Ruby Gems are tar files, and one of the files in the tar file is a YAML representation of the GemSpec. This YAML file declares all dependencies for the Gem, so RubyGems can know, without evaling anything, what dependencies it needs to install before it can install any particular Gem. Additionally, RubyGems.org provides an API for asking about dependency information, which is actually the normal way of getting dependency info (again, no eval required).
That said, the points at the end about not needing to parse gemspecs to install "most" dependencies would make this pretty moot (if the information is already returned from the gemserver)
How uv got so fast - https://news.ycombinator.com/item?id=46393992 - Dec 2025 (457 comments)
> Ignoring requires-python upper bounds. When a package says it requires python<4.0, uv ignores the upper bound and only checks the lower. This reduces resolver backtracking dramatically since upper bounds are almost always wrong. Packages declare python<4.0 because they haven’t tested on Python 4, not because they’ll actually break. The constraint is defensive, not predictive
Man, it's easy to be fast when you're wrong. But of course it is fast because Rust not because it just skips the hard parts of dependency constraint solving and hopes people don't notice.
> When multiple package indexes are configured, pip checks all of them. uv picks from the first index that has the package, stopping there. This prevents dependency confusion attacks and avoids extra network requests.
Ambiguity detection is important.
> uv ignores pip’s configuration files entirely. No parsing, no environment variable lookups, no inheritance from system-wide and per-user locations.
Stuff like this sense unlikely to contribute to overall runtime, but it does decrease flexibility.
> No bytecode compilation by default. pip compiles .py files to .pyc during installation. uv skips this step, shaving time off every install.
... thus shifting the bytecode compilation burden to first startup after install. You're still paying for the bytecode compilation (and it's serialized, so you're actually spending more time), but you don't associate the time with your package manager.
I mean, sure, avoiding tons of Python subprocesses helps, but in our bold new free threaded world, we don't have to spawn so many subprocesses.
There's never going to be a Python 4 so I don't think they are wrong. Even if lighting strikes thrice there's no way they could migrate people to Python 4 before uv could be updated to "fix" that.
> Ambiguity detection is important.
I'm not sure what you mean here. Pip doesn't detect any ambiguities. In fact Pip's behaviour is a gaping security hole that they've refused to fix, and as far as I know the only way to avoid it is to use `uv` (or register all of your internal company package names on PyPI which nobody wants to do).
> thus shifting the bytecode compilation burden to first startup after install
Which is a much better option.
There will, but called Pyku ...
Stuff like this sense unlikely to contribute to overall runtime, but it does decrease flexibility.
Astral have been very clear that they have no intention of replicating all of pip. uv pip install was a way to smooth the transition from using pip to using uv. The point of uv wasn't to rewrite pip in rust - and thankfully so. For all of the good that pip did it has shortcomings which only a new package manager turned out capable of solving.
> No bytecode compilation by default. pip compiles .py files to .pyc during installation. uv skips this step, shaving time off every install.
... thus shifting the bytecode compilation burden to first startup after install. You're still paying for the bytecode compilation (and it's serialized, so you're actually spending more time), but you don't associate the time with your package manager.
In most cases this will have no noticeable impact (so a sane default) - but when it does count you simply turn on --compile-bytecode.
Version bound checking is NP complete but becomes tractable by dropping the upper bound constraint. Russ Cox researched version selection in 2016 and described the problem in his "Version SAT" blog post (https://research.swtch.com/version-sat). This research is what informed Go's Minimal Version Selection (https://research.swtch.com/vgo-mvs) for modules.
It appears to me that uv is walking the same path. If most developers don't care about upper bounds and we can avoid expensive algorithms that may never converge, then dropping upper bound support is reasonable. And if uv becomes popular, then it'll be a sign that perhaps Python's ecosystem as a whole will drop package version upper bounds.
It’s interesting as a target because it pays off more the longer it has been implemented as it only would be shared from versions going forward.
dboreham•1h ago
Compiler, yes. Linker, sure. Package downloader. No.
travisd•1h ago
byroot•1h ago
The reason for speeding up bundler isn't CI, it's newcomer experience. `bundle install` is the overwhelming majority of the duration of `rails new`.
maccard•53m ago
I’d wager the majority of CI usage fits your bill of “terrible”. No provider provides OOTB caching in my experience, and I’ve worked with multiple in house providers, Jenkins, teamcity, GHA, buildkite.
byroot•22m ago
Buildkite can be used in tons of different ways, but it's common to use it with docker and build a docker image with a layer dedicated to the gems (e.g. COPY Gemfile Gemfile.lock; RUN bundle install), effectively caching dependencies.
zingar•47m ago
maxbond•26m ago
m00x•57m ago
Cloud dev environments can also take several minutes to set up.
maccard•49m ago
mikepurvis•35m ago
But in public tooling, where the benefit is across tens of thousands or more? It's basically always worth it.
IshKebab•33m ago
skinnymuch•9m ago
blibble•6m ago
took an hour to install 30 dependencies