sgl-project/sglang
SGLang is a high-performance serving framework for large language models and multimodal models.
Implements RadixAttention for prefix caching, zero-overhead batch scheduling, and prefill-decode disaggregation to optimize inference latency and throughput. Supports tensor/pipeline/expert/data parallelism with structured output constraints via compressed finite state machines. Runs across NVIDIA, AMD, Intel, and Google TPU hardware with native integrations for reinforcement learning and post-training workflows.
24,410 stars and 45,662,765 monthly downloads. Used by 5 other packages. Actively maintained with 962 commits in the last 30 days. Available on PyPI.
Stars
24,410
Forks
4,799
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 13, 2026
Monthly downloads
45,662,765
Commits (30d)
962
Dependencies
64
Reverse dependents
5
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