It’s a really bold claim. Every time a new package manager and/or dependency resolver comes around, we have the exact same headline
It is a bold claim, but based on their success with ruff, I'm optimistic that it might pan out.
I do enjoy ruff a lot, but only time will tell
There are 14 competing standards...
have there been a lot of them?
Yet another python packager............... insane that such a popular language still doesn't have this basic problem solved.
Yeah but this one is actually good. So hopefully it will displace all the others.
I use poetry and it works really well. I would consider it solved but that doesn't mean there isn't the possibility of a better solution.
pip is a perfectly usable package manager and is included in most python distributions now. Is it perfect? No, but it is good enough for every team I have been on.
@CodeMonkey @ertai No it is not perfectly usable for all people, all projects, all situations. uv definitely gets much closer to that.
Except that it’s slower than uv and therefore strictly worse for build processes
it's usable, yet it doesn't attempt to solve a a third of the problems uv, poetry, and pdm address.
it's also not hard to end up with a broken env with pip.
Putting aside the speed uv has a bunch of features that usually require 2-4 separate tools. These tools are very popular but not very well liked. The fact these tools are so popular proves that pip is not sufficient for many use cases. Other languages have a single tool (e.g. cargo) that are very well liked.
Why do programming language developpers even feel the need to reinvent package management every time? Like, just use the system's package manager?
Glad I use arch btw, pacman manages my python packages so I don't have to deal with all this mess.
In my field we rely on conda and I hate it every day.
Why, out of curiosity?
We do geodata science and rely on some pretty specific C++ libraries that are only distributed via conda. While on unix-based systems it's possible to get some of them from other channels or even building them from source, we mostly have Windows machines in production where we are not that flexible. Docker is unfortunately no solution due to security concerns.
If you are asking why I hate it: It's bloated, uses more space than needed and it's rare I can reproduce an environment from the environment file without running into errors. Using it feels unintuitive, I still google command after years. It was very slow until recently, when the libmamba solver was finally integrated. Last but not least licensing is a pain in the ass.
Interesting. We use conda via micromamba for my own project, as it makes the install for end-users much easier when they can just run a shell script, to install python, cuda, and all the dependencies needed.
I share the same frustration trying to replicate an environment. I'm glad I can avoid it these days, the community needs a way out of the conda lock-in.
I've been using micromamba/mamba and not had solving issues like I did with conda. Im glad conda integrated libmamba.
Question: why were docker containers deemed security risks?
If Windows, it requires a VM and currently infosec is not keen on virtualization in the hands of users.
I'm no expert, but isn't running in a VM strictly better than running on raw metal from a security perspective? It's generally more locked down, and breaking out of the virtualization layer requires a separate security breach from gaining access to the running container.
I would think so as well. Possibly it's because a local VM is harder for them to monitor.
Yes, mamba is a huge improvement. Regarding docker I can't really tell you as I'm not an infrastructure guy.
Got toml file support yet? Then I'm happy to talk :)
Looks like it has basic support:
required-python = "..."dependencies = [ ... ]Once it gets dependency groups, I'll try it out. I'm currently using poetry, which works, but I'm always interested in better perf.
it already has dep groups; e.g.
uv add --optional staging pytest
then
uv sync --extra staging
to install / uninstall packages accordingly.
They have a --dev shorthand for dev dependencies, but it seems the dependency group PEP is not final, so there isn't a standardized way of doing this yet.
Private PyPI too?
We're coming from poetry but it's slow and needs its own .venv, so a UV binary would be very nice.
yeah, it works with private pypi
I don't find it in the docs..how to set my PAT?
Oh cool, I'll definitely look into that.
And honestly, the one I need more is a test group for CI, for things like coverage reporting and whatnot. If I can get that and if having multiple package indexes works properly (i.e. it can check my private repo first, and then pypi), I can probably port our projects to uv, at which point it's an internal discussion instead of a technical one.
they do, just use project management commands like uv + { add, remove, sync, lock, run }
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