codebase-inspection

You can analyze a codebase to count lines of code and view a programming language breakdown by running static code analysis. This process provides total lines of code, language distribution, and code-to-comment ratios.

The code-to-comment ratio measures the proportion of comment lines to executable code lines. Assessing this ratio alongside a language breakdown helps you evaluate codebase composition and gain insights into documentation quality and structure.

Yes, you need pygount installed to perform static code analysis. The codebase inspection process requires pygount as a dependency to automate the counting of lines of code and generate codebase metrics.

To analyze the size and structure of a new codebase quickly, run an automated codebase analysis in your current directory. This provides immediate metrics on lines of code, language breakdown, and code-to-comment ratios.

Yes, codebase metrics provide a detailed language breakdown that allows you to assess the programming language composition of your repository. This helps you understand the size and structure of your codebase.

Lines of code analysis provides metrics on size, language breakdown, and code-to-comment ratios, but does not measure code complexity or runtime performance. It is intended for repository managers and developers evaluating structural composition.