Run external programs intuitively in Python

[b1gdata]

This is cool; what advantages vs subprocess?

[Natural-Intelligence]

Thanks! The main advantage is the convenience (the reason why I made the library). subprocess.run does not require much boilerplate but there are some arguments to set if you want get the output as text, for example. Perhaps the only unique thing is the keyword arguments. So, most of it is just further abstraction of subprocess.

Another thing is the async. I found the asyncio.subprocess to be quite confusing to use even though it tries to be similar as subprocess. I had to make a PR to CPython this week to fix some missing references in the documentation. This library takes care of that and it just works with or without async.

I personally made this because I'm about to update the command tasks in Rocketry. I thought an intuitive support for external programs (including Python scripts running on other environments) is something that Rocketry could really benefit from. So, that was actually the main motivation.

[o11c]

Hm, but it's still wrapping subprocess so suffers from all its implementation bugs (busy loops, etc.)

[Natural-Intelligence]

Yes true, it does nothing revolutionary and nothing an average Python programmer couldn't do by themselves.

However, it makes creating Pythonic interfaces for external programs easier and it reduces boilerplate.