We’re using poetry and it solves our problems. I’ll have to look into uv, but I don’t feel in any rush to switch away from poetry.
I’ve been mostly a poetry guy but have tested out uv a bit lately. Two main advantages I see are being able to install Python (I relied on pyenv before) and it’s waaay faster at solving/installing dependencies.
Yeah, it certainly looks nice, but my problems are:
- everything runs in a docker container locally, so I don’t think the caching is going to be a huge win
- we have a half-dozen teams and a dozen repositories or so, across three time zones, so big changes require a fair amount of effort
- we just got through porting to poetry to split into dependency groups, and going back to not having that is a tough sell
So for me, it needs to at least have feature parity w/ poetry to seriously consider.
uv is still faster with a cold cache
and uv does have dep groups
about the second problem, there’s an issue open on writing a migration guide, but migrating manually is not too difficult.
You should be using dockers cache mounts
https://docs.docker.com/build/cache/optimize/#use-cache-mounts