 · ⏱️ 25.09.2024):

pip install vega

- [Conda](https://anaconda.org/conda-forge/vega) (📥 910K · ⏱️ 04.10.2025):

conda install -c conda-forge vega

vegafusion (🥉21 · ⭐ 380) - Serverside scaling for Vega and Altair visualizations. BSD-3

- [GitHub](https://github.com/vega/vegafusion) (👨‍💻 6 · 🔀 26 · 📥 6.5K · 📋 150 - 36% open · ⏱️ 29.09.2025):

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

- [PyPi](https://pypi.org/project/vegafusion-jupyter) (📥 900 / month · 📦 2 · ⏱️ 09.05.2024):

pip install vegafusion-jupyter

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

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

- [npm](https://www.npmjs.com/package/vegafusion-jupyter) (📥 13 / month · 📦 3 · ⏱️ 09.05.2024):

npm install vegafusion-jupyter

Show 22 hidden projects...

- missingno (🥉30 · ⭐ 4.1K · 💀) - Missing data visualization module for Python. MIT - Cufflinks (🥉29 · ⭐ 3.1K · 💀) - Productivity Tools for Plotly + Pandas. MIT - Facets Overview (🥉28 · ⭐ 7.4K · 💀) - Visualizations for machine learning datasets. Apache-2 - pythreejs (🥉27 · ⭐ 980 · 💀) - 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 - ridgeplot (🥉26 · ⭐ 240) - Beautiful ridgeline plots in Python. MIT - 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 - Pandas-Bokeh (🥉23 · ⭐ 890 · 💀) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT - pivottablejs (🥉21 · ⭐ 700 · 💀) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT - joypy (🥉21 · ⭐ 600 · 💀) - Joyplots in Python with matplotlib & pandas. MIT - PyWaffle (🥉21 · ⭐ 600 · 💀) - Make Waffle Charts in Python. MIT - PDPbox (🥉20 · ⭐ 860 · 💀) - python partial dependence plot toolbox. MIT - animatplot (🥉19 · ⭐ 410 · 💀) - A python package for animating plots build on matplotlib. MIT - ivis (🥉18 · ⭐ 340 · 💀) - Dimensionality reduction in very large datasets using Siamese.. Apache-2 - pdvega (🥉16 · ⭐ 340 · 💀) - Interactive plotting for Pandas using Vega-Lite. MIT - nx-altair (🥉16 · ⭐ 230 · 💀) - Draw interactive NetworkX graphs with Altair. MIT - data-describe (🥉15 · ⭐ 300 · 💀) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2 - 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) (👨‍💻 3.6K · 🔀 31K · 📦 400K · 📋 19K - 10% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/transformers) (📥 90M / month · 📦 11K · ⏱️ 03.10.2025):

pip install transformers

- [Conda](https://anaconda.org/conda-forge/transformers) (📥 3.3M · ⏱️ 03.10.2025):

conda install -c conda-forge transformers

nltk (🥇47 · ⭐ 14K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2

- [GitHub](https://github.com/nltk/nltk) (👨‍💻 480 · 🔀 2.9K · 📦 410K · 📋 1.9K - 14% open · ⏱️ 06.10.2025):

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

- [PyPi](https://pypi.org/project/nltk) (📥 37M / month · 📦 6.2K · ⏱️ 01.10.2025):

pip install nltk

- [Conda](https://anaconda.org/conda-forge/nltk) (📥 3.4M · ⏱️ 01.10.2025):

conda install -c conda-forge nltk

litellm (🥇45 · ⭐ 30K) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s

- [GitHub](https://github.com/BerriAI/litellm) (👨‍💻 900 · 🔀 4.3K · 📥 660 · 📦 17K · 📋 7.5K - 17% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/litellm) (📥 33M / month · 📦 1.8K · ⏱️ 05.10.2025):

pip install litellm

sentence-transformers (🥇43 · ⭐ 18K) - State-of-the-Art Text Embeddings. Apache-2

- [GitHub](https://github.com/UKPLab/sentence-transformers) (👨‍💻 240 · 🔀 2.7K · 📦 120K · 📋 2.5K - 52% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/sentence-transformers) (📥 17M / month · 📦 3.5K · ⏱️ 22.09.2025):

pip install sentence-transformers

- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (📥 970K · ⏱️ 23.09.2025):

conda install -c conda-forge sentence-transformers

spaCy (🥇42 · ⭐ 33K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT

- [GitHub](https://github.com/explosion/spaCy) (👨‍💻 770 · 🔀 4.5K · 📥 4.7K · 📦 140K · 📋 5.7K - 3% open · ⏱️ 28.05.2025):

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

- [PyPi](https://pypi.org/project/spacy) (📥 15M / month · 📦 3.2K · ⏱️ 23.05.2025):

pip install spacy

- [Conda](https://anaconda.org/conda-forge/spacy) (📥 6.4M · ⏱️ 06.07.2025):

conda install -c conda-forge spacy

sentencepiece (🥇42 · ⭐ 11K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2

- [GitHub](https://github.com/google/sentencepiece) (👨‍💻 100 · 🔀 1.3K · 📥 84K · 📦 120K · 📋 800 - 3% open · ⏱️ 04.10.2025):

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

- [PyPi](https://pypi.org/project/sentencepiece) (📥 29M / month · 📦 2.4K · ⏱️ 12.08.2025):

pip install sentencepiece

- [Conda](https://anaconda.org/conda-forge/sentencepiece) (📥 1.7M · ⏱️ 22.09.2025):

conda install -c conda-forge sentencepiece

gensim (🥇41 · ⭐ 16K) - Topic Modelling for Humans. ❗️LGPL-2.1

- [GitHub](https://github.com/piskvorky/gensim) (👨‍💻 460 · 🔀 4.4K · 📥 6.4K · 📦 78K · 📋 1.9K - 21% open · ⏱️ 02.10.2025):

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

- [PyPi](https://pypi.org/project/gensim) (📥 4.7M / month · 📦 1.4K · ⏱️ 19.07.2024):

pip install gensim

- [Conda](https://anaconda.org/conda-forge/gensim) (📥 1.7M · ⏱️ 22.04.2025):

conda install -c conda-forge gensim

Tokenizers (🥇40 · ⭐ 10K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2

- [GitHub](https://github.com/huggingface/tokenizers) (👨‍💻 120 · 🔀 970 · 📥 86 · 📦 180K · 📋 1.1K - 9% open · ⏱️ 19.09.2025):

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

- [PyPi](https://pypi.org/project/tokenizers) (📥 76M / month · 📦 1.7K · ⏱️ 19.09.2025):

pip install tokenizers

- [Conda](https://anaconda.org/conda-forge/tokenizers) (📥 3.5M · ⏱️ 19.09.2025):

conda install -c conda-forge tokenizers

haystack (🥇38 · ⭐ 23K) - AI orchestration framework to build customizable, production-ready.. Apache-2

- [GitHub](https://github.com/deepset-ai/haystack) (👨‍💻 310 · 🔀 2.4K · 📦 1.3K · 📋 4.1K - 2% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/haystack) (📥 10K / month · 📦 5 · ⏱️ 15.12.2021):

pip install haystack

NeMo (🥇38 · ⭐ 16K · 📉) - A scalable generative AI framework built for researchers and.. Apache-2

- [GitHub](https://github.com/NVIDIA-NeMo/NeMo) (👨‍💻 460 · 🔀 3.1K · 📥 510K · 📦 21 · 📋 2.8K - 4% open · ⏱️ 07.10.2025):

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

- [PyPi](https://pypi.org/project/nemo-toolkit) (📥 720K / month · 📦 18 · ⏱️ 07.10.2025):

pip install nemo-toolkit

flair (🥇37 · ⭐ 14K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT

- [GitHub](https://github.com/flairNLP/flair) (👨‍💻 280 · 🔀 2.1K · 📦 4.1K · 📋 2.4K - 1% open · ⏱️ 12.06.2025):

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

- [PyPi](https://pypi.org/project/flair) (📥 220K / month · 📦 160 · ⏱️ 05.02.2025):

pip install flair

- [Conda](https://anaconda.org/conda-forge/python-flair) (📥 48K · ⏱️ 22.04.2025):

conda install -c conda-forge python-flair

TextBlob (🥇37 · ⭐ 9.4K · 📈) - Simple, Pythonic, text processing--Sentiment analysis, part-of-.. MIT

- [GitHub](https://github.com/sloria/TextBlob) (👨‍💻 37 · 🔀 1.2K · 📥 140 · 📦 60K · 📋 280 - 25% open · ⏱️ 16.09.2025):

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

- [PyPi](https://pypi.org/project/textblob) (📥 1.5M / month · 📦 400 · ⏱️ 13.01.2025):

pip install textblob

- [Conda](https://anaconda.org/conda-forge/textblob) (📥 340K · ⏱️ 22.04.2025):

conda install -c conda-forge textblob

fairseq (🥈36 · ⭐ 32K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT

- [GitHub](https://github.com/facebookresearch/fairseq) (👨‍💻 430 · 🔀 6.6K · 📥 440 · 📦 4.4K · 📋 4.4K - 30% open · ⏱️ 30.09.2025):

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

- [PyPi](https://pypi.org/project/fairseq) (📥 98K / month · 📦 120 · ⏱️ 27.06.2022):

pip install fairseq

- [Conda](https://anaconda.org/conda-forge/fairseq) (📥 160K · ⏱️ 02.10.2025):

conda install -c conda-forge fairseq

stanza (🥈36 · ⭐ 7.6K · 📈) - Stanford NLP Python library for tokenization, sentence.. Apache-2

- [GitHub](https://github.com/stanfordnlp/stanza) (👨‍💻 72 · 🔀 920 · 📦 4.1K · 📋 950 - 10% open · ⏱️ 05.10.2025):

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

- [PyPi](https://pypi.org/project/stanza) (📥 870K / month · 📦 240 · ⏱️ 05.10.2025):

pip install stanza

- [Conda](https://anaconda.org/stanfordnlp/stanza) (📥 8.9K · ⏱️ 25.03.2025):

conda install -c stanfordnlp stanza

qdrant (🥈35 · ⭐ 27K) - Qdrant - High-performance, massive-scale Vector Database and Vector.. Apache-2

- [GitHub](https://github.com/qdrant/qdrant) (👨‍💻 140 · 🔀 1.8K · 📥 500K · 📦 120 · 📋 1.6K - 22% open · ⏱️ 30.09.2025):

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

Opik (🥈35 · ⭐ 15K) - Debug, evaluate, and monitor your LLM applications, RAG systems, and.. Apache-2

- [GitHub](https://github.com/comet-ml/opik) (👨‍💻 76 · 🔀 1.1K · 📦 17 · 📋 490 - 28% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/opik) (📥 610K / month · 📦 33 · ⏱️ 09.10.2025):

pip install opik

ChatterBot (🥈35 · ⭐ 14K) - ChatterBot is a machine learning, conversational dialog engine for.. 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) (📥 20K / month · 📦 19 · ⏱️ 01.07.2025):

pip install chatterbot

spark-nlp (🥈35 · ⭐ 4.1K) - State of the Art Natural Language Processing. Apache-2

- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (👨‍💻 120 · 🔀 730 · 📦 610 · 📋 910 - 2% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/spark-nlp) (📥 1.1M / month · 📦 37 · ⏱️ 09.10.2025):

pip install spark-nlp

Rasa (🥈34 · ⭐ 21K) - Open source machine learning framework to automate text- and voice-.. Apache-2

- [GitHub](https://github.com/RasaHQ/rasa) (👨‍💻 600 · 🔀 4.9K · 📋 6.8K - 2% open · ⏱️ 26.08.2025):

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

- [PyPi](https://pypi.org/project/rasa) (📥 120K / month · 📦 60 · ⏱️ 14.01.2025):

pip install rasa

TensorFlow Text (🥈34 · ⭐ 1.3K) - Making text a first-class citizen in TensorFlow. Apache-2

- [GitHub](https://github.com/tensorflow/text) (👨‍💻 190 · 🔀 360 · 📦 10K · 📋 370 - 53% open · ⏱️ 18.08.2025):

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

- [PyPi](https://pypi.org/project/tensorflow-text) (📥 6.1M / month · 📦 230 · ⏱️ 04.04.2025):

pip install tensorflow-text

snowballstemmer (🥈34 · ⭐ 810) - Snowball compiler and stemming algorithms. BSD-3

- [GitHub](https://github.com/snowballstem/snowball) (👨‍💻 40 · 🔀 190 · 📦 11 · 📋 120 - 17% open · ⏱️ 08.10.2025):

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

- [PyPi](https://pypi.org/project/snowballstemmer) (📥 24M / month · 📦 550 · ⏱️ 09.05.2025):

pip install snowballstemmer

- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (📥 11M · ⏱️ 20.05.2025):

conda install -c conda-forge snowballstemmer

torchtext (🥈32 · ⭐ 3.6K) - Models, data loaders and abstractions for language processing,.. BSD-3

- [GitHub](https://github.com/pytorch/text) (👨‍💻 160 · 🔀 810 · 📋 850 - 38% open · ⏱️ 10.09.2025):

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

- [PyPi](https://pypi.org/project/torchtext) (📥 750K / month · 📦 280 · ⏱️ 24.04.2024):

pip install torchtext

CLTK (🥈32 · ⭐ 870) - The Classical Language Toolkit. MIT

- [GitHub](https://github.com/cltk/cltk) (👨‍💻 120 · 🔀 340 · 📥 160 · 📦 300 · 📋 610 - 5% open · ⏱️ 30.09.2025):

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

- [PyPi](https://pypi.org/project/cltk) (📥 10K / month · 📦 17 · ⏱️ 27.09.2025):

pip install cltk

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) (📥 12K / month · 📦 4 · ⏱️ 12.08.2024):

pip install deeppavlov

ftfy (🥈31 · ⭐ 4K · 💤) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2

- [GitHub](https://github.com/rspeer/python-ftfy) (👨‍💻 22 · 🔀 120 · 📥 99 · 📦 33K · 📋 150 - 7% open · ⏱️ 30.10.2024):

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

- [PyPi](https://pypi.org/project/ftfy) (📥 9.1M / month · 📦 570 · ⏱️ 26.10.2024):

pip install ftfy

- [Conda](https://anaconda.org/conda-forge/ftfy) (📥 370K · ⏱️ 22.04.2025):

conda install -c conda-forge ftfy

jellyfish (🥈31 · ⭐ 2.2K) - 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) (📥 8.6M / month · 📦 300 · ⏱️ 31.03.2025):

pip install jellyfish

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

conda install -c conda-forge jellyfish

SciSpacy (🥈31 · ⭐ 1.9K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2

- [GitHub](https://github.com/allenai/scispacy) (👨‍💻 38 · 🔀 240 · 📦 1.3K · 📋 330 - 11% open · ⏱️ 01.10.2025):

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

- [PyPi](https://pypi.org/project/scispacy) (📥 51K / month · 📦 50 · ⏱️ 01.10.2025):

pip install scispacy

english-words (🥈29 · ⭐ 12K · 💤) - A text file containing 479k English words for all your.. Unlicense

- [GitHub](https://github.com/dwyl/english-words) (👨‍💻 34 · 🔀 2K · 📦 2 · 📋 170 - 75% open · ⏱️ 06.01.2025):

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

- [PyPi](https://pypi.org/project/english-words) (📥 84K / month · 📦 15 · ⏱️ 14.08.2025):

pip install english-words

rubrix (🥈29 · ⭐ 4.7K) - Argilla is a collaboration tool for AI engineers and domain experts.. Apache-2

- [GitHub](https://github.com/argilla-io/argilla) (👨‍💻 110 · 🔀 460 · 📦 3.1K · 📋 2.2K - 0% open · ⏱️ 05.08.2025):

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

- [PyPi](https://pypi.org/project/rubrix) (📥 1.7K / month · ⏱️ 24.10.2022):

pip install rubrix

- [Conda](https://anaconda.org/conda-forge/rubrix) (📥 51K · ⏱️ 22.04.2025):

conda install -c conda-forge rubrix

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

- [GitHub](https://github.com/life4/textdistance) (👨‍💻 18 · 🔀 260 · 📥 1.1K · 📦 8.8K · ⏱️ 18.04.2025):

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

- [PyPi](https://pypi.org/project/textdistance) (📥 1.3M / month · 📦 99 · ⏱️ 16.07.2024):

pip install textdistance

- [Conda](https://anaconda.org/conda-forge/textdistance) (📥 950K · ⏱️ 22.04.2025):

conda install -c conda-forge textdistance

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 · 📥 550 · 📦 2.4K · ⏱️ 26.05.2025):

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

- [PyPi](https://pypi.org/project/spacy-transformers) (📥 290K / month · 📦 110 · ⏱️ 26.05.2025):

pip install spacy-transformers

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

conda install -c conda-forge spacy-transformers

Dedupe (🥉27 · ⭐ 4.4K) - A python library for accurate and scalable fuzzy matching, record.. MIT

- [GitHub](https://github.com/dedupeio/dedupe) (👨‍💻 72 · 🔀 560 · 📦 370 · 📋 820 - 9% open · ⏱️ 29.07.2025):

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

- [PyPi](https://pypi.org/project/dedupe) (📥 53K / month · 📦 19 · ⏱️ 15.08.2024):

pip install dedupe

- [Conda](https://anaconda.org/conda-forge/dedupe) (📥 130K · ⏱️ 22.04.2025):

conda install -c conda-forge dedupe

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) (📥 8.3K / month · 📦 5 · ⏱️ 23.09.2024):

pip install scattertext

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

conda install -c conda-forge scattertext

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 · 📥 1.8M · 📦 970 · 📋 67 - 55% open · ⏱️ 29.07.2025):

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

- [PyPi](https://pypi.org/project/detoxify) (📥 150K / month · 📦 30 · ⏱️ 01.02.2024):

pip install detoxify

T5 (🥉24 · ⭐ 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) (📥 100K / month · 📦 2 · ⏱️ 18.10.2021):

pip install t5

DeepKE (🥉24 · ⭐ 4.1K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. MIT

- [GitHub](https://github.com/zjunlp/DeepKE) (👨‍💻 34 · 🔀 720 · 📦 25 · 📋 620 - 0% open · ⏱️ 19.07.2025):

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

- [PyPi](https://pypi.org/project/deepke) (📥 780 / month · ⏱️ 21.09.2023):

pip install deepke

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

- [GitHub](https://github.com/explosion/sense2vec) (👨‍💻 20 · 🔀 240 · 📥 73K · 📦 470 · 📋 120 - 20% open · ⏱️ 23.04.2025):

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

- [PyPi](https://pypi.org/project/sense2vec) (📥 4.2K / month · 📦 13 · ⏱️ 19.04.2021):

pip install sense2vec

- [Conda](https://anaconda.org/conda-forge/sense2vec) (📥 67K · ⏱️ 22.04.2025):

conda install -c conda-forge sense2vec

happy-transformer (🥉23 · ⭐ 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) (📥 2.7K / month · 📦 5 · ⏱️ 05.08.2023):

pip install happytransformer

finetune (🥉22 · ⭐ 720) - Scikit-learn style model finetuning for NLP. MPL-2.0

- [GitHub](https://github.com/IndicoDataSolutions/finetune) (👨‍💻 24 · 🔀 79 · 📦 16 · 📋 190 - 39% open · ⏱️ 02.10.2025):

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

- [PyPi](https://pypi.org/project/finetune) (📥 3.3K / month · 📦 2 · ⏱️ 29.09.2023):

pip install finetune

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) (📥 780 / month · ⏱️ 03.03.2023):

pip install sockeye

UForm (🥉21 · ⭐ 1.2K) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2

- [GitHub](https://github.com/unum-cloud/uform) (👨‍💻 21 · 🔀 76 · 📥 690 · 📦 36 · 📋 39 - 38% open · ⏱️ 03.09.2025):

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

- [PyPi](https://pypi.org/project/uform) (📥 580 / month · 📦 2 · ⏱️ 03.09.2025):

pip install uform

small-text (🥉21 · ⭐ 630) - Active Learning for Text Classification in Python. MIT

- [GitHub](https://github.com/webis-de/small-text) (👨‍💻 9 · 🔀 77 · 📦 34 · 📋 74 - 28% open · ⏱️ 24.08.2025):

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

- [PyPi](https://pypi.org/project/small-text) (📥 740 / month · ⏱️ 17.08.2025):

pip install small-text

- [Conda](https://anaconda.org/conda-forge/small-text) (📥 18K · ⏱️ 17.08.2025):

conda install -c conda-forge small-text

textaugment (🥉19 · ⭐ 430) - TextAugment: Text Augmentation Library. MIT

- [GitHub](https://github.com/dsfsi/textaugment) (👨‍💻 10 · 🔀 60 · 📥 140 · 📦 180 · 📋 29 - 37% open · ⏱️ 09.09.2025):

git clone https://github.com/dsfsi/textaugment

- [PyPi](https://pypi.org/project/textaugment) (📥 4.5K / month · 📦 4 · ⏱️ 16.11.2023):

pip install textaugment

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) (📥 270 / 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 (🥈33 · ⭐ 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 - underthesea (🥈31 · ⭐ 1.6K) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0 - Sumy (🥈30 · ⭐ 3.6K · 💀) - Module for automatic summarization of text documents and HTML pages. Apache-2 - nlpaug (🥈29 · ⭐ 4.6K · 💀) - Data augmentation for NLP. MIT - vaderSentiment (🥈28 · ⭐ 4.8K · 💀) - 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 - 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 - polyglot (🥉27 · ⭐ 2.4K · 💀) - Multilingual text (NLP) processing 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 - pySBD (🥉26 · ⭐ 880 · 💀) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT - OpenPrompt (🥉25 · ⭐ 4.7K · 💀) - An Open-Source Framework for Prompt-Learning. Apache-2 - promptsource (🥉25 · ⭐ 2.9K · 💀) - Toolkit for creating, sharing and using natural language.. 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 - whoosh (🥉25 · ⭐ 640 · 💀) - Pure-Python full-text search library. ❗️BSD-1-Clause - 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 - 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 - Texar (🥉23 · ⭐ 2.4K · 💀) - Toolkit for Machine Learning, Natural Language Processing, and.. 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 - 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 - 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 - 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 - fast-bert (🥉20 · ⭐ 1.9K · 💀) - Super easy library for BERT based NLP models. Apache-2 - DELTA (🥉20 · ⭐ 1.6K · 💀) - DELTA is a deep learning based natural language and speech.. Apache-2 - DeepMatcher (🥉19 · ⭐ 5.2K · 💀) - Python package for performing Entity and Text Matching using.. BSD-3 - 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 - fastT5 (🥉18 · ⭐ 590 · 💀) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2 - 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 - nboost (🥉17 · ⭐ 680 · 💀) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2 - OpenNRE (🥉16 · ⭐ 4.4K · 💀) - An Open-Source Package for Neural Relation Extraction (NRE). MIT - BLINK (🥉15 · ⭐ 1.2K · 💀) - Entity Linker solution. MIT - TextBox (🥉15 · ⭐ 1.1K · 💀) - TextBox 2.0 is a text generation library with pre-trained language.. MIT - Translate (🥉15 · ⭐ 830 · 💀) - Translate - a PyTorch Language Library. BSD-3 - skift (🥉15 · ⭐ 240 · 💀) - scikit-learn wrappers for Python fastText. MIT - ONNX-T5 (🥉14 · ⭐ 260 · 💀) - 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 - Headliner (🥉13 · ⭐ 230 · 💀) - Easy training and deployment of seq2seq models. MIT - spacy-dbpedia-spotlight (🥉13 · ⭐ 110 · 💀) - A spaCy wrapper for DBpedia Spotlight. MIT spacy - textvec (🥉12 · ⭐ 190 · 💀) - Text vectorization tool to outperform TFIDF for classification.. MIT

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 · ⏱️ 08.10.2025):

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

- [PyPi](https://pypi.org/project/Pillow) (📥 200M / month · 📦 19K · ⏱️ 01.07.2025):

pip install Pillow

- [Conda](https://anaconda.org/conda-forge/pillow) (📥 61M · ⏱️ 18.09.2025):

conda install -c conda-forge pillow

PyTorch Image Models (🥇42 · ⭐ 35K) - The largest collection of PyTorch image encoders /.. Apache-2

- [GitHub](https://github.com/huggingface/pytorch-image-models) (👨‍💻 180 · 🔀 5K · 📥 8.3M · 📦 61K · 📋 1K - 5% open · ⏱️ 06.10.2025):

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

- [PyPi](https://pypi.org/project/timm) (📥 10M / month · 📦 1.4K · ⏱️ 21.09.2025):

pip install timm

- [Conda](https://anaconda.org/conda-forge/timm) (📥 460K · ⏱️ 26.09.2025):

conda install -c conda-forge timm

MoviePy (🥇42 · ⭐ 14K) - Video editing with Python. MIT

- [GitHub](https://github.com/Zulko/moviepy) (👨‍💻 190 · 🔀 1.9K · 📦 66K · 📋 1.7K - 3% open · ⏱️ 25.09.2025):

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

- [PyPi](https://pypi.org/project/moviepy) (📥 4.3M / month · 📦 1.2K · ⏱️ 21.05.2025):

pip install moviepy

- [Conda](https://anaconda.org/conda-forge/moviepy) (📥 350K · ⏱️ 22.04.2025):

conda install -c conda-forge moviepy

torchvision (🥇41 · ⭐ 17K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3

- [GitHub](https://github.com/pytorch/vision) (👨‍💻 660 · 🔀 7.2K · 📥 41K · 📦 21 · 📋 3.8K - 30% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/torchvision) (📥 24M / month · 📦 8.3K · ⏱️ 06.08.2025):

pip install torchvision

- [Conda](https://anaconda.org/conda-forge/torchvision) (📥 3M · ⏱️ 08.10.2025):

conda install -c conda-forge torchvision

deepface (🥇39 · ⭐ 21K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT

- [GitHub](https://github.com/serengil/deepface) (👨‍💻 96 · 🔀 2.8K · 📦 8.4K · 📋 1.2K - 0% open · ⏱️ 26.09.2025):

