Install JupyterHub with Docker ============================================ The JupyterHub `docker image `_ is the fastest way to set up Jupyterhub in your local development environment. The ``JupyterHub`` docker image runs the Hub service only. It does not provide other Jupyter components such as Notebook installation, which are needed by the single-user servers. To run the single-user servers, which may be on the same system as the Hub or not, Jupyter Notebook version 4 or greater must be installed. .. important:: We strongly recommend that you follow the `Zero to JupyterHub`_ tutorial to install JupyterHub. Prerequisites ------------------------------- You should have `Docker Desktop`_ installed on a Linux/Unix based system. Run the Docker Image ------------------------------- To pull the latest JupyterHub image and start the `jupyterhub` container, run this command in your terminal:: docker run -d -p 8000:8000 --name jupyterhub jupyterhub/jupyterhub jupyterhub This command exposes the Jupyter container on port:8000. Navigate to `http://localhost:8000` in a web browser to access the JupyterHub console. You can stop and resume the container by running `docker stop` and `docker start` respectively.:: # find the container id docker ps # stop the running container docker stop # resume the paused container docker start If you are running Docker on a computer that has a public IP address, you must **secure it with ssl** by adding ssl options to your docker configuration or using a ssl enabled proxy. `Mounting volumes `_ persist and stores the data generated by the docker container, even when you stop the container. The persistent data can be stored outside the host system. Create System Users ------------------------------- Spawn a root shell in your docker container by running this command in the terminal.:: docker exec -it jupyterhub bash The created accounts will be used for authentication in JupyterHub's default configuration. .. _Zero to JupyterHub: https://zero-to-jupyterhub.readthedocs.io/en/latest/ .. _Docker Desktop: https://www.docker.com/products/docker-desktop