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Facts
| Fact | 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. | StartLuxLabs/StartLux-Prism Fast, exact inference for StartLux-Decision models on NVIDIA GPUs: the released GGUF files on int8 and 4-bit tensor cores, behind the /v1/systemone API, with up to 5.3× lower latency than vLLM in FP8 and bit-identical answers. |
|---|---|---|
| Stars | 1,718 | 298 |
| Net stars, last 30 days | +331 | Not recorded |
| Largest star day | +359 on Sep 7, 2026 | +38 on Oct 23, 2026 |
| Milestone reached in the record | 1,000 on Sep 19, 2026 | 100 on Oct 27, 2026 |
| Forks | 139 | 5 |
| Language | Python | Python |
| License | No license | No license |
| Created | Aug 27, 2026 | Oct 13, 2026 |
| Last push | Nov 5, 2026 | Oct 27, 2026 |
| Archived | No | No |
| Health facts: Maintenance | 3 of 4 checks | 3 of 4 checks |
| Health facts: Releases | 0 of 3 checks (1 without data) | 0 of 3 checks (1 without data) |
| Health facts: Security practice | 0 of 1 check | 0 of 1 check |
| Health facts: Community files | 0 of 3 checks | 0 of 3 checks |
| Commits, last 13 weeks | 191 | 28 |
| Weeks with commits, last 52 | 10 of 52 | 1 of 52 |
| In the Repository Index since | Oct 27, 2026 | Oct 28, 2026 |
Topics that all of them have on the Repository Host: cuda, inference-engine, llm-inference. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined