[bitvoid]

I just want to give a hearty thank you for pixi. It's been an absolute godsend for us. I can't express how much of a headache it was to deal with conda environments with student coursework and research projects in ML, especially when they leave and another student builds upon their work. There was no telling if the environment.yml in a student's repo was actually up to date or not, and most often didn't include actual version constraints for dependencies. We also provide an HPC cluster for students, which brings along its own set of headaches.

Now, I just give students a pixi.toml and pixi.lock, and a few commands in the README to get them started. It'll even prevent students from running their projects, adding packages, or installing environments when working on our cluster unless they're on a node with GPUs. My inbox used to be flooded with questions from students asking why packages weren't installing or why their code was failing with errors about CUDA, and more often than not, it was because they didn't allocate any GPUs to their HPC job.

And, as an added bonus, it lets me install tools that I use often with the global install command without needing to inundate our HPC IT group with requests.

So, once again, thank you