DashFin-FarDb / financial-asset-relationship-db
A comprehensive 3D visualization system for interconnected financial assets across equities, bonds, commodities, currencies, and regulatory events
Code health
DashFin-FarDb/financial-asset-relationship-db scores 7.9 out of 10 on defect risk, which Repowise rates Good. Maintainability scores 9.1 out of 10. Static performance risk scores 9.8 out of 10. The three are scored separately and never blended into a single number. 57 of 732 files are git hotspots, the places where changes and bug fixes concentrate.
Full health report- Files
- 732
- Symbols
- 7.9k
- Modules
- 180
- Doc pages
- 810
- Dead exports
- 9
Where the risk concentrates
All 57 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 |
|---|---|---|---|---|
| app.py | 97.6th %ile | 19bug magnet | 11 | 4 |
| test_config_validation.pytests/unit | 97.1th %ile | 9bug magnet | 10 | 37 |
| test_microagent_validation.py |
Read more about DashFin-FarDb/financial-asset-relationship-db
- 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/DashFin-FarDb/financial-asset-relationship-db)How DashFin-FarDb/financial-asset-relationship-db works
A comprehensive 3D visualization system for interconnected financial assets across equities, bonds, commodities, currencies, and regulatory events This page is an auto-generated, always-fresh map of the DashFin-FarDb/financial-asset-relationship-db 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 732 source files, 7,915 symbols, and 11 languages, organised into 180 modules, led by python, markdown, yaml. Static analysis leaves 1,871 open findings across the three health dimensions.
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