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Checks for conflicting, unused or duplicate import aliases

Project description

pimporter 🐍📦

Clean up your code's cargo.

pimporter is a lightweight static analysis tool for inspecting Python import statements.
It helps you detect:

  • Aliases (as) used for multiple modules (conflicts)
  • Duplicate or hidden import aliases
  • Unused imports
  • Local vs external imports
  • Clean summary per file

🔧 Installation

Install via pip (after packaging it as a wheel or locally):

pip install pimporter

Or from a local directory:

pip install .

🚀 Usage

pimporter path/to/your/script_or_directory.py
  • You can pass either a single Python file or a directory (recursively scans .py files).
  • The tool will display detailed line-by-line output with color-coded status.

🖨️ Example Output

  [!!!] Conflict: Alias 'foo' is used for multiple modules:
    Line 14   -> wurst as foo
    Line 24   -> module_a.foo as foo
    Line 25   -> module_b.foo as foo

    Line   25 - [!!]   unused                   foo from module_b.foo

✅ Features

  • Detects alias conflicts across imports
  • Highlights hidden and explicit duplicates
  • Differentiates between local and external modules
  • Colorized terminal output using colorama
  • (Planned) CLI arguments for filtering and exporting
  • (Planned) Export as JSON or markdown

📦 Dependencies

  • colorama – for colorful terminal output

💡 Motivation

While linters like pylint, flake8, or ruff cover general import cleanliness, pimporter focuses specifically on the integrity and clarity of alias usage – particularly useful for larger codebases or shared projects where import patterns can become inconsistent or ambiguous.


🧪 Development

Clone and run:

python -m pimporter path/to/codebase/

📄 License

MIT License – use it, modify it, share it.


✍️ Author

Your Name optional.email@example.com]


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