codebase-inspection

You can count lines of code and get a language breakdown by running a pygount-based inspection on the repository. This produces reliable summary metrics across source trees, including total lines of code, file counts, and language distribution.

To calculate the code-versus-comment ratio, apply a pygount-based codebase inspection to your source tree. It classifies repository content by language and outputs distinct counts for source code lines and comment lines.

Pygount requires excluded dependency directories to produce reliable repository sizing metrics. You must configure these exclusions during the codebase inspection to ensure generated LOC totals and language breakdowns reflect only your source code.

The best way to audit a codebase before a refactor is to measure repo size and language mix. A quick codebase inspection identifies which languages dominate the project and how much of the tree is source code versus documentation.

Yes, you can analyze local source trees. The codebase inspection uses pygount to apply language composition checks and code-versus-comment analysis across any repository content, not just GitHub projects.

Repository metrics show inflated lines of code when dependency directories are not excluded. Applying pygount with excluded dependency directories ensures the codebase audit produces reliable summary metrics for your actual source tree.