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    lukasmasuch

    lukasmasuch/best-of-ml-python

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

    ai
    analytics
    deep-learning
    machine-learning
    nlp
    automl
    chatgpt
    data-analysis
    data-science
    data-visualization
    CC-BY-SA-4.0
    23.9K stars
    3.1K forks
    438 GitHub watchers
    Updated Nov 10, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    No releases in the last 90 days; the most recent was 371 days ago, with 58 contributors on GitHub.

    Use Cases & Benefits

    • Provides a curated and ranked list of 920 open-source Python machine learning libraries across 34 categories, updated weekly.
    • Enables quick discovery of high-quality ML libraries by ranking projects based on an automated project-quality score from multiple metrics.
    • Use for finding the best Python libraries for machine learning frameworks like TensorFlow, PyTorch, and scikit-learn.
    • Use for exploring specialized ML tools in areas such as NLP, computer vision, time series, and reinforcement learning.
    • Use for identifying libraries for ML workflows including hyperparameter optimization, experiment tracking, model deployment, and interpretability.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    CC BY-SA 4.0

    Share-alike content license, unusual for code: adaptations must carry the same license, and it was not written for software.

    Community files

    • README: present
    • Contributing guide: present
    • Code of conduct: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    🏆  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!

    Excerpt from the lukasmasuch/best-of-ml-python README on GitHub (CC-BY-SA-4.0 license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    3.1K+5

    Open issues

    59+7

    Compared with peers in AI

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth

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