Porting to uv

[EtienneT]

I am doing this pull request more as a suggestion, but I had difficulties adding nannyml in my own project because of various package problems in windows. I decided to run uvx migrate-to-uv to port it from poetry to uv. Now everything works perfectly when I want to install it on my project (using my github fork for now). But uv is much faster than poetry and very pleasant to use.

Just run uv sync at the root of the repository and it should create a virtual environment in the folder .venv.

I just had to comment out the dependency on jupyterlab, it had problems building y-py package which jupyterlab depends on. But if I comment out jupyterlab, everything still worked fine for me, but I am probably missing something.

[nnansters]

Hey @EtienneT ,

Thanks for the initiative on this one! We've been using uv in some other projects already and I hadn't gotten round to introduce it here. I was dreading it a bit, to be honest, without reason apparently!

From what I recall the jupyterlab dependency was there as part of the docs generation process. When I get to reviewing this PR (and a couple more that are still open) I'll see how it breaks stuff.

In any case: big thanks for this!

[EtienneT]

Glad I could help, it took 5 min to port to uv (thanks to uvx migrate-to-uv) and then I could use it in my own project by referencing my github fork directly simply by adding the github repo as a dependency using uv.

[stale]

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.

[EtienneT]

Bump just to make sure this issues doesn't stay stale.

[stale]

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.