Is pip the real bottle neck in software development? How many dependencies are you managing that require this speed?
The longest running tool in our toolchain is pytest, followed somewhat closely by poetry. I work on a project with several teams, so I end up needing to reinstall deps pretty frequently.
It's not something I'm actively looking for, but I wouldn't say no to some improvements. But I need the additional features of poetry, so I probably won't bother until it gets a bit more sophisticated.
The slowness of poetry is mostly due to network bottlenecks. While a Rust based tool, might be faster, it won't be a dramatic improvement, unlike the one we have seen with Ruff.
This actually sounds really promising!
Edit: here is a blog post from the creator of rye talking about rye and UV: https://lucumr.pocoo.org/2024/2/15/rye-grows-with-uv/