GStars
    docling-project

    docling-project/docling

    Get your documents ready for gen AI

    ai
    frontend
    documentation
    convert
    document-parser
    document-parsing
    documents
    docx
    Python
    MIT
    70.3K stars
    5.3K forks
    224 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.

    5 releases in the last 90 days, the latest 1 day ago, with 416 contributors on GitHub.

    Peaked at #31 in the weekly ranking the week of Sep 20, its best in the past year.

    Use Cases & Benefits

    • Simplifies parsing and processing of diverse document formats for generative AI applications.
    • Offers advanced PDF understanding and unified document representation with seamless AI ecosystem integrations.
    • Use for converting complex PDFs with tables, formulas, and images into structured, machine-readable formats.
    • Use for integrating document parsing into AI workflows using LangChain, LlamaIndex, or Haystack frameworks.
    • Use for local, secure processing of sensitive documents in air-gapped or privacy-focused environments.

    Should you depend on it?

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

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    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

    Docling simplifies document processing, parsing diverse formats — including advanced PDF understanding — and providing seamless integrations with the gen AI ecosystem.

    Excerpt from the docling-project/docling README on GitHub (MIT 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

    Aug 19: +88Aug 20: +149Sep 20: +492Sep 21: +117Sep 22: +48Oct 2: +46Oct 3: +13Oct 4: +54Oct 5: +34Oct 6: +18Oct 9: +54Oct 10: +44Oct 11: +38Oct 12: +32Oct 13: +65Oct 14: +51Oct 15: +67Oct 16: +52Oct 17: +45Oct 18: +36

    +5,276 stars over 84 days across 27 snapshot days; best day +492 on Sep 20.

    Forks

    5.3K+659

    Open issues

    968-7

    Compared with peers in AI

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

    View category →
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    Category median115.8K+4.0K75—
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