Metrics – tools for static analysis
Static code analysis tools can provide a rich summary of information on the static properties of your code, which can provide insights into aspects such as complexity and modifiability/readability of the code.
Python has a lot of third-party tool support, which helps in measuring the static aspects of Python code such as these:
- Conformance to coding standards such as PEP-8
- Code complexity metrics such as the McCabe metric
- Errors in code such as syntax errors, indentation issues, missing imports, variable overwrites, and others
- Logic issues in code
- Code smells
The following are some of the most popular tools in the Python ecosystem that can perform such static analysis:
- Pylint: Pylint is a static checker for Python code, ...
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