Learn from `jupyter_rfb` (or use?)

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#373 2 comments 0 reactions 0 assignees View on GitHub

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
20/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
jupyter
Domain
frontend

Research direction

Start by reviewing the linked vispy/jupyter_rfb repository and comparing its approach with ipympl. The issue does not name files, tests, or a specific change; clarify whether the goal is to learn from jupyter_rfb or adopt it, then define the expected integration and validation before implementation.

Written by the indexing model from the issue text.

Description

vispy has made a library that solves many of the same issues as ipympl: https://github.com/vispy/jupyter_rfb

Probably good to look over that and maybe learn things. Or more dramatically to start using that library?

Heads up @martinRenou

Dominant language
Jupyter Notebook
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Contributor guide

Open the contributing guide

First steps

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  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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