[_moof]

Same. It's game-changing - leaps and bounds above every previous attempt to make Python's packaging, dependency management, and dev workflow easy. I don't know anyone who has tried uv and not immediately thrown every other tool out the window.

[macNchz]

I use uv here and there but have a bunch of projects using regular pip with pip-tools to do a requirements.in -> requirements.txt as a lockfile workflow that I've never seen enough value in converting over. uv is clearly much faster but that's a pretty minor consideration unless I were for some reason changing project dependencies all day long.

Perhaps it never grabbed me as much because I've been running basically everything in Docker for years now, which takes care of Python versioning issues and caches the dependency install steps, so they only take a long time if they've changed. I also like containers for all of the other project setup and environment scaffolding stuff they roll up, e.g. having a consistently working GDAL environment available instantly for a project I haven't worked on in a long time.

[imp0cat]

2 things: First, you can (and should) replace your `pip install` with `uv pip install` for instant speed boost. This matters even for Docker builds.

Second, you can use uv to build and install to a separate venv in a Docker container and then, thanks to the wonders of multistage Docker builds, copy that venv to a new container and have a fully working minimal image in no time, with almost no effort.