PyChecker

PyChecker is a handy tool that helps you find bugs in your Python code. Think of it as a buddy that spots issues before they become a problem. It catches mistakes similar to what compilers do for other languages like C and C++. Since Python is more dynamic, some warnings might not always be spot-on, but don’t worry—false alarms are pretty rare!

How Does PyChecker Work?

So, how does PyChecker actually work? First off, it imports each module you’re using. If there’s an import error, then that module won’t get processed. The import gives some basic info about the module itself. Next up, it checks the code in every function, class, and method for potential problems.

Common Issues PyChecker Finds

• No global found (like trying to use a module without importing it)


• Passing the wrong number of parameters to functions/methods/constructors


• Mismatched format strings and arguments


• Using non-existent class methods and attributes


• Changing method signatures when overriding them


• Defining a function/class/method multiple times in the same scope


• Using a variable before setting it up


• 'self' not being the first parameter in a method definition


• Having unused globals and locals (modules or variables)


• No docstrings in modules, classes, functions, and methods

What’s New in This Release?

This version of PyChecker brings some exciting updates:

• Fixed SF Bug [1827412]: pychecker.bat now handles 9 command line args.


• No more warning about bool false alerts for 'in' and 'not in'.


• Add warning for using __set__, __get__, and __delete__ in old-style classes.


• Took care of spurious warnings related to these special methods.


• You can now ignore certain attribute names with --missingattrs option.


• Crashed when using keyword arguments? Not anymore!

You can download PyChecker here!