ROOT is a toolkit developed at CERN. Its primary audience is particle physicists who want to perform data analysis.

This docker container is an off-shoot of a ROOT tutorial I've taught at Nevis Labs for the past couple of decades. At Nevis I've set up a Juptyerhub server for use by the particle-physics students and researchers. That's not enough for some of the scientists, especially those who take their laptops on plane rides without internet access.

I've documented a conda-based installation procedure. This docker container is meant to provide a pre-compiled local copy of a Jupyter/ROOT/C++ workspace for those for whom conda is not a good solution.

This project was inspired by sidebo/docker-pyroot-notebook, but was created independently. It's meant to match the OS (AlmaLinux 9) and ROOT version (6.30.02 as of Mar-2024) in use on the Nevis Jupyterhub server, along with the Python and C++ packages most commonly used by Nevis physicists.

If you wanted the already-built version, it is in a Dockerhub repository. You can download and execute the docker container with (in UNIX):

sudo docker run -p 8080:8080 -v $PWD:/work wgseligman/jupyter-pyroot:latest-<processor>

where <processor> is amd64 for x86-64 and similar systems, and arm64 for Apple's M1 and M2 systems.

To change the host port mapping to a different port than 8080 change the first 8080 to the desired port number. To change the mapping from the internal container /work directory to some other host directory, change the $PWD to the desired directory.