That's a very interesting problem! One way that *might* work is to mount
the matlab installation as a volume in the container. That would assume
that the docker image is sufficiently compatible with the host system.
To work on this, I would skip JupyterHub and try to get it running with a
single notebook container:
docker run -v /path/to/matlab:/path/to/matlab -it my-image-name
If you get it working that way, you can add the volume in your
`c.DockerSpawner.volumes` config.
Otherwise you are going to have to provide a way for containers to launch
processes outside themselves on the host. This is a bit antithetical to
containers, so may require a bit of work. You might need to run a service
on the host that allows requesting kernels via HTTP, which you can then
hook up in your container.
-Min
On Wed, Sep 6, 2017 at 2:17 PM, Karsten Wiesner <[email protected]>
wrote:
> Hi all
>
>
> I'm about to setup a docker image that runs
> jupyterlab. I've found docker-stacks which made it super easy. My
> Dockerfile looks like this:
>
> FROM jupyter/datascience-notebook
> USER jovyan
> RUN jupyter labextension install @jupyterlab/google-drive
>
> So everything is fine. The only missing thing is to have the host matlab
> kernel available in jupyter lab on this docker container. Due to license
> issues the matlab engine must run on the host system. On my host system
> I've installed matlab engine for python and py-mat-bridge from callisto
> so when I start jupyterlab or notebook on my host it finds the
> matlabkernel. How can I route the matlabkernel to the jupyter lab on my
> docker container so that it appears additional to the python,R and Julia
> kernel on the docker container? This might be also useful for other connecting
>
> to other than matlab kernels on the host
>
> thanks in advance,
>
> Karsten
>
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