check-similarity-py

Detect Python code duplication by applying AST-based similarity analysis across your project to surface identical or near-duplicate functions and classes for refactoring. The tool scans codebases of any size and outputs actionable results suitable for code review.

AST analysis finds similar Python functions and classes by parsing code into abstract syntax trees and comparing structural patterns to identify near-duplicate code blocks. This approach surfaces refactoring opportunities across modules and packages within the project.

Yes, you can adjust the sensitivity threshold for Python code similarity detection using the --threshold option. This controls how aggressively the AST analysis matches duplicate functions and classes, allowing you to tune results for your specific refactoring needs.

The best way to find duplicate functions for Python code review is using AST-based static analysis to compare code structures across modules. This identifies refactoring opportunities and outputs actionable results that can guide maintainability improvements.

Yes, AST-based similarity analysis works on large Python codebases of varying sizes. The tool applies static analysis across the entire project to identify duplicate functions and classes, making it suitable for extensive refactoring guidance.

Print duplicate code results from a Python static analysis scan by using the --print option. This outputs the identified similar functions and classes directly, providing actionable data to guide your refactoring efforts during code review.