fastapi / fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Code health
fastapi/fastapi scores 9.2 out of 10 on defect risk, which Repowise rates Excellent. Maintainability scores 9.4 out of 10. Static performance risk scores 10.0 out of 10. The three are scored separately and never blended into a single number. 16 of 2,883 files are git hotspots, the places where changes and bug fixes concentrate.
Full health report- Files
- 2.9k
- Symbols
- 6.5k
- Modules
- 6
- Doc pages
- 1.4k
- Dead exports
- 20
Where the risk concentrates
All 16 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 |
|---|---|---|---|---|
| routing.pyfastapi | 99.9th %ile | 8bug magnet | 55 | 18 |
| test_frontend.pytests | 99.7th %ile | 2 | 1bus factor 1 | 6 |
| test_router_include_context.py |
Read more about fastapi/fastapi
- 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 explanationsProModule-by-module documentation generated from source
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Average health across every file, straight from the latest index.
[](https://repowise.dev/repo/fastapi/fastapi)How fastapi/fastapi works
FastAPI framework, high performance, easy to learn, fast to code, ready for production This page is an auto-generated, always-fresh map of the fastapi/fastapi 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 2,883 source files, 6,469 symbols, and 7 languages, organised into 6 modules, led by markdown, python, yaml. Static analysis leaves 2,293 open findings across the three health dimensions.
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