SGLang
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Overview
HEALTH SCORE
Excellent
85out of 100
Strong maintainer coverage and security posture. Development cadence is the only remaining gap.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Excellent(85/100)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 1 day.
Bus factor
639 active maintainers currently have merge rights.
Organization Diversity
Contributors span 2549 organizations.
Project Achievements
Leaderboards
About
SGLang is a structured generation language and runtime system designed for efficient text generation and large language model inference. It provides a Python-based DSL for defining generation workflows with features like speculative decoding and token healing.
First commit
Software value
$63M
Tags
blackwell
cuda
deepseek
deepseek-r1
deepseek-v3
deepseek-v3-2
gpt-oss
inference
kimi
llama
llama3
llava
llm
llm-serving
moe
openai
pytorch
qwen3
transformer
vlm
License(s)
Apache-2.0
Data sources
Git
GitHub