# JuliaLang/IJulia.jl

Julia kernel for Jupyter

Repository: https://github.com/JuliaLang/IJulia.jl
Canonical: https://ross.abutalabs.com/products/ijuliajl
Homepage: https://ijulia.org/
Language: Julia
License: MIT
License Family: permissive
Last push: 2026-06-23T05:55:43+00:00

## Health v2 (maintenance only)
Score: 85/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 89, release rhythm 72, longevity 100
- inputs: {"age_days": 4929, "days_push": 71, "days_rel": 189, "gap_med": 8, "n_releases_24m": 24}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2897, forks 425 (observed 2026-08-28T04:07:28.766728+00:00)

## What it is
IJulia is a Jupyter kernel that lets you run the Julia language inside Jupyter Notebook, JupyterLab, and nteract. It combines Julia's computing power with Jupyter's interactive notebook interface for code, text, math, and multimedia.

## Use cases
- run julia in jupyter notebook
- julia kernel for jupyterlab
- interactive data science with julia
- literate programming in julia notebooks
- teach julia with jupyter notebooks

## When to choose
- you want to use Julia in Jupyter Notebook, JupyterLab, or nteract
- you need interactive, notebook-based Julia computing with rich media output
- you want to mix code, formatted text, and math in Julia documents

## When to avoid
- you only need to run Julia scripts without notebooks
- you prefer a different Julia IDE like VS Code or Pluto
- you cannot install Python/Jupyter or its bundled Miniconda distribution

## Facets
- artifact type: plugin
- maturity: active
- function: interpreter, developer-tools, data-science
- domain: data-science, programming-languages, education
- platform: cross-platform, python
- tags: jupyter-kernel, notebook, repl, interactive-computing, julia

## Member repositories
- JuliaLang/IJulia.jl (main) score 85

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:28.766728+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 2026-08-30T07:35:13.427273+00:00, confidence not recorded.
  - readme: https://github.com/JuliaLang/IJulia.jl (fetched 2026-08-28T04:07:28.766728+00:00, sha 460f7dcf9410)
  - homepage: https://ijulia.org/ (fetched 2026-08-29T09:49:59.283370+00:00, sha 44136fa355b3)
- Data as of 2026-08-30T08:39:29.467469+00:00.