Vulture

Vulture

Vulture is an open source tool for analyzing Python code to find unused code and dependencies. It can identify dead code, unused functions and classes, circular imports, and more to help clean up Python projects.
Vulture image
python code-analysis dead-code-detection unused-code circular-imports

Vulture: Open Source Python Code Analysis Tool

Identify dead code, unused functions and classes, circular imports, and more with Vulture, an open source tool for analyzing Python code and helping you clean up your projects.

What is Vulture?

Vulture is an open-source Python tool created for analyzing codebases to find unused code. It goes through Python files, packages, and modules to identify dead code that can be safely deleted without impacting the program's functionality.

Some of the main things Vulture detects include:

  • Unused functions and classes
  • Unused imports and variables
  • Unreachable code blocks
  • Dead code after return statements, break/continue statements, and exceptions
  • Pointless comparisons and casts
  • Unused code in __init__.py files
  • Circular imports

By removing unused and dead code, Vulture can help reduce code complexity, improve maintainability, and decrease the size of Python projects. It's useful for cleaning up legacy Python systems by getting rid of cruft that builds up over time.

Vulture is customizable in how sensitively it detects dead code. Thresholds can be set for how many calls need to be made to a function before it's considered used. Filters can also be implemented to ignore certain files or code marked with # noqa comments.

Overall, Vulture is a valuable open-source tool for Python developers and teams looking to implement better code hygiene and streamline their projects by removing unnecessary code not contributing value to their programs.

Vulture Features

Features

  1. Detects unused code
  2. Finds dead code
  3. Identifies unused functions and classes
  4. Detects circular imports
  5. Helps clean up Python projects

Pricing

  • Open Source

Pros

Open source

Easy to use

Helps improve code quality

Speeds up development by removing unused code

Cons

Only works for Python code

Can have false positives

Requires some setup and configuration


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