msherry
commented
6 years ago We could definitely add support for more checkers! I don't use any of the checkers mentioned myself, and in fact have only heard of mccabe before (which I believe is included by default when running flake8, which is already supported by flycheck-pycheckers). I'd be willing to do some work to support more checkers if there's some demand/interest in them, but I don't want to add them just for the sake of having them, you know? Do you have a sense of which ones people would be most interested in seeing?
Alternatively, pull requests would help to get additional checkers merged in more quickly! :)
ghost
I'm a big fan of flycheck-pycheckers. I ran across some additional checkers (most in prospector) that seem useful. I wonder how hard it'd be to include any of these in pycheckers?
[ ] bandit - 1119 stars, original repo + 15 stars Bandit is a tool designed to find common security issues in Python code. To do this Bandit processes each file, builds an AST from it, and runs appropriate plugins against the AST nodes. Once Bandit has finished scanning all the files it generates a report.
[ ] pydocstyle - 424 stars pydocstyle is a simple tool to warn about violations of the PEP257 Docstring Conventions. It produces messages for any divergence from the style guide.
[ ] vulture - 219 stars Vulture finds unused classes, functions and variables in your code. This could be useful if your project is an application rather than a library, however, if you do a lot of dynamic access or metaprogramming, Vulture will likely warn about unused code that is in fact used.
[ ] mccabe - 158 stars McCabe or cyclomatic complexity is a measurement of how many paths there are in a given function or method. It measures how complicated your functions are, and warns if they reach a certain threshold. Methods that are too complex are prone to logic errors, and should be refactored to a series of smaller methods.
[ ] dodgy - 52 stars (possibly unmaintained) Dodgy is a very simple tool designed to find ‘dodgy’ things which should not be in a public project, such as secret keys, passwords, AWS tokens or source control diffs.
[ ] pyroma - 43 stars Pyroma is a tool to check your setup.py to ensure it is following best practices of the Python packaging ecosystem. It will warn you if you are missing any package metadata which would improve the quality of your package. This is recommended if you intend to publish your code on PyPI.