MonkeyType VS pipx

i can't, unfortunately, it was youtube internal code. but by the same token a lot of the performance stuff was specific optimisations for that code and would not really generalise.

one of the current "extremely large python codebase" projects is instagram, and they do have some public repos, notably monkeytype (https://github.com/Instagram/MonkeyType) which youtube did have its own analogue of, and cinder (https://engineering.fb.com/2022/05/02/open-source/cinder-jit...). in general facebook's engineering blog is a great place to read about this sort of thing.

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

Use pipx to install Cog and my aws-sso-config-builder tool in the same environment:

Given how useful pre-commit is across projects I generally recommend installing via pip install --user, making it part of a tooling virtual environment, or using pipx:

I would recommend going with PipX. You toss in a setup.py file, put your project on github, and then anyone on any OS can pipx install your project. It's a glorious thing. The only thing they need is 1) some supported version of Python installed, 2) pipx installed. They can even get updates by calling pipx upgrade.

See https://github.com/pypa/pipx/issues/278

Good overview. There are quite a few on there I was not aware of. That said, I am not sure the organizational schema makes a tone of sense. I would assume most users that come across this would be looking for a package manager for a specific platform and then weighing the options of binary/source/etc., instead of the other way around.

Also, pipx (https://github.com/pypa/pipx) would be a good addition to the list. I'd add it but I'm not sure where it would go. Maybe every section? It's cross platform and handles both binary and source based app distributions.

Pip is pretty simple and useful for me - you have your own environment for every script/program, requirements.txt is simple to understand too... It's kinda good solution for regular users... For more complex projects we have Poetry, PipX, that was inspired by NPM(x), I think...

What benefit would joining your cult bestow upon me that brew does not already?

My brew list is intentionally very short and my faffing about desire is limited.

Generally I use brew to pull in asdf (https://github.com/asdf-vm/asdf) to install programming languages/tooling, it works flawlessly.

I use Pipx (https://github.com/pypa/pipx) to install python thingies (such as yt-dlp) as a cli. Go and Rust handle binaries in their languages beautifully and without issues.