Dependency Tree Mapping

To visualize dependencies and generate a risk report, scan multi-language project files to extract package and project references, producing a Mermaid dependency graph and a Markdown risk summary that highlights critical nodes, cycles, and version conflicts.

Yes, you can extract dependency graphs from Node.js, .NET, and Python projects simultaneously by parsing package.json, csproj, and Python dependency data to map cross-language package references and identify shared critical nodes.

Dependency tree risk analysis identifies single-points-of-failure, critical libraries, cycles, and version conflicts within your codebase. You need it when planning refactoring efforts to ensure robust architecture and uncover potential failure points.

Yes, this dependency mapping approach works with csproj and package.json files, parsing them to extract project and package references, which are then used to build a visual Mermaid graph and a Markdown risk summary.

Find circular dependencies and version conflicts by scanning your multi-language workspace to extract package references, automatically identifying cycles and version conflicts, and outputting them in a Markdown risk report.

Automated dependency tree mapping for multi-language workspaces is limited to parsing csproj, package.json, and Python dependency data, meaning it extracts package and project references but may not capture external or unlisted dependencies.