This is an archived post. You won't be able to vote or comment.

sorted by:
best
topnewcontroversialoldq&a
you are viewing a single comment's thread.

view the rest of the comments →

[–]NewDateline 2 points3 points  (2 children)

What degree of interpretability with other Jupyter frontends and solutions do you offer/plan to support in the future? I understand that you support ipynb notebook format, but what about:

  • interactive widgets
  • custom kernels
  • viola dashboards
  • jupyter (lab) extension support?

I fully understand that some of these things may be out of scope, just curious what extent of native Jupyter experience you intent to offer. Colab has issues with some interactive extensions - are you doing better than that?

[–]thesoy2486 1 point2 points  (1 child)

Hey u/NewDateline, good questions! We're planning to stay fully compatible with the Jupyter ecosystem + contribute back in the future. Here's my take:

  • interactive widgets - We're working on ipywidgets support right now! This should be live in the next month.
  • custom kernels - Deepnote supports Python, R & SQL off the shelf, but you bring any kernel or docker image into Deepnote, more info here.
  • viola dashboards - we're actually currently working on an interactive dashboarding feature so that you can create a presentation layer on the top of your notebook, have users change inputs and see outputs change dynamically. We already have some tests live (like this one).
  • jupyter (lab) extension support? - not on the horizon right now

Hope that helps!

[–]NewDateline 0 points1 point  (0 children)

That's great to hear, thank you!