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brew

Install jupytext with Homebrew, apt

Jupyter notebooks as Markdown documents, Julia, Python or R scripts. Version 1.19.4 via Homebrew; verified 2026-06-23.

install

Additional install commands

macOS

Homebrewverified · 100%
brew install jupytext

local Homebrew formula metadata

Linux

Debian aptverified · 92%
sudo apt install python3-jupytext

Debian stable package indexes · python3-jupytext · source: deb.debian.org

overview

Package summary

Jupyter notebooks as Markdown documents, Julia, Python or R scripts

Commands and aliases

  • jupytext
  • jupytext-config

history

Project history and usage

Jupytext is a Jupyter extension and command-line tool that represents notebooks as plain text: Markdown, MyST Markdown, R Markdown, Python scripts, Julia scripts, R scripts, and other text formats. Its core idea is pairing `.ipynb` notebooks with reviewable files that work naturally with Git.

Project history

Jupytext was created by Marc Wouts and the GitHub repository was created on 2018-06-15. The project appeared during a period when Jupyter notebooks were already widely used but their JSON format made code review, merge conflict handling, and text-editor workflows awkward.

By early 2019, Jupytext 1.0 had established the paired-notebook workflow: users could keep a notebook synchronized with a `.py`, `.md`, `.Rmd`, or similar text representation. The official changelog records the addition of Jupyter Notebook and JupyterLab extensions and a growing command-line interface around paired paths and conversion.

Adoption history

Jupytext adoption has followed the pain points of notebook-heavy teams: clean Git diffs, less noisy review, editable scripts, and reproducible notebooks without storing outputs. The official FAQ recommends versioning only the text representation when outputs are not needed, while regenerating the `.ipynb` file locally.

The package metadata in this batch shows Jupytext in Homebrew and Debian-family packaging, and the official repository metadata showed more than 7,000 GitHub stars on 2026-07-01. Its adoption is especially visible in research, education, and data-science repositories that want notebooks and conventional source control at the same time.

How it is used

Jupytext is used from the command line with `jupytext`, from JupyterLab and Notebook menus, and through configuration files such as `jupytext.toml` or `pyproject.toml`. Typical workflows pair an `.ipynb` file with a percent-format Python script or Markdown file, then commit the text file for readable diffs.

It is also used as a bridge between notebook interfaces and IDEs: edit the text representation in an editor, open it as a notebook, or synchronize it with an `.ipynb` file when rich outputs are needed.

Why package nerds care

Jupytext is a classic package-nerd fix for a format mismatch. It does not replace notebooks; it makes them behave like source files when package managers, Git, code review, pre-commit hooks, and IDEs expect text.

Its importance comes from being small but ecosystem-shaped: it touches Jupyter server extensions, lab extensions, CLI conversion, file format conventions, and project configuration without forcing users to abandon the notebook UI.

Timeline

  • 2018-06-15: The Jupytext GitHub repository is created.
  • 2019-02-19: Marc Wouts publishes a Jupytext 1.0 highlights post.
  • 2019-02-23: PyPI records the Jupytext 1.0.1 release candidate.
  • 2022-11-11: Project Jupyter documentation describes Jupytext as a common way to save notebooks as Markdown for version control.
  • 2024-02-16: The Jupyter Blog announces the return of the Jupytext menu for JupyterLab-era workflows.
  • 2026-06-21: Jupytext 1.19.4 is published on GitHub.

Related projects

  • JupyterLab and Jupyter Notebook are the notebook interfaces Jupytext integrates with.
  • Git is the version-control system whose text-diff model motivates many Jupytext workflows.
  • MyST Markdown and R Markdown are related plain-text notebook/document formats supported by the Jupytext ecosystem.
  • nbconvert and notebook execution tools often appear near Jupytext in reproducible notebook pipelines.

security posture

No protected-tool coverage found yet

No matching local secret-handling manifest was found for jupytext. Nucleus package metadata is still published here so future coverage has a stable package URL.

Install behavior

  • No Homebrew post-install hook is recorded in formula metadata.
  • Homebrew bottle metadata is available for 6 platform targets.
  • Installs with 3 runtime dependencies.

Recommended review

Before unattended agent use, check whether the tool reads plaintext credentials, writes remote state, publishes artifacts, or shells out to plugins.

local files

Configuration and credential file locations

These source-backed paths show where this package keeps local settings or durable credentials. Automic Vault can use them as review targets for secret scanning, migration, and command approval.

Configuration files

Config paths the tool may read or write during local use.

Unix
jupytext.tomlpyproject.toml

executables

Installed executables

CommandKindExposureNote
jupytextcliglobal executable
jupytext-configcliglobal executable

freshness

Version and freshness

These signals separate page generation age, package-manager activity, and upstream release comparison. Version lag is warned only when an evidence URL and comparable versions are present.

page generated2026-07-08
manager version1.19.4
manager updated2026-06-23
local dataok
upstreamnot checked
latest detectednot detected

https://jupytext.readthedocs.io/en/latest/

install metadata

Package metadata

Package keybrew:jupytext
Version1.19.4
Package managerHomebrew
Package manager pagehttps://formulae.brew.sh/formula/jupytext
Homepagehttps://jupytext.readthedocs.io/en/latest/
Repositoryhttps://github.com/mwouts/jupytext
Upstream docshttps://jupytext.readthedocs.io/en/latest
LicenseMIT
Source archivehttps://files.pythonhosted.org/packages/3b/52/e014296ac8f40ca783aeb73dae52e65edbb0eaae0dcdc1ea41bfaa8aebf7/jupytext-1.19.4.tar.gz
Last updated2026-06-23T00:20:29Z
Pulseupdated
Dependencieslibyaml, python@3.14, rpds-py
Bottleavailable (on arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux)
Homebrew post-installnot defined
Servicenone declared

registry facts

Source database details

Source DatabaseHomebrew formula API
Taphomebrew/core
Full Namejupytext
Version Scheme0
Revision0
Head VersionHEAD
Bottle Stable Root URLhttps://ghcr.io/v2/homebrew/core
Deprecatedno
Disabledno
Keg Onlyno
URL Keys
  • head
  • stable

source database matches

Other package-manager records

Matches are pulled from external package-manager indexes and kept separate from local Automic Vault package links.

Debian apt95%

python3-jupytext 1.16.4+ds1-1

Jupyter notebooks as Markdown documents, Julia, Python or R scripts

https://github.com/mwouts/jupytext

sudo apt install python3-jupytext
  • Section: python
  • Architecture: all
  • Source Package: jupytext
  • 8 dependencies
  • normalized package name match
  • Matched by: Jupytext
Debian stable package indexes · deb.debian.org · Debian stable package indexes: python3-jupytext from https://deb.debian.org/debian/dists/stable/main/binary-amd64/Packages.xz

source trail

Generated from repository data

This page is generated by av-web from the private package SQLite artifact built by scripts/generate-pkg-sqlite.py.

Used sources

  • Geiger risk classifier
  • Nucleus package database
  • av.db category and tag curation
  • cross-ecosystem install command graph
  • curated configuration and credential file locations
  • curated package history
  • external package-manager database matches
  • package relationship graph
  • package version freshness
  • package-page enrichment