Control on number of kernels/user

[Pratham Maliwad]

Hi, 

I am using Jupyter Hub v0.7.2, JupyterNotebook v4.2.0 and Jupyter Lab V0.16.2. 

We have multiple kernels - Python 3.5, PySpark 1.6.1, etc. 

Users are opening too many notebooks simultaneously and not closing the notebook or kernel at the end of their work. 

Has any implemented a solution to control number of kernels/user or notebook/user? What's the best way possible way to control number of  kernels/user or notebook/user?

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Thanks 

Pratham 

[MinRK]

A custom KernelManager class could check the number of running kernels and raise a 400 error if too many are already running.

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