fastino-ai

    fastino-ai/GLiNER2

    Unified Schema-Based Information Extraction

    backend
    Python
    Apache-2.0
    2.4K stars
    218 forks
    2.4K GitHub watchers
    Updated Nov 2, 2026
    View on GitHub

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    Where it stands

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

    2 releases in the last 90 days, the latest 24 days ago, with 22 contributors on GitHub.

    Use Cases & Benefits

    • Unifies named entity recognition, text classification, structured data extraction, and relation extraction into a single efficient Python model.
    • Enables fast, CPU-based inference with no external dependencies, ensuring privacy and ease of deployment on standard hardware.
    • Use for extracting detailed entities and relations from financial documents to automate transaction data processing.
    • Use for parsing medical records to identify patient info, prescriptions, and symptoms for healthcare analytics.
    • Use for analyzing legal contracts by extracting entities, classifications, relations, and structured terms for compliance and review.

    Should you depend on it?

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

    License

    Apache 2.0

    Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.

    Community files

    • README: present

    Watch-outs

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    From the README

    Extract entities, classify text, parse structured data, and extract relations—all in one efficient model.

    GLiNER2 unifies Named Entity Recognition, Text Classification, Structured Data Extraction, and Relation Extraction into a single 205M parameter model. It provides efficient CPU-based inference without requiring complex pipelines or external API dependencies.

    Excerpt from the fastino-ai/GLiNER2 README on GitHub (Apache-2.0 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

    Sep 19: +21

    +691 stars over 85 days across 8 snapshot days; best day +21 on Sep 19.

    Forks

    218+56

    Open issues

    71+23

    Compared with peers in Backend

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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