python-dependency-cleaner 0.1.1

A tool to analyze and clean unused Python dependencies

PDC (python-dependency-cleaner)

PDC is a Python library and CLI tool that helps you analyze your Python projects to detect:

• ✅ Used dependencies
• ⚠️ Unused dependencies
• 📦 Package sizes
• 📊 Top-N largest packages

It also supports exporting reports in JSON and CSV formats.

✨ Features

• 🔍 Static analysis of imports using AST
• ⚡ Optional runtime import tracing
• 📑 Detect unused packages listed in requirements.txt
• 📦 Measure installed package sizes
• 📊 Export reports to JSON/CSV
• 🖥️ CLI support for quick usage
• 📈 Show top-N largest packages for optimization

📦 Installation

Install via pip (project name is python-dependency-cleaner):

🔗 PyPI: python-dependency-cleaner
🔗 Github: python-dependency-cleaner

pip install python-dependency-cleaner==0.1.1

Usage

As a library

from pdc import analyze_dependencies, export_json, export_csv, top_n_packages, print_packages

    # Analyze a project
    in_use, unused = analyze_dependencies(".")

    # print in_use
    print_packages(in_use, title="✅ In-Use Packages")

    # print unused
    print_packages(unused, title="⚠️ Unused Packages")

    # Export reports
    export_json(in_use, unused, filename="report.json")
    export_csv(in_use, unused, filename="report.csv")

    # Get top n largest packages
    n = 5
    top_packages = top_n_packages(in_use, unused, n)
    print_packages(top_packages, title=f"Top {n} largest packages:")

CLI Usage

# Analyze current directory
pdc .

# Export JSON report
pdc . --json

# Export CSV report
pdc . --csv

# Show top 10 largest packages
pdc . --top 10

Requirements

• Python 3.10+
• Optional: packages in your requirements.txt

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Submit a pull request

License

This project is licensed under the MIT License. See LICENSE for details.