# jupyter/docker-stacks

Ready-to-run Docker images containing Jupyter applications

Repository: https://github.com/jupyter/docker-stacks
Canonical: https://ross.abutalabs.com/products/docker-stacks
Homepage: https://jupyter-docker-stacks.readthedocs.io
Language: Python
License: BSD-3-Clause
License Family: permissive
Topics: notebook, jupyter, docker, jupyterhub, jupyter-notebook, jupyterlab, python, ipython, ipython-notebook, jupyter-notebooks
Last push: 2026-08-24T11:05:23+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 35, longevity 100
- inputs: {"age_days": 4067, "days_push": 9, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 8459, forks 2983 (observed 2026-08-28T04:10:21.272213+00:00)

## What it is
A set of ready-to-run Docker images containing Jupyter applications and interactive computing tools, published to Quay.io. Images support running JupyterLab or Notebook servers locally, for teams via JupyterHub, or as a base for custom Dockerfiles.

## Use cases
- run jupyterlab in a docker container
- set up a reproducible python data science environment
- host jupyter notebooks for a team with jupyterhub
- quickly spin up a jupyter server locally
- build a custom notebook image for a project
- try jupyter without installing python

## When to choose
- you want prebuilt, maintained Jupyter environments with common data science packages
- you need consistent, reproducible notebook environments across machines or teams
- you deploy JupyterHub for multiple users

## When to avoid
- you need a lightweight setup without Docker
- you require highly customized environments where building your own image from scratch is simpler
- you only need Jupyter installed directly on your machine

## Facets
- artifact type: infra-config
- maturity: active
- function: container-runtime, developer-tools, data-science
- domain: data-science, developer-tools, education
- platform: python, cross-platform, cloud, self-hosted
- tags: jupyter, jupyterlab, jupyterhub, docker-images, notebook, reproducible-environments, quay-io, containers, docker

## Member repositories
- jupyter/docker-stacks (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:21.272213+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:27:12.507009+00:00, confidence not recorded.
  - readme: https://github.com/jupyter/docker-stacks (fetched 2026-08-28T04:10:21.272213+00:00, sha e51821223b79)
  - homepage: https://jupyter-docker-stacks.readthedocs.io (fetched 2026-08-29T08:27:00.188634+00:00, sha c1fb39d9844a)
- Data as of 2026-08-30T08:39:29.467469+00:00.