docker stacks
1.0.0
Jupyter Docker Stacks are a set of ready-to-run Docker images containing Jupyter applications and interactive computing tools. You can use a stack image to do any of the following (and more):
You can try a relatively recent build of the quay.io/jupyter/base-notebook image on mybinder.org. Otherwise, the examples below may help you get started if you have Docker installed, know which Docker image you want to use, and want to launch a single Jupyter Application in a container.
The User Guide on ReadTheDocs describes additional uses and features in detail.
Since `2023-10-20` our images are only pushed to `Quay.io` registry.
Older images are available on Docker Hub, but they will no longer be updated.
This command pulls the jupyter/scipy-notebook image tagged 2024-11-19 from Quay.io if it is not already present on the local host.
It then starts a container running a Jupyter Server with the JupyterLab frontend and exposes the container's internal port 8888 to port 10000 of the host machine:
docker run -p 10000:8888 quay.io/jupyter/scipy-notebook:2024-11-19You can modify the port on which the container's port is exposed by changing the value of the -p option to -p 8888:8888.
Visiting http:// in a browser loads JupyterLab,
where:
hostname is the name of the computer running Dockertoken is the secret token printed in the console.The container remains intact for restart after the Server exits.
This command pulls the jupyter/datascience-notebook image tagged 2024-11-19 from Quay.io if it is not already present on the local host.
It then starts an ephemeral container running a Jupyter Server with the JupyterLab frontend and exposes the server on host port 10000.
docker run -it --rm -p 10000:8888 -v "${PWD}":/home/jovyan/work quay.io/jupyter/datascience-notebook:2024-11-19The use of the -v flag in the command mounts the current working directory on the host (${PWD} in the example command) as /home/jovyan/work in the container.
The server logs appear in the terminal.
Visiting http:// in a browser loads JupyterLab.
Due to the usage of the --rm flag
Docker automatically cleans up the container and removes the file system when the container exits,
but any changes made to the ~/work directory and its files in the container will remain intact on the host.
The -i flag keeps the container's STDIN open, and lets you send input to the container through standard input.
The -t flag attaches a pseudo-TTY to the container.
By default, [jupyter's root_dir](https://jupyter-server.readthedocs.io/en/latest/other/full-config.html) is `/home/jovyan`.
So, new notebooks will be saved there, unless you change the directory in the file browser.
To change the default directory, you must specify `ServerApp.root_dir` by adding this line to the previous command: `start-notebook.py --ServerApp.root_dir=/home/jovyan/work`.
JupyterLab is the default for all the Jupyter Docker Stacks images.
It is still possible to switch back to Jupyter Notebook (or to launch a different startup command).
You can achieve this by passing the environment variable DOCKER_STACKS_JUPYTER_CMD=notebook (or any other valid jupyter subcommand) at container startup;
more information is available in the documentation.
2022-07-05, aarch64 self-hosted runners were sponsored by @mathbunnyru.
Please, consider sponsoring his work on GitHub2023-10-31, aarch64 self-hosted runners are sponsored by an amazing 2i2c non-profit organizationx86_64 and aarch64 platformsaarch64- or x86_64- tag prefixes, for example, quay.io/jupyter/base-notebook:aarch64-python-3.11.62022-09-21, we create multi-platform images (except tensorflow-notebook)2023-06-01, we create a multi-platform tensorflow-notebook image as well2024-02-24, we create CUDA enabled variants of pytorch-notebook image for x86_64 platform2024-03-26, we create CUDA enabled variant of tensorflow-notebook image for x86_64 platformThis project only builds one set of images at a time.
If you want to use the older Ubuntu and/or Python version, you can use the following images:
| Build Date | Ubuntu | Python | Tag |
|---|---|---|---|
| 2022-10-09 | 20.04 | 3.7 | 1aac87eb7fa5 |
| 2022-10-09 | 20.04 | 3.8 | a374cab4fcb6 |
| 2022-10-09 | 20.04 | 3.9 | 5ae537728c69 |
| 2022-10-09 | 20.04 | 3.10 | f3079808ca8c |
| 2022-10-09 | 22.04 | 3.7 | b86753318aa1 |
| 2022-10-09 | 22.04 | 3.8 | 7285848c0a11 |
| 2022-10-09 | 22.04 | 3.9 | ed2908bbb62e |
| 2023-05-30 | 22.04 | 3.10 | 4d70cf8da953 |
| 2024-08-26 | 22.04 | 3.11 | 00987883e58d |
| 2024-10-22 | 24.04 | 3.11 | b74418220768 |
| weekly build | 24.04 | 3.12 | latest |
Please see the Contributor Guide on ReadTheDocs for information about how to contribute recipes, features, tests, and community-maintained stacks.
