python-dead-code

To find and remove unused Python code, you can scan your project directory to detect unused imports, variables, functions, and classes using static analysis tools like vulture and ruff. This process identifies dead code to improve overall code quality and reduce maintenance overhead.

The best way to detect dead code in Django or FastAPI applications is using a scanning tool that provides framework-aware false positive handling. This ensures that framework-specific patterns like decorators or route injections are not incorrectly flagged as unused functions or variables.

Yes, you can automate Python dead code detection by integrating scanning tools into GitHub Actions CI/CD pipelines and pre-commit hooks. This establishes automated code hygiene checks to ensure no unused imports or functions are deployed.

Ruff works with vulture to perform Python linting and refactoring by combining their detection capabilities. Using both tools together provides comprehensive identification of unused imports, variables, and dead code for effective project cleanup.

Python dead code scanners often report false positives for pytest fixtures because testing frameworks dynamically reference functions and variables. Framework-aware false positive handling specifically filters out these testing library patterns to prevent incorrect dead code flags.