GStars
    sgl-project

    sgl-project/sglang

    SGLang is a high-performance serving framework for large language models and multimodal models.

    llm
    deep-learning
    attention
    blackwell
    cuda
    deepseek
    diffusion
    Python
    Apache-2.0
    38.6K stars
    10.3K forks
    183 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 7 days ago, with 447 contributors on GitHub.

    Peaked at #18 in the weekly ranking the week of Dec 14, its best in the past year.

    Use Cases & Benefits

    • Provides a high-performance serving framework for large language and multimodal models with optimized backend runtime and flexible frontend language.
    • Delivers faster and more controllable model interactions through advanced runtime optimizations like RadixAttention, zero-overhead scheduling, and multi-parallelism support.
    • Use for deploying large-scale LLM inference pipelines requiring efficient GPU utilization and low-latency responses in production environments.
    • Use for developing complex LLM applications with chained generation, advanced prompting, and multi-modal input handling via an intuitive frontend language.
    • Use for integrating and serving diverse generative, embedding, and reward models with extensible support for new architectures and quantization techniques.

    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
    • 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

    Learn more in the release blogs: v0.2 blog, v0.3 blog, v0.4 blog, Large-scale expert parallelism.

    Excerpt from the sgl-project/sglang 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 5: +105Sep 6: +16Sep 9: +55Sep 10: +59Sep 11: +34Oct 2: +11Oct 11: +26Oct 12: +27Oct 15: +48Oct 24: +53Oct 25: +128Oct 26: +354Oct 27: +60Oct 28: +69Oct 31: -55

    +6,063 stars over 75 days across 25 snapshot days; best day +354 on Oct 26.

    Forks

    10.3K+2.0K

    Open issues

    6.5K+1.5K

    Compared with peers in LLM

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

    View category →
    sgl-project/sglang compared with LLM repositories by stars, 7-day star growth, health score and last release
    RepositoryStars+7dHealthLast release
    NVIDIA/auto-ontology11.4K+8.5K75—
    thedotmack/claude-mem115.8K+4.7K75today
    DietrichGebert/ponytail188.4K+4.4K7512 days ago
    affaan-m/ECC300.8K+4.3K7540 days ago
    Graphify-Labs/graphify145.7K+3.8K75today
    sgl-project/sglang38.6K—657 days ago
    Category median145.7K+4.4K75—
    Compare sglang with auto-ontology, claude-mem, ponytail →

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