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Provisioning a datalab with jupyterhub and tons of data science libraries for Python, R, and Scala
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Vagrantfile

README.md

JupyterHub Vangrant+Ansible Deploy

This repository provides a reference deployment of JupyterHub, a multi-user Jupyter Notebook environment, on a single host using either Linux sudo processes or Docker using Vangrant and Ansible.

This setup provides a single-command way to startup start up a JupyterHub RHEL/CentOS machine. The only requirement is needed is vagrant. This setup heavily borrows from a number of ideas such as the JupyterHub deploy docker setup.

This repo contributes to what's already available in the following ways:

sudo spawner

JupyterHub single host sudo spawner deployment

docker spawner

JupyterHub single host sudo spawner deployment

How to run

from the repo root dir type: vagrant up

Default provisioning

The default provisioning runs docker image spawner, which allows the logged-in user to select a number of instances.

    - role: ansible-role-centos-jupyterhub
      jupyterhub_spawner: 'imagespawner'
      jupyterhub_spawner_docker_image:
        - 'natbusa/jupyterhub-scipy-lab'
        - 'natbusa/jupyterhub-datascience-lab'
        - 'natbusa/jupyterhub-tensorflow-lab'
        - 'natbusa/jupyterhub-all-spark-lab'
      generate_testusers: True
      gen_test_username:
        - amy
        - joe
        - sue
        - bob

for more details about the JupyterHub ansible script, pleas refer to https://github.com/natbusa/ansible-role-centos-jupyterhub

Debug

On the host - check the system journal:
sudo journalctl -u jupyterhub

when running docker containers:
sudo docker logs <container-id>

list running and paused containers:
sudo docker ps -a