codebase-inspection

Analyze repository code size and language distribution by running pygount to quantify total lines of code, language breakdown, and file counts. The tool generates a detailed report showing codebase composition across all detected programming languages.

You can exclude noisy directories when calculating code metrics using configurable folders-to-skip. This ensures accurate metrics by filtering out vendor, build, or dependency folders that would otherwise skew your lines of code and language distribution analysis.

Get a per-file code and comment breakdown to identify technical debt by running pygount with detailed analysis enabled. This highlights individual file hotspots showing exact code lines, comment lines, and code-vs-comment ratios for targeted maintenance.

Measure code-vs-comment ratios in a monorepo by applying pygount to the repository root with appropriate folder exclusions. This scales to large monorepos, assessing overall codebase composition and maintenance readiness across mixed languages.

You can filter code analysis results by specific programming language or file type to focus on targeted areas. This allows you to isolate metrics for individual languages within a mixed codebase for focused maintenance assessment.

Pygount works for codebase inspection without external component dependencies listed in its configuration. It relies on pygount internally to perform language breakdown, count lines of code, and generate comment counts for repository health analysis.