Can I recommend not just looking into a dashboard and python library, but maybe a custom JupyterLab kernel based on the python3 kernel might be the way to go.
Potentially users can program just as they are used to and whenever a library is called that is supported by hypernet then that is detected and handled by the kernel to also run through your distributed platform. Making it so people can use numpy, tensorflow, etc just as they're used to would be quite the boon. -- You received this message because you are subscribed to the Google Groups "Project Jupyter" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/jupyter/1039a205-d343-49dd-a23d-a691986693f8%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
