dependency-analyzer

To detect circular dependencies, you build the full import graph of your codebase to identify direct, indirect, and type-only circular imports across supported languages like Python and TypeScript. This surfaces hidden anti-patterns that cause runtime deadlocks or import errors before they reach production.

The best way to enforce clean architecture is by applying layered architecture rules to your import graph to flag layer violations and cross-module coupling. This calculates instability mismatches and distance from the main sequence metrics to align your codebase with modern architectural compliance standards.

Yes, dependency analysis works with Java, C#, C, C++, and SQL files. It generates import graphs for these languages to support runtime, type-only, and test dependencies, allowing you to perform architecture compliance checks across a multi-language software project.

You assess refactoring risk by analyzing module coupling and calculating instability, afferent, and efferent coupling metrics from your dependency graph. This identifies excessive coupling and instability mismatches, providing actionable fix recommendations before you modify interconnected modules.

Yes, you can use circular dependency detection for CI pipeline gating. By scanning your source code during the build process, the analysis produces structured findings with severity tiers that block merges if high-risk architectural violations or circular imports are detected.

Unmanaged module coupling leads to fragile builds because excessive coupling makes modules brittle to upstream changes and breaks architectural boundaries. You fix it by mapping the codebase dependency graph, identifying high efferent coupling, and applying actionable fix recommendations to isolate modules.