Repowise · Codebase intelligence
hurtener / penguiflow
A tiny, dependency-light Python library (penguiflow) that lets define typed, concurrent agent pipelines.
Does the health score find the bugs?
Repowise ranks every file by predicted defect risk. Of the 20 files it flags as riskiest, 4 (20%) actually needed a bug fix in the last 6 months — 19.7× better than picking files at random.
Languages
- markdown47.4%
- python38.9%
- typescript8.0%
- yaml3.4%
- json1.4%
- javascript0.6%
- toml
Code health
Full report- Code health80
- Dead code94
- Hotspot density99
- Bus factor4
How hurtener/penguiflow works
A tiny, dependency-light Python library (penguiflow) that lets define typed, concurrent agent pipelines. This page is an auto-generated, always-fresh map of the hurtener/penguiflow 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 789 source files, 4,041 symbols, and 8 languages. Git churn analysis flags 4 high-frequency files as hotspots — places where bugs, rewrites, and code review tend to concentrate. The dependency graph clusters into 468 tightly-coupled module communities.
Use the panels 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.