sgl-project

    sgl-project/mini-sglang

    #458 this week

    A compact implementation of SGLang, designed to demystify the complexities of modern LLM serving systems.

    llm
    Python
    MIT
    5.4K stars
    936 forks
    5.4K GitHub watchers
    Updated Oct 23, 2026
    View on GitHub

    Build with Backblaze B2

    SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.

    Explore Backblaze Labs

    Loading star history...

    Where it stands

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

    Ranks #458 of 3,103 repositories GStars tracks this week (top 15%).

    The project lists 36 contributors on GitHub.

    Peaked at #76 in the weekly ranking the week of Dec 21, its best in the past year.

    Use Cases & Benefits

    • Implements a lightweight, high-performance inference framework for serving large language models with advanced optimizations in Python.
    • Offers a compact, modular, and fully type-annotated codebase that balances readability with state-of-the-art throughput and latency.
    • Use for deploying OpenAI-compatible API servers to serve large language models efficiently on single or multiple GPUs.
    • Use for researchers needing a transparent reference implementation to study and modify modern LLM serving system internals.
    • Use for interactive terminal-based chat sessions with large language models using a simple shell interface.

    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

    Watch-outs

    • No GitHub releases; pin a commit or tag instead of a release.

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

    From the README

    A lightweight yet high-performance inference framework for Large Language Models.

    Mini-SGLang is a compact implementation of SGLang, designed to demystify the complexities of modern LLM serving systems. With a compact codebase of ~5,000 lines of Python, it serves as both a capable inference engine and a transparent reference for researchers and developers.

    Excerpt from the sgl-project/mini-sglang 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

    Forks

    936+181

    Open issues

    72+24

    Compared with peers in LLM

    Fastest-growing repositories GStars tracks in this cohort for the week of Oct 18, by 7-day star growth

    sgl-project/mini-sglang compared with LLM repositories by stars, 7-day star growth, health score and last release
    RepositoryStars+7dHealthLast release
    DietrichGebert/ponytail174.8K+9.9K757 days ago
    xerj-org/xerj14.2K+7.8K75today
    affaan-m/ECC287.3K+6.4K6422 days ago
    tashfeenahmed/freellmapi40.3K+4.1K75today
    JuliusBrussee/caveman114.4K+2.2K759 days ago
    sgl-project/mini-sglang5.4K+075—
    Category median114.4K+6.4K75—

    Also by sgl-project

    Other repositories from this maintainer that GStars tracks

    Discover Repositories

    Search across tracked repositories by name or description