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.

Name	Image	Software	JupyterHub Instance
Stack Minimal	minimal-notebook	Ubuntu 20.04 JupyterLab 4.0.2 Python 3.10.12 Git 2.25.1 Cuda 11.7.r11.7 vi nano tzdata unzip	SDSU, CSU TIDE
Stack R	r-notebook	(everything in minimal-notebook) R 4.3.1 IRKernel to support R code in Jupyter notebooks tidyverse packages 2.0.0 caret, crayon, devtools, forecast, hexbin, htmltools, htmlwidgets, nycflights13, randomforest, rcurl, rmarkdown, rodbc, rsqlite, shiny, tidymodels, unixodbc packages from conda-forge	SDSU, CSU TIDE
Stack SciPy	scipy-notebook	(everything in minimal-notebook) altair, beautifulsoup4, bokeh, bottleneck, cloudpickle, conda-forge::blas=*=openblas, cython, dask, dill, h5py, matplotlib-base, numba, numexpr, openpyxl, pandas, patsy, protobuf, pytables, scikit-image, scikit-learn, scipy, seaborn, sqlalchemy, statsmodel, sympy, widgetsnbextension, xlrd packages ipympl and ipywidgets for interactive visualizations and plots in Python notebooks Facets for visualizing machine learning datasets	SDSU, CSU TIDE
Stack Tensorflow	tensorflow-notebook	(everything in scipy-notebook) tensorflow 2.11.0 machine learning library	SDSU, CSU TIDE
Stack Datascience	datascience-notebook	(everything in tensorflow-notebook) rpy2 package The Julia 1.7.2 compiler and base environment IJulia to support Julia code in Jupyter notebooks HDF5, Gadfly, RDatasets packages	SDSU, CSU TIDE
Stack PRP	prp-notebook	(everything in tensorflow-notebook) astropy, bowtie, fastai, keras, nbgitpuller, opencv-python, psycopg2-binary, tensorflow-probability, torch 1.13.1, torchvision, visualdl, CommPy packages	SDSU, CSU TIDE
R Studio	r-studio	(everything in minimal-notebook)	SDSU, CSU TIDE

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

Name	Image	Software	JupyterHub Instance
Eclipse C/C++ Desktop	eclipse-notebook	(everything in minimal-notebook) Eclipse IDE for C/C++ Developers 2022-03 release for Linux x86_64 icedtea-netx net-tools dbus-x11 firefox xfce4 xfce4-panel xfce4-session xfce4-settings xorg xubuntu-icon-theme gpg curl lsb-core	SDSU
Kube Notebook	kube-notebook	(everything in minimal-notebook) kubectl rclone vim git unzip zip curl wget	SDSU
SageMath Notebook	sagemath-notebook	(everything in scipy-notebook) sage	SDSU
GIS Notebook	gis-notebook	(everything in scipy-notebook) geopandas geoplot rasterio laspy netcdf4 psycopg2 networkx pysal beautifulsoup4 selenium	SDSU
Health-Informatics-Notebook	Health-Informatics-Notebook	(everything in scipy-notebook) biopython pytest	SDSU
George Lab Notebook	George Lab Notebook	(everything in scipy-notebook) opencv gudhi tabulate ripser persim	SDSU
MATLAB + Pulmonary Toolkit	Image is available upon request	(everything in scipy-notebook) MATLAB pulmonarytoolkit rclone NBIA Data Retriever Jupyter Desktop	SDSU
MATLAB + Bertini	Image is available upon request	(everything in stack-datascience-notebook) PyTorch	SDSU

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]