datawhalechina/zero-to-sglang
Official SGLang x Datawhale course on LLM inference: understand inference, build a mini-sglang from scratch, then read the real SGLang source and land your first PR. Available in English and Chinese.
About the project
A Datawhale and RadixArk course on LLM inference: explains KV Cache, prefill/decode and related concepts, then walks through building a mini-sglang from scratch toward reading the real SGLang source and landing a first PR.
Useful for
- Understand how KV Cache works and how prefill differs from decode
- Build your own mini-sglang step by step following the course
- Prepare for a first SGLang PR by studying its source code
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 0 stars so far today, about 29 expected by the end of the day. The usual pace is 11 per day, so that's 2.7× as much.
- Interest is fading: the two-day pace is 46% of the previous week and a half.
- The repository is 18 days old and already has 849 stars.
- Top new repositories this month: #99.
- About 5 forks a day — people are taking the code.
- Recent forks include notable developers: @mbrukman (386 followers).
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 849
- Stars in a day
- 29
- Forks
- 70
- Issues and pull requests
- 58
- Watchers
- 4
- Language
- Python
- Created
- August 27, 2026
- Last push
- September 12, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 14, 2026Top new repositories this month: #98
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