this post was submitted on 15 Feb 2025
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Python

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[โ€“] [email protected] -3 points 3 weeks ago (7 children)

The OP author is very familiar with uv, having written multiple articles on it. Pushes it onto his students. So i get it, the article is focused on uv and he is invested in uv. This assessment is a tiny bit unfair, but enough, only, to justify reading the article with a tiny grain of salt.

For package management, i'm happy with pyenv. So there i have a bias.

The biggest praise i have is, it follows the UNIX philosophy, do one thing and do it well. uv does multiple things, the issue comes down to resources required to maintain a super complex thing. Especially in a completely different coding language! I DONT GIVE TWO SHIATS IF ITS FASTER, I care about maintainability after the original geniuses disappear and they will.

dependency management

Any blog post which doesn't mention competitors, tiny grain of salt --> giant grain of salt.

If not mentioned, have to assume either don't know about them or haven't bothered to try them.

What are the actual competitors to uv (specifically for dependency management)?

The only package mentioned is: poetry

poetry also violates the UNIX philosophy. It combines build backend with dependency management. I want them separate.

Open up that super powerful doom pr0n machine, AI, and get it to find the other (dependency management packages). Mention them in the blog post.

[โ€“] Doccool 5 points 3 weeks ago

The article quite clearly mentions competition:

Because I'm a freelancer dev, and also a trainer, I get to navigate those waters and I've seen all other tools fail spectacularly. pyenv, poetry, pipenv, pdm, pyflow, pipx, anaconda...

As well as discusses anaconda later in relation to CLI and GUI.

The speed is really fantastic, there's nothing else I can say. If you don't see a benefit, the it's fine of course. But going from insanely long resolution times in my previous work place using conda to now resolving stuff in a matter of seconds is incredible. uv is the first tool I have used for Python that just feels right.

I recommend listening to the podcast from Real Python that talks with Charlie, they discuss the commercial aspect https://realpython.com/podcasts/rpp/238/

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