codebase-inspection

To measure lines of code and language breakdown in a git repository, use pygount to analyze the codebase. This generates a per-language summary including file counts, code lines, and comment lines while excluding dependency and build artifacts.

Calculate code-to-comment ratios across multiple languages by running pygount on your project directory. The tool analyzes code composition and outputs documentation density metrics to help estimate overall repository quality.

Exclude dependency folders when scanning for code metrics by applying the --folders-to-skip filter in pygount. You can also use optional --suffix filters to narrow file types and prevent misleading or excessively long repository scans.

Scoping onboarding effort for a new codebase involves checking language distribution and comment density using pygount. This quickly estimates repository size and composition without manual counting, helping gauge project complexity.

Pygount works with multiple programming languages for repository sizing by automatically detecting file types and producing a per-language summary. It measures code lines and comment ratios across the entire project directory.

Repository scans return inflated line counts when dependency and build artifacts are included in the analysis. Apply the --folders-to-skip parameter in pygount to exclude these directories and ensure accurate code metrics.