Eh, I’m not so sure.
We didn’t see adoption nearly this fast for poetry, pipenv, or conda (or hatch or PDM, but I never saw those as even reaching critical mass in the first place).
Those tools got pretty popular, but it took a long time and most folks found them to have a lot of tradeoffs (miles better than Python’s first party tooling, but still).
I’m not seeing that with “uv”. Other than concerns about Astral’s stewardship model (which could be valid!), I’m not seeing widespread “it works but is hard to use” dissatisfaction with the to the way I do with, say, poetry.
Couple that with uv durably solving the need for pyenv/asdf/mise by removing the pain of local interpreter compilation entirely, and I do think that adds up to uv being fundamentally different in popularity or approach compared to prior tools. Is that “different” the same as “better”? Time will tell.
As to being written in Rust? Shrug. A ton of shops for whom uv has been transformative don’t even know or care what language it’s written in. Being Rust provides, in my opinion, two benefits: a) avoiding chicken-and-egg problems by writing the tool for managing a programming language environment in a different language that is b) not bash.
> avoiding chicken-and-egg problems by writing the tool for managing a programming language environment in a different language
I've heard this a lot, but I don't really understand the use case. It seems that people want to do development in Python, want to install and manage third-party Python packages, and know how to use command-line tools, but somehow they don't already have Python installed and would find it challenging to install directly? Building from source on Linux is a standard "get dev packages from the system package manager; configure, make and install" procedure that I've done many times (yes, putting it beside the system Python could break things, but you can trivially set an alternate install prefix, and anyway the system Python will usually be a version that meets the basic needs of most developers). Installing on Windows is a standard Windows installer experience.
Aside from that, people seem to imagine "chicken-and-egg" scenarios with pip making itself available in the environment. But this is a thoroughly (if inefficiently) solved problem. First off, for almost three years now pip has been able to install cross-environment (albeit with an ugly hack; I detail some of this in https://zahlman.github.io/posts/2025/01/07/python-packaging-...). Second, the standard library `venv` defaults to bootstrapping pip into new environments — taking advantage of the fact that pre-built Python packages are zip archives, and that Python has a protocol for running code from zip archives, which the pip package implements.
The real bootstrapping issue I've heard about is https://github.com/pypa/packaging-problems/issues/342 , but this affects very few people — basically, Linux distro maintainers who want to "build" an entire Python toolchain "from source" even though it's all Python code that the runtime could bytecode-compile on demand anyway.
Whether or not you like it, and whether or not it is better, it is not in the standard lib, and is not the way the vast majority of people install python libraries.