This page is currently under construction. Information will be updated soon.

Available Container Images

JupyerHub makes use of a container image to execute your code/commands. You must use a container image that contains the software you wish to use. We use images provided by Nautilus which are based on Jupyter Docker Stacks. However, additional images can be created for specific needs.

All images include GPU Nvidia and CUDA support, and will provide access to GPU resources if selected during container launch.

General Container Images

The following general purpose containers are available for use.

The following diagram shows the relationship of the above container images.

graph LR;
    A[minimum-notebook]-->B[r-notebook];
    A-->G[r-studio];
    A-->C[scipy-notebook]-->D[tensorflow-notebook]-->E[datascience-notebook];
    D-->F[prp-notebook];

Custom Container Images

The following diagram shows the relationship between the general and custom container images.

graph LR;
    A[minimum-notebook]-->B[Eclipse-Desktop];
    A-->C[Scipy-Notebook]-->J[tensorflow-notebook]-->K[datascience-notebook];
    C-->D[SageMath-Notebook];
    A-->F[Kube-Notebook];
    C-->E[GIS-Notebook];
    C-->G[Health-Informatics-Notebook];
    C-->H[George-Lab-Notebook]
    C-->L[MATLAB-Bertini-Notebook]
    K-->I[MATLAB-PulmonaryToolkit-Notebook]

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