[rd11235]

You didn’t mention an important point: speed.

Suppose conda had projects. Still, it is somewhat incredible to see uv resolve + install in 2 seconds what takes conda 10 minutes. It immediately made me want to replace conda with uv whenever possible.

(I have actively used conda for years, and don’t see myself stopping entirely because of non Python support, but I do see myself switching primarily to uv.)

[BrenBarn]

It's true conda used to be slow, but that was mostly at a time when pip had no real dependency resolver at all. Since I started using mamba, I haven't noticed meaningful speed problems. I confess I'm always a bit puzzled at how much people seem to care about speed for things like install. Like, yes, 10 minutes is a problem, but these days mamba often takes like 15 seconds or so. Okay, that could be faster, but installing isn't something I do super often so I don't see it as a huge problem.

[mvieira38]

The near instant install speed is just such a productivity boost. It's not the time you save, it's how it enables you to stay in flow. In my previous job we had a massive internal library hosted on Azure that took like 5 minutes to install with pip or conda. Those on my team not using uv either resorted to using a single global environment for everything, which they dreaded experiment with, or made a new environment once in the project's history and avoided installing new dependencies like the plague. Uv took less than 30 seconds to install the packages, so it freed up a way better workflow of having disposable envs that I could just nuke and start over if they went bad.

[sgt]

Agreed. When I tried uv first I was immediately taken aback by the sheer speed. The functionality seemed OK, but the speed - woah. Inspiring. So I kept using it. Got used to it now.