I've migrated a couple moderately large projects from pyenv & poetry to uv, and it has been great. The switch was easier than I expected. I uninstalled pyenv after a few weeks, as I realized that uv makes it irrelevant. I've also replaced pipx (which manages Python tools/programs each with their own virtual environment) with uv's tool feature. I used uv for every new Python project. The only thing it's missing that's important for me is support by Dependabot on GitHub. Once Dependabot can update its lock files, I'll be able to uninstall poetry.

That’s a great combination that I’ve been using up until very recently. If you have it up and running, I don’t see huge benefits in switching to uv today.

In contrast, I had to use pipenv recently and I’d forgotten how terrible its UX was. I wanted to upgrade one of the deps in a smallish project and it took 43 seconds to resolve the change. If anyone reading this is using pipenv, switch to uv right now and thank me later.

We've migrated our pyenv poetry application - that's pretty complex with data pipeline flows and apis. The only issue we had was loading .env files - we had done some custom env var scripting as a workaround to an AWS issue and that was hard to migrate over. However, once that was done (and was due to bad implementation initially outside of poetry), moving from poetry to uv was rock solid. No issues and it just worked. I was surprised.

That used to be my stack, I’ve found that asdf and poetry fit me better (I dreaded having to set up pyenv and/or it working some of the time). The time saver has also been that I no longer have to keep any other language’s bespoke language version environment switcher in my head as much (goodbye nvm too)