Technology · Framework
SGLang
Framework · Catalog tech@1
Fast serving framework for language models.
- Categories
- Matched as
- sglang
Momentum
Each signal is ranked as a percentile among the technologies that have it. A signal without enough history is not counted, and never shown as zero. How momentum works
Momentum
Collecting0 of 5 signalsNo score yet. Momentum is published only when at least 2 of the 5 signals have history. SGLang has 0, so there is no single number: each signal is shown on its own below. It is not a zero, and nothing is estimated in its place.
Snapshot OCT 24, 2026 · Scoring tech@1
- Official repository stars
- Collecting
- Star growth needs repository snapshots 30 days apart.36,717 stars now
- Member repository stars
- Collecting
- Star growth needs repository snapshots 30 days apart.0 new members in 30 days
- Package adoption
- Not published by its registries
- Its packages’ registries publish no adoption figure, so there is nothing to grow.
- Open models
- No official models
- No official model on Hugging Face, so this signal does not apply.
- News
- Collecting
- News counts once there are 3 events across the last 60 days; it has 1.1 in the last 30 days · 0 in the 30 before
Adoption by registry
The growth of SGLang’s own packages, one row per registry in that registry’s own unit. Registries count different things over different windows, so they are never added together.
No registry has two observations of SGLang’s own packages about 30 days apart yet, so there is no growth to show. Nothing is estimated in its place.
News activity
- Events · 7 days
- 1published events that mention it
- Events · 30 days
- 1published events that mention it
- Previous 30 days
- 0events in the 30 days before
Momentum history
Momentum history starts OCT 8, 2026. A chart appears once two daily snapshots carry a score; none does so far.
Repositories
Official 1
- sgl-project/sglang
SGLang is a high-performance serving framework for large language models and multimodal models.
36.7K stars
Members 15repositories tagged with one of its aliases, most-starred first
- sgl-project/SpecForge
Train speculative decoding models effortlessly and port them smoothly to SGLang serving.
1.2K stars
- OpenMOSS/MOVA
A foundation model that generates synchronized video and audio in a single model
1.1K stars
- Tencent-Hunyuan/UniRL
UniRL is a Framework for Unified Multimodal Model Reinforcement Learning
1K stars
Packages
“Is” packages are SGLang itself; ecosystem packages depend on them. The two are counted separately and never added together. Adoption is each registry’s own figure, with its percentile within that registry.
Is 8the technology itself, most-adopted first
- amd-sglang
SGLang is a fast serving framework for large language models and vision language models.
Not published by PyPI - dblcsgen
DBLC Fast Structured Generation
Not published by PyPI - lsglang
SGLang is a fast serving framework for large language models and vision language models.
Not published by PyPI - sglang
SGLang is a fast serving framework for large language models and vision language models.
Not published by PyPI - sglang-kernel
Kernel Library for SGLang
Not published by PyPI - sglang-kernel-rdna3
Prebuilt sgl-kernel for AMD Radeon RDNA3 (gfx1100)
Not published by PyPI - sglang-kt
SGLang is a fast serving framework for large language models and vision language models.
Not published by PyPI - sgltmp
SGLang is yet another fast serving framework for large language models and vision language models.
Not published by PyPI
Ecosystem 2packages that depend on it, most-adopted first
- sglang-omni
Multi-stage pipeline framework for omni models
Not published by PyPI - specforge
SpecForge: Speculative Decoding Training Framework
Not published by PyPI
Latest news the latest event that mention it
- 7h agoOCT 24, 2026