{"repo":"jupyter/docker-stacks","free":true,"listed":false,"github":"https://github.com/jupyter/docker-stacks","clone":"git clone https://github.com/jupyter/docker-stacks.git","description":"Ready-to-run Docker images containing Jupyter applications","language":"Python","stars":8456,"topics":["notebook","jupyter","docker","jupyterhub","jupyter-notebook","jupyterlab","python","ipython","ipython-notebook","jupyter-notebooks"],"license":"BSD-3-Clause","category":"deployment-docker-iac","readme_excerpt":"Jupyter Docker Stacks 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): - Start a personal Jupyter Server with the JupyterLab frontend (default) - Run JupyterLab for a team using JupyterHub - Start a personal Jupyter Server with the Jupyter Notebook frontend in a local Docker container - Write your own project Dockerfile Quick Start You can try the quay.io/jupyter/base-notebook image on . 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. Example 1 This command pulls the jupyter/scipy-notebook image tagged 2026-07-28 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: You can modify the host port to which the container's port is mapped by changing the value of the -p option to -p 8888:8888 . Visiting http:// :10000/?token= in a browser loads JupyterLab, where: - The hostname is the name of the computer running Docker - The token is the secret token printed in the console. The container remains intact for restart after the Server exits. Example 2 This co","default_branch":null,"files":null,"tree":[],"storefront":"/r/jupyter","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/jupyter/docker-stacks/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}