ludo-technologies/pyscn

Health v2 · maintenance only

Adoption not part of the score

1039 stars · 69 forks observed · 2026-09-03

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

pyscn is a fast Python code quality analyzer written in Go that performs structural analysis using control-flow graphs, tree-sitter syntax trees, and import graphs. It scores codebases 0-100, detecting dead code, duplicate code (Type 1-4 clones), complexity hotspots, circular imports, and class design issues, with HTML reports, CI gates, MCP server, and AI agent skills.

Use cases

• find dead and unreachable code in my python project
• detect duplicate and copy-pasted code worth refactoring
• measure cyclomatic and cognitive complexity of functions
• check for circular imports before merging
• score overall codebase health with an HTML report
• set up a code quality gate in CI
• find complex code to simplify with an AI coding agent
• analyze class coupling and cohesion metrics

When to choose

• you need structural analysis beyond what linters like ruff or pylint catch
• you want fast whole-repo analysis (100k+ lines/sec) with zero Python runtime dependencies
• you use AI coding agents (Claude Code, Cursor) and want them to run quality checks
• you need CI quality gates with configurable complexity thresholds
• you want architecture insights like import cycles and module communities

When to avoid

• you need style linting (use ruff) or type checking (use mypy/pyright)
• you need runtime bug, security, or performance detection
• you want to analyze Jupyter notebooks directly
• you need auto-fixing of reported issues

Facets

cli-tool · maturity active

static-site-generator linter developer-tools developer-tools windows cli python go static-analysis code-quality clone-detection cyclomatic-complexity dead-code architecture-analysis mcp tree-sitter ci-cd python linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="ludo-technologies/pyscn")