Multi-Language Project Analysis with PMAT

Multi-language quality analysis compares metrics like complexity, maintainability, and dependencies across each language in your polyglot codebase. Use `pmat analyze quality --path . --multi-language` to generate per-language quality reports and identify gaps between language implementations.

Language detection identifies all programming languages present and quantifies their proportion of the codebase. Run `pmat analyze languages --path . --output language_stats.json` to get language discovery and distribution metrics showing code volume by language.

Cross-language architecture mapping visualizes integration points and patterns between language components. Use `pmat visualize-architecture --path . --output architecture_map.svg` to generate architectural diagrams showing how different languages interact within your system.

Complexity comparison groups metrics by language to reveal which implementations have higher cyclomatic or structural complexity. Execute `pmat analyze complexity --path . --group-by language --output complexity_by_lang.json` to benchmark complexity across each language.

Language-specific context extraction retrieves detailed analysis focused on one language, including framework patterns, dependencies, and quality indicators. Run `pmat context --path . --language [language] --output context.md` to generate targeted insights for that language.

Multi-language analysis requires only the codebase source directory as input; no language-specific runtimes or compilers are needed. The tool detects languages automatically and generates architecture and quality reports without additional configuration.