Hey, sorry to revive this thread again, but having docker container kernels (and not whole jupyter server systems) would be very useful for me. My use case is having certain hard to build scientific software installed within the container. That way you could call out to them using python's subprocess calls from within the notebook. My goal would be to make several kernels, accessible from the same notebook server, to act as a toolkit of sorts for my lab. Ideally having the kernels in containers would make them easy to share and install in sister labs at other institutions for use in their Jupyter ecosystem. Thank you for any guidance!
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