atoti distributes an official image on DockerHub. It contains the atoti library and its JupyterLab extension ready to use.

If you need help on the installation you can contact us on Gitter, Github or shoot us an email.


Pull the image:

docker pull atoti/atoti

Create a volume where the data (notebooks, files..) can be persisted when the Docker container is stopped:

docker volume create atoti-volume

Run the Docker image using the created volume:

docker run --publish 8888:8888 --volume atoti-volume:/home/jovyan/work atoti/atoti

Jupyter will print the URL of the application with a security token, such as http://localhost:8888?token=XXXXX. On a distant machine, use http://<DOCKER-MACHINE-IP>:8888?token=XXXXX.


Expose on another port

The application can be served on another port than 8888 by changing the port in the publish mapping (--publish XXXX:8888) and setting the PORT environment variable to the port value.

docker run --publish 9999:8888 --volume atoti-volume:/home/jovyan/work --env PORT=9999 atoti/atoti

Build custom image

It is also possible to build custom Docker images with atoti. The Dockerfile used to build the official image is a good starting point.