cswuyg / sglang
SGLang is a fast serving framework for large language models and vision language models.
Code health
cswuyg/sglang scores 6.6 out of 10 on defect risk, which Repowise rates Good. 893 of 4,719 files are git hotspots, the places where changes and bug fixes concentrate.
Full health report- Files
- 4.7k
- Symbols
- 44k
- Modules
- 189
- Doc pages
- 0
- Dead exports
- 2.3k
Where the risk concentrates
All 893 hotspotsRanked by prior bug fixes and change frequency, mined from the full git history rather than from the code alone.
| File | Churn | Prior fixes | Maintainers | Commits 90d |
|---|---|---|---|---|
| test_entrypoint.pytest/registered/debug_utils/comparator | 100.0th %ile | 0 | 3bus factor 1 | 33 |
| server_args.pypython/sglang/srt | 99.9th %ile | 0 | 94 | 174 |
| scheduler.pypython/sglang/srt/managers |
Read more about cswuyg/sglang
- OverviewFiles, symbols, languages, packages, git intelligence
- ArchitectureDependency graph, layered architecture, symbol index, and third-party dependencies
- Code healthPer-file health scores, hotspots, test coverage, dead code, and refactoring targets
- AI docsProModule-by-module documentation generated from source
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[](https://repowise.dev/repo/cswuyg/sglang)Code health badge
Average health across every file, straight from the latest index.
[](https://repowise.dev/repo/cswuyg/sglang)How cswuyg/sglang works
SGLang is a fast serving framework for large language models and vision language models. This page is an auto-generated, always-fresh map of the cswuyg/sglang repository, written primarily in Python. Repowise indexes the source, parses every symbol, computes a dependency graph, scores per-file code health from complexity, duplication, test coverage and churn, mines git history for hotspots and ownership, and lifts the resulting architectural decisions into a wiki you can read or query through MCP.
The codebase has 4,719 source files, 44,191 symbols, and 13 languages, organised into 189 modules, led by python, json, markdown. Static analysis leaves 12,038 open findings across the three health dimensions.
Use the links above to open the interactive dashboards, or connect this repo to your editor via the Repowise MCP server for grounded answers inside Claude, Cursor, or VS Code.