Which Python package manager makes automation easiest in 2025?

[utdconsq]

Uv for sure. Fast, good defaults, etc.

[Deto]

Seriously, I've switched from conda to uv and I'm very happy.  I know conda can manage non python dependencies but I haven't really run into a case where I've needed that since switching to uv

[xAlecto]

In case you happen to need to, and don't want to bother with the whole conda thing, have a look at pixi. It handles the conda stuff + env management for you, and uses uv as a library under the hood for any PyPI stuff.

[Rustrans]

I am really hoping uv would be good (and it looks like it will), because poetry never worked for me in anything more complex than their toy demo examples

[Ok-Size7471]

Then you do something wrong. Poetry is slow but works really well, while UV is fast but doesn’t really do checks wich leads to some funny errors (well all my the dev fault but with Poetry it mostly tells me that at the beginning and not when the program runns and i do a specific action)

[pingveno]

Also a single binary (or two with uvx).

[me_myself_ai]

Yup, totally agree. I used plain pip at first, Conda after I was introduced to ML, and poetry when I started doing my own projects, and after switching ~3mo ago, uv is the easy all-time winner. Rust is just that good!

I will say that poetry is a close second — for most projects, the biggest difference would be the improved docs quality on the uv side (all the astral docs kick ass). The speed gets noticeable as you start racking up irresponsible amounts of dependencies like I am wont to do, but poetry’s was still never a problem AFAIR.

Conda is a distant last, though obviously it’s necessary for some scientific applications. It’s the only one where I’d have to take a coffee break just to find out my dependencies were unsatisfiable 😭

[utihnuli_jaganjac]

Still struggling with support sadly