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

- [PyPi](https://pypi.org/project/deepface) (📥 270K / month · 📦 78 · ⏱️ 05.08.2025):

pip install deepface

Kornia (🥇38 · ⭐ 11K) - Geometric Computer Vision Library for Spatial AI. Apache-2

- [GitHub](https://github.com/kornia/kornia) (👨‍💻 300 · 🔀 1K · 📥 2.2K · 📦 17K · 📋 990 - 30% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/kornia) (📥 2.6M / month · 📦 340 · ⏱️ 08.05.2025):

pip install kornia

- [Conda](https://anaconda.org/conda-forge/kornia) (📥 260K · ⏱️ 08.05.2025):

conda install -c conda-forge kornia

InsightFace (🥈37 · ⭐ 27K) - State-of-the-art 2D and 3D Face Analysis Project. MIT

- [GitHub](https://github.com/deepinsight/insightface) (👨‍💻 67 · 🔀 5.7K · 📥 10M · 📦 4.8K · 📋 2.6K - 46% open · ⏱️ 27.09.2025):

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

- [PyPi](https://pypi.org/project/insightface) (📥 590K / month · 📦 30 · ⏱️ 17.12.2022):

pip install insightface

imageio (🥈37 · ⭐ 1.7K) - Python library for reading and writing image data. BSD-2

- [GitHub](https://github.com/imageio/imageio) (👨‍💻 120 · 🔀 320 · 📥 1.9K · 📦 180K · 📋 620 - 16% open · ⏱️ 14.09.2025):

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

- [PyPi](https://pypi.org/project/imageio) (📥 35M / month · 📦 2.6K · ⏱️ 20.01.2025):

pip install imageio

- [Conda](https://anaconda.org/conda-forge/imageio) (📥 8.4M · ⏱️ 22.04.2025):

conda install -c conda-forge imageio

Albumentations (🥈36 · ⭐ 15K) - Fast and flexible image augmentation library. Paper about.. 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) (📥 5.7M / month · 📦 730 · ⏱️ 27.05.2025):

pip install albumentations

- [Conda](https://anaconda.org/conda-forge/albumentations) (📥 330K · ⏱️ 28.05.2025):

conda install -c conda-forge albumentations

opencv-python (🥈36 · ⭐ 5K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT

- [GitHub](https://github.com/opencv/opencv-python) (👨‍💻 56 · 🔀 940 · 📦 610K · 📋 890 - 19% open · ⏱️ 30.07.2025):

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

- [PyPi](https://pypi.org/project/opencv-python) (📥 28M / month · 📦 14K · ⏱️ 07.07.2025):

pip install opencv-python

Wand (🥈34 · ⭐ 1.5K) - The ctypes-based simple ImageMagick binding for Python. MIT

- [GitHub](https://github.com/emcconville/wand) (👨‍💻 110 · 🔀 200 · 📥 52K · 📦 21K · 📋 440 - 5% open · ⏱️ 06.10.2025):

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

- [PyPi](https://pypi.org/project/wand) (📥 1.9M / month · 📦 260 · ⏱️ 03.11.2023):

pip install wand

- [Conda](https://anaconda.org/conda-forge/wand) (📥 170K · ⏱️ 22.04.2025):

conda install -c conda-forge wand

detectron2 (🥈33 · ⭐ 33K · 📉) - Detectron2 is a platform for object detection,.. Apache-2

- [GitHub](https://github.com/facebookresearch/detectron2) (👨‍💻 280 · 🔀 7.5K · 📦 2.6K · 📋 3.6K - 14% open · ⏱️ 27.08.2025):

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) (📥 800K · ⏱️ 02.06.2025):

conda install -c conda-forge detectron2

ImageHash (🥈32 · ⭐ 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) (📥 4M / month · 📦 270 · ⏱️ 01.02.2025):

pip install ImageHash

- [Conda](https://anaconda.org/conda-forge/imagehash) (📥 500K · ⏱️ 22.04.2025):

conda install -c conda-forge imagehash

lightly (🥈32 · ⭐ 3.6K) - A python library for self-supervised learning on images. MIT

- [GitHub](https://github.com/lightly-ai/lightly) (👨‍💻 72 · 🔀 310 · 📦 500 · 📋 610 - 12% open · ⏱️ 25.09.2025):

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

- [PyPi](https://pypi.org/project/lightly) (📥 200K / month · 📦 20 · ⏱️ 22.07.2025):

pip install lightly

vit-pytorch (🥈31 · ⭐ 24K) - Implementation of Vision Transformer, a simple way to achieve.. MIT

- [GitHub](https://github.com/lucidrains/vit-pytorch) (👨‍💻 24 · 🔀 3.4K · 📦 21 · 📋 290 - 49% open · ⏱️ 25.09.2025):

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

- [PyPi](https://pypi.org/project/vit-pytorch) (📥 36K / month · 📦 28 · ⏱️ 25.09.2025):

pip install vit-pytorch

PaddleSeg (🥈31 · ⭐ 9.2K · 💤) - 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) (📥 5.9K / month · 📦 7 · ⏱️ 30.11.2022):

pip install paddleseg

sahi (🥈31 · ⭐ 4.9K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT

- [GitHub](https://github.com/obss/sahi) (👨‍💻 69 · 🔀 700 · 📥 43K · 📦 1.9K · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/sahi) (📥 150K / month · 📦 43 · ⏱️ 28.09.2025):

pip install sahi

- [Conda](https://anaconda.org/conda-forge/sahi) (📥 120K · ⏱️ 29.09.2025):

conda install -c conda-forge sahi

PaddleDetection (🥈29 · ⭐ 14K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2

- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (👨‍💻 190 · 🔀 3K · 📋 5.7K - 17% open · ⏱️ 16.04.2025):

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

- [PyPi](https://pypi.org/project/paddledet) (📥 5K / month · 📦 2 · ⏱️ 19.09.2022):

pip install paddledet

doctr (🥈29 · ⭐ 5.5K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2

- [GitHub](https://github.com/mindee/doctr) (👨‍💻 68 · 🔀 580 · 📥 6.3M · 📋 440 - 6% open · ⏱️ 07.09.2025):

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

- [PyPi](https://pypi.org/project/python-doctr) (📥 860K / month · 📦 18 · ⏱️ 09.07.2025):

pip install python-doctr

mahotas (🥉28 · ⭐ 880) - Computer Vision in Python. MIT

- [GitHub](https://github.com/luispedro/mahotas) (👨‍💻 35 · 🔀 150 · 📦 1.6K · 📋 92 - 21% open · ⏱️ 05.08.2025):

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

- [PyPi](https://pypi.org/project/mahotas) (📥 60K / month · 📦 63 · ⏱️ 17.07.2024):

pip install mahotas

- [Conda](https://anaconda.org/conda-forge/mahotas) (📥 770K · ⏱️ 22.04.2025):

conda install -c conda-forge mahotas

mtcnn (🥉27 · ⭐ 2.4K · 💤) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT

- [GitHub](https://github.com/ipazc/mtcnn) (👨‍💻 15 · 🔀 530 · 📥 73 · 📦 9.2K · 📋 130 - 37% open · ⏱️ 08.10.2024):

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

- [PyPi](https://pypi.org/project/mtcnn) (📥 250K / month · 📦 73 · ⏱️ 08.10.2024):

pip install mtcnn

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

conda install -c conda-forge mtcnn

CellProfiler (🥉27 · ⭐ 1K) - An open-source application for biological image analysis. BSD-3

- [GitHub](https://github.com/CellProfiler/CellProfiler) (👨‍💻 150 · 🔀 410 · 📥 22K · 📦 28 · 📋 3.4K - 10% open · ⏱️ 24.09.2025):

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

- [PyPi](https://pypi.org/project/cellprofiler) (📥 2.4K / month · 📦 2 · ⏱️ 16.09.2024):

pip install cellprofiler

Image Deduplicator (🥉26 · ⭐ 5.5K) - Finding duplicate images made easy!. Apache-2

- [GitHub](https://github.com/idealo/imagededup) (👨‍💻 19 · 🔀 460 · 📥 29 · 📦 200 · 📋 140 - 25% open · ⏱️ 15.08.2025):

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

- [PyPi](https://pypi.org/project/imagededup) (📥 39K / month · 📦 29 · ⏱️ 15.08.2025):

pip install imagededup

Norfair (🥉26 · ⭐ 2.5K) - Lightweight Python library for adding real-time multi-object tracking.. BSD-3

- [GitHub](https://github.com/tryolabs/norfair) (👨‍💻 32 · 🔀 260 · 📥 360 · 📦 340 · 📋 180 - 16% open · ⏱️ 30.04.2025):

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

- [PyPi](https://pypi.org/project/norfair) (📥 42K / month · 📦 9 · ⏱️ 30.04.2025):

pip install norfair

pyvips (🥉26 · ⭐ 730) - python binding for libvips using cffi. MIT

- [GitHub](https://github.com/libvips/pyvips) (👨‍💻 17 · 🔀 52 · 📦 1.2K · 📋 670 - 29% open · ⏱️ 04.09.2025):

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

- [PyPi](https://pypi.org/project/pyvips) (📥 150K / month · 📦 94 · ⏱️ 28.04.2025):

pip install pyvips

- [Conda](https://anaconda.org/conda-forge/pyvips) (📥 250K · ⏱️ 04.09.2025):

conda install -c conda-forge pyvips

pytorchvideo (🥉25 · ⭐ 3.5K · 💤) - A deep learning library for video understanding.. Apache-2

- [GitHub](https://github.com/facebookresearch/pytorchvideo) (👨‍💻 58 · 🔀 420 · 📋 210 - 50% open · ⏱️ 25.01.2025):

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

- [PyPi](https://pypi.org/project/pytorchvideo) (📥 56K / 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) (📥 60K / month · 📦 11 · ⏱️ 03.12.2021):

pip install tensorflow-graphics

MMF (🥉24 · ⭐ 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) (📥 340 / month · 📦 1 · ⏱️ 12.06.2020):

pip install mmf

kubric (🥉22 · ⭐ 2.6K) - 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) (📥 5.3K / month · ⏱️ 27.12.2023):

pip install kubric-nightly

icevision (🥉22 · ⭐ 870 · 💤) - 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) (📥 4.6K / month · 📦 6 · ⏱️ 10.02.2022):

pip install icevision

PySlowFast (🥉21 · ⭐ 7.1K · 💤) - PySlowFast: video understanding codebase from FAIR for.. Apache-2

- [GitHub](https://github.com/facebookresearch/SlowFast) (👨‍💻 34 · 🔀 1.2K · 📦 23 · 📋 720 - 59% open · ⏱️ 26.11.2024):

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

- [PyPi](https://pypi.org/project/pyslowfast) (📥 56 / month · ⏱️ 15.01.2020):

pip install pyslowfast

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) (📥 5.2K / month · 📦 5 · ⏱️ 08.01.2020):

pip install ISR

- [Docker Hub](https://hub.docker.com/r/idealo/image-super-resolution-gpu) (📥 290 · ⭐ 1 · ⏱️ 01.04.2019):

docker pull idealo/image-super-resolution-gpu

Caer (🥉21 · ⭐ 800) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT

- [GitHub](https://github.com/jasmcaus/caer) (👨‍💻 8 · 🔀 110 · 📥 48 · ⏱️ 11.08.2025):

git clone https://github.com/jasmcaus/caer

- [PyPi](https://pypi.org/project/caer) (📥 4.8K / month · 📦 3 · ⏱️ 11.08.2025):

pip install caer

scenic (🥉16 · ⭐ 3.7K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2

- [GitHub](https://github.com/google-research/scenic) (👨‍💻 95 · 🔀 460 · 📋 400 - 70% open · ⏱️ 06.08.2025):

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

Show 30 hidden projects...

- scikit-image (🥇41 · ⭐ 6.4K) - Image processing in Python. ❗Unlicensed - glfw (🥇38 · ⭐ 14K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib - MMDetection (🥈37 · ⭐ 32K · 💀) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 - imgaug (🥈36 · ⭐ 15K · 💀) - Image augmentation for machine learning experiments. MIT - Face Recognition (🥈35 · ⭐ 56K · 💀) - The worlds simplest facial recognition api for Python.. MIT - PyTorch3D (🥈32 · ⭐ 9.5K) - PyTorch3D is FAIRs library of reusable components for.. ❗Unlicensed - imutils (🥈31 · ⭐ 4.6K · 💀) - A series of convenience functions to make basic image processing.. MIT - imageai (🥈30 · ⭐ 8.8K · 💀) - A python library built to empower developers to build applications.. MIT - Face Alignment (🥉28 · ⭐ 7.4K · 💀) - 2D and 3D Face alignment library build using pytorch. BSD-3 - GluonCV (🥉28 · ⭐ 5.9K · 💀) - Gluon CV Toolkit. Apache-2 - Augmentor (🥉27 · ⭐ 5.1K · 💀) - Image augmentation library in Python for machine learning. MIT - vidgear (🥉27 · ⭐ 3.6K · 💀) - A High-performance cross-platform Video Processing Python.. Apache-2 - chainercv (🥉27 · ⭐ 1.5K · 💀) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT - facenet-pytorch (🥉26 · ⭐ 5K · 💀) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT - Pillow-SIMD (🥉25 · ⭐ 2.2K · 💀) - The friendly PIL fork. ❗️PIL - layout-parser (🥉24 · ⭐ 5.5K · 💀) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2 - segmentation_models (🥉24 · ⭐ 4.9K · 💀) - Segmentation models with pretrained backbones. Keras.. MIT - ffcv (🥉24 · ⭐ 3K · 💀) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2 - vissl (🥉23 · ⭐ 3.3K · 💀) - VISSL is FAIRs library of extensible, modular and scalable.. MIT - Luminoth (🥉23 · ⭐ 2.4K · 💀) - Deep Learning toolkit for Computer Vision. BSD-3 - deep-daze (🥉22 · ⭐ 4.3K · 💀) - Simple command line tool for text to image generation using.. MIT - Classy Vision (🥉22 · ⭐ 1.6K · 💀) - An end-to-end PyTorch framework for image and video.. MIT - detecto (🥉21 · ⭐ 620 · 💀) - Build fully-functioning computer vision models with PyTorch. MIT - DE⫶TR (🥉20 · ⭐ 15K · 💀) - End-to-End Object Detection with Transformers. Apache-2 - image-match (🥉20 · ⭐ 3K · 💀) - Quickly search over billions of images. Apache-2 - solt (🥉20 · ⭐ 260) - Streaming over lightweight data transformations. MIT - pycls (🥉18 · ⭐ 2.2K · 💀) - Codebase for Image Classification Research, written in PyTorch. MIT - nude.py (🥉17 · ⭐ 920 · 💀) - Nudity detection with Python. MIT - Torch Points 3D (🥉17 · ⭐ 260 · 💀) - 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 (🥇46 · ⭐ 16K) - Network Analysis in Python. BSD-3

- [GitHub](https://github.com/networkx/networkx) (👨‍💻 790 · 🔀 3.4K · 📥 110 · 📦 430K · 📋 3.5K - 11% open · ⏱️ 06.10.2025):

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

- [PyPi](https://pypi.org/project/networkx) (📥 120M / month · 📦 12K · ⏱️ 29.05.2025):

pip install networkx

- [Conda](https://anaconda.org/conda-forge/networkx) (📥 25M · ⏱️ 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) (👨‍💻 560 · 🔀 3.9K · 📦 10K · 📋 4K - 30% open · ⏱️ 08.10.2025):

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

- [PyPi](https://pypi.org/project/torch-geometric) (📥 950K / month · 📦 360 · ⏱️ 26.09.2024):

pip install torch-geometric

- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (📥 180K · ⏱️ 22.04.2025):

conda install -c conda-forge pytorch_geometric

dgl (🥇35 · ⭐ 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 · 📋 3K - 20% open · ⏱️ 31.07.2025):

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

- [PyPi](https://pypi.org/project/dgl) (📥 210K / month · 📦 150 · ⏱️ 13.05.2024):

pip install dgl

pytorch_geometric_temporal (🥈29 · ⭐ 2.9K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT

- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (👨‍💻 39 · 🔀 400 · 📋 210 - 18% open · ⏱️ 18.09.2025):

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

- [PyPi](https://pypi.org/project/torch-geometric-temporal) (📥 8.6K / month · 📦 12 · ⏱️ 16.07.2025):

pip install torch-geometric-temporal

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

- [GitHub](https://github.com/graphistry/pygraphistry) (👨‍💻 48 · 🔀 220 · 📋 380 - 53% open · ⏱️ 08.10.2025):

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

- [PyPi](https://pypi.org/project/graphistry) (📥 9.3K / month · 📦 9 · ⏱️ 08.10.2025):

pip install graphistry

ogb (🥈29 · ⭐ 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) (📥 110K / month · 📦 73 · ⏱️ 07.04.2023):

pip install ogb

- [Conda](https://anaconda.org/conda-forge/ogb) (📥 62K · ⏱️ 22.04.2025):

conda install -c conda-forge ogb

PyKEEN (🥈27 · ⭐ 1.9K) - A Python library for learning and evaluating knowledge graph embeddings. MIT

- [GitHub](https://github.com/pykeen/pykeen) (👨‍💻 43 · 🔀 200 · 📥 240 · 📦 350 · 📋 590 - 19% open · ⏱️ 18.07.2025):

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

- [PyPi](https://pypi.org/project/pykeen) (📥 44K / month · 📦 21 · ⏱️ 24.04.2025):

pip install pykeen

torch-cluster (🥈24 · ⭐ 890) - PyTorch Extension Library of Optimized Graph Cluster.. MIT

- [GitHub](https://github.com/rusty1s/pytorch_cluster) (👨‍💻 40 · 🔀 150 · 📋 190 - 16% open · ⏱️ 12.08.2025):

git clone https://github.com/rusty1s/pytorch_cluster

- [PyPi](https://pypi.org/project/torch-cluster) (📥 46K / month · 📦 62 · ⏱️ 12.10.2023):

pip install torch-cluster

- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (📥 430K · ⏱️ 22.09.2025):

conda install -c conda-forge pytorch_cluster

Show 28 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 - Node2Vec (🥈25 · ⭐ 1.3K · 💀) - Implementation of the node2vec algorithm. MIT - Karate Club (🥈24 · ⭐ 2.3K · 💀) - 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 - graph-nets (🥉22 · ⭐ 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 - jraph (🥉21 · ⭐ 1.4K · 💀) - A Graph Neural Network Library in Jax. Apache-2 - deepsnap (🥉21 · ⭐ 560 · 💀) - Python library assists deep learning on graphs. 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 - pyRDF2Vec (🥉20 · ⭐ 260 · 💀) - Python Implementation and Extension of RDF2Vec. MIT - Sematch (🥉18 · ⭐ 440 · 💀) - semantic similarity framework for knowledge graph. Apache-2 - GraphGym (🥉17 · ⭐ 1.8K · 💀) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT - DeepGraph (🥉17 · ⭐ 310) - Analyze Data with Pandas-based Networks. Documentation:. ❗Unlicensed - 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 (🥉16 · ⭐ 380 · 💀) - A PyTorch Graph Neural Network Library. MIT - 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 · ⭐ 3.6K · 💀) - 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 - 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 (🥇38 · ⭐ 11K) - A PyTorch-based Speech Toolkit. Apache-2

- [GitHub](https://github.com/speechbrain/speechbrain) (👨‍💻 260 · 🔀 1.5K · 📦 3.9K · 📋 1.2K - 12% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/speechbrain) (📥 1.4M / month · 📦 79 · ⏱️ 07.04.2025):

pip install speechbrain

espnet (🥇38 · ⭐ 9.5K) - End-to-End Speech Processing Toolkit. Apache-2

- [GitHub](https://github.com/espnet/espnet) (👨‍💻 520 · 🔀 2.3K · 📥 84 · 📦 480 · 📋 2.5K - 3% open · ⏱️ 08.10.2025):

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

- [PyPi](https://pypi.org/project/espnet) (📥 30K / month · 📦 19 · ⏱️ 13.09.2025):

pip install espnet

torchaudio (🥇37 · ⭐ 2.7K) - Data manipulation and transformation for audio signal.. BSD-2

- [GitHub](https://github.com/pytorch/audio) (👨‍💻 240 · 🔀 710 · 📋 1.1K - 30% open · ⏱️ 13.09.2025):

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

- [PyPi](https://pypi.org/project/torchaudio) (📥 12M / month · 📦 2.2K · ⏱️ 06.08.2025):

pip install torchaudio

SpeechRecognition (🥈34 · ⭐ 8.9K) - Speech recognition module for Python, supporting several.. BSD-3

- [GitHub](https://github.com/Uberi/speech_recognition) (👨‍💻 55 · 🔀 2.4K · 📦 21 · 📋 670 - 48% open · ⏱️ 14.09.2025):

git clone https://github.com/Uberi/speech_recognition

- [PyPi](https://pypi.org/project/SpeechRecognition) (📥 2.4M / month · 📦 730 · ⏱️ 12.05.2025):

pip install SpeechRecognition

- [Conda](https://anaconda.org/conda-forge/speechrecognition) (📥 350K · ⏱️ 12.05.2025):

conda install -c conda-forge speechrecognition

librosa (🥈34 · ⭐ 7.9K) - Python library for audio and music analysis. ISC

- [GitHub](https://github.com/librosa/librosa) (👨‍💻 130 · 🔀 1K · 📋 1.3K - 5% open · ⏱️ 19.05.2025):

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

- [PyPi](https://pypi.org/project/librosa) (📥 5.7M / month · 📦 1.6K · ⏱️ 11.03.2025):

pip install librosa

- [Conda](https://anaconda.org/conda-forge/librosa) (📥 1.1M · ⏱️ 22.04.2025):

conda install -c conda-forge librosa

DeepSpeech (🥈33 · ⭐ 27K) - DeepSpeech is an open source embedded (offline, on-device).. MPL-2.0

- [GitHub](https://github.com/mozilla/DeepSpeech) (👨‍💻 160 · 🔀 4.1K · 📥 650K · 📦 540 · 📋 2.1K - 7% open · ⏱️ 19.06.2025):

git clone https://github.com/mozilla/DeepSpeech

- [PyPi](https://pypi.org/project/deepspeech) (📥 5.8K / month · 📦 24 · ⏱️ 19.12.2020):

pip install deepspeech

- [Conda](https://anaconda.org/conda-forge/deepspeech) (📥 4.1K · ⏱️ 22.04.2025):

conda install -c conda-forge deepspeech

spleeter (🥈32 · ⭐ 27K) - Deezer source separation library including pretrained models. MIT

- [GitHub](https://github.com/deezer/spleeter) (👨‍💻 22 · 🔀 3K · 📥 4.3M · 📦 1.1K · 📋 830 - 32% open · ⏱️ 02.04.2025):

git clone https://github.com/deezer/spleeter

- [PyPi](https://pypi.org/project/spleeter) (📥 28K / month · 📦 18 · ⏱️ 03.04.2025):

pip install spleeter

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

conda install -c conda-forge spleeter

audiomentations (🥈32 · ⭐ 2.1K) - A Python library for audio data augmentation. Useful for.. MIT

- [GitHub](https://github.com/iver56/audiomentations) (👨‍💻 34 · 🔀 200 · 📦 840 · 📋 210 - 26% open · ⏱️ 26.09.2025):

git clone https://github.com/iver56/audiomentations

- [PyPi](https://pypi.org/project/audiomentations) (📥 120K / month · 📦 38 · ⏱️ 13.09.2025):

pip install audiomentations

Coqui TTS (🥈32 · ⭐ 1.9K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0

- [GitHub](https://github.com/idiap/coqui-ai-TTS) (👨‍💻 200 · 🔀 230 · 📥 3.7K · 📦 750 · 📋 160 - 15% open · ⏱️ 29.09.2025):

git clone https://github.com/idiap/coqui-ai-TTS

- [PyPi](https://pypi.org/project/coqui-tts) (📥 86K / month · 📦 34 · ⏱️ 25.09.2025):

pip install coqui-tts

Magenta (🥈31 · ⭐ 20K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2

- [GitHub](https://github.com/magenta/magenta) (👨‍💻 160 · 🔀 3.7K · 📦 600 · 📋 1K - 41% open · ⏱️ 08.07.2025):

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

- [PyPi](https://pypi.org/project/magenta) (📥 6.5K / month · 📦 5 · ⏱️ 01.08.2022):

pip install magenta

audioread (🥈31 · ⭐ 520) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.. MIT

- [GitHub](https://github.com/beetbox/audioread) (👨‍💻 25 · 🔀 110 · 📦 35K · 📋 94 - 39% open · ⏱️ 27.09.2025):

git clone https://github.com/beetbox/audioread

- [PyPi](https://pypi.org/project/audioread) (📥 4.7M / month · 📦 140 · ⏱️ 27.09.2023):

pip install audioread

- [Conda](https://anaconda.org/conda-forge/audioread) (📥 1.1M · ⏱️ 02.10.2025):

conda install -c conda-forge audioread

Porcupine (🥉29 · ⭐ 4.4K) - On-device wake word detection powered by deep learning. Apache-2

- [GitHub](https://github.com/Picovoice/porcupine) (👨‍💻 43 · 🔀 540 · 📦 51 · 📋 600 - 0% open · ⏱️ 11.09.2025):

git clone https://github.com/Picovoice/Porcupine

- [PyPi](https://pypi.org/project/pvporcupine) (📥 32K / month · 📦 38 · ⏱️ 05.02.2025):

pip install pvporcupine

pyAudioAnalysis (🥉28 · ⭐ 6.1K) - Python Audio Analysis Library: Feature Extraction,.. Apache-2

- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (👨‍💻 28 · 🔀 1.2K · 📦 670 · 📋 320 - 62% open · ⏱️ 04.08.2025):

git clone https://github.com/tyiannak/pyAudioAnalysis

- [PyPi](https://pypi.org/project/pyAudioAnalysis) (📥 16K / month · 📦 12 · ⏱️ 07.02.2022):

pip install pyAudioAnalysis

tinytag (🥉28 · ⭐ 780) - Python library for reading audio file metadata. MIT

- [GitHub](https://github.com/tinytag/tinytag) (👨‍💻 27 · 🔀 100 · 📦 1.3K · 📋 120 - 4% open · ⏱️ 13.08.2025):

git clone https://github.com/devsnd/tinytag

- [PyPi](https://pypi.org/project/tinytag) (📥 120K / month · 📦 130 · ⏱️ 13.08.2025):

pip install tinytag

python-soundfile (🥉27 · ⭐ 790) - 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) (📥 9.4M / month · 📦 1.1K · ⏱️ 25.01.2025):

pip install soundfile

- [Conda](https://anaconda.org/anaconda/pysoundfile):

conda install -c anaconda pysoundfile

nnAudio (🥉23 · ⭐ 1.1K) - Audio processing by using pytorch 1D convolution network. MIT

- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (👨‍💻 16 · 🔀 96 · 📦 410 · 📋 65 - 30% open · ⏱️ 16.05.2025):

git clone https://github.com/KinWaiCheuk/nnAudio

- [PyPi](https://pypi.org/project/nnAudio) (📥 88K / month · 📦 4 · ⏱️ 13.02.2024):

pip install nnAudio

Julius (🥉21 · ⭐ 450 · 💤) - Fast PyTorch based DSP for audio and 1D signals. MIT

- [GitHub](https://github.com/adefossez/julius) (👨‍💻 3 · 🔀 26 · 📋 12 - 16% open · ⏱️ 17.02.2025):

git clone https://github.com/adefossez/julius

- [PyPi](https://pypi.org/project/julius) (📥 820K / month · 📦 44 · ⏱️ 20.09.2022):

pip install julius

Show 12 hidden projects...

