Skip to main content

An intelligent Python code quality analyzer with architectural guidance

Project description

pyscn - Python Code Quality Analyzer

Article PyPI Go License CI

pyscn is a code quality analyzer for Python vibe coders.

Building with Cursor, Claude, or ChatGPT? pyscn performs structural analysis to keep your codebase maintainable.

Quick Start

# Run analysis without installation
uvx pyscn analyze .
# or
pipx run pyscn analyze .

Demo

https://github.com/user-attachments/assets/07f48070-c0dd-437b-9621-cb3963f863ff

Features

  • 🔍 CFG-based dead code detection – Find unreachable code after exhaustive if-elif-else chains
  • 📋 Clone detection with APTED + LSH – Identify refactoring opportunities with tree edit distance
  • 🔗 Coupling metrics (CBO) – Track architecture quality and module dependencies
  • 📊 Cyclomatic complexity analysis – Spot functions that need breaking down

100,000+ lines/sec • Built with Go + tree-sitter

MCP Integration

Run pyscn analyses straight from AI coding assistants via the Model Context Protocol (MCP). The bundled pyscn-mcp server exposes the same tools used in the CLI to Claude Code, Cursor, ChatGPT, and other MCP clients.

MCP Use Cases

You can interact with pyscn with your AI coding tools:

  1. "Analyze the code quality of the app/ directory"

  2. "Find duplicate code and help me refactor it"

  3. "Show me complex code and help me simplify it"

Claude Code Setup

claude mcp add pyscn-mcp uvx -- pyscn-mcp

Cursor / Claude Desktop Setup

Add to your MCP settings (~/.config/claude-desktop/config.json or Cursor settings):

{
  "mcpServers": {
    "pyscn-mcp": {
      "command": "uvx",
      "args": ["pyscn-mcp"],
      "env": {
        "PYSCN_CONFIG": "/path/to/.pyscn.toml"
      }
    }
  }
}

The instructions like "Analyze the code quality" trigger pyscn via MCP.

Dive deeper in mcp/README.md for setup walkthroughs and docs/MCP_INTEGRATION.md for architecture details.

Installation

# Install with pipx (recommended)
pipx install pyscn

# Or with uv
uv tool install pyscn
Alternative installation methods

Build from source

git clone https://github.com/ludo-technologies/pyscn.git
cd pyscn
make build

Go install

go install github.com/ludo-technologies/pyscn/cmd/pyscn@latest

Common Commands

pyscn analyze

Run comprehensive analysis with HTML report

pyscn analyze .                              # All analyses with HTML report
pyscn analyze --json .                       # Generate JSON report
pyscn analyze --select complexity .          # Only complexity analysis
pyscn analyze --select deps .                # Only dependency analysis
pyscn analyze --select complexity,deps,deadcode . # Multiple analyses

pyscn check

Fast CI-friendly quality gate

pyscn check .                         # Quick pass/fail check
pyscn check --max-complexity 15 .     # Custom thresholds
pyscn check --max-cycles 0 .          # Only allow 0 cycle dependency
pyscn check --select deps .           # Check only for circular dependencies
pyscn check --allow-circular-deps .   # Allow circular dependencies (warning only)

pyscn init

Create configuration file

pyscn init                         # Generate .pyscn.toml

💡 Run pyscn --help or pyscn <command> --help for complete options

Configuration

Create a .pyscn.toml file or add [tool.pyscn] to your pyproject.toml:

# .pyscn.toml
[complexity]
max_complexity = 15

[dead_code]
min_severity = "warning"

[output]
directory = "reports"

⚙️ Run pyscn init to generate a full configuration file with all available options

CI/CD Integration

# GitHub Actions
- uses: actions/checkout@v4
- run: pipx run pyscn check .    # Fail on quality issues

# Pre-commit hook
- repo: local
  hooks:
    - id: pyscn
      name: pyscn check
      entry: pipx run pyscn check .
      language: system
      pass_filenames: false
      types: [python]

Documentation

📚 Development GuideArchitectureTesting

Enterprise Support

For commercial support, custom integrations, or consulting services, contact us at contact@ludo-tech.org

License

MIT License — see LICENSE


Built with ❤️ using Go and tree-sitter

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

pyscn-1.4.0-py3-none-win_amd64.whl (8.0 MB view details)

Uploaded Python 3Windows x86-64

pyscn-1.4.0-py3-none-manylinux_2_17_x86_64.whl (7.7 MB view details)

Uploaded Python 3manylinux: glibc 2.17+ x86-64

pyscn-1.4.0-py3-none-macosx_11_0_arm64.whl (7.2 MB view details)

Uploaded Python 3macOS 11.0+ ARM64

pyscn-1.4.0-py3-none-macosx_10_9_x86_64.whl (7.7 MB view details)

Uploaded Python 3macOS 10.9+ x86-64

File details

Details for the file pyscn-1.4.0-py3-none-win_amd64.whl.

File metadata

  • Download URL: pyscn-1.4.0-py3-none-win_amd64.whl
  • Upload date:
  • Size: 8.0 MB
  • Tags: Python 3, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pyscn-1.4.0-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 ea53fcb92fbc9f0b10cd3e83f79aef6ce195d26b98f6aa61876f31fcffa7028c
MD5 771a5f3d8b3db9e2e6a1e5d7f3ff6dc3
BLAKE2b-256 a7882355e81fb8576dfd40839629eda6ad669384b79c5e108f3358e0bd2d6ff1

See more details on using hashes here.

File details

Details for the file pyscn-1.4.0-py3-none-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for pyscn-1.4.0-py3-none-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 685f3a82e2b5a2e011ff6160c52d04eabe9073bd37a4a68bcf7347417945a42b
MD5 9230fb07ce0f6ec5fed3adc3bc5400ae
BLAKE2b-256 7f0cb2f670ad61e057a9c8b3d2d0d87ed2a842f954306f11b7818d41105d369c

See more details on using hashes here.

File details

Details for the file pyscn-1.4.0-py3-none-macosx_11_0_arm64.whl.

File metadata

  • Download URL: pyscn-1.4.0-py3-none-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 7.2 MB
  • Tags: Python 3, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pyscn-1.4.0-py3-none-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 12234e4ccd157bd81fb54b1bb7526a625f5e8f3f325924e4e0ac862d624b786b
MD5 f5ee3a04a14b62e8aa190732c12e02f6
BLAKE2b-256 0bf8dd88089608bcb1cfeb78d3f417339d9ba32ba71208f55025323474d9386b

See more details on using hashes here.

File details

Details for the file pyscn-1.4.0-py3-none-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyscn-1.4.0-py3-none-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 fac56432a074c0065aee01d88bae1e20e0f831f687ced5274b04cbfb78987d76
MD5 f42277106f0268d1796b27d4aabbd8aa
BLAKE2b-256 74cbee17ed5a8d43923fc554bc4929df017f79f30bd01c433f185aad882134cb

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page