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Looks interesting, there are definitely a lot of pain points when using the Jupiter notebooks for more complex explanation. One thing I would love to see you in
by beisner 6y ago
Looks interesting, there are definitely a lot of pain points when using the Jupiter notebooks for more complex explanation. One thing I would love to see you in a Jupiter notebook, which some of the various deep learning experimentation start ups (wandb, etc) have is a local visual sink for time series data. For instance it would be great to be able to dynamically plot (maybe in the left or right margin of the window) loss over time for multiple runs, maybe with some dynamic ability to group graph.
I could envision hooking up the outputs of multiple executions of the same (or different) notebooks to these visualizations.
You can kinda get something like this with matplotlib or plotly but it has always felt kinda missing something.
- Equiet 6y agoAgreed. The way how I see it, it's not a core competency of a notebook though (it's important to keep the medium itself versatile enough), but of an extension. As you mentioned, there are some startups working exactly on this (thus very likely a much better job than a notebook), so it's probably a problem of a missing link (like a nice API for UI extension). Speaking on behalf of Deepnote, there's no such an API yet, but it's something that I'd definitely like to see and build.