[bbor]

I was going to complain, but I’ll ask you/yall instead: what do you mean “makes it actually pleasant”? Is it too hard to summarize? Because I don’t think I ever identified anything about Anaconda or Poetry that felt like a particular choice, at least UX-wise. And curation-wise, it seems like a hard sell to trust a smaller org over the larger established group.

In other words: what does it say on the tin?? All I can read is “good package manager is good because good and fast and good”. Maybe there’s a comparison or ethos page…

[dr_kiszonka]

A lot of data people use Anaconda. Anaconda is sooo slow. Even on a very beefy workstation, Anaconda often needs > 10 mins to solve an environment, and often fails. I would be excited to try something without these issues.

[aldanor]

Mamba fully replaces anaconda and uses a sat solver in c++. IIRC, conda now uses libmamba under the hood as well. If you post a list of dependencies, I can time it on my box and post the timings here. (Not saying conda/mamba are best nor perfect but the last time I've seen 10m resolve times was a very long time ago)

[emptysongglass]

Everyone using Anaconda should switch to Mamba or Pixi, if not for speed, then for Anaconda's licensing switcheroo. Their legal department will chase you to the ends of the earth to get their money.

Really horrific experience with the folks at Anaconda. Stay far away.

[rat87]

Speed for one thing. Rye also manages your python version by downloading a version and with a less finicky setup the pipenvs/pipenv virtualenv shell scripts(which take longer and are less reliable because they compile python from source instead of downloading it).

As someone who has had to deal with his teams python setup. Installing poetry and pipenv and compiling Python automatically on every users machine is a lot more finicky in practice. Plus poetry wasn't just much slower sometimes locking took many minutes to finish appearing to lock up.

There's also rye install/rye tool install works like pipx, install tools in a silo-ed virtualenv with a run file in the rye dir you've already added to $PATH (it also has parameters to pass in extra parameters such as installing db packages for slaacodegen, and optionally exposing their executables on your path). It bundles other tools from astral ie ruff which is the new hotness for python linting /auto formatting/import sorting that's also fast/written in rust.

I feel with rye/uv/ruff astral is finally making progress towards a fast useful all in one python package Manager/tool like cargo. And they keep on adding a lot of useful features, for example ruff is slowly working towards implementing both flake8 and pylint and other lints.