71–80 of 468 posts
I remain baffled about these posts getting excited about uv’s speed. I’d like to see a real poll but I personally can’t imagine people listing speed as one of the their top ten concerns about python package managers. What are the common use cases where the delay due to package installation is at all material? Edit to add: I use python daily
(also switching python version is so fast)
I remain baffled about these posts getting excited about uv’s speed. I’d like to see a real poll but I personally can’t imagine people listing speed as one of the their top ten concerns about python package managers. What are the common use cases where the delay due to package installation is at all material? Edit to add: I use python daily
> No bytecode compilation by default. pip compiles .py files to .pyc during installation. uv skips this step, shaving time off every install. You can opt in if you want it. Are we losing out on performance of the actual installed thing, then? (I'm not 100% clear on .pyc files TBH; I'm guessing they speed up start time?)
Earlier quoted context omitted.
I think the framing in the post is that it's specific to Rust, relative to what Python packaging tools are otherwise written in (Python). It's not very easy to do zero-copy deserialization in pure Python, from experience. (But also, I think Rust can fairly claim that it's made zero-copy deserialization a lot easier and safer.)
I suppose it can fairly claim that now every other library and blog post invokes "zero-copy" this and that, even in the most nonsensical scenarios. It's a technique for when you can literally not afford the memory bandwidth, because you are trying to saturate a 100Gbps NIC or handling 8k 60Hz video, not for compromising your data serialization schemes portability for marketing purposes while all applications hit the…
(I'm agnostic on whether zero-copy "matters" in every single context. If there's no complexity cost, which is what Rust's abstractions often provide, then it doesn't really hurt.)
> PEP 658 went live on PyPI in May 2023. uv launched in February 2024. The timing isn’t coincidental. uv could be fast because the ecosystem finally had the infrastructure to support it. A tool like uv couldn’t have shipped in 2020. The standards weren’t there yet. How/why did the package maintainers start using all these improvements? Some of them sound like a bunch of work, and getting a package ecosystem to move i…
It wasn't working okay for many people, and many others haven't started using pyproject.toml.
For what I consider the most egregious example: Requests is one of the most popular libraries, under the PSF's official umbrella, which uses only Python code and thus doesn't even need to be "built" in a meaningful sense. It has a pyproject.toml file as of the last release. But that file isn't specifying the build setup following PEP 517/518/621 standards. That's supposed to appear in the next minor release, but they've only done patch releases this year and the relevant code is not at the head of the repo, even though it already caused problems for them this year. It's been more than a year and a half since the last minor release.
So... will uv make Python a viable cross-platform utility solution? I was going to learn Python for just that (file-conversion utilities and the like), but everybody was so down on the messy ecosystem that I never bothered.
> When a package says it requires python I will bring popcorn on python 4 release date.
pip is simply difficult to maintain. Backward compatibility concerns surely contribute to that but also there are other factors, like an older project having to satisfy the needs of modern times.
For example, my employer (Datadog) allowed me and two other engineers to improve various aspects of Python packaging for nearly an entire quarter. One of the items was to satisfy a few long-standing pip feature requests. I discovered that the cross-platform resolution feature I considered most important is basically incompatible [1] with the current code base. Maintainers would have to decide which path they prefer.
So... will uv make Python a viable cross-platform utility solution? I was going to learn Python for just that (file-conversion utilities and the like), but everybody was so down on the messy ecosystem that I never bothered.
I think this post does a really good job of covering how multi-pronged performance is: it certainly doesn't hurt uv to be written in Rust, but it benefits immensely from a decade of thoughtful standardization efforts in Python that lifted the ecosystem away from needing `setup.py` on the hot path for most packages.
Someone once told me a benefit of staffing a project for Haskell was it made it easy to select for the types of programmers that went out of their way to become experts in Haskell. Tapping the Rust community is a decent reason to do a project in Rust.