tox VS MonkeyType

Tox is a powerful tool in Python development, primarily used for automating and standardised testing across multiple environments. It’s part of a larger vision of easing the packaging, testing, and release process of Python software. You should consider using tox in the following scenarios if your application needs to run across different Python versions, tox can help ensure your code works consistently across all these versions; If your project has complex dependencies, tox can manage and isolate these dependencies in different environments.

Another less heavyweight solution than Docker is Tox – handy for when you need to test software with multiple different versions of Python.

MonkeyType collects runtime types of function arguments and return values, and can automatically generate stub files or add type annotations directly to your Python code based on the types collected at runtime.

To alleviate the burden of manual annotation, MonkeyType offers a clever solution. It dynamically observes the types entering and leaving functions during code execution. Based on this observation, it generates a preliminary draft of type annotations. This significantly reduces the effort needed to add type hints to legacy code.

https://github.com/instagram/MonkeyType can perform the call logging, and can export a static typing file which is used by mypy, but also e.g. PyCharm. It doesn't expose such fine grained types, but you could build that based on the logged data.

Which introduces MonkeyType, a python library that generatics static type annotations by collecting runtime types.

Not sure if you're joking but there is something similar for python developed by a rather well known company https://github.com/Instagram/MonkeyType