# jupytext/jupytext

Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts

Repository: https://github.com/jupytext/jupytext
Canonical: https://ross.abutalabs.com/products/jupytext
Homepage: https://jupytext.org/
Language: Python
License: MIT
License Family: permissive
Topics: jupyter-notebook, jupyterlab-extension, version-control, knitr, rstudio, markdown, rmarkdown, python, hydrogen, notebooks, jupyterlab
Last push: 2026-08-18T01:37:42+00:00

## Health v2 (maintenance only)
Score: 93/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 82, longevity 100
- inputs: {"age_days": 3001, "days_push": 16, "days_rel": 43, "gap_med": 35.5, "n_releases_24m": 15}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 7232, forks 424 (observed 2026-08-28T04:09:57.664210+00:00)

## What it is
Jupytext is a Python package and Jupyter extension that converts Jupyter notebooks two-way between .ipynb and plain-text formats such as Markdown, MyST, Quarto, and percent-format scripts for Python, Julia, R and more. It supports paired notebooks that keep a text file and an .ipynb in sync, enabling clean diffs, IDE editing, and easier AI-assisted refactoring.

## Use cases
- version control jupyter notebooks with clean diffs
- convert ipynb to python script or markdown
- edit notebooks in VS Code or PyCharm
- pair ipynb with a py file and keep them in sync
- refactor notebook code with AI assistants
- publish notebooks with Jupyter Book or Quarto

## When to choose
- you want meaningful git diffs for notebooks
- you prefer editing notebook code in a regular IDE
- you need to import notebook code as a module or script
- you want AI tools to read and edit notebooks as plain text

## When to avoid
- you only need to execute notebooks without text conversion
- you rely on rich outputs stored in the text file itself
- you need async contents managers like jupyter-fs's default MetaManager

## Facets
- artifact type: plugin
- maturity: active
- function: developer-tools, version-control, documentation, markdown, cli
- domain: developer-tools, data-science, version-control, documentation
- platform: python, cross-platform
- tags: jupyter-notebooks, notebook-conversion, paired-notebooks, jupyterlab-extension, plain-text-notebooks, ide-editing, jupyter

## Member repositories
- jupytext/jupytext (main) score 93

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:57.664210+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 2026-08-29T17:39:46.511610+00:00, confidence not recorded.
  - readme: https://github.com/jupytext/jupytext (fetched 2026-08-28T04:09:57.664210+00:00, sha 4c99f1c41afe)
  - homepage: https://jupytext.org/ (fetched 2026-08-29T08:34:38.983020+00:00, sha f86e8c18e26f)
  - site_page: https://jupytext.org/getting-started/introduction (fetched 2026-08-29T08:34:38.992202+00:00, sha 3f8435690d31)
  - site_page: https://jupytext.org/getting-started/install (fetched 2026-08-29T08:34:38.994049+00:00, sha 84fb7b1bd1ab)
  - registry_pypi: https://pypi.org/pypi/jupytext/json (fetched 2026-08-29T08:34:38.998988+00:00, sha 81ea8f376dcd)
  - site_page: https://jupytext.org/integrations/vs-code (fetched 2026-08-29T08:34:38.995762+00:00, sha 4a65073a72fe)
  - site_page: https://jupytext.org/reference/faq (fetched 2026-08-29T08:34:38.997305+00:00, sha 7020f3ebbcef)
- Data as of 2026-08-30T08:39:29.467469+00:00.