- Performance: uv is so much faster that some operations become transparent. poetry's dependency resolver is notoriously slow. uv being a native binary also means it has a faster startup time.
- Interpreter version management: uv can handle separate python versions per project automatically. No need for pyenv/asdf/mise.
- Bootstrapping: you only need the uv binary, and it can handle any python installation, so you don't need to install python to install a management program.
- Environment management: uv will transparently create and update the environment. You don't need to source the venv either, you use `uv run...` instead of python directly.
Overall, it makes common Python project management tasks simple and transparent. It also follows standards (like project definition metadata and lock files), which poetry often doesn't.
I'll pay attention to poetry soon. As is, I don't recall my builds ever going slow because of poetry. I don't think I've noticed it have any impact on speed, at all.
I did just update the dependencies of some of my projects. I could see how that could be faster. I don't do that often enough for me to care about it, though. `poetry run pytest` is the slowest thing I have, and I'm confident most of that slowness is in my direct control already.
I'm intrigued on the lock file point. I thought that was literally one of the main reasons to use something like poetry, in the first place? Does uv have a better lock file mechanism?
uv supports the standardised lock file format. This means that you're not tied to uv for anything, as most project settings it uses (eg metadata, dependencies, extras, etc.) are based on PEPs. poetry has its own format for many things.
- Interpreter version management: uv can handle separate python versions per project automatically. No need for pyenv/asdf/mise.
- Bootstrapping: you only need the uv binary, and it can handle any python installation, so you don't need to install python to install a management program.
- Environment management: uv will transparently create and update the environment. You don't need to source the venv either, you use `uv run...` instead of python directly.
Overall, it makes common Python project management tasks simple and transparent. It also follows standards (like project definition metadata and lock files), which poetry often doesn't.