Code health
KGerring/fca_search scores 8.6 out of 10 on defect risk, which Repowise rates Excellent. Maintainability scores 8.9 out of 10. Static performance risk scores 9.9 out of 10. The three are scored separately and never blended into a single number.
Full health report- Files
- 57
- Symbols
- 433
- Modules
- 17
- Doc pages
- 0
- Dead exports
- 18
Read more about KGerring/fca_search
- 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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Repowise badge
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[](https://repowise.dev/repo/KGerring/fca_search)Code health badge
Average health across every file, straight from the latest index.
[](https://repowise.dev/repo/KGerring/fca_search)How KGerring/fca_search works
This page is an auto-generated, always-fresh map of the KGerring/fca_search 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 57 source files, 433 symbols, and 3 languages, organised into 17 modules, led by python, markdown, json. Static analysis leaves 75 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.