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lukasmasuch/best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

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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! General-purpose machine learning and deep learning frameworks. Tensorflow (🥇56 · ⭐ 200K) - An Open Source Machine Learning Framework for Everyone. Apache-2 PyTorch (🥇56 · ⭐ 94K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 scikit-learn (🥇53 · ⭐ 64K) - scikit-learn: machine learning in Python. BSD-3 Keras (🥇50 · ⭐ 64K) - Deep Learning for humans. Apache-2 XGBoost (🥇46 · ⭐ 28K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2 PaddlePaddle (🥇46 · ⭐…

lukasmasuch/best-of-ml-python on GitHub A short preview, not the full document.

Read the full README ↗ · Preview checked 2026-11-01T19:53:52.288Z

Inside the original README — Document outline
  1. Contents
  2. Explanation
  3. Machine Learning Frameworks
  4. Data Visualization
  5. Text Data & NLP
  6. Image Data
  7. Graph Data
  8. Audio Data
  9. Geospatial Data
  10. Financial Data
  11. Time Series Data
  12. Medical Data

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Documentation belongs to its respective authors. Reported project/model license: CC-BY-SA-4.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

What this repository does

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Repository facts

Owner
lukasmasuch
Primary language
Not reported
Stars
23,849
Forks
3,146
Open issues + pull requests
58
License
CC-BY-SA-4.0
Archived
No
Default branch
main
Created
2020-11-29T19:41:36.000Z
Last push
2026-10-29T14:11:25.000Z

Topics and intended use

Owner-supplied topics: automl, chatgpt, data-analysis, data-science, data-visualization, data-visualizations, deep-learning, gpt, gpt-3, jax, keras, machine-learning, ml, nlp, python, pytorch, scikit-learn, tensorflow, transformer

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Source: GitHub. Metadata observed 2026-11-01T12:19:42.808Z. Daily imports are snapshots, not real-time monitoring.

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