Ross ROSS = Recommend OSS · open-source software intelligence for agents

jupyter/jupyter

Jupyter metapackage for installation and documentation observed · 2026-08-28

github.com/jupyter/jupyter · homepage · Python · BSD-3-Clause (permissive) observed · 2026-08-28

Health v2 · maintenance only

73/100

  • Activity 91
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 4108
  • days_rel: n/a
  • days_push: 55
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

15350 stars · 4543 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

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

library · maturity stable

developer-tools documentation data-science data-visualization data-science developer-tools education documentation python cross-platform metapackage interactive-computing notebooks jupyter-ecosystem sphinx-docs web-server

7 sources

Member repositories

RepositoryRoleHealth v2
jupyter/jupytermain73

For agents

markdown · JSON · MCP: product_card(name="jupyter/jupyter")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem