Code Metrics Tool

The Code Metrics Tool analyzes a codebase to quantify structural quality using standard software metrics. It computes lines of code, function counts, cyclomatic complexity, dependencies, comment density, and Halstead-inspired indicators from a code snapshot or repository input. The output includes a 0–100 summary score plus interpretation, along with a per-file breakdown when provided.
Conceptually, it normalizes raw counts into interpretable indices, applies established formulas, and flags high-risk areas. Users supply required inputs (loc, functions, files) and optional per-file data; the tool aggregates into a summary score, a maintainability index, and a complexity index, with optional per-file data to guide refactoring.
Who benefits includes developers, team leads, architects, project managers, and QA engineers. Unique value lies in combining total and per-file metrics, language weighting, historical trend support, and flexible export formats. Common use cases are onboarding a new codebase, tracking debt across releases, and benchmarking teams. Core features include data ingestion, metric computation, normalization, threshold-based risk categorization, and API-ready payloads.
The tool emphasizes clarity and actionable guidance: it translates metric results into risk levels and prioritized hotspots, enabling focused improvements and faster decision cycles.