Install JupyterHub with Docker#

The JupyterHub docker image is the fastest way to set up Jupyterhub in your local development environment.


This docker image is only an image for running the Hub service itself. It does not provide the 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, JupyterLab or Jupyter Notebook must be installed.


We strongly recommend that you follow the Zero to JupyterHub tutorial to install JupyterHub.


You should have Docker 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

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  <container-id>

# resume the paused container
docker start <container-id>

If you want to run docker on a computer that has a public IP then you should (as in MUST) secure it with ssl by adding ssl options to your docker configuration or using an ssl enabled proxy.

Mounting volumes enables you to persist and store the data generated by the docker container, even when you stop the container. The persistent data can be stored on the host system, outside the container.

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.