- Pydub (🥈36 · ⭐ 9.6K · 💀) - Manipulate audio with a simple and easy high level interface. MIT - Essentia (🥉28 · ⭐ 3.2K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 - Madmom (🥉28 · ⭐ 1.5K · 💀) - Python audio and music signal processing library. BSD-3 - aubio (🥉27 · ⭐ 3.5K) - a library for audio and music analysis. ❗️GPL-3.0 - TTS (🥉26 · ⭐ 10K · 💀) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 - python_speech_features (🥉26 · ⭐ 2.4K · 💀) - This library provides common speech features for ASR.. MIT - DDSP (🥉25 · ⭐ 3.1K · 💀) - DDSP: Differentiable Digital Signal Processing. Apache-2 - Dejavu (🥉23 · ⭐ 6.7K · 💀) - Audio fingerprinting and recognition in Python. MIT - kapre (🥉23 · ⭐ 930 · 💀) - kapre: Keras Audio Preprocessors. MIT - TimeSide (🥉21 · ⭐ 390 · 💤) - scalable audio processing framework and server written in.. ❗️AGPL-3.0 - Muda (🥉18 · ⭐ 240 · 💀) - A library for augmenting annotated audio data. ISC - textlesslib (🥉10 · ⭐ 550 · 💀) - 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 · ⭐ 14K) - WebGL2 powered visualization framework. MIT

- [GitHub](https://github.com/visgl/deck.gl) (👨‍💻 300 · 🔀 2.2K · 📦 9.2K · 📋 3.2K - 13% open · ⏱️ 08.10.2025):

git clone https://github.com/visgl/deck.gl

- [PyPi](https://pypi.org/project/pydeck) (📥 15M / month · 📦 160 · ⏱️ 21.03.2025):

pip install pydeck

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

conda install -c conda-forge pydeck

- [npm](https://www.npmjs.com/package/deck.gl) (📥 640K / month · 📦 360 · ⏱️ 08.10.2025):

npm install deck.gl

folium (🥇40 · ⭐ 7.2K) - Python Data. Leaflet.js Maps. MIT

- [GitHub](https://github.com/python-visualization/folium) (👨‍💻 180 · 🔀 2.2K · 📦 64K · 📋 1.2K - 6% open · ⏱️ 06.10.2025):

git clone https://github.com/python-visualization/folium

- [PyPi](https://pypi.org/project/folium) (📥 2.8M / month · 📦 1K · ⏱️ 16.06.2025):

pip install folium

- [Conda](https://anaconda.org/conda-forge/folium) (📥 4.4M · ⏱️ 16.06.2025):

conda install -c conda-forge folium

Shapely (🥇40 · ⭐ 4.3K) - Manipulation and analysis of geometric objects. BSD-3

- [GitHub](https://github.com/shapely/shapely) (👨‍💻 170 · 🔀 600 · 📥 4K · 📦 110K · 📋 1.3K - 18% open · ⏱️ 07.10.2025):

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

- [PyPi](https://pypi.org/project/shapely) (📥 59M / month · 📦 4.7K · ⏱️ 24.09.2025):

pip install shapely

- [Conda](https://anaconda.org/conda-forge/shapely) (📥 14M · ⏱️ 24.09.2025):

conda install -c conda-forge shapely

GeoPandas (🥈39 · ⭐ 4.9K) - Python tools for geographic data. BSD-3

- [GitHub](https://github.com/geopandas/geopandas) (👨‍💻 250 · 🔀 980 · 📥 3.1K · 📦 60K · 📋 1.8K - 24% open · ⏱️ 08.10.2025):

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

- [PyPi](https://pypi.org/project/geopandas) (📥 11M / month · 📦 3.8K · ⏱️ 26.06.2025):

pip install geopandas

- [Conda](https://anaconda.org/conda-forge/geopandas) (📥 5.3M · ⏱️ 06.10.2025):

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 · 📦 19K · 📋 1.9K - 8% open · ⏱️ 26.09.2025):

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

- [PyPi](https://pypi.org/project/rasterio) (📥 2.7M / month · 📦 1.5K · ⏱️ 02.12.2024):

pip install rasterio

- [Conda](https://anaconda.org/conda-forge/rasterio) (📥 5.2M · ⏱️ 17.09.2025):

conda install -c conda-forge rasterio

pyproj (🥈37 · ⭐ 1.2K) - Python interface to PROJ (cartographic projections and coordinate.. MIT

- [GitHub](https://github.com/pyproj4/pyproj) (👨‍💻 72 · 🔀 220 · 📦 47K · 📋 660 - 6% open · ⏱️ 02.10.2025):

git clone https://github.com/pyproj4/pyproj

- [PyPi](https://pypi.org/project/pyproj) (📥 14M / month · 📦 2.3K · ⏱️ 14.08.2025):

pip install pyproj

- [Conda](https://anaconda.org/conda-forge/pyproj) (📥 11M · ⏱️ 15.09.2025):

conda install -c conda-forge pyproj

ArcGIS API (🥈34 · ⭐ 2.1K · 📉) - Documentation and samples for ArcGIS API for Python. Apache-2

- [GitHub](https://github.com/Esri/arcgis-python-api) (👨‍💻 98 · 🔀 1.1K · 📥 16K · 📦 1K · 📋 920 - 8% open · ⏱️ 29.09.2025):

git clone https://github.com/Esri/arcgis-python-api

- [PyPi](https://pypi.org/project/arcgis) (📥 170K / month · 📦 42 · ⏱️ 12.08.2025):

pip install arcgis

- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook):

docker pull esridocker/arcgis-api-python-notebook

Fiona (🥈34 · ⭐ 1.2K · 💤) - Fiona reads and writes geographic data files. BSD-3

- [GitHub](https://github.com/Toblerity/Fiona) (👨‍💻 78 · 🔀 210 · 📦 27K · 📋 820 - 5% open · ⏱️ 20.02.2025):

git clone https://github.com/Toblerity/Fiona

- [PyPi](https://pypi.org/project/fiona) (📥 5.7M / month · 📦 380 · ⏱️ 16.09.2024):

pip install fiona

- [Conda](https://anaconda.org/conda-forge/fiona) (📥 7.7M · ⏱️ 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) (👨‍💻 94 · 🔀 360 · 📦 18K · 📋 660 - 44% open · ⏱️ 19.06.2025):

git clone https://github.com/jupyter-widgets/ipyleaflet

- [PyPi](https://pypi.org/project/ipyleaflet) (📥 270K / month · 📦 340 · ⏱️ 13.06.2025):

pip install ipyleaflet

- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (📥 1.7M · ⏱️ 13.06.2025):

conda install -c conda-forge ipyleaflet

- [npm](https://www.npmjs.com/package/jupyter-leaflet) (📥 2.3K / month · 📦 9 · ⏱️ 13.06.2025):

npm install jupyter-leaflet

PySAL (🥉31 · ⭐ 1.4K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3

- [GitHub](https://github.com/pysal/pysal) (👨‍💻 79 · 🔀 310 · 📦 1.8K · 📋 660 - 3% open · ⏱️ 08.09.2025):

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

- [PyPi](https://pypi.org/project/pysal) (📥 56K / month · 📦 65 · ⏱️ 31.07.2025):

pip install pysal

- [Conda](https://anaconda.org/conda-forge/pysal) (📥 720K · ⏱️ 01.08.2025):

conda install -c conda-forge pysal

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) (📥 3.6M / month · 📦 720 · ⏱️ 21.12.2024):

pip install geojson

- [Conda](https://anaconda.org/conda-forge/geojson) (📥 1.1M · ⏱️ 22.04.2025):

conda install -c conda-forge geojson

EarthPy (🥉28 · ⭐ 530) - A package built to support working with spatial data using open source.. BSD-3

- [GitHub](https://github.com/earthlab/earthpy) (👨‍💻 44 · 🔀 160 · 📥 75 · 📦 440 · 📋 250 - 16% open · ⏱️ 31.07.2025):

git clone https://github.com/earthlab/earthpy

- [PyPi](https://pypi.org/project/earthpy) (📥 28K / month · 📦 17 · ⏱️ 01.10.2021):

pip install earthpy

- [Conda](https://anaconda.org/conda-forge/earthpy) (📥 98K · ⏱️ 22.04.2025):

conda install -c conda-forge earthpy

GeoViews (🥉27 · ⭐ 620) - Simple, concise geographical visualization in Python. BSD-3

- [GitHub](https://github.com/holoviz/geoviews) (👨‍💻 33 · 🔀 79 · 📦 5 · 📋 360 - 31% open · ⏱️ 03.10.2025):

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

- [PyPi](https://pypi.org/project/geoviews) (📥 76K / month · 📦 76 · ⏱️ 14.08.2025):

pip install geoviews

- [Conda](https://anaconda.org/conda-forge/geoviews) (📥 340K · ⏱️ 14.08.2025):

conda install -c conda-forge geoviews

pymap3d (🥉25 · ⭐ 430) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. BSD-2

- [GitHub](https://github.com/geospace-code/pymap3d) (👨‍💻 19 · 🔀 87 · 📦 530 · 📋 59 - 8% open · ⏱️ 08.07.2025):

git clone https://github.com/geospace-code/pymap3d

- [PyPi](https://pypi.org/project/pymap3d) (📥 510K / month · 📦 50 · ⏱️ 08.07.2025):

pip install pymap3d

- [Conda](https://anaconda.org/conda-forge/pymap3d) (📥 120K · ⏱️ 08.07.2025):

conda install -c conda-forge pymap3d

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) (📥 11K / 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 - Sentinelsat (🥉26 · ⭐ 1K · 💀) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 - prettymaps (🥉24 · ⭐ 12K) - Draw pretty maps from OpenStreetMap data! Built with osmnx.. ❗️AGPL-3.0 - gmaps (🥉22 · ⭐ 760 · 💀) - Google maps for Jupyter notebooks. BSD-3 - geoplotlib (🥉21 · ⭐ 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 (🥇42 · ⭐ 19K) - Download market data from Yahoo! Finances API. Apache-2

- [GitHub](https://github.com/ranaroussi/yfinance) (👨‍💻 140 · 🔀 2.8K · 📦 86K · 📋 1.7K - 9% open · ⏱️ 18.09.2025):

git clone https://github.com/ranaroussi/yfinance

- [PyPi](https://pypi.org/project/yfinance) (📥 5.6M / month · 📦 1.2K · ⏱️ 17.09.2025):

pip install yfinance

- [Conda](https://anaconda.org/ranaroussi/yfinance) (📥 99K · ⏱️ 25.03.2025):

conda install -c ranaroussi yfinance

Qlib (🥇32 · ⭐ 32K) - Qlib is an AI-oriented Quant investment platform that aims to use AI tech.. MIT

- [GitHub](https://github.com/microsoft/qlib) (👨‍💻 140 · 🔀 4.9K · 📥 910 · 📦 21 · 📋 1K - 28% open · ⏱️ 15.09.2025):

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

- [PyPi](https://pypi.org/project/pyqlib) (📥 17K / month · 📦 3 · ⏱️ 15.08.2025):

pip install pyqlib

bt (🥈29 · ⭐ 2.7K) - bt - flexible backtesting for Python. MIT

- [GitHub](https://github.com/pmorissette/bt) (👨‍💻 35 · 🔀 450 · 📦 1.7K · 📋 350 - 23% open · ⏱️ 02.10.2025):

git clone https://github.com/pmorissette/bt

- [PyPi](https://pypi.org/project/bt) (📥 13K / month · 📦 15 · ⏱️ 12.04.2025):

pip install bt

- [Conda](https://anaconda.org/conda-forge/bt) (📥 100K · ⏱️ 02.10.2025):

conda install -c conda-forge bt

ffn (🥈27 · ⭐ 2.4K) - ffn - a financial function library for Python. MIT

- [GitHub](https://github.com/pmorissette/ffn) (👨‍💻 36 · 🔀 330 · 📦 580 · 📋 140 - 17% open · ⏱️ 02.10.2025):

git clone https://github.com/pmorissette/ffn

- [PyPi](https://pypi.org/project/ffn) (📥 32K / month · 📦 22 · ⏱️ 11.02.2025):

pip install ffn

- [Conda](https://anaconda.org/conda-forge/ffn) (📥 25K · ⏱️ 22.04.2025):

conda install -c conda-forge ffn

Alpha Vantage (🥉26 · ⭐ 4.6K) - A python wrapper for Alpha Vantage API for financial data. MIT

- [GitHub](https://github.com/RomelTorres/alpha_vantage) (👨‍💻 44 · 🔀 760 · 📋 290 - 0% open · ⏱️ 27.07.2025):

git clone https://github.com/RomelTorres/alpha_vantage

- [PyPi](https://pypi.org/project/alpha_vantage) (📥 150K / month · 📦 35 · ⏱️ 18.07.2024):

pip install alpha_vantage

- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (📥 10K · ⏱️ 22.04.2025):

conda install -c conda-forge alpha_vantage

stockstats (🥉26 · ⭐ 1.4K) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3

- [GitHub](https://github.com/jealous/stockstats) (👨‍💻 10 · 🔀 310 · 📦 1.3K · 📋 130 - 10% open · ⏱️ 18.05.2025):

git clone https://github.com/jealous/stockstats

- [PyPi](https://pypi.org/project/stockstats) (📥 55K / month · 📦 14 · ⏱️ 18.05.2025):

pip install stockstats

tf-quant-finance (🥉21 · ⭐ 5K · 💤) - High-performance TensorFlow library for quantitative.. Apache-2

- [GitHub](https://github.com/google/tf-quant-finance) (👨‍💻 48 · 🔀 630 · 📋 65 - 56% open · ⏱️ 21.03.2025):

git clone https://github.com/google/tf-quant-finance

- [PyPi](https://pypi.org/project/tf-quant-finance) (📥 800 / month · 📦 3 · ⏱️ 19.08.2022):

pip install tf-quant-finance

finmarketpy (🥉21 · ⭐ 3.7K · 💤) - Python library for backtesting trading strategies &.. 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) (📥 280 / month · ⏱️ 10.03.2025):

pip install finmarketpy

Show 17 hidden projects...

- zipline (🥇32 · ⭐ 19K · 💀) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2 - ta (🥇32 · ⭐ 4.8K · 💀) - Technical Analysis Library using Pandas and Numpy. MIT - arch (🥇32 · ⭐ 1.4K) - ARCH models in Python. ❗Unlicensed - pyfolio (🥈31 · ⭐ 6.1K · 💀) - Portfolio and risk analytics in Python. Apache-2 - backtrader (🥈29 · ⭐ 19K · 💀) - Python Backtesting library for trading strategies. ❗️GPL-3.0 - IB-insync (🥈28 · ⭐ 3.1K · 💀) - Python sync/async framework for Interactive Brokers API. BSD-2 - Alphalens (🥈27 · ⭐ 3.9K · 💀) - 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 · ⭐ 7.3K) - Backtest trading strategies in Python. ❗️AGPL-3.0 - TensorTrade (🥉26 · ⭐ 5.5K · 💀) - An open source reinforcement learning framework for.. Apache-2 - Enigma Catalyst (🥉26 · ⭐ 2.5K · 💀) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2 - PyAlgoTrade (🥉25 · ⭐ 4.6K · 💀) - Python Algorithmic Trading Library. Apache-2 - FinTA (🥉24 · ⭐ 2.2K · 💀) - Common financial technical indicators implemented in Pandas. ❗️LGPL-3.0 - FinQuant (🥉23 · ⭐ 1.6K · 💀) - A program for financial portfolio management, analysis and.. MIT - Crypto Signals (🥉22 · ⭐ 5.3K · 💀) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. 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 (🥇41 · ⭐ 9.3K) - A unified framework for machine learning with time series. BSD-3

- [GitHub](https://github.com/sktime/sktime) (👨‍💻 510 · 🔀 1.7K · 📥 110 · 📦 4.7K · 📋 3K - 39% open · ⏱️ 09.10.2025):

git clone https://github.com/alan-turing-institute/sktime

- [PyPi](https://pypi.org/project/sktime) (📥 1.1M / month · 📦 160 · ⏱️ 25.09.2025):

pip install sktime

- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (📥 1.2M · ⏱️ 18.09.2025):

conda install -c conda-forge sktime-all-extras

Prophet (🥇34 · ⭐ 20K) - Tool for producing high quality forecasts for time series data that has.. MIT

- [GitHub](https://github.com/facebook/prophet) (👨‍💻 190 · 🔀 4.6K · 📥 3.2K · 📦 21 · 📋 2.2K - 20% open · ⏱️ 17.09.2025):

git clone https://github.com/facebook/prophet

- [PyPi](https://pypi.org/project/fbprophet) (📥 110K / month · 📦 91 · ⏱️ 05.09.2020):

pip install fbprophet

- [Conda](https://anaconda.org/conda-forge/prophet) (📥 1.5M · ⏱️ 01.10.2025):

conda install -c conda-forge prophet

StatsForecast (🥇33 · ⭐ 4.5K) - Lightning fast forecasting with statistical and econometric.. Apache-2

- [GitHub](https://github.com/Nixtla/statsforecast) (👨‍💻 56 · 🔀 330 · 📦 1.8K · 📋 380 - 32% open · ⏱️ 08.10.2025):

git clone https://github.com/Nixtla/statsforecast

- [PyPi](https://pypi.org/project/statsforecast) (📥 1.1M / month · 📦 80 · ⏱️ 05.07.2025):

pip install statsforecast

- [Conda](https://anaconda.org/conda-forge/statsforecast) (📥 210K · ⏱️ 22.04.2025):

conda install -c conda-forge statsforecast

tslearn (🥇33 · ⭐ 3K) - The machine learning toolkit for time series analysis in Python. BSD-2

- [GitHub](https://github.com/tslearn-team/tslearn) (👨‍💻 46 · 🔀 350 · 📦 1.9K · 📋 380 - 38% open · ⏱️ 03.10.2025):

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

- [PyPi](https://pypi.org/project/tslearn) (📥 410K / month · 📦 110 · ⏱️ 02.07.2025):

pip install tslearn

- [Conda](https://anaconda.org/conda-forge/tslearn) (📥 1.7M · ⏱️ 03.07.2025):

conda install -c conda-forge tslearn

skforecast (🥇33 · ⭐ 1.4K) - Time series forecasting with machine learning models. BSD-3

- [GitHub](https://github.com/skforecast/skforecast) (👨‍💻 23 · 🔀 170 · 📦 490 · 📋 210 - 7% open · ⏱️ 22.09.2025):

git clone https://github.com/JoaquinAmatRodrigo/skforecast

- [PyPi](https://pypi.org/project/skforecast) (📥 92K / month · 📦 18 · ⏱️ 22.09.2025):

pip install skforecast

tsfresh (🥈32 · ⭐ 9K) - Automatic extraction of relevant features from time series:. MIT

- [GitHub](https://github.com/blue-yonder/tsfresh) (👨‍💻 100 · 🔀 1.3K · 📦 21 · 📋 550 - 12% open · ⏱️ 30.08.2025):

git clone https://github.com/blue-yonder/tsfresh

- [PyPi](https://pypi.org/project/tsfresh) (📥 370K / month · 📦 120 · ⏱️ 30.08.2025):

pip install tsfresh

- [Conda](https://anaconda.org/conda-forge/tsfresh) (📥 1.5M · ⏱️ 31.08.2025):

conda install -c conda-forge tsfresh

Darts (🥈32 · ⭐ 8.9K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2

- [GitHub](https://github.com/unit8co/darts) (👨‍💻 140 · 🔀 970 · 📋 1.8K - 14% open · ⏱️ 03.10.2025):

git clone https://github.com/unit8co/darts

- [PyPi](https://pypi.org/project/u8darts) (📥 83K / month · 📦 10 · ⏱️ 03.10.2025):

pip install u8darts

- [Conda](https://anaconda.org/conda-forge/u8darts-all) (📥 92K · ⏱️ 05.10.2025):

conda install -c conda-forge u8darts-all

- [Docker Hub](https://hub.docker.com/r/unit8/darts) (📥 2K · ⏱️ 03.10.2025):

docker pull unit8/darts

pytorch-forecasting (🥈32 · ⭐ 4.5K) - Time series forecasting with PyTorch. MIT

- [GitHub](https://github.com/sktime/pytorch-forecasting) (👨‍💻 79 · 🔀 700 · 📦 670 · 📋 920 - 60% open · ⏱️ 08.10.2025):

git clone https://github.com/jdb78/pytorch-forecasting

- [PyPi](https://pypi.org/project/pytorch-forecasting) (📥 290K / month · 📦 25 · ⏱️ 14.06.2025):

pip install pytorch-forecasting

- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (📥 86K · ⏱️ 05.07.2025):

conda install -c conda-forge pytorch-forecasting

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) (📥 6.9M / 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

STUMPY (🥈30 · ⭐ 4K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3

- [GitHub](https://github.com/stumpy-dev/stumpy) (👨‍💻 41 · 🔀 340 · 📦 1.6K · 📋 540 - 13% open · ⏱️ 02.09.2025):

git clone https://github.com/TDAmeritrade/stumpy

- [PyPi](https://pypi.org/project/stumpy) (📥 400K / 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

NeuralForecast (🥈30 · ⭐ 3.8K) - Scalable and user friendly neural forecasting algorithms. Apache-2

- [GitHub](https://github.com/Nixtla/neuralforecast) (👨‍💻 55 · 🔀 450 · 📋 650 - 17% open · ⏱️ 01.10.2025):

git clone https://github.com/Nixtla/neuralforecast

- [PyPi](https://pypi.org/project/neuralforecast) (📥 150K / month · 📦 30 · ⏱️ 01.10.2025):

pip install neuralforecast

- [Conda](https://anaconda.org/conda-forge/neuralforecast) (📥 46K · ⏱️ 06.10.2025):

conda install -c conda-forge neuralforecast

GluonTS (🥈29 · ⭐ 5K) - Probabilistic time series modeling in Python. Apache-2

- [GitHub](https://github.com/awslabs/gluonts) (👨‍💻 120 · 🔀 790 · 📋 970 - 34% open · ⏱️ 14.08.2025):

git clone https://github.com/awslabs/gluon-ts

- [PyPi](https://pypi.org/project/gluonts) (📥 960K / month · 📦 41 · ⏱️ 27.06.2025):

pip install gluonts

- [Conda](https://anaconda.org/anaconda/gluonts) (📥 3K · ⏱️ 22.04.2025):

conda install -c anaconda gluonts

Streamz (🥉28 · ⭐ 1.3K · 💤) - Real-time stream processing for python. BSD-3

- [GitHub](https://github.com/python-streamz/streamz) (👨‍💻 49 · 🔀 150 · 📦 570 · 📋 270 - 44% open · ⏱️ 22.11.2024):

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

- [PyPi](https://pypi.org/project/streamz) (📥 40K / month · 📦 57 · ⏱️ 27.07.2022):

pip install streamz

- [Conda](https://anaconda.org/conda-forge/streamz) (📥 2.8M · ⏱️ 22.04.2025):

conda install -c conda-forge streamz

pyts (🥉27 · ⭐ 1.9K) - A Python package for time series classification. BSD-3

- [GitHub](https://github.com/johannfaouzi/pyts) (👨‍💻 15 · 🔀 170 · 📦 890 · 📋 87 - 58% open · ⏱️ 18.06.2025):

git clone https://github.com/johannfaouzi/pyts

- [PyPi](https://pypi.org/project/pyts) (📥 230K / month · 📦 45 · ⏱️ 18.06.2023):

pip install pyts

- [Conda](https://anaconda.org/conda-forge/pyts) (📥 35K · ⏱️ 22.04.2025):

conda install -c conda-forge pyts

TSFEL (🥉26 · ⭐ 1.1K) - An intuitive library to extract features from time series. BSD-3

- [GitHub](https://github.com/fraunhoferportugal/tsfel) (👨‍💻 21 · 🔀 150 · 📦 220 · 📋 86 - 4% open · ⏱️ 20.08.2025):

git clone https://github.com/fraunhoferportugal/tsfel

- [PyPi](https://pypi.org/project/tsfel) (📥 18K / month · 📦 14 · ⏱️ 20.08.2025):

pip install tsfel

greykite (🥉22 · ⭐ 1.9K · 💤) - A flexible, intuitive and fast forecasting library. BSD-2

- [GitHub](https://github.com/linkedin/greykite) (👨‍💻 10 · 🔀 110 · 📥 39 · 📦 47 · 📋 110 - 11% open · ⏱️ 20.02.2025):

git clone https://github.com/linkedin/greykite

- [PyPi](https://pypi.org/project/greykite) (📥 9.7K / month · ⏱️ 20.02.2025):

pip install greykite

Show 13 hidden projects...

