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Compatibility information #216
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A compatibility table is indeed a good idea. I made one for bqplot very recently https://github.com/bqplot/bqplot#install-a-previous-bqplot-version. We can make one for ipympl as well, it should not take too much time. Although I would recommend always using latest. That being said, I am trying my best to make life easier for users. Recently I added the JupyterLab extension as part of the package. Which means that if you install ipympl with conda you should get the JupyterLab extension with it automatically. Note that you still need to rebuild JupyterLab, and install the jupyter-widgets labextension if not done already. conda install -c conda-forge ipympl
# Rebuild JupyterLab
jupyter lab build
# Or install the ipywidgets extension
jupyter labextension install @jupyter-widgets/jupyterlab-manager |
Actually bqplot was the repository that inspired my request :) . Is latest supposed to work with older jupyterlab version ? I totally missed the "Or" . I did the I'm gonna check into that. |
It should. Although I would highly recommend using the latest JupyterLab.
Doing I will make this table in the README. We want to document ipympl a bit more as well, there is another issue for that. |
I opened a PR for the versions table, any comment from you would be very much appreciated :) |
I'm trying to make ipympl work with my jupyterlab installation. I'm almost certain that there is an issue with the version that I'm using (see other issues like #130 ).
It's rather hard to find out which ipympl versions is supposed to go with which versions of jupyter-matplotlib and jupyterlab.
May be there is a convention about this compatibility that I couldn't find. If it's not the case
i think we can use this issue to compile compatible version of ipympl and put that information inside the main README.
I'll start with mine. The only version I'm able to make working is :
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