Docs request (feature request?): Using ipympl when Jupyter and kernel are in different environments
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Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 35/100
- Issue type
- Documentation
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- jupyter
- Domain
- documentation
Research direction
Start by reviewing the linked ipympl issue 112 and the current official installation recommendation. Determine whether Jupyter and kernel environments can be supported separately, then document the correct frontend/backend instructions or clearly state that this use case is unsupported.
Written by the indexing model from the issue text.
Description
Describe the issue
This issue is a continuation from https://github.com/matplotlib/ipympl/issues/112.
A very common use case involves a centrally-installed Jupyter instance running Jupyter kernels in various task-specific environments.
Examples include a shared Jupyterlab instance installed by a server administrator, or a single user with a highly-customized personal Jupyter configuration.
In these situations, it's usually undesirable (and sometimes impossible) for users to install and run Jupyter within their task-specific environment in order to make use of ipympl as per the official recommendation to use pip install ipympl for both the server/kernel-side package and the client/frontend-side extension.
What are the correct instructions for installing the "frontend" and "backend" components of ipympl separately, so that they can be used in two different environments?
If this is not currently a supported use case, consider this issue a much-desired feature request!
- Dominant language
- Jupyter Notebook
- Stars
- 1.7k
- Forks
- 234
- PR merge metrics
- No merged PRs in 30d
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.
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