sgl-project / sglang
SGLang is a high-performance serving framework for large language models and multimodal models.
Why this job: works in the areas we cover, but does not say which job it does
What it does
SGLang is an open-source inference framework for large language, vision-language, and diffusion models, optimized for agentic workloads, large-scale serving, and RL rollouts. SGLang Diffusion is its built-in image and video generation engine, included in this repository and the sglang Python package.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit today
- Stars
- 38,598
- +245 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.5.23
- Released 7 days ago
- Built with
- Python
- 84% of the code
Is it looked after?
- Contributors
- 53
- Last 90 days
- Issues
- 89% closed
- 930 still open
- Pull requests
- 22,695 merged
- 5,556 waiting
- Releases
- 64
- 28 in the last year
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
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More: languages, topics and project record
Languages
- Python 84%
- Rust 9%
- Cuda 4%
- C++ 2%
Topics
- cuda
- inference
- llama
- llm
- moe
- transformer
- vlm
- deepseek
- blackwell
- gpt-oss
- diffusion
- attention
Project record
- JobOther AI tools
- StatusFeatured
- Commits22,044
- Forks10,287
- Watching183
- Stars in 28 days+999
- CreatedJan 8, 2024
- First seen by usNov 7, 2026
- CheckedNov 9, 2026
