Comments (6)
This would be interesting... for simple jobs, things could be run in the browser. If a more complex computer backend is required, then a remote kernel could do the work. (Note that in the general case, it would also be handy to connect to a local (desktop) kernel. Cf. how VS Code Jupyter extension lets you provide a kernel connection URL and run using that.
I also note a VS Code extension for working with pyolite
that claims to build on jupyterlite
- not sure how that manages the connection.
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Thanks @psychemedia.
Ideally some parts from JupyterLite would go to upstream JupyterLab, which might require some refactoring of the underlying @jupyterlab/services
package. This could allow having in-browser kernels in a normal JupyterLab installation too (hybrid).
Otherwise for this specific issue, it will probably be implemented as a third-party serverlite extension once #104 has landed.
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Just to generalise this a bit more, it would be be useful to connect to start an arbitrary remote kernel, eg via BinderHub, a user's account on a JupyterHub server somewhere, or via a Jupyter Enterprise Gateway.
The user could then bring their own client simply via a browser (eg on a Chromebook, tablet or phone) and access arbitrary hosted Jupyter served computational environments.
from jupyterlite.
As JupyterLite is now being used to take pressure off binder, I think we probably won't be doing this.
from jupyterlite.
That is a separate issue, surely?
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Probably could be converted to a discussion in the "Ideas" category.
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Related Issues (20)
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