Code Metrics
Code metrics can be produced by static code analysis tools to determine complexity and non-standard practices. Why are code metrics important? Code metrics allow developers to find problematic codebase areas that may need refactoring. In addition, some metrics such as technical debt assist developers in communicating to non-technical audiences why issues with a system are occurring. Open source co
GitHub - vintasoftware/python-linters-and-code-analysis: Python Linters and Code Analysis tools curated list
Wrappers: Coala - Wrapper of code linters and fixers for various languages, including Python. Written in Python. Wraps all popular Python linters: https://coala.io/ bandit, isort, mypy, pycodestyle, pydocstyle, pyflakes, pylint, pyroma, radon, vulture, yapf also, has exclusive checks: PEP8 for Jupyter notebooks: https://github.com/coala/coala-bears/blob/master/bears/python/PEP8NotebookBear.py __in
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Python linters for better code quality - Alexey Smirnov
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