[lf-non]

It is quite beneficial for people who aren't writing python. And for them managing jupyterlab installations is a bit of pain.

I would like to use this with xeus kernel for sql (which is also native) and if this reduces the resource consumption of that setup significantly, its a big plus for me.

[oivey]

The README says the savings is ~75 MB. In most notebook workflows you’re at most running a couple at once. Saving <1% of my system memory doesn’t let me do anything I couldn’t do before. This also isn’t going to add concurrency/parallelism to your SQL unless xeus has some special magic that this is somehow able to exploit.

[lf-non]

I was primarily talking in the context of shared server deployments for teams

[BiteCode_dev]

uvx --from jupyter helps with that significantly.