Yes — there are several libraries and tools in Python that help you check, analyze, and improve your code quality. Here are the most widely used ones, explained in simple text with short examples:
1. pylint – checks for errors and enforces coding standards.
Example:
pylint my_script.py
This will scan your code and show warnings like unused variables, bad naming, or missing docstrings.
2. flake8 – focuses on style and PEP8 compliance.
Example:
flake8 my_script.py
It will flag things like extra spaces, long lines, or inconsistent indentation.
3. black – auto-formats your code to follow best practices.
Example:
black my_script.py
It rewrites your file with consistent formatting (indentation, spacing, quotes).
4. isort – automatically sorts and organizes imports.
Example:
isort my_script.py
It arranges imports alphabetically and groups them properly.
5. mypy – checks type hints to catch type errors before running.
Example:
mypy my_script.py
If your function expects a list of strings but you pass integers, it will warn you.
6. bandit – scans for common security issues.
Example:
bandit -r .
This checks all files in your project for unsafe code patterns like hardcoded passwords.
7. coverage.py – measures how much of your code is covered by tests.
Example:
coverage run -m pytest
coverage report
It shows which lines of code were tested and which were not.
So in short:
- pylint / flake8 → code style and errors
- black / isort → auto-formatting and import order
- mypy → type checking
- bandit → security issues
- coverage.py → test coverage
Recommended order in practice:
- black → format
- isort → fix imports
- flake8/pylint → style & logic issues
- mypy → type checking
- bandit → security scan
- coverage.py → testing completeness