- NeuralProphet (🥉26 · ⭐ 4.2K · 💀) - NeuralProphet: A simple forecasting package. MIT - PyFlux (🥉25 · ⭐ 2.1K · 💀) - Open source time series library for Python. BSD-3 - luminol (🥉22 · ⭐ 1.2K · 💀) - Anomaly Detection and Correlation library. Apache-2 - ADTK (🥉22 · ⭐ 1.2K · 💀) - A Python toolkit for rule-based/unsupervised anomaly detection in.. MPL-2.0 - seglearn (🥉21 · ⭐ 580 · 💀) - Python module for machine learning time series:. BSD-3 - tick (🥉21 · ⭐ 520 · 💀) - Module for statistical learning, with a particular emphasis on time-.. BSD-3 - pydlm (🥉21 · ⭐ 480 · 💀) - A python library for Bayesian time series modeling. BSD-3 - matrixprofile-ts (🥉19 · ⭐ 740 · 💀) - A Python library for detecting patterns and anomalies.. Apache-2 - tsflex (🥉19 · ⭐ 430 · 💀) - Flexible time series feature extraction & processing. MIT - Auto TS (🥉18 · ⭐ 760 · 💀) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 - tsaug (🥉15 · ⭐ 360 · 💀) - A Python package for time series augmentation. Apache-2 - atspy (🥉14 · ⭐ 520 · 💀) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT - tslumen (🥉8 · ⭐ 71 · 💀) - 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 (🥇38 · ⭐ 3.1K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3

- [GitHub](https://github.com/mne-tools/mne-python) (👨‍💻 400 · 🔀 1.4K · 📋 5.1K - 11% open · ⏱️ 08.10.2025):

git clone https://github.com/mne-tools/mne-python

- [PyPi](https://pypi.org/project/mne) (📥 660K / month · 📦 500 · ⏱️ 11.08.2025):

pip install mne

- [Conda](https://anaconda.org/conda-forge/mne) (📥 600K · ⏱️ 11.08.2025):

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 · 🔀 610 · 📥 410 · 📦 4.4K · 📋 2.4K - 12% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/nilearn) (📥 250K / month · 📦 350 · ⏱️ 03.09.2025):

pip install nilearn

- [Conda](https://anaconda.org/conda-forge/nilearn) (📥 390K · ⏱️ 04.09.2025):

conda install -c conda-forge nilearn

MONAI (🥈37 · ⭐ 6.9K) - AI Toolkit for Healthcare Imaging. Apache-2

- [GitHub](https://github.com/Project-MONAI/MONAI) (👨‍💻 240 · 🔀 1.3K · 📦 4.5K · 📋 3.3K - 13% open · ⏱️ 01.10.2025):

git clone https://github.com/Project-MONAI/MONAI

- [PyPi](https://pypi.org/project/monai) (📥 420K / month · 📦 200 · ⏱️ 22.09.2025):

pip install monai

- [Conda](https://anaconda.org/conda-forge/monai) (📥 59K · ⏱️ 22.09.2025):

conda install -c conda-forge monai

Hail (🥈34 · ⭐ 1K) - Cloud-native genomic dataframes and batch computing. MIT

- [GitHub](https://github.com/hail-is/hail) (👨‍💻 99 · 🔀 260 · 📦 170 · 📋 2.6K - 11% open · ⏱️ 08.10.2025):

git clone https://github.com/hail-is/hail

- [PyPi](https://pypi.org/project/hail) (📥 110K / month · 📦 44 · ⏱️ 09.09.2025):

pip install hail

NIPYPE (🥈34 · ⭐ 790) - Workflows and interfaces for neuroimaging packages. Apache-2

- [GitHub](https://github.com/nipy/nipype) (👨‍💻 260 · 🔀 530 · 📦 7.2K · 📋 1.4K - 30% open · ⏱️ 28.04.2025):

git clone https://github.com/nipy/nipype

- [PyPi](https://pypi.org/project/nipype) (📥 440K / month · 📦 150 · ⏱️ 19.03.2025):

pip install nipype

- [Conda](https://anaconda.org/conda-forge/nipype) (📥 960K · ⏱️ 05.05.2025):

conda install -c conda-forge nipype

NiBabel (🥈34 · ⭐ 740) - Python package to access a cacophony of neuro-imaging file formats. MIT

- [GitHub](https://github.com/nipy/nibabel) (👨‍💻 110 · 🔀 260 · 📦 30K · 📋 550 - 23% open · ⏱️ 25.09.2025):

git clone https://github.com/nipy/nibabel

- [PyPi](https://pypi.org/project/nibabel) (📥 1.4M / month · 📦 1.2K · ⏱️ 23.10.2024):

pip install nibabel

- [Conda](https://anaconda.org/conda-forge/nibabel) (📥 1M · ⏱️ 22.04.2025):

conda install -c conda-forge nibabel

Lifelines (🥈32 · ⭐ 2.5K · 💤) - Survival analysis in Python. MIT

- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (👨‍💻 120 · 🔀 560 · 📦 4.2K · 📋 980 - 27% open · ⏱️ 29.10.2024):

git clone https://github.com/CamDavidsonPilon/lifelines

- [PyPi](https://pypi.org/project/lifelines) (📥 1.9M / month · 📦 160 · ⏱️ 29.10.2024):

pip install lifelines

- [Conda](https://anaconda.org/conda-forge/lifelines) (📥 490K · ⏱️ 22.04.2025):

conda install -c conda-forge lifelines

DeepVariant (🥉27 · ⭐ 3.5K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3

- [GitHub](https://github.com/google/deepvariant) (👨‍💻 41 · 🔀 760 · 📥 4.9K · 📦 4 · 📋 960 - 0% open · ⏱️ 10.09.2025):

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

- [Conda](https://anaconda.org/bioconda/deepvariant) (📥 78K · ⏱️ 24.05.2025):

conda install -c bioconda deepvariant

Brainiak (🥉18 · ⭐ 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) (📥 2.6K / month · ⏱️ 07.01.2025):

pip install brainiak

- [Docker Hub](https://hub.docker.com/r/brainiak/brainiak) (📥 2K · ⭐ 1 · ⏱️ 07.01.2025):

docker pull brainiak/brainiak

Show 10 hidden projects...

- DIPY (🥈31 · ⭐ 790) - DIPY is the paragon 3D/4D+ medical imaging library in Python... ❗Unlicensed - NiftyNet (🥉25 · ⭐ 1.4K · 💀) - [unmaintained] An open-source convolutional neural.. Apache-2 - MedPy (🥉23 · ⭐ 610 · 💀) - Medical image processing in Python. ❗️GPL-3.0 - NIPY (🥉23 · ⭐ 400 · 💤) - Neuroimaging in Python FMRI analysis package. ❗Unlicensed - DLTK (🥉21 · ⭐ 1.4K · 💀) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 - Glow (🥉19 · ⭐ 290 · 💤) - An open-source toolkit for large-scale genomic analysis. Apache-2 - MedicalTorch (🥉16 · ⭐ 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 (🥇30 · ⭐ 1.5K) - Machine learning with dataframes. BSD-3

- [GitHub](https://github.com/skrub-data/skrub) (👨‍💻 75 · 🔀 160 · 📦 100 · 📋 560 - 22% open · ⏱️ 09.10.2025):

git clone https://github.com/skrub-data/skrub

- [PyPi](https://pypi.org/project/skrub) (📥 38K / month · 📦 20 · ⏱️ 25.09.2025):

pip install skrub

pytorch_tabular (🥈23 · ⭐ 1.6K) - A standard framework for modelling Deep Learning Models.. MIT

- [GitHub](https://github.com/manujosephv/pytorch_tabular) (👨‍💻 27 · 🔀 150 · 📥 64 · 📋 180 - 5% open · ⏱️ 19.04.2025):

git clone https://github.com/manujosephv/pytorch_tabular

- [PyPi](https://pypi.org/project/pytorch_tabular) (📥 6.1K / month · 📦 9 · ⏱️ 28.11.2024):

pip install pytorch_tabular

upgini (🥈21 · ⭐ 340) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3

- [GitHub](https://github.com/upgini/upgini) (👨‍💻 13 · 🔀 25 · 📦 9 · ⏱️ 24.09.2025):

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

- [PyPi](https://pypi.org/project/upgini) (📥 11K / month · ⏱️ 23.09.2025):

pip install upgini

Show 3 hidden projects...

- miceforest (🥉19 · ⭐ 390 · 💀) - Multiple Imputation with LightGBM in Python. MIT - carefree-learn (🥉18 · ⭐ 410 · 💀) - Deep Learning PyTorch. MIT - deltapy (🥉13 · ⭐ 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 (🥇43 · ⭐ 57K) - Turn any PDF or image document into structured data for your.. Apache-2

- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (👨‍💻 300 · 🔀 8.7K · 📥 2M · 📦 6.2K · 📋 10K - 1% open · ⏱️ 28.09.2025):

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

- [PyPi](https://pypi.org/project/paddleocr) (📥 700K / month · 📦 170 · ⏱️ 21.08.2025):

pip install paddleocr

OCRmyPDF (🥇37 · ⭐ 31K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0

- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (👨‍💻 120 · 🔀 2.2K · 📥 15K · 📦 1.4K · 📋 1.3K - 11% open · ⏱️ 14.09.2025):

git clone https://github.com/ocrmypdf/OCRmyPDF

- [PyPi](https://pypi.org/project/ocrmypdf) (📥 390K / month · 📦 52 · ⏱️ 12.09.2025):

pip install ocrmypdf

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

conda install -c conda-forge ocrmypdf

Tesseract (🥈32 · ⭐ 6.2K · 💤) - Python-tesseract is an optical character recognition (OCR).. Apache-2

- [GitHub](https://github.com/madmaze/pytesseract) (👨‍💻 50 · 🔀 730 · 📋 370 - 3% open · ⏱️ 17.02.2025):

git clone https://github.com/madmaze/pytesseract

- [PyPi](https://pypi.org/project/pytesseract) (📥 5.6M / month · 📦 970 · ⏱️ 16.08.2024):

pip install pytesseract

- [Conda](https://anaconda.org/conda-forge/pytesseract) (📥 690K · ⏱️ 22.04.2025):

conda install -c conda-forge pytesseract

tesserocr (🥈31 · ⭐ 2.1K) - A Python wrapper for the tesseract-ocr API. MIT

- [GitHub](https://github.com/sirfz/tesserocr) (👨‍💻 34 · 🔀 260 · 📥 1.2K · 📦 1.3K · 📋 290 - 15% open · ⏱️ 09.10.2025):

git clone https://github.com/sirfz/tesserocr

- [PyPi](https://pypi.org/project/tesserocr) (📥 200K / month · 📦 56 · ⏱️ 09.10.2025):

pip install tesserocr

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

conda install -c conda-forge tesserocr

MMOCR (🥉27 · ⭐ 4.7K · 💤) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2

- [GitHub](https://github.com/open-mmlab/mmocr) (👨‍💻 90 · 🔀 770 · 📦 240 · 📋 930 - 20% open · ⏱️ 27.11.2024):

git clone https://github.com/open-mmlab/mmocr

- [PyPi](https://pypi.org/project/mmocr) (📥 4.6K / month · 📦 4 · ⏱️ 05.05.2022):

pip install mmocr

keras-ocr (🥉25 · ⭐ 1.5K) - A packaged and flexible version of the CRAFT text detector and.. MIT

- [GitHub](https://github.com/faustomorales/keras-ocr) (👨‍💻 19 · 🔀 340 · 📥 2.1M · 📦 720 · 📋 220 - 46% open · ⏱️ 22.09.2025):

git clone https://github.com/faustomorales/keras-ocr

- [PyPi](https://pypi.org/project/keras-ocr) (📥 18K / month · 📦 8 · ⏱️ 06.11.2023):

pip install keras-ocr

- [Conda](https://anaconda.org/anaconda/keras-ocr) (📥 440 · ⏱️ 22.04.2025):

conda install -c anaconda keras-ocr

Show 6 hidden projects...

- EasyOCR (🥈34 · ⭐ 28K · 💀) - Ready-to-use OCR with 80+ supported languages and all popular.. Apache-2 - 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 - 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 · ⭐ 690 · 💀) - 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 ( ⭐ 4.2K) - 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 ( ⭐ 4.2K) - 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 ( ⭐ 2.6K) - 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 ( ⭐ 4.2K) - Libraries for data batch- and stream-processing,..

Show 1 hidden projects...

- pyclugen (🥇10 · ⭐ 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 (🥇49 · ⭐ 39K) - Ray is an AI compute engine. Ray consists of a core distributed runtime.. Apache-2

- [GitHub](https://github.com/ray-project/ray) (👨‍💻 1.4K · 🔀 6.9K · 📥 270 · 📦 26K · 📋 22K - 14% open · ⏱️ 09.10.2025):

git clone https://github.com/ray-project/ray

- [PyPi](https://pypi.org/project/ray) (📥 25M / month · 📦 1.1K · ⏱️ 19.09.2025):

pip install ray

- [Conda](https://anaconda.org/conda-forge/ray-tune) (📥 900K · ⏱️ 29.09.2025):

conda install -c conda-forge ray-tune

dask (🥇44 · ⭐ 14K) - Parallel computing with task scheduling. BSD-3

- [GitHub](https://github.com/dask/dask) (👨‍💻 630 · 🔀 1.8K · 📦 77K · 📋 5.6K - 21% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/dask) (📥 19M / month · 📦 3.2K · ⏱️ 16.09.2025):

pip install dask

- [Conda](https://anaconda.org/conda-forge/dask) (📥 14M · ⏱️ 17.09.2025):

conda install -c conda-forge dask

DeepSpeed (🥇41 · ⭐ 40K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2

- [GitHub](https://github.com/deepspeedai/DeepSpeed) (👨‍💻 420 · 🔀 4.6K · 📦 15K · 📋 3.2K - 34% open · ⏱️ 07.10.2025):

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

- [PyPi](https://pypi.org/project/deepspeed) (📥 1.2M / month · 📦 340 · ⏱️ 07.10.2025):

pip install deepspeed

- [Docker Hub](https://hub.docker.com/r/deepspeed/deepspeed) (📥 23K · ⭐ 4 · ⏱️ 02.09.2022):

docker pull deepspeed/deepspeed

dask.distributed (🥇39 · ⭐ 1.7K) - A distributed task scheduler for Dask. BSD-3

- [GitHub](https://github.com/dask/distributed) (👨‍💻 340 · 🔀 740 · 📦 42K · 📋 3.9K - 37% open · ⏱️ 02.10.2025):

git clone https://github.com/dask/distributed

- [PyPi](https://pypi.org/project/distributed) (📥 6.1M / month · 📦 1K · ⏱️ 16.09.2025):

pip install distributed

- [Conda](https://anaconda.org/conda-forge/distributed) (📥 20M · ⏱️ 17.09.2025):

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) (👨‍💻 180 · 🔀 2.3K · 📦 1.4K · 📋 2.3K - 17% open · ⏱️ 31.07.2025):

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

- [PyPi](https://pypi.org/project/horovod) (📥 79K / 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 · 🔀 460 · 📥 6.9K · 📦 45K · 📋 980 - 7% open · ⏱️ 05.10.2025):

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

- [PyPi](https://pypi.org/project/metrics) (📥 4.1K / month · 📦 4 · ⏱️ 26.02.2025):

pip install metrics

- [Conda](https://anaconda.org/conda-forge/torchmetrics) (📥 2.1M · ⏱️ 03.09.2025):

conda install -c conda-forge torchmetrics

H2O-3 (🥈34 · ⭐ 7.3K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2

- [GitHub](https://github.com/h2oai/h2o-3) (👨‍💻 280 · 🔀 2K · 📦 99 · 📋 9.6K - 30% open · ⏱️ 09.10.2025):

git clone https://github.com/h2oai/h2o-3

- [PyPi](https://pypi.org/project/h2o) (📥 200K / month · 📦 65 · ⏱️ 08.10.2025):

pip install h2o

ColossalAI (🥈33 · ⭐ 41K) - Making large AI models cheaper, faster and more accessible. Apache-2

- [GitHub](https://github.com/hpcaitech/ColossalAI) (👨‍💻 200 · 🔀 4.5K · 📦 530 · 📋 1.8K - 26% open · ⏱️ 26.09.2025):

git clone https://github.com/hpcaitech/colossalai

mpi4py (🥈32 · ⭐ 880) - Python bindings for MPI. BSD-3

- [GitHub](https://github.com/mpi4py/mpi4py) (👨‍💻 28 · 🔀 130 · 📥 39K · 📋 230 - 3% open · ⏱️ 05.10.2025):

git clone https://github.com/mpi4py/mpi4py

- [PyPi](https://pypi.org/project/mpi4py) (📥 800K / month · 📦 930 · ⏱️ 25.06.2025):

pip install mpi4py

- [Conda](https://anaconda.org/conda-forge/mpi4py) (📥 4.4M · ⏱️ 23.09.2025):

conda install -c conda-forge mpi4py

FairScale (🥈31 · ⭐ 3.4K) - PyTorch extensions for high performance and large scale training. BSD-3

- [GitHub](https://github.com/facebookresearch/fairscale) (👨‍💻 77 · 🔀 290 · 📦 8.8K · 📋 390 - 26% open · ⏱️ 26.04.2025):

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

- [PyPi](https://pypi.org/project/fairscale) (📥 650K / month · 📦 150 · ⏱️ 11.12.2022):

pip install fairscale

- [Conda](https://anaconda.org/conda-forge/fairscale) (📥 520K · ⏱️ 22.04.2025):

conda install -c conda-forge fairscale

Submit it (🥈31 · ⭐ 1.5K) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT

- [GitHub](https://github.com/facebookincubator/submitit) (👨‍💻 26 · 🔀 140 · 📦 4.7K · 📋 130 - 38% open · ⏱️ 21.05.2025):

git clone https://github.com/facebookincubator/submitit

- [PyPi](https://pypi.org/project/submitit) (📥 760K / month · 📦 74 · ⏱️ 21.05.2025):

pip install submitit

- [Conda](https://anaconda.org/conda-forge/submitit) (📥 64K · ⏱️ 22.04.2025):

conda install -c conda-forge submitit

BigDL (🥈30 · ⭐ 8.4K) - Accelerate local LLM inference and finetuning (LLaMA, Mistral,.. Apache-2

- [GitHub](https://github.com/intel/ipex-llm) (👨‍💻 120 · 🔀 1.4K · 📥 710 · 📋 3K - 40% open · ⏱️ 23.09.2025):

git clone https://github.com/intel-analytics/BigDL

- [PyPi](https://pypi.org/project/bigdl) (📥 12K / 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>

SynapseML (🥈30 · ⭐ 5.2K) - Simple and Distributed Machine Learning. MIT

- [GitHub](https://github.com/microsoft/SynapseML) (👨‍💻 130 · 🔀 850 · 📋 820 - 49% open · ⏱️ 08.10.2025):

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

- [PyPi](https://pypi.org/project/synapseml) (📥 1.7M / month · 📦 7 · ⏱️ 03.10.2025):

pip install synapseml

petastorm (🥈29 · ⭐ 1.9K) - Petastorm library enables single machine or distributed training.. Apache-2

- [GitHub](https://github.com/uber/petastorm) (👨‍💻 52 · 🔀 280 · 📥 580 · 📦 220 · 📋 330 - 54% open · ⏱️ 15.09.2025):

git clone https://github.com/uber/petastorm

- [PyPi](https://pypi.org/project/petastorm) (📥 270K / month · 📦 15 · ⏱️ 11.08.2025):

pip install petastorm

dask-ml (🥉28 · ⭐ 940) - Scalable Machine Learning with Dask. BSD-3

- [GitHub](https://github.com/dask/dask-ml) (👨‍💻 82 · 🔀 260 · 📦 1.3K · 📋 550 - 51% open · ⏱️ 27.09.2025):

git clone https://github.com/dask/dask-ml

- [PyPi](https://pypi.org/project/dask-ml) (📥 170K / month · 📦 100 · ⏱️ 08.02.2025):

pip install dask-ml

- [Conda](https://anaconda.org/conda-forge/dask-ml) (📥 1.1M · ⏱️ 22.04.2025):

conda install -c conda-forge dask-ml

Hivemind (🥉25 · ⭐ 2.3K) - Decentralized deep learning in PyTorch. Built to train models on.. MIT

- [GitHub](https://github.com/learning-at-home/hivemind) (👨‍💻 34 · 🔀 190 · 📦 130 · 📋 190 - 43% open · ⏱️ 03.08.2025):

git clone https://github.com/learning-at-home/hivemind

- [PyPi](https://pypi.org/project/hivemind) (📥 60K / month · 📦 12 · ⏱️ 20.04.2025):

pip install hivemind

MMLSpark (🥉23 · ⭐ 5.2K) - Simple and Distributed Machine Learning. MIT

- [GitHub](https://github.com/microsoft/SynapseML) (👨‍💻 130 · 🔀 850 · 📋 820 - 49% open · ⏱️ 08.10.2025):

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

- [PyPi](https://pypi.org/project/mmlspark) (⏱️ 18.03.2020):

pip install mmlspark

Apache Singa (🥉23 · ⭐ 3.6K · 💤) - a distributed deep learning platform. Apache-2

- [GitHub](https://github.com/apache/singa) (👨‍💻 98 · 🔀 1.3K · 📦 6 · 📋 140 - 35% open · ⏱️ 26.03.2025):

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

- [Conda](https://anaconda.org/nusdbsystem/singa) (📥 1.2K · ⏱️ 25.03.2025):

conda install -c nusdbsystem singa

- [Docker Hub](https://hub.docker.com/r/apache/singa) (📥 9.8K · ⭐ 3 · ⏱️ 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 · ⏱️ 09.10.2025):

git clone https://github.com/intel-analytics/analytics-zoo

- [PyPi](https://pypi.org/project/analytics-zoo) (📥 490 / month · 📦 1 · ⏱️ 22.08.2022):

pip install analytics-zoo

Show 17 hidden projects...

