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
- xorbitsai/inference
Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.
9.6K stars
- ai-dynamo/dynamo
A Datacenter Scale Distributed Inference Serving Framework
8.2K stars
- kvcache-ai/Mooncake
Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.
6.7K stars
- gpustack/gpustack
A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances.
5.8K stars
- Gen-Verse/OpenClaw-RL
OpenClaw-RL: Train any agent simply by talking
5.7K stars
- sybil-solutions/local-studio
Control panel for VLLM, Sglang, llama.cpp, exllamav3
1.8K stars
- SemiAnalysisAI/InferenceX
Open Source Inference Research Platform Standard / 开源推理研究平台
1.8K stars
- intel/auto-round
A simple and effective post training quantization toolkit for high-accuracy low-bit LLM inference|简洁且高效的后训练量化工具包
1.6K stars
- ovg-project/kvcached
Virtualized Elastic KV Cache for Dynamic GPU Sharing and Beyond
1.5K stars
- OpenMOSS/MOSS-TTSD
A multilingual model for long-form, multi-speaker dialogue synthesis with flexible speaker control and zero-shot voice cloning
1.4K stars
- sgl-project/sglang-omni
SGLang-Omni is a high-performance serving framework for audio models (TTS, ASR) and unified multimodal models.
1.3K stars
- ModelCloud/GPTQModel
LLM model quantization (compression) toolkit with HW acceleration support for Nvidia, AMD, Intel GPU and Intel/AMD/Apple CPU via HF, vLLM, and SGLang.
1.3K 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
- 4h agoOCT 24, 2026