sglang
SGLang is a high-performance serving framework for large language models and multimodal models.
SGLang is a fast serving framework for LLMs and vision-language models, featuring RadixAttention and strong support for structured and programmatic generation.
From the README
- [2026/07] 🔥 SGLang and Miles add day-0 support for Kimi K3 (blog).
- [2026/07] RadixArk and Google bring full SGLang features to TPUs (blog).
- [2026/07] Serving GLM5.2 NVFP4 agentic workloads with SGLang: Reaching 500 TPS in two weeks (blog).
- [2026/06] 🔥 The next generation of speculative decoding: DFlash and Spec V2 (blog).
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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sglang has 32.9k stars on GitHub. It has been forked 8.4k times. sglang is written mainly in Python. It has been in active development since 2024. sglang is available under the Apache-2.0 license. Its main topics are attention, blackwell, cuda, deepseek.
Read the full guideWhat is sglang?
SGLang is a high-performance serving framework for large language models and multimodal models.
Is sglang open source?
sglang is an open-source project. It is released under the Apache-2.0 license.
Is sglang free?
Yes. sglang is free and open source — you can use, modify and self-host it.
What license does sglang use?
sglang is available under the Apache-2.0 license.
What language is sglang written in?
sglang is written mainly in Python.
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