# jupyter/jupyter

Jupyter metapackage for installation and documentation

Repository: https://github.com/jupyter/jupyter
Canonical: https://ross.abutalabs.com/products/jupyter
Homepage: https://jupyter.readthedocs.io/
Language: Python
License: BSD-3-Clause
License Family: permissive
Last push: 2026-07-09T16:05:40+00:00

## Health v2 (maintenance only)
Score: 73/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 91, release rhythm 35, longevity 100
- inputs: {"age_days": 4108, "days_push": 55, "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 15350, forks 4543 (observed 2026-08-28T04:11:09.697589+00:00)

## What it is
The Jupyter metapackage, a Python package that installs the core Jupyter ecosystem (notebook interfaces, console, kernels infrastructure) and hosts the umbrella Project Jupyter documentation. It is primarily an installation convenience and documentation hub rather than a standalone tool.

## Use cases
- install the jupyter notebook ecosystem with one pip command
- read official project jupyter documentation
- learn what jupyter notebook and jupyterlab are
- set up an interactive computing environment for data science
- build the jupyter documentation site locally
- try jupyter notebooks in the browser without installing

## When to choose
- you want a single pip install that pulls in the main Jupyter tools
- you are new to Jupyter and need the official documentation and overview
- you want the canonical entry point to the Jupyter ecosystem

## When to avoid
- you only need JupyterLab or Jupyter Notebook specifically - install those packages directly
- you need a specific subproject like JupyterHub or nbconvert
- you want a lightweight install without the full metapackage dependency set

## Facets
- artifact type: library
- maturity: stable
- function: developer-tools, documentation, data-science, data-visualization
- domain: data-science, developer-tools, education, documentation
- platform: python, cross-platform
- tags: metapackage, interactive-computing, notebooks, jupyter-ecosystem, sphinx-docs, web-server

## Member repositories
- jupyter/jupyter (main) score 73

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:09.697589+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 2026-08-29T17:06:21.578613+00:00, confidence not recorded.
  - readme: https://github.com/jupyter/jupyter (fetched 2026-08-28T04:11:09.697589+00:00, sha 7d4d52f4312b)
  - homepage: https://jupyter.readthedocs.io/ (fetched 2026-08-29T08:04:22.852366+00:00, sha 987a84697b32)
  - site_page: https://docs.jupyter.org/en/latest/releases.html (fetched 2026-08-29T08:04:22.855413+00:00, sha 84bbff90bfdf)
  - site_page: https://docs.jupyter.org/en/latest/projects/content-projects.html (fetched 2026-08-29T08:04:22.857131+00:00, sha bf787c3502aa)
  - site_page: https://docs.jupyter.org/en/latest/start/index.html (fetched 2026-08-29T08:04:22.858645+00:00, sha a41821786238)
  - site_page: https://docs.jupyter.org/en/latest/contributing/docs-contributions/index.html (fetched 2026-08-29T08:04:22.860150+00:00, sha f5532301f6ef)
  - site_page: https://jupyter.org/about (fetched 2026-08-29T08:04:22.861669+00:00, sha ba08c8fa0c1c)
- Data as of 2026-08-30T08:39:29.467469+00:00.