Overview
Research summary
SGLang is an inference framework for deploying language and multimodal models on supported local or cloud hardware. Its runtime provides scheduling, caching, and model execution infrastructure for applications that generate many related requests, including agent workloads and reinforcement learning rollouts. Developers launch a model server and configure it for the selected model and accelerator. The project publishes platform guides and deployment recipes covering several hardware families. This entry describes the serving framework; model weights and companion training projects have their own distribution and licensing.
Repository summary
- Stars
- Unavailable
- Open issues
- Unavailable
- Last push
- Unavailable
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Version
- Unavailable
Recorded catalogue figures. View repository data and provenance →
Classification
Pricing & services
Paid services unknown
Whether the provider offers paid products or services has not been established.
Licence scope
Implementation
Recorded implementation details and interfaces for SGLang.
Implementation details
Python inference framework with native accelerator kernels
- Languages
- Python
- Repository type
- source
Recorded interfaces and capabilities
Licence scope
Repository
Repository snapshots, release information and recorded maintenance signals.
Repository snapshot
- Stars
- Unavailable
- Open issues
- Unavailable
- Last push
- Unavailable
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Archived
- Not recorded
Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).
Maintenance and provenance
- Catalogue snapshot
- 2026-10-06
Documentation
Recorded references and research provenance for this entry.
Recorded sources 4
- https://sglang.io Project page
- https://github.com/sgl-project/sglang Linked repository · Research reference
- https://github.com/sgl-project/sglang/blob/main/README.md Research reference
- https://api.github.com/repos/sgl-project/sglang Research reference
Research metadata
- Research date
- 2026-10-02
- Catalogue snapshot
- 2026-10-06
Community & social 4 channels
Communities
- Slackslack.sglang.ioOfficial
- GitHub Discussionsgithub.com/sgl-project/sglang/discussionsOfficial
Link details for GitHub Discussions
- Last checked
Social & updates
- Xx.com/lmsysorgOfficial
- LinkedInwww.linkedin.com/company/sgl-projectOfficial