We highly recommend following the Zero to JupyterHub tutorial for installing JupyterHub.
Alternate installation using Docker#
A ready to go docker image gives a straightforward deployment of JupyterHub.
jupyterhub/jupyterhub 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, Jupyter Notebook version 4 or greater must be installed.
Starting JupyterHub with docker#
The JupyterHub docker image can be started with the following command:
docker run -d -p 8000:8000 --name jupyterhub jupyterhub/jupyterhub jupyterhub
This command will create a container named
jupyterhub that you can
stop and resume with
The Hub service will be listening on all interfaces at port 8000, which makes this a good choice for testing JupyterHub on your desktop or laptop.
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 a ssl enabled proxy.
Mounting volumes will allow you to store data outside the docker image (host system) so it will be persistent, even when you start a new image.
docker exec -it jupyterhub bash will spawn a root shell in your
docker container. You can use the root shell to create system users in the container.
These accounts will be used for authentication in JupyterHub’s default