- DEAP (🥈34 · ⭐ 6.2K) - Distributed Evolutionary Algorithms in Python. ❗️LGPL-3.0 - ipyparallel (🥈29 · ⭐ 2.6K) - IPython Parallel: Interactive Parallel Computing in.. ❗Unlicensed - TensorFlowOnSpark (🥉25 · ⭐ 3.9K · 💀) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2 - Elephas (🥉24 · ⭐ 1.6K · 💀) - Distributed Deep learning with Keras & Spark. MIT keras - Mesh (🥉23 · ⭐ 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 - somoclu (🥉21 · ⭐ 280 · 💀) - Massively parallel self-organizing maps: accelerate training on.. MIT - sk-dist (🥉20 · ⭐ 290 · 💀) - Distributed scikit-learn meta-estimators in PySpark. Apache-2 - TensorFrames (🥉19 · ⭐ 750 · 💀) - [DEPRECATED] Tensorflow wrapper for DataFrames on.. Apache-2 - mesh-transformer-jax (🥉18 · ⭐ 6.3K · 💀) - Model parallel transformers in JAX and Haiku. Apache-2 - launchpad (🥉18 · ⭐ 330 · 💀) - 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 - 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 (🥇44 · ⭐ 13K) - A hyperparameter optimization framework. MIT

- [GitHub](https://github.com/optuna/optuna) (👨‍💻 320 · 🔀 1.2K · 📦 29K · 📋 1.8K - 3% open · ⏱️ 03.10.2025):

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

- [PyPi](https://pypi.org/project/optuna) (📥 7.4M / month · 📦 1.5K · ⏱️ 18.08.2025):

pip install optuna

- [Conda](https://anaconda.org/conda-forge/optuna) (📥 3.4M · ⏱️ 19.08.2025):

conda install -c conda-forge optuna

AutoGluon (🥇36 · ⭐ 9.5K) - Fast and Accurate ML in 3 Lines of Code. Apache-2

- [GitHub](https://github.com/autogluon/autogluon) (👨‍💻 140 · 🔀 1.1K · 📦 1.2K · 📋 1.7K - 25% open · ⏱️ 26.09.2025):

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

- [PyPi](https://pypi.org/project/autogluon) (📥 220K / month · 📦 38 · ⏱️ 09.10.2025):

pip install autogluon

- [Conda](https://anaconda.org/conda-forge/autogluon) (📥 44K · ⏱️ 30.07.2025):

conda install -c conda-forge autogluon

- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (📥 20K · ⭐ 19 · ⏱️ 16.06.2025):

docker pull autogluon/autogluon

Ax (🥇36 · ⭐ 2.6K) - Adaptive Experimentation Platform. MIT

- [GitHub](https://github.com/facebook/Ax) (👨‍💻 200 · 🔀 350 · 📦 1.1K · 📋 930 - 12% open · ⏱️ 09.10.2025):

git clone https://github.com/facebook/Ax

- [PyPi](https://pypi.org/project/ax-platform) (📥 260K / month · 📦 71 · ⏱️ 09.09.2025):

pip install ax-platform

- [Conda](https://anaconda.org/conda-forge/ax-platform) (📥 47K · ⏱️ 10.09.2025):

conda install -c conda-forge ax-platform

Bayesian Optimization (🥇35 · ⭐ 8.4K) - A Python implementation of global optimization with.. MIT

- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (👨‍💻 52 · 🔀 1.6K · 📥 180 · 📦 3.9K · 📋 390 - 1% open · ⏱️ 09.09.2025):

git clone https://github.com/fmfn/BayesianOptimization

- [PyPi](https://pypi.org/project/bayesian-optimization) (📥 510K / month · 📦 190 · ⏱️ 24.07.2025):

pip install bayesian-optimization

BoTorch (🥇35 · ⭐ 3.4K) - Bayesian optimization in PyTorch. MIT

- [GitHub](https://github.com/meta-pytorch/botorch) (👨‍💻 150 · 🔀 440 · 📦 1.6K · 📋 620 - 14% open · ⏱️ 08.10.2025):

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

- [PyPi](https://pypi.org/project/botorch) (📥 530K / month · 📦 130 · ⏱️ 12.08.2025):

pip install botorch

- [Conda](https://anaconda.org/conda-forge/botorch) (📥 170K · ⏱️ 12.08.2025):

conda install -c conda-forge botorch

Hyperopt (🥇34 · ⭐ 7.5K · 💤) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3

- [GitHub](https://github.com/hyperopt/hyperopt) (👨‍💻 100 · 🔀 1.1K · 📦 22K · 📋 800 - 17% open · ⏱️ 27.12.2024):

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

- [PyPi](https://pypi.org/project/hyperopt) (📥 2.8M / month · 📦 450 · ⏱️ 17.11.2021):

pip install hyperopt

- [Conda](https://anaconda.org/conda-forge/hyperopt) (📥 860K · ⏱️ 22.04.2025):

conda install -c conda-forge hyperopt

AutoKeras (🥈32 · ⭐ 9.3K · 💤) - AutoML library for deep learning. Apache-2

- [GitHub](https://github.com/keras-team/autokeras) (👨‍💻 150 · 🔀 1.4K · 📥 21K · 📦 890 · 📋 910 - 16% open · ⏱️ 16.12.2024):

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

- [PyPi](https://pypi.org/project/autokeras) (📥 18K / 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) (📥 110K / month · 📦 74 · ⏱️ 14.05.2024):

pip install featuretools

- [Conda](https://anaconda.org/conda-forge/featuretools) (📥 270K · ⏱️ 22.04.2025):

conda install -c conda-forge featuretools

nevergrad (🥈30 · ⭐ 4.1K) - A Python toolbox for performing gradient-free optimization. MIT

- [GitHub](https://github.com/facebookresearch/nevergrad) (👨‍💻 58 · 🔀 360 · 📦 990 · 📋 310 - 40% open · ⏱️ 23.04.2025):

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

- [PyPi](https://pypi.org/project/nevergrad) (📥 190K / month · 📦 72 · ⏱️ 23.04.2025):

pip install nevergrad

- [Conda](https://anaconda.org/conda-forge/nevergrad) (📥 67K · ⏱️ 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) (📥 8.3K / month · 📦 6 · ⏱️ 07.07.2025):

pip install mljar-supervised

- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (📥 51K · ⏱️ 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 code.. MIT

- [GitHub](https://github.com/shankarpandala/lazypredict) (👨‍💻 19 · 🔀 360 · 📦 1.4K · 📋 160 - 64% open · ⏱️ 07.10.2025):

git clone https://github.com/shankarpandala/lazypredict

- [PyPi](https://pypi.org/project/lazypredict) (📥 29K / month · 📦 8 · ⏱️ 05.04.2025):

pip install lazypredict

- [Conda](https://anaconda.org/conda-forge/lazypredict) (📥 6.4K · ⏱️ 22.04.2025):

conda install -c conda-forge lazypredict

Hyperactive (🥉24 · ⭐ 530) - An optimization and data collection toolbox for convenient and fast.. MIT

- [GitHub](https://github.com/SimonBlanke/Hyperactive) (👨‍💻 15 · 🔀 51 · 📥 330 · 📦 40 · 📋 120 - 29% open · ⏱️ 30.09.2025):

git clone https://github.com/SimonBlanke/Hyperactive

- [PyPi](https://pypi.org/project/hyperactive) (📥 7.5K / month · 📦 13 · ⏱️ 20.09.2025):

pip install hyperactive

FEDOT (🥉23 · ⭐ 700) - Automated modeling and machine learning framework FEDOT. BSD-3

- [GitHub](https://github.com/aimclub/FEDOT) (👨‍💻 39 · 🔀 88 · 📦 65 · 📋 570 - 11% open · ⏱️ 26.08.2025):

git clone https://github.com/nccr-itmo/FEDOT

- [PyPi](https://pypi.org/project/fedot) (📥 3.8K / 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 · ⏱️ 24.08.2025):

git clone https://github.com/ScottfreeLLC/AlphaPy

- [PyPi](https://pypi.org/project/alphapy) (📥 230 / month · ⏱️ 29.08.2020):

pip install alphapy

Auto ViML (🥉20 · ⭐ 540 · 💤) - Automatically Build Multiple ML Models with a Single Line of.. 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) (📥 2.3K / month · 📦 3 · ⏱️ 30.01.2025):

pip install autoviml

featurewiz (🥉18 · ⭐ 670 · 💤) - Use advanced feature engineering strategies and select best.. Apache-2

- [GitHub](https://github.com/AutoViML/featurewiz) (👨‍💻 18 · 🔀 98 · 📋 110 - 0% open · ⏱️ 19.02.2025):

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

- [PyPi](https://pypi.org/project/featurewiz) (📥 6.2K / month · 📦 4 · ⏱️ 19.02.2025):

pip install featurewiz

Show 36 hidden projects...

- TPOT (🥈33 · ⭐ 10K) - A Python Automated Machine Learning tool that optimizes machine.. ❗️LGPL-3.0 - Keras Tuner (🥈32 · ⭐ 2.9K · 💀) - A Hyperparameter Tuning Library for Keras. Apache-2 - 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 · ⭐ 8K · 💀) - Automated Machine Learning with scikit-learn. BSD-3 - Hyperas (🥈27 · ⭐ 2.2K · 💀) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT - SMAC3 (🥈27 · ⭐ 1.2K · 💤) - SMAC3: A Versatile Bayesian Optimization Package for.. ❗️BSD-1-Clause - GPyOpt (🥈26 · ⭐ 950 · 💀) - Gaussian Process Optimization using GPy. BSD-3 - Talos (🥈25 · ⭐ 1.6K · 💀) - Hyperparameter Experiments with TensorFlow and Keras. MIT - lightwood (🥈25 · ⭐ 480) - Lightwood is Legos for Machine Learning. ❗️GPL-3.0 - AdaNet (🥉24 · ⭐ 3.5K · 💀) - Fast and flexible AutoML with learning guarantees. Apache-2 - auto_ml (🥉24 · ⭐ 1.7K · 💀) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT - Orion (🥉24 · ⭐ 300 · 💀) - Asynchronous Distributed Hyperparameter Optimization. BSD-3 - HpBandSter (🥉22 · ⭐ 620 · 💀) - a distributed Hyperband implementation on Steroids. BSD-3 - MLBox (🥉21 · ⭐ 1.5K · 💀) - MLBox is a powerful Automated Machine Learning python library. ❗️BSD-1-Clause - sklearn-deap (🥉21 · ⭐ 770 · 💀) - Use evolutionary algorithms instead of gridsearch in.. MIT - 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 - optunity (🥉21 · ⭐ 420 · 💀) - optimization routines for hyperparameter tuning. BSD-3 - igel (🥉20 · ⭐ 3.1K · 💀) - a delightful machine learning tool that allows you to train, test, and.. MIT - opytimizer (🥉20 · ⭐ 620 · 💀) - Opytimizer is a Python library consisting of meta-heuristic.. Apache-2 - Sherpa (🥉20 · ⭐ 340 · 💀) - Hyperparameter optimization that enables researchers to.. ❗️GPL-3.0 - 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 - 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.

ViZDoom (🥇31 · ⭐ 1.9K) - Reinforcement Learning environments based on the 1993 game Doom. MIT

- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (👨‍💻 57 · 🔀 400 · 📥 12K · 📦 340 · 📋 470 - 7% open · ⏱️ 01.10.2025):

git clone https://github.com/mwydmuch/ViZDoom

- [PyPi](https://pypi.org/project/vizdoom) (📥 8.6K / month · 📦 17 · ⏱️ 29.06.2025):

pip install vizdoom

FinRL (🥇30 · ⭐ 13K) - FinRL: Financial Reinforcement Learning. MIT

- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (👨‍💻 130 · 🔀 2.9K · 📦 110 · 📋 760 - 35% open · ⏱️ 03.10.2025):

git clone https://github.com/AI4Finance-Foundation/FinRL

- [PyPi](https://pypi.org/project/finrl) (📥 3.1K / month · ⏱️ 08.01.2022):

pip install finrl

Acme (🥈29 · ⭐ 3.8K) - A library of reinforcement learning components and agents. Apache-2

- [GitHub](https://github.com/google-deepmind/acme) (👨‍💻 90 · 🔀 500 · 📦 250 · 📋 270 - 24% open · ⏱️ 26.09.2025):

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

- [PyPi](https://pypi.org/project/dm-acme) (📥 15K / month · 📦 3 · ⏱️ 10.02.2022):

pip install dm-acme

- [Conda](https://anaconda.org/conda-forge/dm-acme) (📥 14K · ⏱️ 22.04.2025):

conda install -c conda-forge dm-acme

TF-Agents (🥈28 · ⭐ 3K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2

- [GitHub](https://github.com/tensorflow/agents) (👨‍💻 150 · 🔀 740 · 📋 680 - 30% open · ⏱️ 16.06.2025):

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

- [PyPi](https://pypi.org/project/tf-agents) (📥 61K / month · 📦 14 · ⏱️ 14.12.2023):

pip install tf-agents

Dopamine (🥈27 · ⭐ 11K · 💤) - Dopamine is a research framework for fast prototyping of.. Apache-2

- [GitHub](https://github.com/google/dopamine) (👨‍💻 15 · 🔀 1.4K · 📦 21 · 📋 200 - 55% open · ⏱️ 04.11.2024):

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

- [PyPi](https://pypi.org/project/dopamine-rl) (📥 130K / month · 📦 10 · ⏱️ 31.10.2024):

pip install dopamine-rl

RLax (🥉26 · ⭐ 1.4K) - A library of reinforcement learning building blocks in JAX. Apache-2

- [GitHub](https://github.com/google-deepmind/rlax) (👨‍💻 23 · 🔀 94 · 📦 370 · 📋 27 - 29% open · ⏱️ 26.09.2025):

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

- [PyPi](https://pypi.org/project/rlax) (📥 53K / month · 📦 22 · ⏱️ 01.09.2025):

pip install rlax

PARL (🥉25 · ⭐ 3.4K) - A high-performance distributed training framework for Reinforcement.. Apache-2

- [GitHub](https://github.com/PaddlePaddle/PARL) (👨‍💻 46 · 🔀 820 · 📦 140 · 📋 540 - 23% open · ⏱️ 13.09.2025):

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

- [PyPi](https://pypi.org/project/parl) (📥 3.4K / month · 📦 1 · ⏱️ 13.05.2022):

pip install parl

ReAgent (🥉21 · ⭐ 3.7K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3

- [GitHub](https://github.com/facebookresearch/ReAgent) (👨‍💻 170 · 🔀 520 · 📋 160 - 53% open · ⏱️ 02.09.2025):

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

- [PyPi](https://pypi.org/project/reagent) (📥 34 / month · ⏱️ 27.05.2020):

pip install reagent

Show 15 hidden projects...

- OpenAI Gym (🥇39 · ⭐ 37K · 💀) - A toolkit for developing and comparing reinforcement learning.. MIT - baselines (🥈29 · ⭐ 16K · 💀) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT - TensorLayer (🥈28 · ⭐ 7.4K · 💀) - Deep Learning and Reinforcement Learning Library for.. Apache-2 - keras-rl (🥈28 · ⭐ 5.6K · 💀) - Deep Reinforcement Learning for Keras. MIT - TensorForce (🥈27 · ⭐ 3.3K · 💀) - Tensorforce: a TensorFlow library for applied.. Apache-2 - garage (🥉26 · ⭐ 2K · 💀) - A toolkit for reproducible reinforcement learning research. MIT - Stable Baselines (🥉25 · ⭐ 4.3K · 💀) - A fork of OpenAI Baselines, implementations of.. MIT - ChainerRL (🥉25 · ⭐ 1.2K · 💀) - ChainerRL is a deep reinforcement learning library built on top of.. MIT - PFRL (🥉23 · ⭐ 1.2K · 💀) - PFRL: a PyTorch-based deep reinforcement learning library. MIT - TRFL (🥉22 · ⭐ 3.1K · 💀) - TensorFlow Reinforcement Learning. Apache-2 - Coach (🥉21 · ⭐ 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 · ⭐ 7.3K · 💀) - A customisable 3D platform for agent-based AI research. ❗Unlicensed - rliable (🥉14 · ⭐ 850 · 💀) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on.. Apache-2 - Maze (🥉13 · ⭐ 280 · 💀) - Maze Applied Reinforcement Learning Framework. ❗️Custom

Recommender Systems¶

Libraries for building and evaluating recommendation systems.

Recommenders (🥇34 · ⭐ 21K) - Best Practices on Recommendation Systems. MIT

- [GitHub](https://github.com/recommenders-team/recommenders) (👨‍💻 140 · 🔀 3.2K · 📥 790 · 📦 180 · 📋 890 - 18% open · ⏱️ 29.09.2025):

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

- [PyPi](https://pypi.org/project/recommenders) (📥 13K / month · 📦 4 · ⏱️ 24.12.2024):

pip install recommenders

torchrec (🥇32 · ⭐ 2.4K) - Pytorch domain library for recommendation systems. BSD-3

- [GitHub](https://github.com/meta-pytorch/torchrec) (👨‍💻 390 · 🔀 560 · 📦 240 · 📋 320 - 49% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (📥 560 / month · ⏱️ 12.05.2022):

pip install torchrec-nightly-cpu

Cornac (🥈28 · ⭐ 990) - A Comparative Framework for Multimodal Recommender Systems. Apache-2

- [GitHub](https://github.com/PreferredAI/cornac) (👨‍💻 25 · 🔀 160 · 📦 300 · 📋 170 - 17% open · ⏱️ 04.10.2025):

git clone https://github.com/PreferredAI/cornac

- [PyPi](https://pypi.org/project/cornac) (📥 38K / month · 📦 18 · ⏱️ 04.10.2025):

pip install cornac

- [Conda](https://anaconda.org/conda-forge/cornac) (📥 910K · ⏱️ 05.10.2025):

conda install -c conda-forge cornac

lkpy (🥈28 · ⭐ 300) - Python recommendation toolkit. MIT

- [GitHub](https://github.com/lenskit/lkpy) (👨‍💻 41 · 🔀 71 · 📦 140 · 📋 270 - 31% open · ⏱️ 08.10.2025):

git clone https://github.com/lenskit/lkpy

- [PyPi](https://pypi.org/project/lenskit) (📥 7.1K / month · 📦 13 · ⏱️ 08.10.2025):

pip install lenskit

- [Conda](https://anaconda.org/conda-forge/lenskit) (📥 51K · ⏱️ 22.04.2025):

conda install -c conda-forge lenskit

RecBole (🥉25 · ⭐ 4K · 💤) - A unified, comprehensive and efficient recommendation library. MIT

- [GitHub](https://github.com/RUCAIBox/RecBole) (👨‍💻 79 · 🔀 690 · 📋 1K - 30% open · ⏱️ 24.02.2025):

git clone https://github.com/RUCAIBox/RecBole

- [PyPi](https://pypi.org/project/recbole) (📥 140K / month · 📦 2 · ⏱️ 24.02.2025):

pip install recbole

- [Conda](https://anaconda.org/aibox/recbole) (📥 9.2K · ⏱️ 25.03.2025):

conda install -c aibox recbole

TF Recommenders (🥉25 · ⭐ 2K) - TensorFlow Recommenders is a library for building.. Apache-2

- [GitHub](https://github.com/tensorflow/recommenders) (👨‍💻 45 · 🔀 290 · 📋 450 - 59% open · ⏱️ 27.09.2025):

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

- [PyPi](https://pypi.org/project/tensorflow-recommenders) (📥 220K / 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 (🥈28 · ⭐ 5K · 💀) - A Python implementation of LightFM, a hybrid recommendation.. Apache-2 - scikit-surprise (🥈27 · ⭐ 6.7K · 💀) - A Python scikit for building and analyzing recommender.. BSD-3 - TF Ranking (🥉26 · ⭐ 2.8K · 💀) - Learning to Rank in TensorFlow. Apache-2 - fastFM (🥉22 · ⭐ 1.1K · 💀) - fastFM: A Library for Factorization Machines. BSD-3 - tensorrec (🥉21 · ⭐ 1.3K · 💀) - A TensorFlow recommendation algorithm and framework in.. Apache-2 - Spotlight (🥉18 · ⭐ 3K · 💀) - Deep recommender models using PyTorch. MIT - recmetrics (🥉18 · ⭐ 580 · 💀) - A library of metrics for evaluating recommender systems. MIT - Case Recommender (🥉18 · ⭐ 500 · 💀) - Case Recommender: A Flexible and Extensible Python.. MIT - OpenRec (🥉16 · ⭐ 420 · 💀) - 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.

PySyft (🥇31 · ⭐ 9.8K) - 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) (📥 23K / month · 📦 5 · ⏱️ 13.04.2025):

pip install syft

Opacus (🥇31 · ⭐ 1.9K) - Training PyTorch models with differential privacy. Apache-2

- [GitHub](https://github.com/meta-pytorch/opacus) (👨‍💻 87 · 🔀 370 · 📥 140 · 📦 1.2K · 📋 340 - 19% open · ⏱️ 16.09.2025):

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) (📥 28K · ⏱️ 09.07.2025):

conda install -c conda-forge opacus

TensorFlow Privacy (🥈24 · ⭐ 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) (📥 30K / month · 📦 21 · ⏱️ 14.02.2024):

pip install tensorflow-privacy

FATE (🥉23 · ⭐ 6K · 💤) - An Industrial Grade Federated Learning Framework. Apache-2

- [GitHub](https://github.com/FederatedAI/FATE) (👨‍💻 100 · 🔀 1.6K · 📦 1 · 📋 2.1K - 2% open · ⏱️ 19.11.2024):

git clone https://github.com/FederatedAI/FATE

- [PyPi](https://pypi.org/project/ETAF) (⏱️ 06.05.2020):

pip install ETAF

CrypTen (🥉22 · ⭐ 1.6K · 💤) - A framework for Privacy Preserving Machine Learning. MIT

- [GitHub](https://github.com/facebookresearch/CrypTen) (👨‍💻 40 · 🔀 290 · 📋 280 - 28% open · ⏱️ 23.11.2024):

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

- [PyPi](https://pypi.org/project/crypten) (📥 1.3K / month · 📦 1 · ⏱️ 08.12.2022):

pip install crypten

Show 2 hidden projects...

- TFEncrypted (🥈24 · ⭐ 1.2K · 💀) - A Framework for Encrypted Machine Learning in.. Apache-2 - PipelineDP (🥉19 · ⭐ 280) - PipelineDP is a Python framework for applying differentially.. Apache-2

Workflow & Experiment Tracking¶

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

mlflow (🥇46 · ⭐ 22K) - The open source developer platform to build AI/LLM applications and.. Apache-2

- [GitHub](https://github.com/mlflow/mlflow) (👨‍💻 900 · 🔀 4.9K · 📦 65K · 📋 5.1K - 39% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/mlflow) (📥 24M / month · 📦 1.3K · ⏱️ 08.10.2025):

pip install mlflow

- [Conda](https://anaconda.org/conda-forge/mlflow) (📥 3.6M · ⏱️ 08.08.2025):

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) (👨‍💻 220 · 🔀 780 · 📥 1.1K · 📦 84K · 📋 3.7K - 18% open · ⏱️ 09.10.2025):

git clone https://github.com/wandb/client

- [PyPi](https://pypi.org/project/wandb) (📥 21M / month · 📦 2.3K · ⏱️ 29.09.2025):

pip install wandb

- [Conda](https://anaconda.org/conda-forge/wandb) (📥 1.2M · ⏱️ 07.10.2025):

conda install -c conda-forge wandb

DVC (🥇42 · ⭐ 15K) - Data Versioning and ML Experiments. Apache-2

- [GitHub](https://github.com/iterative/dvc) (👨‍💻 320 · 🔀 1.2K · 📦 24K · 📋 4.9K - 4% open · ⏱️ 08.10.2025):

git clone https://github.com/iterative/dvc

- [PyPi](https://pypi.org/project/dvc) (📥 1.2M / month · 📦 140 · ⏱️ 02.09.2025):

pip install dvc

- [Conda](https://anaconda.org/conda-forge/dvc) (📥 3.1M · ⏱️ 02.09.2025):

conda install -c conda-forge dvc

Tensorboard (🥇42 · ⭐ 7K) - TensorFlows Visualization Toolkit. Apache-2

- [GitHub](https://github.com/tensorflow/tensorboard) (👨‍💻 330 · 🔀 1.7K · 📦 330K · 📋 1.9K - 36% open · ⏱️ 12.08.2025):

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

- [PyPi](https://pypi.org/project/tensorboard) (📥 28M / month · 📦 2.8K · ⏱️ 17.07.2025):

pip install tensorboard

- [Conda](https://anaconda.org/conda-forge/tensorboard) (📥 5.9M · ⏱️ 18.07.2025):

conda install -c conda-forge tensorboard

SageMaker SDK (🥈41 · ⭐ 2.2K) - A library for training and deploying machine learning.. Apache-2

- [GitHub](https://github.com/aws/sagemaker-python-sdk) (👨‍💻 500 · 🔀 1.2K · 📦 6.2K · 📋 1.6K - 21% open · ⏱️ 07.10.2025):

git clone https://github.com/aws/sagemaker-python-sdk

- [PyPi](https://pypi.org/project/sagemaker) (📥 27M / month · 📦 210 · ⏱️ 29.09.2025):

pip install sagemaker

- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (📥 1.7M · ⏱️ 25.08.2025):

conda install -c conda-forge sagemaker-python-sdk

Metaflow (🥈37 · ⭐ 9.6K) - Build, Manage and Deploy AI/ML Systems. Apache-2

- [GitHub](https://github.com/Netflix/metaflow) (👨‍💻 120 · 🔀 980 · 📦 940 · 📋 840 - 43% open · ⏱️ 09.10.2025):

git clone https://github.com/Netflix/metaflow

- [PyPi](https://pypi.org/project/metaflow) (📥 640K / month · 📦 53 · ⏱️ 07.10.2025):

pip install metaflow

- [Conda](https://anaconda.org/conda-forge/metaflow) (📥 340K · ⏱️ 08.09.2025):

conda install -c conda-forge metaflow

tensorboardX (🥈35 · ⭐ 8K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT

- [GitHub](https://github.com/lanpa/tensorboardX) (👨‍💻 85 · 🔀 860 · 📥 500 · 📦 60K · 📋 470 - 18% open · ⏱️ 13.06.2025):

git clone https://github.com/lanpa/tensorboardX

- [PyPi](https://pypi.org/project/tensorboardX) (📥 4.7M / 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

PyCaret (🥈34 · ⭐ 9.5K · 💤) - An open-source, low-code machine learning library in Python. MIT

- [GitHub](https://github.com/pycaret/pycaret) (👨‍💻 140 · 🔀 1.8K · 📥 730 · 📦 7.9K · 📋 2.3K - 16% open · ⏱️ 06.03.2025):

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

- [PyPi](https://pypi.org/project/pycaret) (📥 320K / month · 📦 31 · ⏱️ 28.04.2024):

pip install pycaret

- [Conda](https://anaconda.org/conda-forge/pycaret) (📥 77K · ⏱️ 22.04.2025):

conda install -c conda-forge pycaret

ClearML (🥈34 · ⭐ 6.3K) - ClearML - Auto-Magical CI/CD to streamline your AI workload... Apache-2

- [GitHub](https://github.com/clearml/clearml) (👨‍💻 100 · 🔀 710 · 📥 3.4K · 📦 1.9K · 📋 1.2K - 44% open · ⏱️ 07.10.2025):

git clone https://github.com/allegroai/clearml

- [PyPi](https://pypi.org/project/clearml) (📥 480K / month · 📦 78 · ⏱️ 24.07.2025):

pip install clearml

- [Docker Hub](https://hub.docker.com/r/allegroai/trains) (📥 31K · ⏱️ 05.10.2020):

docker pull allegroai/trains

snakemake (🥈34 · ⭐ 2.6K) - This is the development home of the workflow management system.. MIT

- [GitHub](https://github.com/snakemake/snakemake) (👨‍💻 380 · 🔀 610 · 📦 2.5K · 📋 2.1K - 58% open · ⏱️ 08.10.2025):

