nagarajugunda / pyalgomate
Code health
nagarajugunda/pyalgomate scores 6.2 out of 10 on defect risk, which Repowise rates Fair.
Full health report- Files
- 95
- Symbols
- 1.7k
- Modules
- 26
- Doc pages
- 0
- Dead exports
- 68
Read more about nagarajugunda/pyalgomate
- 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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[](https://repowise.dev/repo/nagarajugunda/pyalgomate)Code health badge
Average health across every file, straight from the latest index.
[](https://repowise.dev/repo/nagarajugunda/pyalgomate)How nagarajugunda/pyalgomate works
This page is an auto-generated, always-fresh map of the nagarajugunda/pyalgomate 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 95 source files, 1,713 symbols, and 5 languages, organised into 26 modules, led by python, yaml, shell. Static analysis leaves 498 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.