Code Metricsv1.0.0

A SaaS company wants to assess code quality before a major release. Using code-metrics, the team gets a breakdown of lines of code, comment ratios, and cyclomatic complexity across languages, identifying high-complexity functions that need refactoring.

Maintainers of an open-source project use code-metrics to generate a JSON report of code distribution, largest files, and function counts. This data helps prioritize code cleanup and attract contributors by demonstrating project quality.

An investor considering acquiring a startup runs code-metrics on the target's codebase to gauge complexity, code debt, and language composition. The analysis reveals over 500 high-complexity functions, informing risk assessment.

A development team managing a polyglot codebase (Python, JavaScript, Go, Rust) uses code-metrics to compare code distribution and comment ratios across languages, ensuring consistent documentation practices.

Offer code-metrics as a plugin for CI/CD pipelines (e.g., GitHub Actions, GitLab CI). Developers automatically receive analysis on each commit, helping catch quality regressions early.

Provide a web dashboard that schedules code-metrics runs on customer repositories and visualizes trends. Free tier includes basic metrics; paid plans add complexity analysis and historical comparisons.

Use code-metrics internally to deliver code quality audit reports as part of consulting engagements. Clients pay for the analysis, recommendations, and implementation support.