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

- [PyPi](https://pypi.org/project/snakemake) (📥 170K / month · 📦 310 · ⏱️ 04.10.2025):

pip install snakemake

- [Conda](https://anaconda.org/bioconda/snakemake) (📥 1.5M · ⏱️ 04.10.2025):

conda install -c bioconda snakemake

kaggle (🥈32 · ⭐ 6.9K) - Official Kaggle API. Apache-2

- [GitHub](https://github.com/Kaggle/kaggle-api) (👨‍💻 49 · 🔀 1.2K · 📦 21 · 📋 520 - 26% open · ⏱️ 26.09.2025):

git clone https://github.com/Kaggle/kaggle-api

- [PyPi](https://pypi.org/project/kaggle) (📥 820K / month · 📦 240 · ⏱️ 08.05.2025):

pip install kaggle

- [Conda](https://anaconda.org/conda-forge/kaggle) (📥 250K · ⏱️ 11.08.2025):

conda install -c conda-forge kaggle

aim (🥈32 · ⭐ 5.8K) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2

- [GitHub](https://github.com/aimhubio/aim) (👨‍💻 82 · 🔀 350 · 📦 960 · 📋 1.1K - 37% open · ⏱️ 26.06.2025):

git clone https://github.com/aimhubio/aim

- [PyPi](https://pypi.org/project/aim) (📥 110K / month · 📦 56 · ⏱️ 11.06.2025):

pip install aim

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

conda install -c conda-forge aim

AzureML SDK (🥈31 · ⭐ 4.3K · 💤) - 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) (📥 2.1M / 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 · 🔀 390 · 📦 3.6K · 📋 560 - 18% open · ⏱️ 05.09.2025):

git clone https://github.com/IDSIA/sacred

- [PyPi](https://pypi.org/project/sacred) (📥 66K / month · 📦 60 · ⏱️ 26.11.2024):

pip install sacred

- [Conda](https://anaconda.org/conda-forge/sacred) (📥 9.8K · ⏱️ 22.04.2025):

conda install -c conda-forge sacred

VisualDL (🥈29 · ⭐ 4.8K · 💤) - Deep Learning Visualization Toolkit. Apache-2

- [GitHub](https://github.com/PaddlePaddle/VisualDL) (👨‍💻 36 · 🔀 630 · 📥 530 · 📦 3.6K · 📋 510 - 30% open · ⏱️ 22.01.2025):

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

- [PyPi](https://pypi.org/project/visualdl) (📥 230K / month · 📦 82 · ⏱️ 30.10.2024):

pip install visualdl

Neptune.ai (🥈29 · ⭐ 620) - The experiment tracker for foundation model training. Apache-2

- [GitHub](https://github.com/neptune-ai/neptune-client) (👨‍💻 57 · 🔀 65 · 📦 920 · 📋 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) (📥 380K · ⏱️ 22.04.2025):

conda install -c conda-forge neptune-client

TNT (🥉28 · ⭐ 1.7K) - A lightweight library for PyTorch training tools and utilities. BSD-3

- [GitHub](https://github.com/meta-pytorch/tnt) (👨‍💻 150 · 🔀 290 · 📋 150 - 56% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/torchnet) (📥 16K / month · 📦 24 · ⏱️ 29.07.2018):

pip install torchnet

Labml (🥉25 · ⭐ 2.2K) - Monitor deep learning model training and hardware usage from your mobile.. MIT

- [GitHub](https://github.com/labmlai/labml) (👨‍💻 9 · 🔀 140 · 📦 240 · 📋 50 - 12% open · ⏱️ 10.04.2025):

git clone https://github.com/labmlai/labml

- [PyPi](https://pypi.org/project/labml) (📥 10K / month · 📦 14 · ⏱️ 15.09.2024):

pip install labml

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) (📥 21K / month · 📦 16 · ⏱️ 03.01.2025):

pip install livelossplot

ml-metadata (🥉25 · ⭐ 660) - For recording and retrieving metadata associated with ML.. Apache-2

- [GitHub](https://github.com/google/ml-metadata) (👨‍💻 23 · 🔀 170 · 📥 3K · 📦 720 · 📋 130 - 41% open · ⏱️ 03.04.2025):

git clone https://github.com/google/ml-metadata

- [PyPi](https://pypi.org/project/ml-metadata) (📥 48K / month · 📦 32 · ⏱️ 07.04.2025):

pip install ml-metadata

quinn (🥉24 · ⭐ 670 · 💤) - pyspark methods to enhance developer productivity. Apache-2

- [GitHub](https://github.com/mrpowers-io/quinn) (👨‍💻 31 · 🔀 98 · 📥 69 · 📦 94 · 📋 130 - 27% open · ⏱️ 06.12.2024):

git clone https://github.com/MrPowers/quinn

- [PyPi](https://pypi.org/project/quinn) (📥 700K / month · 📦 7 · ⏱️ 13.02.2024):

pip install quinn

gokart (🥉24 · ⭐ 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) (📥 6.1K / month · 📦 8 · ⏱️ 18.06.2025):

pip install gokart

Guild AI (🥉23 · ⭐ 890) - Experiment tracking, ML developer tools. Apache-2

- [GitHub](https://github.com/guildai/guildai) (👨‍💻 30 · 🔀 90 · 📥 32 · 📦 110 · 📋 440 - 50% open · ⏱️ 29.04.2025):

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

- [PyPi](https://pypi.org/project/guildai) (📥 3K / month · ⏱️ 11.05.2022):

pip install guildai

TensorWatch (🥉22 · ⭐ 3.5K) - Debugging, monitoring and visualization for Python Machine Learning.. MIT

- [GitHub](https://github.com/microsoft/tensorwatch) (👨‍💻 15 · 🔀 360 · 📦 160 · 📋 70 - 75% open · ⏱️ 27.09.2025):

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

- [PyPi](https://pypi.org/project/tensorwatch) (📥 2.7K / month · 📦 7 · ⏱️ 04.03.2020):

pip install tensorwatch

keepsake (🥉18 · ⭐ 1.7K · 💤) - Version control for machine learning. Apache-2

- [GitHub](https://github.com/replicate/keepsake) (👨‍💻 18 · 🔀 71 · 📋 190 - 65% open · ⏱️ 03.12.2024):

git clone https://github.com/replicate/keepsake

- [PyPi](https://pypi.org/project/keepsake) (📥 900 / month · 📦 1 · ⏱️ 25.01.2021):

pip install keepsake

datmo (🥉18 · ⭐ 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) (📥 220 / month · ⏱️ 07.12.2018):

pip install datmo

CometML (🥉16) - Supercharging Machine Learning. MIT

- [GitHub]():

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

- [PyPi](https://pypi.org/project/comet_ml) (📥 490K / month · 📦 99 · ⏱️ 09.10.2025):

pip install comet_ml

- [Conda](https://anaconda.org/anaconda/comet_ml):

conda install -c anaconda comet_ml

Show 13 hidden projects...

- Catalyst (🥉28 · ⭐ 3.4K · 💀) - Accelerated deep learning R&D. Apache-2 - knockknock (🥉25 · ⭐ 2.8K · 💀) - Knock Knock: Get notified when your training ends with only two.. MIT - hiddenlayer (🥉23 · ⭐ 1.9K · 💀) - Neural network graphs and training metrics for.. MIT - SKLL (🥉22 · ⭐ 560 · 💤) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. ❗Unlicensed - TensorBoard Logger (🥉21 · ⭐ 630 · 💀) - Log TensorBoard events without touching TensorFlow. MIT - Studio.ml (🥉21 · ⭐ 380 · 💀) - Studio: Simplify and expedite model building process. Apache-2 - lore (🥉20 · ⭐ 1.5K · 💀) - Lore makes machine learning approachable for Software Engineers and.. MIT - chitra (🥉17 · ⭐ 230) - A multi-functional library for full-stack Deep Learning. Simplifies.. Apache-2 - steppy (🥉17 · ⭐ 140 · 💀) - Lightweight, Python library for fast and reproducible experimentation. MIT - MXBoard (🥉16 · ⭐ 320 · 💀) - Logging MXNet data for visualization in TensorBoard. Apache-2 - caliban (🥉15 · ⭐ 500 · 💀) - Research workflows made easy, locally and in the Cloud. Apache-2 - ModelChimp (🥉11 · ⭐ 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 (🥇45 · ⭐ 17K) - Development repository for the Triton language and compiler. MIT

- [GitHub](https://github.com/triton-lang/triton) (👨‍💻 470 · 🔀 2.1K · 📥 1.1K · 📦 74K · 📋 1.9K - 41% open · ⏱️ 09.10.2025):

git clone https://github.com/openai/triton

- [PyPi](https://pypi.org/project/triton) (📥 38M / month · 📦 470 · ⏱️ 30.07.2025):

pip install triton

onnx (🥇43 · ⭐ 20K) - Open standard for machine learning interoperability. Apache-2

- [GitHub](https://github.com/onnx/onnx) (👨‍💻 360 · 🔀 3.8K · 📥 25K · 📦 49K · 📋 3.1K - 9% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/onnx) (📥 12M / month · 📦 1.6K · ⏱️ 26.09.2025):

pip install onnx

- [Conda](https://anaconda.org/conda-forge/onnx) (📥 2.1M · ⏱️ 07.10.2025):

conda install -c conda-forge onnx

huggingface_hub (🥈40 · ⭐ 3K) - The official Python client for the Hugging Face Hub. Apache-2

- [GitHub](https://github.com/huggingface/huggingface_hub) (👨‍💻 270 · 🔀 810 · 📋 1.3K - 11% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/huggingface_hub) (📥 120M / month · 📦 4K · ⏱️ 08.10.2025):

pip install huggingface_hub

- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (📥 4.1M · ⏱️ 29.09.2025):

conda install -c conda-forge huggingface_hub

BentoML (🥈36 · ⭐ 8.1K) - The easiest way to serve AI apps and models - Build Model Inference.. Apache-2

- [GitHub](https://github.com/bentoml/BentoML) (👨‍💻 260 · 🔀 880 · 📥 140 · 📦 2.8K · 📋 1.1K - 12% open · ⏱️ 08.10.2025):

git clone https://github.com/bentoml/BentoML

- [PyPi](https://pypi.org/project/bentoml) (📥 130K / month · 📦 44 · ⏱️ 24.09.2025):

pip install bentoml

Core ML Tools (🥈35 · ⭐ 5K) - Core ML tools contain supporting tools for Core ML model.. BSD-3

- [GitHub](https://github.com/apple/coremltools) (👨‍💻 200 · 🔀 710 · 📥 15K · 📦 5.1K · 📋 1.6K - 26% open · ⏱️ 22.09.2025):

git clone https://github.com/apple/coremltools

- [PyPi](https://pypi.org/project/coremltools) (📥 1.2M / month · 📦 110 · ⏱️ 28.07.2025):

pip install coremltools

- [Conda](https://anaconda.org/conda-forge/coremltools) (📥 110K · ⏱️ 02.10.2025):

conda install -c conda-forge coremltools

TorchServe (🥈33 · ⭐ 4.4K · 💤) - Serve, optimize and scale PyTorch models in production. Apache-2

- [GitHub](https://github.com/pytorch/serve) (👨‍💻 220 · 🔀 890 · 📥 8K · 📦 900 · 📋 1.7K - 25% open · ⏱️ 17.03.2025):

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

- [PyPi](https://pypi.org/project/torchserve) (📥 110K / month · 📦 26 · ⏱️ 30.09.2024):

pip install torchserve

- [Conda](https://anaconda.org/pytorch/torchserve) (📥 550K · ⏱️ 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 (🥈29 · ⭐ 1.7K) - Machine learning on FPGAs using HLS. Apache-2

- [GitHub](https://github.com/fastmachinelearning/hls4ml) (👨‍💻 81 · 🔀 440 · 📦 51 · 📋 480 - 41% open · ⏱️ 23.09.2025):

git clone https://github.com/fastmachinelearning/hls4ml

- [PyPi](https://pypi.org/project/hls4ml) (📥 2.5K / month · 📦 1 · ⏱️ 17.03.2025):

pip install hls4ml

- [Conda](https://anaconda.org/conda-forge/hls4ml) (📥 12K · ⏱️ 22.04.2025):

conda install -c conda-forge hls4ml

mmdnn (🥈25 · ⭐ 5.8K) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT

- [GitHub](https://github.com/microsoft/MMdnn) (👨‍💻 86 · 🔀 960 · 📥 3.9K · 📦 160 · 📋 630 - 53% open · ⏱️ 07.08.2025):

git clone https://github.com/Microsoft/MMdnn

- [PyPi](https://pypi.org/project/mmdnn) (📥 450 / month · ⏱️ 24.07.2020):

pip install mmdnn

Hummingbird (🥉23 · ⭐ 3.5K) - Hummingbird compiles trained ML models into tensor computation for.. MIT

- [GitHub](https://github.com/microsoft/hummingbird) (👨‍💻 40 · 🔀 290 · 📥 920 · 📋 330 - 21% open · ⏱️ 17.07.2025):

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

- [PyPi](https://pypi.org/project/hummingbird-ml) (📥 9.2K / month · 📦 7 · ⏱️ 25.10.2024):

pip install hummingbird-ml

- [Conda](https://anaconda.org/conda-forge/hummingbird-ml) (📥 63K · ⏱️ 22.04.2025):

conda install -c conda-forge hummingbird-ml

tfdeploy (🥉15 · ⭐ 360 · 💤) - 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) (📥 72 / month · ⏱️ 30.03.2017):

pip install tfdeploy

Show 10 hidden projects...

- 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 - nebullvm (🥉21 · ⭐ 8.4K · 💀) - A collection of libraries to optimise AI model performances. Apache-2 - Larq Compute Engine (🥉20 · ⭐ 250) - Highly optimized inference engine for Binarized.. Apache-2 - pytorch2keras (🥉19 · ⭐ 860 · 💀) - PyTorch to Keras model convertor. MIT - OMLT (🥉19 · ⭐ 330) - Represent trained machine learning models as Pyomo optimization.. ❗Unlicensed - modelkit (🥉17 · ⭐ 150 · 💀) - Toolkit for developing and maintaining ML models. MIT - backprop (🥉14 · ⭐ 240 · 💀) - Backprop makes it simple to use, finetune, and deploy state-of-.. Apache-2 - ml-ane-transformers (🥉13 · ⭐ 2.7K · 💀) - Reference implementation of the Transformer.. ❗Unlicensed

Model Interpretability¶

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

shap (🥇42 · ⭐ 25K) - A game theoretic approach to explain the output of any machine learning model. MIT

- [GitHub](https://github.com/shap/shap) (👨‍💻 280 · 🔀 3.4K · 📦 35K · 📋 2.7K - 23% open · ⏱️ 07.10.2025):

git clone https://github.com/slundberg/shap

- [PyPi](https://pypi.org/project/shap) (📥 9.5M / month · 📦 1K · ⏱️ 12.06.2025):

pip install shap

- [Conda](https://anaconda.org/conda-forge/shap) (📥 7.4M · ⏱️ 17.06.2025):

conda install -c conda-forge shap

Netron (🥇36 · ⭐ 32K) - Visualizer for neural network, deep learning and machine learning.. MIT

- [GitHub](https://github.com/lutzroeder/netron) (👨‍💻 2 · 🔀 3K · 📥 150K · 📦 13 · 📋 1.2K - 1% open · ⏱️ 09.10.2025):

git clone https://github.com/lutzroeder/netron

- [PyPi](https://pypi.org/project/netron) (📥 43K / month · 📦 92 · ⏱️ 03.10.2025):

pip install netron

arviz (🥇36 · ⭐ 1.7K) - Exploratory analysis of Bayesian models with Python. Apache-2

- [GitHub](https://github.com/arviz-devs/arviz) (👨‍💻 180 · 🔀 450 · 📥 190 · 📦 11K · 📋 900 - 19% open · ⏱️ 02.10.2025):

git clone https://github.com/arviz-devs/arviz

- [PyPi](https://pypi.org/project/arviz) (📥 3.3M / month · 📦 410 · ⏱️ 09.07.2025):

pip install arviz

- [Conda](https://anaconda.org/conda-forge/arviz) (📥 2.5M · ⏱️ 10.07.2025):

conda install -c conda-forge arviz

evaluate (🥇34 · ⭐ 2.3K · 📉) - Evaluate: A library for easily evaluating machine learning.. Apache-2

- [GitHub](https://github.com/huggingface/evaluate) (👨‍💻 130 · 🔀 290 · 📦 23K · 📋 390 - 62% open · ⏱️ 25.09.2025):

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

- [PyPi](https://pypi.org/project/evaluate) (📥 3.7M / month · 📦 660 · ⏱️ 18.09.2025):

pip install evaluate

InterpretML (🥇33 · ⭐ 6.7K) - Fit interpretable models. Explain blackbox machine learning. MIT

- [GitHub](https://github.com/interpretml/interpret) (👨‍💻 53 · 🔀 760 · 📦 920 · 📋 480 - 22% open · ⏱️ 03.10.2025):

git clone https://github.com/interpretml/interpret

- [PyPi](https://pypi.org/project/interpret) (📥 230K / month · 📦 53 · ⏱️ 05.08.2025):

pip install interpret

Captum (🥇33 · ⭐ 5.4K · 📉) - Model interpretability and understanding for PyTorch. BSD-3

- [GitHub](https://github.com/meta-pytorch/captum) (👨‍💻 140 · 🔀 540 · 📦 3.5K · 📋 600 - 41% open · ⏱️ 02.10.2025):

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

- [PyPi](https://pypi.org/project/captum) (📥 420K / 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

shapash (🥈31 · ⭐ 3K) - Shapash: User-friendly Explainability and Interpretability to.. Apache-2

- [GitHub](https://github.com/MAIF/shapash) (👨‍💻 43 · 🔀 350 · 📦 200 · 📋 240 - 16% open · ⏱️ 03.10.2025):

git clone https://github.com/MAIF/shapash

- [PyPi](https://pypi.org/project/shapash) (📥 8.4K / month · 📦 4 · ⏱️ 24.07.2025):

pip install shapash

DoWhy (🥈29 · ⭐ 7.8K) - DoWhy is a Python library for causal inference that supports explicit.. MIT

- [GitHub](https://github.com/py-why/dowhy) (👨‍💻 100 · 🔀 980 · 📥 43 · 📦 660 · 📋 510 - 27% open · ⏱️ 26.08.2025):

git clone https://github.com/py-why/dowhy

- [PyPi](https://pypi.org/project/dowhy) (📥 85K / month · 📦 28 · ⏱️ 12.07.2025):

pip install dowhy

- [Conda](https://anaconda.org/conda-forge/dowhy) (📥 50K · ⏱️ 13.07.2025):

conda install -c conda-forge dowhy

explainerdashboard (🥈29 · ⭐ 2.4K) - Quickly build Explainable AI dashboards that show the inner.. MIT

- [GitHub](https://github.com/oegedijk/explainerdashboard) (👨‍💻 23 · 🔀 340 · 📦 650 · 📋 240 - 16% open · ⏱️ 01.08.2025):

git clone https://github.com/oegedijk/explainerdashboard

- [PyPi](https://pypi.org/project/explainerdashboard) (📥 41K / month · 📦 15 · ⏱️ 03.06.2025):

pip install explainerdashboard

- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (📥 74K · ⏱️ 04.06.2025):

conda install -c conda-forge explainerdashboard

dtreeviz (🥈28 · ⭐ 3.1K · 💤) - A python library for decision tree visualization and model.. MIT

- [GitHub](https://github.com/parrt/dtreeviz) (👨‍💻 27 · 🔀 340 · 📦 1.6K · 📋 210 - 35% open · ⏱️ 06.03.2025):

git clone https://github.com/parrt/dtreeviz

- [PyPi](https://pypi.org/project/dtreeviz) (📥 120K / month · 📦 53 · ⏱️ 07.07.2022):

pip install dtreeviz

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

conda install -c conda-forge dtreeviz

fairlearn (🥈28 · ⭐ 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 · ⏱️ 15.09.2025):

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

- [PyPi](https://pypi.org/project/fairlearn) (📥 200K / month · 📦 63 · ⏱️ 11.12.2024):

pip install fairlearn

- [Conda](https://anaconda.org/conda-forge/fairlearn) (📥 54K · ⏱️ 22.04.2025):

conda install -c conda-forge fairlearn

imodels (🥈27 · ⭐ 1.5K) - Interpretable ML package for concise, transparent, and accurate.. MIT

- [GitHub](https://github.com/csinva/imodels) (👨‍💻 27 · 🔀 130 · 📦 130 · 📋 98 - 38% open · ⏱️ 26.08.2025):

git clone https://github.com/csinva/imodels

- [PyPi](https://pypi.org/project/imodels) (📥 34K / month · 📦 12 · ⏱️ 26.08.2025):

pip install imodels

Model Analysis (🥈27 · ⭐ 1.3K) - Model analysis tools for TensorFlow. Apache-2

- [GitHub](https://github.com/tensorflow/model-analysis) (👨‍💻 61 · 🔀 280 · 📋 97 - 39% open · ⏱️ 06.08.2025):

git clone https://github.com/tensorflow/model-analysis

- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (📥 52K / month · 📦 20 · ⏱️ 23.06.2025):

pip install tensorflow-model-analysis

Fairness 360 (🥈26 · ⭐ 2.7K · 💤) - A comprehensive set of fairness metrics for datasets and.. Apache-2

- [GitHub](https://github.com/Trusted-AI/AIF360) (👨‍💻 72 · 🔀 870 · 📦 740 · 📋 300 - 65% open · ⏱️ 10.12.2024):

git clone https://github.com/Trusted-AI/AIF360

- [PyPi](https://pypi.org/project/aif360) (📥 39K / month · 📦 32 · ⏱️ 08.04.2024):

pip install aif360

- [Conda](https://anaconda.org/conda-forge/aif360) (📥 28K · ⏱️ 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) (📥 7.8K / month · 📦 3 · ⏱️ 20.12.2024):

pip install lit-nlp

- [Conda](https://anaconda.org/conda-forge/lit-nlp) (📥 130K · ⏱️ 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 · 🔀 430 · 📋 330 - 28% open · ⏱️ 07.02.2025):

git clone https://github.com/microsoft/responsible-ai-toolbox

- [PyPi](https://pypi.org/project/raiwidgets) (📥 11K / month · 📦 6 · ⏱️ 08.07.2024):

pip install raiwidgets

aequitas (🥉25 · ⭐ 730 · 💤) - 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) (📥 20K / 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) (👨‍💻 41 · 🔀 310 · 📦 170 · 📋 86 - 62% open · ⏱️ 26.02.2025):

git clone https://github.com/Trusted-AI/AIX360

- [PyPi](https://pypi.org/project/aix360) (📥 2.9K / month · 📦 1 · ⏱️ 31.07.2023):

pip install aix360

keract (🥉24 · ⭐ 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) (📥 12K / month · 📦 7 · ⏱️ 07.04.2025):

pip install keract

DiCE (🥉23 · ⭐ 1.4K) - Generate Diverse Counterfactual Explanations for any machine.. MIT

- [GitHub](https://github.com/interpretml/DiCE) (👨‍💻 23 · 🔀 210 · 📋 190 - 49% open · ⏱️ 13.07.2025):

git clone https://github.com/interpretml/DiCE

- [PyPi](https://pypi.org/project/dice-ml) (📥 93K / month · 📦 13 · ⏱️ 13.07.2025):

pip install dice-ml

fairness-indicators (🥉21 · ⭐ 350) - Tensorflows Fairness Evaluation and Visualization.. Apache-2

- [GitHub](https://github.com/tensorflow/fairness-indicators) (👨‍💻 39 · 🔀 86 · 📋 45 - 77% open · ⏱️ 04.08.2025):

git clone https://github.com/tensorflow/fairness-indicators

- [PyPi](https://pypi.org/project/fairness-indicators) (📥 1.3K / month · ⏱️ 25.06.2025):

pip install fairness-indicators

LOFO (🥉19 · ⭐ 840 · 💤) - Leave One Feature Out Importance. MIT

- [GitHub](https://github.com/aerdem4/lofo-importance) (👨‍💻 6 · 🔀 87 · 📦 42 · 📋 30 - 13% open · ⏱️ 14.02.2025):

git clone https://github.com/aerdem4/lofo-importance

- [PyPi](https://pypi.org/project/lofo-importance) (📥 1.4K / month · 📦 5 · ⏱️ 14.02.2025):

pip install lofo-importance

random-forest-importances (🥉19 · ⭐ 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) (📥 19K / month · 📦 5 · ⏱️ 28.01.2021):

pip install rfpimp

Show 32 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 - yellowbrick (🥈27 · ⭐ 4.4K · 💀) - Visual analysis and diagnostic tools to facilitate.. Apache-2 - Deep Checks (🥈27 · ⭐ 3.9K) - Deepchecks: Tests for Continuous Validation of ML Models &.. ❗️AGPL-3.0 - Alibi (🥈27 · ⭐ 2.6K) - Algorithms for explaining machine learning models. ❗️Intel - scikit-plot (🥈27 · ⭐ 2.4K · 💀) - An intuitive library to add plotting functionality to.. MIT - eli5 (🥈26 · ⭐ 2.8K · 💀) - A library for debugging/inspecting machine learning classifiers and.. MIT - 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 - keras-vis (🥉25 · ⭐ 3K · 💀) - Neural network visualization toolkit for keras. MIT - DALEX (🥉25 · ⭐ 1.4K) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0 - CausalNex (🥉24 · ⭐ 2.4K · 💀) - A Python library that helps data scientists to infer.. Apache-2 - checklist (🥉24 · ⭐ 2K · 💀) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList. MIT - What-If Tool (🥉23 · ⭐ 970 · 💀) - Source code/webpage/demos for the What-If Tool. Apache-2 - Quantus (🥉23 · ⭐ 620) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. ❗️GPL-3.0 - tf-explain (🥉22 · ⭐ 1K · 💀) - Interpretability Methods for tf.keras models with Tensorflow.. MIT - deeplift (🥉22 · ⭐ 860 · 💀) - Public facing deeplift repo. MIT - TreeInterpreter (🥉22 · ⭐ 760 · 💀) - Package for interpreting scikit-learns decision tree.. BSD-3 - XAI (🥉20 · ⭐ 1.2K · 💀) - XAI - An eXplainability toolbox for machine learning. MIT - tcav (🥉20 · ⭐ 640 · 💀) - Code for the TCAV ML interpretability project. Apache-2 - ecco (🥉19 · ⭐ 2.1K · 💀) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3 - sklearn-evaluation (🥉17 · ⭐ 460 · 💀) - Machine learning model evaluation made easy: plots,.. MIT - model-card-toolkit (🥉17 · ⭐ 440 · 💀) - A toolkit that streamlines and automates the.. Apache-2 - Anchor (🥉16 · ⭐ 810 · 💀) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 - FlashTorch (🥉16 · ⭐ 740 · 💀) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT - ExplainX.ai (🥉15 · ⭐ 440 · 💀) - Explainable AI framework for data scientists. Explain & debug any.. 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 - effector (🥉14 · ⭐ 120 · 📉) - Effector - a Python package for global and regional effect methods. 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 · ⭐ 45 · 💀) - 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 ( ⭐ 5.5K) - Benchmarks of approximate nearest neighbor libraries in Python.

