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 provide container images from Jupyter Docker Stacks. Additional container images can be created for specific needs.

All images include NVIDIA GPU support and will provide access to GPU resources if requested during container launch.

General Container Images

The following general purpose containers are available for use.

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

graph LR;
    A[minimal-notebook]
    B[r-notebook]
    C[scipy-notebook]
    D[tensorflow-notebook]
    E[datascience-notebook]
    F[pytorch-notebook]
    G[julia-notebook]

    A --> B
    A --> C
    A --> G
    B --> E
    C --> E
    C --> D
    C --> F
    G --> E

Custom Container Images

The following custom containers are available for use.

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

graph LR;
    A[minimal-notebook]
    B[scipy-notebook]
    C[pytorch-notebook]
    D[eclipse-notebook]
    E[kube-notebook]
    F[sagemath-notebook]
    G[gis-notebook]
    H[health-informatics-notebook]
    I[astro-notebook]
    J[llm-notebook]
    K[md-notebook]
    L[r-notebook]
    M[rstudio-notebook]

    A-->B
    A-->D
    A-->E
    B-->C
    B-->F
    B-->H
    B-->I
    B-->K
    C-->G
    C-->J
    A-->L
    L-->M

---