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Code Maat is a command-line tool for analyzing version-control systems (Git, SVN, etc.) to uncover code health insights—development hotspots, author coupling, and temporal change metrics. Created by Adam Tornhill, it supports research in behavioral code analysis and is often paired with his books like Code as a Crime Scene and Software Design X‑Rays.
Features
- Extracts change frequency and co-change coupling
- Identifies developers' core areas in repo history
- Metrics for files/modules evolution hotspots
- Supports Git, SVN, Mercurial input sources
- Facilitates detection of technical debt trends
- Outputs CSV or console summaries
Project Samples
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