huggingface

    huggingface/tokenizers

    #466 this week

    πŸ’₯ Fast State-of-the-Art Tokenizers optimized for Research and Production

    ai
    nlp
    deep-learning
    bert
    gpt
    language-model
    natural-language-processing
    natural-language-understanding
    Rust
    Apache-2.0
    11.2K stars
    1.2K forks
    11.2K GitHub watchers
    Updated Oct 15, 2026
    View on GitHub

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    Where it stands

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

    Ranks #68 among AI repositories tracked this week, and #68 over the last 30 days; #466 of 2,845 repositories GStars tracks this week (top 16%).

    3 releases in the last 90 days, the latest 6 days ago, with 146 contributors on GitHub.

    Peaked at #38 in the weekly ranking the week of Sep 27, its best in the past year.

    Use Cases & Benefits

    • Provides fast, state-of-the-art tokenizers optimized for both research and production environments.
    • Delivers extremely high performance tokenization and training speeds through a Rust-based implementation.
    • Use for training custom tokenizers on large text corpora with popular algorithms like BPE, WordPiece, or Unigram.
    • Use for integrating efficient tokenization in NLP pipelines requiring alignment tracking and special token handling.
    • Ideal for developers needing multi-language bindings to tokenize text in Python, Node.js, or Rust applications.

    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
    • Contributing guide: present

    Watch-outs

    No watch-outs from GStars' checks.

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

    From the README

    Provides an implementation of today's most used tokenizers, with a focus on performance and versatility.

    Excerpt from the huggingface/tokenizers README on GitHub (Apache-2.0 license). Β© 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 23: +22Sep 24: +3Sep 27: +7Sep 28: +9

    +263 stars over 84 days across 12 snapshot days; best day +22 on Sep 23.

    Forks

    1.2K+70

    Open issues

    208-44

    Compared with peers in AI

    Fastest-growing repositories GStars tracks in this cohort for the week of Oct 11, by 7-day star growth

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    Category median35.6K+5.6K75β€”

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