Milvus (🥇43 · ⭐ 38K) - Milvus is a high-performance, cloud-native vector database built for.. Apache-2

- [GitHub](https://github.com/milvus-io/milvus) (👨‍💻 330 · 🔀 3.5K · 📥 310K · 📋 14K - 5% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/pymilvus) (📥 8.7M / month · 📦 350 · ⏱️ 19.09.2025):

pip install pymilvus

- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (📥 71M · ⭐ 89 · ⏱️ 09.10.2025):

docker pull milvusdb/milvus

Faiss (🥇42 · ⭐ 37K) - A library for efficient similarity search and clustering of dense vectors. MIT

- [GitHub](https://github.com/facebookresearch/faiss) (👨‍💻 250 · 🔀 4K · 📦 5K · 📋 2.7K - 9% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/pymilvus) (📥 8.7M / month · 📦 350 · ⏱️ 19.09.2025):

pip install pymilvus

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

conda install -c conda-forge faiss

USearch (🥈33 · ⭐ 3.2K) - Fast Open-Source Search & Clustering engine for Vectors & Arbitrary.. Apache-2

- [GitHub](https://github.com/unum-cloud/usearch) (👨‍💻 81 · 🔀 220 · 📥 93K · 📦 210 · 📋 240 - 32% open · ⏱️ 04.09.2025):

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

- [PyPi](https://pypi.org/project/usearch) (📥 150K / month · 📦 44 · ⏱️ 04.09.2025):

pip install usearch

- [npm](https://www.npmjs.com/package/usearch) (📥 18K / month · 📦 22 · ⏱️ 04.09.2025):

npm install usearch

- [Docker Hub](https://hub.docker.com/r/unum/usearch) (📥 440 · ⭐ 1 · ⏱️ 04.09.2025):

docker pull unum/usearch

PyNNDescent (🥉27 · ⭐ 950 · 💤) - A Python nearest neighbor descent for approximate nearest.. BSD-2

- [GitHub](https://github.com/lmcinnes/pynndescent) (👨‍💻 30 · 🔀 110 · 📦 13K · 📋 140 - 53% open · ⏱️ 10.11.2024):

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

- [PyPi](https://pypi.org/project/pynndescent) (📥 2.3M / 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 (🥉23 · ⭐ 1.3K) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2

- [GitHub](https://github.com/yahoojapan/NGT) (👨‍💻 19 · 🔀 120 · 📋 150 - 18% open · ⏱️ 03.09.2025):

git clone https://github.com/yahoojapan/NGT

- [PyPi](https://pypi.org/project/ngt) (📥 2.5K / month · 📦 12 · ⏱️ 26.02.2025):

pip install ngt

Show 7 hidden projects...

- Annoy (🥈35 · ⭐ 14K · 💀) - Approximate Nearest Neighbors in C++/Python optimized for memory.. Apache-2 - hnswlib (🥈32 · ⭐ 4.9K · 💀) - Header-only C++/python library for fast approximate nearest.. Apache-2 - NMSLIB (🥉31 · ⭐ 3.5K · 💀) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2 - NearPy (🥉22 · ⭐ 770 · 💀) - Python framework for fast (approximated) nearest neighbour search in.. MIT - N2 (🥉22 · ⭐ 580 · 💀) - TOROS N2 - lightweight approximate Nearest Neighbor library which runs.. Apache-2 - Magnitude (🥉20 · ⭐ 1.7K · 💀) - 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 · ⭐ 9.3K) - Bayesian Modeling and Probabilistic Programming in Python. Apache-2

- [GitHub](https://github.com/pymc-devs/pymc) (👨‍💻 530 · 🔀 2.1K · 📥 140 · 📦 7.7K · 📋 3.5K - 11% open · ⏱️ 23.09.2025):

git clone https://github.com/pymc-devs/pymc

- [PyPi](https://pypi.org/project/pymc3) (📥 380K / month · 📦 190 · ⏱️ 31.05.2024):

pip install pymc3

- [Conda](https://anaconda.org/conda-forge/pymc3) (📥 830K · ⏱️ 22.04.2025):

conda install -c conda-forge pymc3

tensorflow-probability (🥇35 · ⭐ 4.4K) - Probabilistic reasoning and statistical analysis in.. Apache-2

- [GitHub](https://github.com/tensorflow/probability) (👨‍💻 500 · 🔀 1.1K · 📦 4 · 📋 1.5K - 48% open · ⏱️ 02.10.2025):

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

- [PyPi](https://pypi.org/project/tensorflow-probability) (📥 1.3M / month · 📦 620 · ⏱️ 08.11.2024):

pip install tensorflow-probability

- [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (📥 200K · ⏱️ 22.04.2025):

conda install -c conda-forge tensorflow-probability

pgmpy (🥇34 · ⭐ 3.1K) - Python library for causal inference and probabilistic modeling. MIT

- [GitHub](https://github.com/pgmpy/pgmpy) (👨‍💻 170 · 🔀 860 · 📥 680 · 📦 1.7K · 📋 1.1K - 27% open · ⏱️ 08.10.2025):

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

- [PyPi](https://pypi.org/project/pgmpy) (📥 180K / month · 📦 72 · ⏱️ 31.03.2025):

pip install pgmpy

patsy (🥈33 · ⭐ 970) - Describing statistical models in Python using symbolic formulas. BSD-2

- [GitHub](https://github.com/pydata/patsy) (👨‍💻 23 · 🔀 100 · 📦 130K · 📋 160 - 47% open · ⏱️ 29.09.2025):

git clone https://github.com/pydata/patsy

- [PyPi](https://pypi.org/project/patsy) (📥 22M / month · 📦 530 · ⏱️ 12.11.2024):

pip install patsy

- [Conda](https://anaconda.org/conda-forge/patsy) (📥 18M · ⏱️ 22.04.2025):

conda install -c conda-forge patsy

Pyro (🥈32 · ⭐ 8.9K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2

- [GitHub](https://github.com/pyro-ppl/pyro) (👨‍💻 160 · 🔀 1K · 📋 1.1K - 24% open · ⏱️ 09.07.2025):

git clone https://github.com/pyro-ppl/pyro

- [PyPi](https://pypi.org/project/pyro-ppl) (📥 570K / month · 📦 190 · ⏱️ 02.06.2024):

pip install pyro-ppl

- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (📥 270K · ⏱️ 22.04.2025):

conda install -c conda-forge pyro-ppl

GPyTorch (🥈32 · ⭐ 3.8K) - A highly efficient implementation of Gaussian Processes in PyTorch. MIT

- [GitHub](https://github.com/cornellius-gp/gpytorch) (👨‍💻 140 · 🔀 560 · 📦 3K · 📋 1.4K - 27% open · ⏱️ 03.09.2025):

git clone https://github.com/cornellius-gp/gpytorch

- [PyPi](https://pypi.org/project/gpytorch) (📥 510K / month · 📦 190 · ⏱️ 29.01.2025):

pip install gpytorch

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

conda install -c conda-forge gpytorch

hmmlearn (🥈30 · ⭐ 3.2K · 💤) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3

- [GitHub](https://github.com/hmmlearn/hmmlearn) (👨‍💻 49 · 🔀 740 · 📦 3.7K · 📋 450 - 16% open · ⏱️ 31.10.2024):

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

- [PyPi](https://pypi.org/project/hmmlearn) (📥 220K / month · 📦 92 · ⏱️ 31.10.2024):

pip install hmmlearn

- [Conda](https://anaconda.org/conda-forge/hmmlearn) (📥 420K · ⏱️ 10.09.2025):

conda install -c conda-forge hmmlearn

GPflow (🥈30 · ⭐ 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) (📥 64K / month · 📦 43 · ⏱️ 29.05.2025):

pip install gpflow

- [Conda](https://anaconda.org/conda-forge/gpflow) (📥 50K · ⏱️ 22.04.2025):

conda install -c conda-forge gpflow

emcee (🥈30 · ⭐ 1.5K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT

- [GitHub](https://github.com/dfm/emcee) (👨‍💻 76 · 🔀 430 · 📦 3.1K · 📋 300 - 19% open · ⏱️ 09.10.2025):

git clone https://github.com/dfm/emcee

- [PyPi](https://pypi.org/project/emcee) (📥 230K / month · 📦 440 · ⏱️ 19.04.2024):

pip install emcee

- [Conda](https://anaconda.org/conda-forge/emcee) (📥 500K · ⏱️ 22.04.2025):

conda install -c conda-forge emcee

SALib (🥉29 · ⭐ 950) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT

- [GitHub](https://github.com/SALib/SALib) (👨‍💻 53 · 🔀 250 · 📦 1.6K · 📋 340 - 16% open · ⏱️ 27.06.2025):

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

- [PyPi](https://pypi.org/project/salib) (📥 240K / month · 📦 130 · ⏱️ 19.08.2024):

pip install salib

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

conda install -c conda-forge salib

bambi (🥉28 · ⭐ 1.2K) - BAyesian Model-Building Interface (Bambi) in Python. MIT

- [GitHub](https://github.com/bambinos/bambi) (👨‍💻 47 · 🔀 140 · 📦 220 · 📋 450 - 20% open · ⏱️ 09.10.2025):

git clone https://github.com/bambinos/bambi

- [PyPi](https://pypi.org/project/bambi) (📥 53K / month · 📦 14 · ⏱️ 21.12.2024):

pip install bambi

- [Conda](https://anaconda.org/conda-forge/bambi) (📥 56K · ⏱️ 22.04.2025):

conda install -c conda-forge bambi

pomegranate (🥉26 · ⭐ 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) (📥 45K / month · 📦 67 · ⏱️ 07.02.2025):

pip install pomegranate

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

conda install -c conda-forge pomegranate

scikit-posthocs (🥉25 · ⭐ 380) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT

- [GitHub](https://github.com/maximtrp/scikit-posthocs) (👨‍💻 18 · 🔀 41 · 📥 67 · 📦 1.2K · 📋 72 - 6% open · ⏱️ 11.09.2025):

git clone https://github.com/maximtrp/scikit-posthocs

- [PyPi](https://pypi.org/project/scikit-posthocs) (📥 140K / month · 📦 73 · ⏱️ 29.03.2025):

pip install scikit-posthocs

- [Conda](https://anaconda.org/conda-forge/scikit-posthocs) (📥 1.1M · ⏱️ 22.04.2025):

conda install -c conda-forge scikit-posthocs

pandas-ta (🥉23 · ⭐ 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) (📥 350K / month · 📦 190 · ⏱️ 14.09.2025):

pip install pandas-ta

- [Conda](https://anaconda.org/conda-forge/pandas-ta) (📥 37K · ⏱️ 23.09.2025):

conda install -c conda-forge pandas-ta

TorchUncertainty (🥉23 · ⭐ 440) - Open-source framework for uncertainty and deep.. Apache-2

- [GitHub](https://github.com/ENSTA-U2IS-AI/torch-uncertainty) (👨‍💻 13 · 🔀 36 · 📋 67 - 23% open · ⏱️ 31.07.2025):

git clone https://github.com/ENSTA-U2IS-AI/torch-uncertainty

- [PyPi](https://pypi.org/project/torch-uncertainty) (📥 1.3K / month · 📦 4 · ⏱️ 31.07.2025):

pip install torch-uncertainty

Baal (🥉22 · ⭐ 910) - Bayesian active learning library for research and industrial usecases. Apache-2

- [GitHub](https://github.com/baal-org/baal) (👨‍💻 24 · 🔀 87 · 📦 67 · 📋 120 - 18% open · ⏱️ 07.10.2025):

git clone https://github.com/baal-org/baal

- [PyPi](https://pypi.org/project/baal) (📥 1.9K / month · 📦 2 · ⏱️ 24.06.2025):

pip install baal

- [Conda](https://anaconda.org/conda-forge/baal) (📥 14K · ⏱️ 22.04.2025):

conda install -c conda-forge baal

Orbit (🥉21 · ⭐ 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) (📥 25K / month · 📦 1 · ⏱️ 01.04.2024):

pip install orbit-ml

pyhsmm (🥉21 · ⭐ 570 · 💤) - 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) (📥 1K / month · 📦 1 · ⏱️ 10.05.2017):

pip install pyhsmm

Show 6 hidden projects...

- filterpy (🥈31 · ⭐ 3.7K · 💀) - Python Kalman filtering and optimal estimation library. Implements.. MIT - pingouin (🥉29 · ⭐ 1.8K) - Statistical package in Python based on Pandas. ❗️GPL-3.0 - Edward (🥉28 · ⭐ 4.8K · 💀) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 - PyStan (🥉27 · ⭐ 360 · 💀) - PyStan, a Python interface to Stan, a platform for statistical.. ISC - Funsor (🥉21 · ⭐ 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 (🥇34 · ⭐ 5.6K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT

- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (👨‍💻 140 · 🔀 1.2K · 📦 770 · 📋 910 - 1% open · ⏱️ 09.10.2025):

git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox

- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (📥 37K / month · 📦 25 · ⏱️ 07.07.2025):

pip install adversarial-robustness-toolbox

- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (📥 83K · ⏱️ 07.07.2025):

conda install -c conda-forge adversarial-robustness-toolbox

TextAttack (🥈28 · ⭐ 3.3K) - TextAttack is a Python framework for adversarial attacks, data.. MIT

- [GitHub](https://github.com/QData/TextAttack) (👨‍💻 67 · 🔀 420 · 📦 420 · 📋 290 - 23% open · ⏱️ 10.07.2025):

git clone https://github.com/QData/TextAttack

- [PyPi](https://pypi.org/project/textattack) (📥 11K / 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 (🥈30 · ⭐ 6.4K · 💀) - 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 · ⭐ 1.4K · 💀) - 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 (🥉16 · ⭐ 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 (🥇36 · ⭐ 3.1K) - Accelerate inference and training of Transformers, Diffusers, TIMM.. Apache-2

- [GitHub](https://github.com/huggingface/optimum) (👨‍💻 150 · 🔀 600 · 📦 6.2K · 📋 860 - 30% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/optimum) (📥 2.9M / month · 📦 270 · ⏱️ 09.10.2025):

pip install optimum

- [Conda](https://anaconda.org/conda-forge/optimum) (📥 48K · ⏱️ 09.10.2025):

conda install -c conda-forge optimum

cuDF (🥇35 · ⭐ 9.2K) - cuDF - GPU DataFrame Library. Apache-2

- [GitHub](https://github.com/rapidsai/cudf) (👨‍💻 310 · 🔀 980 · 📦 64 · 📋 7.3K - 15% open · ⏱️ 09.10.2025):

git clone https://github.com/rapidsai/cudf

- [PyPi](https://pypi.org/project/cudf) (📥 3.5K / 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) (👨‍💻 83 · 🔀 290 · 📦 4K · 📋 290 - 29% open · ⏱️ 29.09.2025):

git clone https://github.com/inducer/pycuda

- [PyPi](https://pypi.org/project/pycuda) (📥 69K / month · 📦 200 · ⏱️ 09.09.2025):

pip install pycuda

- [Conda](https://anaconda.org/conda-forge/pycuda) (📥 1.1M · ⏱️ 10.09.2025):

conda install -c conda-forge pycuda

Apex (🥈32 · ⭐ 8.8K) - 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 - 57% open · ⏱️ 03.10.2025):

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

- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (📥 570K · ⏱️ 26.07.2025):

conda install -c conda-forge nvidia-apex

cuML (🥈31 · ⭐ 5K) - cuML - RAPIDS Machine Learning Library. Apache-2

- [GitHub](https://github.com/rapidsai/cuml) (👨‍💻 190 · 🔀 590 · 📋 2.9K - 31% open · ⏱️ 09.10.2025):

git clone https://github.com/rapidsai/cuml

- [PyPi](https://pypi.org/project/cuml) (📥 2.7K / month · 📦 14 · ⏱️ 01.06.2020):

pip install cuml

ArrayFire (🥈29 · ⭐ 4.8K) - ArrayFire: a general purpose GPU library. BSD-3

- [GitHub](https://github.com/arrayfire/arrayfire) (👨‍💻 97 · 🔀 540 · 📥 9.4K · 📋 1.8K - 19% open · ⏱️ 28.07.2025):

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

- [PyPi](https://pypi.org/project/arrayfire) (📥 9.9K / month · 📦 13 · ⏱️ 22.02.2022):

pip install arrayfire

gpustat (🥈29 · ⭐ 4.3K) - A simple command-line utility for querying and monitoring GPU status. MIT

- [GitHub](https://github.com/wookayin/gpustat) (👨‍💻 17 · 🔀 280 · 📦 7.8K · 📋 130 - 22% open · ⏱️ 13.04.2025):

git clone https://github.com/wookayin/gpustat

- [PyPi](https://pypi.org/project/gpustat) (📥 970K / 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 · ⭐ 2.1K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2

- [GitHub](https://github.com/rapidsai/cugraph) (👨‍💻 120 · 🔀 340 · 📋 1.9K - 6% open · ⏱️ 08.10.2025):

git clone https://github.com/rapidsai/cugraph

- [PyPi](https://pypi.org/project/cugraph) (📥 760 / month · 📦 4 · ⏱️ 01.06.2020):

pip install cugraph

- [Conda](https://anaconda.org/conda-forge/libcugraph) (📥 68K · ⏱️ 22.04.2025):

conda install -c conda-forge libcugraph

CuPy (🥉27 · ⭐ 11K) - NumPy & SciPy for GPU. MIT

- [GitHub](https://github.com/cupy/cupy) (👨‍💻 340 · 🔀 950):

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

- [PyPi](https://pypi.org/project/cupy) (📥 46K / month · 📦 400 · ⏱️ 18.08.2025):

pip install cupy

- [Conda](https://anaconda.org/conda-forge/cupy) (📥 7.1M · ⏱️ 14.09.2025):

conda install -c conda-forge cupy

- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (📥 91K · ⭐ 14 · ⏱️ 18.08.2025):

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 · 🔀 650 · 📋 1.7K - 15% open · ⏱️ 09.10.2025):

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

Vulkan Kompute (🥉24 · ⭐ 2.3K) - General purpose GPU compute framework built on Vulkan to.. Apache-2

- [GitHub](https://github.com/KomputeProject/kompute) (👨‍💻 35 · 🔀 160 · 📥 700 · 📋 230 - 32% open · ⏱️ 05.10.2025):

git clone https://github.com/KomputeProject/kompute

- [PyPi](https://pypi.org/project/kp) (📥 2.2K / month · ⏱️ 20.01.2024):

pip install kp

Show 9 hidden projects...

- GPUtil (🥉25 · ⭐ 1.2K · 💀) - A Python module for getting the GPU status from NVIDA GPUs using.. MIT - scikit-cuda (🥉25 · ⭐ 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 - Merlin (🥉20 · ⭐ 850 · 💀) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. 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 · ⭐ 730 · 💀) - GPU accelerated signal processing. ❗Unlicensed

Tensorflow Utilities¶

Libraries that extend TensorFlow with additional capabilities.

TensorFlow Datasets (🥇39 · ⭐ 4.5K) - TFDS is a collection of datasets ready to use with.. Apache-2

- [GitHub](https://github.com/tensorflow/datasets) (👨‍💻 650 · 🔀 1.6K · 📦 25K · 📋 1.5K - 47% open · ⏱️ 01.10.2025):

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

- [PyPi](https://pypi.org/project/tensorflow-datasets) (📥 1.7M / month · 📦 340 · ⏱️ 28.05.2025):

pip install tensorflow-datasets

- [Conda](https://anaconda.org/conda-forge/tensorflow-datasets) (📥 50K · ⏱️ 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) (📥 1.8M / month · 📦 300 · ⏱️ 30.01.2024):

pip install tensorflow-hub

- [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (📥 130K · ⏱️ 22.04.2025):

conda install -c conda-forge tensorflow-hub

TFX (🥈31 · ⭐ 2.2K · 💤) - TFX is an end-to-end platform for deploying production ML.. Apache-2

- [GitHub](https://github.com/tensorflow/tfx) (👨‍💻 190 · 🔀 710 · 📦 1.8K · 📋 1.2K - 22% open · ⏱️ 26.03.2025):

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

- [PyPi](https://pypi.org/project/tfx) (📥 30K / month · 📦 17 · ⏱️ 11.12.2024):

pip install tfx

TF Model Optimization (🥈29 · ⭐ 1.6K) - 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) (📥 730K / month · 📦 45 · ⏱️ 08.02.2024):

pip install tensorflow-model-optimization

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) (📥 730K / month · 📦 61 · ⏱️ 01.07.2024):

pip install tensorflow-io

TensorFlow Transform (🥉27 · ⭐ 990) - Input pipeline framework. Apache-2

- [GitHub](https://github.com/tensorflow/transform) (👨‍💻 31 · 🔀 220 · 📋 220 - 17% open · ⏱️ 06.08.2025):

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

- [PyPi](https://pypi.org/project/tensorflow-transform) (📥 240K / 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 · 📦 520 · 📋 69 - 1% open · ⏱️ 29.01.2025):

git clone https://github.com/tensorflow/neural-structured-learning

- [PyPi](https://pypi.org/project/neural-structured-learning) (📥 3.3K / month · 📦 3 · ⏱️ 29.07.2022):

pip install neural-structured-learning

TF Compression (🥉21 · ⭐ 900) - Data compression in TensorFlow. Apache-2

- [GitHub](https://github.com/tensorflow/compression) (👨‍💻 24 · 🔀 260 · 📋 100 - 10% open · ⏱️ 19.08.2025):

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

- [PyPi](https://pypi.org/project/tensorflow-compression) (📥 11K / month · 📦 2 · ⏱️ 02.02.2024):

pip install tensorflow-compression

TensorFlow Cloud (🥉21 · ⭐ 380) - The TensorFlow Cloud repository provides APIs that.. Apache-2

- [GitHub](https://github.com/tensorflow/cloud) (👨‍💻 29 · 🔀 92 · 📋 100 - 73% open · ⏱️ 01.10.2025):

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

- [PyPi](https://pypi.org/project/tensorflow-cloud) (📥 23K / month · 📦 7 · ⏱️ 17.06.2021):

pip install tensorflow-cloud

Show 7 hidden projects...

- tensor2tensor (🥇33 · ⭐ 17K · 💀) - 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 (🥉27 · ⭐ 1K · 💀) - Utilities for working with image data, text data, and.. MIT - efficientnet (🥉26 · ⭐ 2.1K · 💀) - Implementation of EfficientNet model. Keras and.. Apache-2 - Saliency (🥉22 · ⭐ 980 · 💀) - 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 (🥇33 · ⭐ 2.5K) - Elegant easy-to-use neural networks + scientific computing in.. Apache-2

- [GitHub](https://github.com/patrick-kidger/equinox) (👨‍💻 81 · 🔀 170 · 📦 1.4K · 📋 610 - 35% open · ⏱️ 09.10.2025):

git clone https://github.com/patrick-kidger/equinox

- [PyPi](https://pypi.org/project/equinox) (📥 520K / month · 📦 350 · ⏱️ 09.10.2025):

pip install equinox

Show 2 hidden projects...

