Comments (3)
Similar issue, also related to #41 . I have JLab+Jhub running for a set of users, there is a lightweight env hosting the Hub and Lab interface that users never interact with. Instead there is a shared conda env and each user can also create their own.
It seems the extension can at the moment only start a cluster in the same environment as the Jupyter server, is that correct? It would be great if the "new" button followed a similar logic to the new notebook page in JLab in showing all the available kernels and allowing you to start cluster in whichever you choose.
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I could still manually copy dashboard addresses in the text field, though (and I'm happy doing this!)
This works locally, but unfortunately not on jupyterlab running on a remote server (related to #41 I guess).
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I have the same workflow as @benbovy. My base conda env only contains a minimum set of libraries to run JLab and I have one conda env per project.
So it would be nice to be able to create a new cluster "inside" an existing kernel.
Or I am also fine executing the kernel in the notebook if the extension can "discover it".
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Related Issues (20)
- Dashboard doesn't show when scheduler does not listen on localhost HOT 1
- Update branding
- Open Dashboard programmatically HOT 3
- Specify default address to look for scheduler HOT 13
- Dashboard shows cluster of different user HOT 1
- No visibility (black background) with JupyterLab in Dark theme HOT 3
- Can't connect to local cluster using local IP and port HOT 1
- 5.3.0 does not create a schemas/dask-labextension/plugin.json file on install HOT 11
- Default layout HOT 4
- Need to press the new "Launch in JupyterLab" button twice HOT 1
- Help connecting to existing KubeCluster using the build-in Discovery Mechanism HOT 2
- Using +NEW freezes Jupyterlab completely HOT 3
- JLab 4.0 side-effect: Class 'RenderedCommon' incorrectly implements interface 'IRenderer'. HOT 12
- Logos no longer working well HOT 4
- Conflicting dependencies with jupyterlab=4.0.2 HOT 3
- Inject client code adds an empty cell. HOT 3
- Release HOT 3
- Button Launch Dashboard in Jupyterlab not available HOT 1
- JLab 4-compatible release HOT 5
- Dashboard does not display graphs with bokeh = 3.3.0 HOT 3
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