matplotlib / matplotlib/ipympl
Learn from `jupyter_rfb` (or use?)
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- Dominant language
- Jupyter Notebook
- Stars
- 1.7k
- Forks
- 234
- PR merge metrics
- No merged PRs in 30d
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
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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.
Assessment
- Tech stack
- jupyter
- Domain
- frontend
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100