- evojax (🥉18 · ⭐ 920 · 💀) - 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) (👨‍💻 86 · 🔀 180 · 📦 14K · 📋 250 - 16% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/scikit-learn-intelex) (📥 97K / month · 📦 67 · ⏱️ 18.08.2025):

pip install scikit-learn-intelex

- [Conda](https://anaconda.org/conda-forge/scikit-learn-intelex) (📥 640K · ⏱️ 22.08.2025):

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) (👨‍💻 89 · 🔀 1.3K · 📋 630 - 8% open · ⏱️ 14.08.2025):

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

- [PyPi](https://pypi.org/project/imbalanced-learn) (📥 17M / month · 📦 600 · ⏱️ 14.08.2025):

pip install imbalanced-learn

- [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (📥 750K · ⏱️ 14.08.2025):

conda install -c conda-forge imbalanced-learn

MLxtend (🥇33 · ⭐ 5.1K) - A library of extension and helper modules for Pythons data.. 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) (📥 920K / month · 📦 200 · ⏱️ 26.01.2025):

pip install mlxtend

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

conda install -c conda-forge mlxtend

category_encoders (🥈31 · ⭐ 2.5K · 💤) - A library of sklearn compatible categorical variable.. BSD-3

- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (👨‍💻 71 · 🔀 400 · 📦 4.1K · 📋 300 - 13% open · ⏱️ 24.03.2025):

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

- [PyPi](https://pypi.org/project/category_encoders) (📥 2.3M / month · 📦 310 · ⏱️ 15.03.2025):

pip install category_encoders

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

conda install -c conda-forge category_encoders

scikit-lego (🥈27 · ⭐ 1.4K) - Extra blocks for scikit-learn pipelines. MIT

- [GitHub](https://github.com/koaning/scikit-lego) (👨‍💻 68 · 🔀 120 · 📦 190 · 📋 340 - 9% open · ⏱️ 01.10.2025):

git clone https://github.com/koaning/scikit-lego

- [PyPi](https://pypi.org/project/scikit-lego) (📥 52K / month · 📦 13 · ⏱️ 15.09.2025):

pip install scikit-lego

- [Conda](https://anaconda.org/conda-forge/scikit-lego) (📥 75K · ⏱️ 22.04.2025):

conda install -c conda-forge scikit-lego

scikit-opt (🥉26 · ⭐ 5.6K) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT

- [GitHub](https://github.com/guofei9987/scikit-opt) (👨‍💻 24 · 🔀 1K · 📦 280 · 📋 180 - 37% open · ⏱️ 31.08.2025):

git clone https://github.com/guofei9987/scikit-opt

- [PyPi](https://pypi.org/project/scikit-opt) (📥 16K / month · 📦 15 · ⏱️ 14.01.2022):

pip install scikit-opt

iterative-stratification (🥉21 · ⭐ 880 · 💤) - scikit-learn cross validators for iterative.. BSD-3

- [GitHub](https://github.com/trent-b/iterative-stratification) (👨‍💻 7 · 🔀 75 · 📦 620 · 📋 27 - 7% open · ⏱️ 12.10.2024):

git clone https://github.com/trent-b/iterative-stratification

- [PyPi](https://pypi.org/project/iterative-stratification) (📥 55K / month · 📦 15 · ⏱️ 12.10.2024):

pip install iterative-stratification

Show 12 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 · ⭐ 950 · 💀) - A scikit-learn based module for multi-label et. al... BSD-2 - sklearn-crfsuite (🥉25 · ⭐ 430 · 💀) - scikit-learn inspired API for CRFsuite. MIT - skope-rules (🥉22 · ⭐ 650 · 💀) - 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 - scikit-tda (🥉19 · ⭐ 550 · 💀) - Topological Data Analysis for Python. MIT - dabl (🥉18 · ⭐ 730 · 💀) - Data Analysis Baseline Library. BSD-3 - DESlib (🥉18 · ⭐ 490 · 💀) - A Python library for dynamic classifier and ensemble selection. BSD-3 - skggm (🥉18 · ⭐ 250) - Scikit-learn compatible estimation of general graphical models. MIT

Pytorch Utilities¶

Libraries that extend Pytorch with additional capabilities.

accelerate (🥇43 · ⭐ 9.2K) - A simple way to launch, train, and use PyTorch models on.. Apache-2

- [GitHub](https://github.com/huggingface/accelerate) (👨‍💻 370 · 🔀 1.2K · 📦 100K · 📋 1.9K - 6% open · ⏱️ 08.10.2025):

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

- [PyPi](https://pypi.org/project/accelerate) (📥 16M / month · 📦 2.6K · ⏱️ 25.08.2025):

pip install accelerate

- [Conda](https://anaconda.org/conda-forge/accelerate) (📥 610K · ⏱️ 25.08.2025):

conda install -c conda-forge accelerate

tinygrad (🥇33 · ⭐ 30K) - You like pytorch? You like micrograd? You love tinygrad!. MIT

- [GitHub](https://github.com/tinygrad/tinygrad) (👨‍💻 420 · 🔀 3.6K · 📦 20 · 📋 1K - 13% open · ⏱️ 09.10.2025):

git clone https://github.com/geohot/tinygrad

PML (🥇33 · ⭐ 6.2K) - The easiest way to use deep metric learning in your application. Modular,.. MIT

- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (👨‍💻 45 · 🔀 660 · 📦 2.9K · 📋 530 - 14% open · ⏱️ 17.08.2025):

git clone https://github.com/KevinMusgrave/pytorch-metric-learning

- [PyPi](https://pypi.org/project/pytorch-metric-learning) (📥 2.1M / month · 📦 68 · ⏱️ 17.08.2025):

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 · ⭐ 6.2K) - Differentiable ODE solvers with full GPU support and.. MIT

- [GitHub](https://github.com/rtqichen/torchdiffeq) (👨‍💻 23 · 🔀 940 · 📦 5.5K · 📋 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) (📥 24K · ⏱️ 22.04.2025):

conda install -c conda-forge torchdiffeq

torchsde (🥈30 · ⭐ 1.7K · 💤) - Differentiable SDE solvers with GPU support and efficient.. Apache-2

- [GitHub](https://github.com/google-research/torchsde) (👨‍💻 9 · 🔀 210 · 📦 5.5K · 📋 84 - 36% open · ⏱️ 30.12.2024):

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

- [PyPi](https://pypi.org/project/torchsde) (📥 3.7M / month · 📦 37 · ⏱️ 26.09.2023):

pip install torchsde

- [Conda](https://anaconda.org/conda-forge/torchsde) (📥 45K · ⏱️ 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) (👨‍💻 34 · 🔀 200 · 📋 420 - 6% open · ⏱️ 12.08.2025):

git clone https://github.com/rusty1s/pytorch_scatter

- [PyPi](https://pypi.org/project/torch-scatter) (📥 90K / month · 📦 150 · ⏱️ 06.10.2023):

pip install torch-scatter

- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (📥 1M · ⏱️ 03.10.2025):

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) (👨‍💻 48 · 🔀 160 · 📋 300 - 10% open · ⏱️ 12.08.2025):

git clone https://github.com/rusty1s/pytorch_sparse

- [PyPi](https://pypi.org/project/torch-sparse) (📥 75K / month · 📦 120 · ⏱️ 06.10.2023):

pip install torch-sparse

- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (📥 920K · ⏱️ 03.10.2025):

conda install -c conda-forge pytorch_sparse

Pytorch Toolbelt (🥉23 · ⭐ 1.6K) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT

- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (👨‍💻 8 · 🔀 120 · 📥 180 · 📋 33 - 12% open · ⏱️ 12.09.2025):

git clone https://github.com/BloodAxe/pytorch-toolbelt

- [PyPi](https://pypi.org/project/pytorch_toolbelt) (📥 13K / month · 📦 12 · ⏱️ 21.11.2024):

pip install pytorch_toolbelt

madgrad (🥉17 · ⭐ 800 · 💤) - MADGRAD Optimization Method. MIT

- [GitHub](https://github.com/facebookresearch/madgrad) (👨‍💻 3 · 🔀 58 · 📦 110 · ⏱️ 27.01.2025):

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

- [PyPi](https://pypi.org/project/madgrad) (📥 7.1K / 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 · ⭐ 8.2K · 💀) - 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 (🥈26 · ⭐ 2.8K · 💀) - PyTorch implementation of TabNet paper :.. MIT - EfficientNets (🥈25 · ⭐ 1.6K · 💀) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2 - pytorch-summary (🥉24 · ⭐ 4.1K · 💀) - Model summary in PyTorch similar to `model.summary()`.. MIT - Higher (🥉23 · ⭐ 1.6K · 💀) - higher is a pytorch library allowing users to obtain higher.. Apache-2 - micrograd (🥉22 · ⭐ 13K · 💀) - 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 - Torchmeta (🥉22 · ⭐ 2K · 💀) - A collection of extensions and data-loaders for few-shot.. 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 - Poutyne (🥉21 · ⭐ 580) - A simplified framework and utilities for PyTorch. ❗️LGPL-3.0 - Performer Pytorch (🥉19 · ⭐ 1.2K · 💀) - An implementation of Performer, a linear attention-.. MIT - Torch-Struct (🥉19 · ⭐ 1.1K · 💀) - Fast, general, and tested differentiable structured.. MIT - Lambda Networks (🥉17 · ⭐ 1.5K · 💀) - Implementation of LambdaNetworks, a new approach to.. 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 - Tez (🥉14 · ⭐ 1.2K · 💀) - Tez is a super-simple and lightweight Trainer for PyTorch. It.. Apache-2 - Tensor Sensor (🥉14 · ⭐ 810 · 💀) - The goal of this library is to generate more helpful.. MIT

Database Clients¶

Libraries for connecting to, operating, and querying databases.

🔗 best-of-python - DB Clients ( ⭐ 4.2K) - Collection of database clients for python.

Others¶

scipy (🥇51 · ⭐ 14K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3

- [GitHub](https://github.com/scipy/scipy) (👨‍💻 1.8K · 🔀 5.5K · 📥 100K · 📦 1.4M · 📋 11K - 15% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/scipy) (📥 210M / month · 📦 60K · ⏱️ 11.09.2025):

pip install scipy

- [Conda](https://anaconda.org/conda-forge/scipy) (📥 69M · ⏱️ 12.09.2025):

conda install -c conda-forge scipy

SymPy (🥇49 · ⭐ 14K) - A computer algebra system written in pure Python. BSD-3

- [GitHub](https://github.com/sympy/sympy) (👨‍💻 1.4K · 🔀 4.8K · 📥 570K · 📦 290K · 📋 15K - 37% open · ⏱️ 02.10.2025):

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

- [PyPi](https://pypi.org/project/sympy) (📥 69M / month · 📦 4.6K · ⏱️ 27.04.2025):

pip install sympy

- [Conda](https://anaconda.org/conda-forge/sympy) (📥 10M · ⏱️ 29.04.2025):

conda install -c conda-forge sympy

Streamlit (🥇47 · ⭐ 42K) - Streamlit A faster way to build and share data apps. Apache-2

- [GitHub](https://github.com/streamlit/streamlit) (👨‍💻 550 · 🔀 3.8K · 📦 1M · 📋 5.7K - 22% open · ⏱️ 09.10.2025):

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

- [PyPi](https://pypi.org/project/streamlit) (📥 17M / month · 📦 4.5K · ⏱️ 23.09.2025):

pip install streamlit

Gradio (🥇46 · ⭐ 40K) - Wrap UIs around any model, share with anyone. Apache-2

- [GitHub](https://github.com/gradio-app/gradio) (👨‍💻 700 · 🔀 3.1K · 📦 83K · 📋 6.1K - 6% open · ⏱️ 08.10.2025):

git clone https://github.com/gradio-app/gradio

- [PyPi](https://pypi.org/project/gradio) (📥 9.6M / month · 📦 1.6K · ⏱️ 08.10.2025):

pip install gradio

carla (🥇37 · ⭐ 13K) - Open-source simulator for autonomous driving research. MIT

- [GitHub](https://github.com/carla-simulator/carla) (👨‍💻 190 · 🔀 4.2K · 📦 1.1K · 📋 6.2K - 18% open · ⏱️ 08.10.2025):

git clone https://github.com/carla-simulator/carla

- [PyPi](https://pypi.org/project/carla) (📥 20K / month · 📦 16 · ⏱️ 14.09.2025):

pip install carla

Autograd (🥇37 · ⭐ 7.4K) - Efficiently computes derivatives of NumPy code. MIT

- [GitHub](https://github.com/HIPS/autograd) (👨‍💻 64 · 🔀 910 · 📦 14K · 📋 440 - 42% open · ⏱️ 29.09.2025):

git clone https://github.com/HIPS/autograd

- [PyPi](https://pypi.org/project/autograd) (📥 3.8M / month · 📦 310 · ⏱️ 05.05.2025):

pip install autograd

- [Conda](https://anaconda.org/conda-forge/autograd) (📥 670K · ⏱️ 05.05.2025):

conda install -c conda-forge autograd

PennyLane (🥇37 · ⭐ 2.8K) - PennyLane is a cross-platform Python library for quantum.. Apache-2

- [GitHub](https://github.com/PennyLaneAI/pennylane) (👨‍💻 210 · 🔀 700 · 📥 100 · 📦 1.9K · 📋 1.7K - 26% open · ⏱️ 09.10.2025):

git clone https://github.com/PennyLaneAI/PennyLane

- [PyPi](https://pypi.org/project/pennylane) (📥 250K / month · 📦 41 · ⏱️ 20.08.2025):

pip install pennylane

- [Conda](https://anaconda.org/conda-forge/pennylane) (📥 340K · ⏱️ 22.04.2025):

conda install -c conda-forge pennylane

PyOD (🥈36 · ⭐ 9.5K) - A Python Library for Outlier and Anomaly Detection, Integrating Classical.. BSD-2

- [GitHub](https://github.com/yzhao062/pyod) (👨‍💻 64 · 🔀 1.4K · 📦 5.5K · 📋 390 - 59% open · ⏱️ 29.04.2025):

git clone https://github.com/yzhao062/pyod

- [PyPi](https://pypi.org/project/pyod) (📥 840K / month · 📦 130 · ⏱️ 29.04.2025):

pip install pyod

- [Conda](https://anaconda.org/conda-forge/pyod) (📥 170K · ⏱️ 30.04.2025):

conda install -c conda-forge pyod

DeepChem (🥈35 · ⭐ 6.2K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT

- [GitHub](https://github.com/deepchem/deepchem) (👨‍💻 260 · 🔀 1.9K · 📦 650 · 📋 2.1K - 39% open · ⏱️ 07.10.2025):

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

- [PyPi](https://pypi.org/project/deepchem) (📥 76K / month · 📦 22 · ⏱️ 07.10.2025):

pip install deepchem

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

conda install -c conda-forge deepchem

Datasette (🥈34 · ⭐ 10K) - An open source multi-tool for exploring and publishing data. Apache-2

- [GitHub](https://github.com/simonw/datasette) (👨‍💻 82 · 🔀 770 · 📥 75 · 📦 1.6K · 📋 1.9K - 32% open · ⏱️ 09.10.2025):

git clone https://github.com/simonw/datasette

- [PyPi](https://pypi.org/project/datasette) (📥 190K / month · 📦 470 · ⏱️ 22.04.2025):

pip install datasette

- [Conda](https://anaconda.org/conda-forge/datasette) (📥 72K · ⏱️ 22.04.2025):

conda install -c conda-forge datasette

Pythran (🥈34 · ⭐ 2.1K) - Ahead of Time compiler for numeric kernels. BSD-3

- [GitHub](https://github.com/serge-sans-paille/pythran) (👨‍💻 75 · 🔀 200 · 📦 3.6K · 📋 930 - 15% open · ⏱️ 30.09.2025):

git clone https://github.com/serge-sans-paille/pythran

- [PyPi](https://pypi.org/project/pythran) (📥 470K / 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

agate (🥈34 · ⭐ 1.2K) - A Python data analysis library that is optimized for humans instead of.. MIT

- [GitHub](https://github.com/wireservice/agate) (👨‍💻 55 · 🔀 150 · 📦 5.2K · 📋 650 - 0% open · ⏱️ 05.09.2025):

git clone https://github.com/wireservice/agate

- [PyPi](https://pypi.org/project/agate) (📥 22M / month · 📦 54 · ⏱️ 29.01.2025):

pip install agate

- [Conda](https://anaconda.org/conda-forge/agate) (📥 400K · ⏱️ 22.04.2025):

conda install -c conda-forge agate

River (🥈32 · ⭐ 5.6K) - Online machine learning in Python. BSD-3

- [GitHub](https://github.com/online-ml/river) (👨‍💻 130 · 🔀 590 · 📦 800 · 📋 630 - 19% open · ⏱️ 05.10.2025):

git clone https://github.com/online-ml/river

- [PyPi](https://pypi.org/project/river) (📥 110K / month · 📦 64 · ⏱️ 25.11.2024):

pip install river

- [Conda](https://anaconda.org/conda-forge/river) (📥 130K · ⏱️ 22.04.2025):

conda install -c conda-forge river

anomalib (🥈31 · ⭐ 5K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2

- [GitHub](https://github.com/open-edge-platform/anomalib) (👨‍💻 96 · 🔀 810 · 📥 40K · 📦 200 · 📋 1.1K - 5% open · ⏱️ 09.10.2025):

git clone https://github.com/openvinotoolkit/anomalib

- [PyPi](https://pypi.org/project/anomalib) (📥 26K / month · 📦 7 · ⏱️ 09.10.2025):

pip install anomalib

hdbscan (🥈31 · ⭐ 3K) - A high performance implementation of HDBSCAN clustering. BSD-3

- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (👨‍💻 97 · 🔀 500 · 📦 7.6K · 📋 530 - 67% open · ⏱️ 29.07.2025):

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

- [PyPi](https://pypi.org/project/hdbscan) (📥 1.1M / month · 📦 350 · ⏱️ 18.11.2024):

pip install hdbscan

- [Conda](https://anaconda.org/conda-forge/hdbscan) (📥 2.8M · ⏱️ 09.09.2025):

conda install -c conda-forge hdbscan

pyjanitor (🥈31 · ⭐ 1.5K) - Clean APIs for data cleaning. Python implementation of R package.. MIT

- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (👨‍💻 110 · 🔀 170 · 📦 980 · 📋 580 - 19% open · ⏱️ 08.10.2025):

git clone https://github.com/pyjanitor-devs/pyjanitor

- [PyPi](https://pypi.org/project/pyjanitor) (📥 250K / month · 📦 42 · ⏱️ 07.03.2025):

pip install pyjanitor

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

conda install -c conda-forge pyjanitor

datalad (🥈31 · ⭐ 610) - Keep code, data, containers under control with git and git-annex. MIT

- [GitHub](https://github.com/datalad/datalad) (👨‍💻 61 · 🔀 110 · 📦 540 · 📋 4K - 13% open · ⏱️ 28.09.2025):

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

- [PyPi](https://pypi.org/project/datalad) (📥 40K / month · 📦 110 · ⏱️ 02.07.2025):

pip install datalad

- [Conda](https://anaconda.org/conda-forge/datalad) (📥 960K · ⏱️ 20.08.2025):

conda install -c conda-forge datalad

tensorly (🥈30 · ⭐ 1.6K) - TensorLy: Tensor Learning in Python. BSD-2

- [GitHub](https://github.com/tensorly/tensorly) (👨‍💻 73 · 🔀 290 · 📦 1.1K · 📋 280 - 22% open · ⏱️ 05.05.2025):

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

- [PyPi](https://pypi.org/project/tensorly) (📥 160K / 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

causalml (🥈29 · ⭐ 5.6K) - Uplift modeling and causal inference with machine learning.. Apache-2

- [GitHub](https://github.com/uber/causalml) (👨‍💻 71 · 🔀 830 · 📦 310 · 📋 420 - 10% open · ⏱️ 26.09.2025):

git clone https://github.com/uber/causalml

- [PyPi](https://pypi.org/project/causalml) (📥 48K / month · 📦 10 · ⏱️ 09.07.2025):

pip install causalml

dstack (🥈29 · ⭐ 1.9K) - dstack is an open-source control plane for running development,.. MPL-2.0

- [GitHub](https://github.com/dstackai/dstack) (👨‍💻 62 · 🔀 200 · 📦 22 · 📋 1.5K - 7% open · ⏱️ 09.10.2025):

git clone https://github.com/dstackai/dstack

- [PyPi](https://pypi.org/project/dstack) (📥 5.1K / month · ⏱️ 09.10.2025):

pip install dstack

pycm (🥈28 · ⭐ 1.5K) - Multi-class confusion matrix library in Python. MIT

- [GitHub](https://github.com/sepandhaghighi/pycm) (👨‍💻 18 · 🔀 120 · 📦 420 · 📋 210 - 7% open · ⏱️ 14.08.2025):

git clone https://github.com/sepandhaghighi/pycm

- [PyPi](https://pypi.org/project/pycm) (📥 180K / month · 📦 26 · ⏱️ 16.08.2025):

pip install pycm

Prince (🥈28 · ⭐ 1.4K) - Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA,.. MIT

- [GitHub](https://github.com/MaxHalford/prince) (👨‍💻 16 · 🔀 190 · 📦 770 · ⏱️ 04.08.2025):

git clone https://github.com/MaxHalford/prince

- [PyPi](https://pypi.org/project/prince) (📥 250K / month · 📦 23 · ⏱️ 04.08.2025):

pip install prince

- [Conda](https://anaconda.org/conda-forge/prince-factor-analysis) (📥 27K · ⏱️ 22.04.2025):

conda install -c conda-forge prince-factor-analysis

Trax (🥉27 · ⭐ 8.3K) - Trax Deep Learning with Clear Code and Speed. Apache-2

- [GitHub](https://github.com/google/trax) (👨‍💻 82 · 🔀 830 · 📦 230 · 📋 250 - 50% open · ⏱️ 26.09.2025):

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

- [PyPi](https://pypi.org/project/trax) (📥 5.9K / month · 📦 1 · ⏱️ 26.10.2021):

pip install trax

adapter-transformers (🥉27 · ⭐ 2.8K) - A Unified Library for Parameter-Efficient and Modular.. Apache-2 huggingface

- [GitHub](https://github.com/adapter-hub/adapters) (👨‍💻 16 · 🔀 360 · 📦 250 · 📋 410 - 11% open · ⏱️ 15.08.2025):

git clone https://github.com/Adapter-Hub/adapter-transformers

- [PyPi](https://pypi.org/project/adapter-transformers) (📥 8K / month · 📦 12 · ⏱️ 07.07.2024):

pip install adapter-transformers

avalanche (🥉26 · ⭐ 2K · 💤) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT

- [GitHub](https://github.com/ContinualAI/avalanche) (👨‍💻 87 · 🔀 310 · 📥 60 · 📦 140 · 📋 840 - 13% open · ⏱️ 11.03.2025):

git clone https://github.com/ContinualAI/avalanche

- [PyPi](https://pypi.org/project/avalanche-lib) (📥 7.9K / 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) (📥 6.3K / month · 📦 2 · ⏱️ 25.11.2024):

pip install tabpy

- [Conda](https://anaconda.org/anaconda/tabpy-client) (📥 5.6K · ⏱️ 22.04.2025):

conda install -c anaconda tabpy-client

findspark (🥉26 · ⭐ 520) - Find pyspark to make it importable. BSD-3

- [GitHub](https://github.com/minrk/findspark) (👨‍💻 16 · 🔀 72 · 📦 5.6K · 📋 23 - 47% open · ⏱️ 04.09.2025):

git clone https://github.com/minrk/findspark

- [PyPi](https://pypi.org/project/findspark) (📥 2.7M / month · 📦 100 · ⏱️ 11.02.2022):

pip install findspark

- [Conda](https://anaconda.org/conda-forge/findspark) (📥 1M · ⏱️ 22.04.2025):

conda install -c conda-forge findspark

AugLy (🥉25 · ⭐ 5K) - A data augmentations library for audio, image, text, and video. MIT

- [GitHub](https://github.com/facebookresearch/AugLy) (👨‍💻 41 · 🔀 310 · 📦 180 · 📋 80 - 30% open · ⏱️ 10.09.2025):

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

- [PyPi](https://pypi.org/project/augly) (📥 4.7K / month · 📦 4 · ⏱️ 05.12.2023):

pip install augly

gplearn (🥉25 · ⭐ 1.7K) - Genetic Programming in Python, with a scikit-learn inspired API. BSD-3

- [GitHub](https://github.com/trevorstephens/gplearn) (👨‍💻 12 · 🔀 300 · 📦 730 · 📋 220 - 11% open · ⏱️ 23.07.2025):

git clone https://github.com/trevorstephens/gplearn

- [PyPi](https://pypi.org/project/gplearn) (📥 33K / month · 📦 19 · ⏱️ 03.05.2022):

pip install gplearn

- [Conda](https://anaconda.org/conda-forge/gplearn) (📥 11K · ⏱️ 22.04.2025):

conda install -c conda-forge gplearn

vecstack (🥉23 · ⭐ 700) - Python package for stacking (machine learning technique). MIT

- [GitHub](https://github.com/vecxoz/vecstack) (👨‍💻 1 · 🔀 82 · 📦 570 · ⏱️ 28.09.2025):

git clone https://github.com/vecxoz/vecstack

- [PyPi](https://pypi.org/project/vecstack) (📥 1.5K / month · 📦 5 · ⏱️ 28.09.2025):

pip install vecstack

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

conda install -c conda-forge vecstack

MONAILabel (🥉22 · ⭐ 760) - MONAI Label is an intelligent open source image labeling and.. Apache-2

- [GitHub](https://github.com/Project-MONAI/MONAILabel) (👨‍💻 69 · 🔀 240 · 📥 130K · 📋 560 - 26% open · ⏱️ 14.08.2025):

git clone https://github.com/Project-MONAI/MONAILabel

- [PyPi](https://pypi.org/project/monailabel-weekly) (📥 460 / month · ⏱️ 01.10.2023):

pip install monailabel-weekly

apricot (🥉22 · ⭐ 520) - 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) (📥 20K / month · 📦 16 · ⏱️ 18.02.2021):

pip install apricot-select

pykale (🥉21 · ⭐ 470) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT

- [GitHub](https://github.com/pykale/pykale) (👨‍💻 28 · 🔀 70 · 📦 6 · 📋 140 - 8% open · ⏱️ 08.09.2025):

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

- [PyPi](https://pypi.org/project/pykale) (📥 69 / month · ⏱️ 12.04.2022):

pip install pykale

SUOD (🥉21 · ⭐ 390 · 💤) - (MLSys 21) An Acceleration System for Large-scare Unsupervised.. BSD-2

- [GitHub](https://github.com/yzhao062/SUOD) (👨‍💻 3 · 🔀 49 · 📦 560 · 📋 15 - 80% open · ⏱️ 24.03.2025):

git clone https://github.com/yzhao062/SUOD

- [PyPi](https://pypi.org/project/suod) (📥 13K / month · 📦 9 · ⏱️ 24.03.2025):

pip install suod

pymdp (🥉17 · ⭐ 570) - A Python implementation of active inference for Markov Decision Processes. MIT

- [GitHub](https://github.com/infer-actively/pymdp) (👨‍💻 19 · 🔀 110 · 📋 120 - 50% open · ⏱️ 09.09.2025):

git clone https://github.com/infer-actively/pymdp

- [PyPi](https://pypi.org/project/inferactively-pymdp) (📥 1.6K / month · ⏱️ 08.12.2022):

pip install inferactively-pymdp

Show 31 hidden projects...

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Papers With Code: Discover ML papers, code, and evaluation tables.
Sotabench: Discover & compare open-source ML models.
Google Dataset Search: Dataset search engine by Google.
Dataset List: List of the biggest ML datasets from across the web.
Awesome Public Datasets: A topic-centric list of open datasets.
Best-of lists: Discover other best-of lists with awesome open-source projects on all kinds of topics.
best-of-python-dev: A ranked list of awesome python developer tools and libraries.
best-of-web-python: A ranked list of awesome python libraries for web development.

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Contributions are encouraged and always welcome! If you like to add or update projects, choose one of the following ways:

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Best-of Machine Learning with Python

Contents¶

Explanation¶

Machine Learning Frameworks¶

Data Visualization¶

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Image Data¶

Graph Data¶

Audio Data¶

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Financial Data¶

Time Series Data¶

Medical Data¶

Tabular Data¶

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Recommender Systems¶

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