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This looks cool*

I can't tell from the website, but what I would absolutely love is if this could turn the notebook into a "train.py" with argparse to parse the arguments and model / program output saved on completion. This is a definite pain point for me, there are things I'd like to test interactively, but I default to trying to get out of a jupyter notebook as quickly as possible because all the code ends up having to be rewritten "properly".

For ML in particular, I bet there are cool integrations you could do with pytorch lightning (and other frameworks) to take me from trying a forward pass in the jupyter notebook to having the datamodel with dataloaders declared and then set up in a main() . There is lots that could be automated.

*(except the SaaS model, I have a really hard time supporting "api call" limited services that seem to just be charging me a subscription fee for the priviledge of running code, but I don't want to get into that.)



Thank you. Can you please email me at omar@mutable.ai? I think having a number of well defined "flows" _especially_ for the use case you highlighted can save people a lot of frustration!

(Totally understand you on the SaaS objections -- I don't think you should ever feel like you can't run your code! In the individual plan you should not hit the limit unless many people are using the same key.)




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