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brew

jupytext mit Homebrew, apt installieren

Prüfe Installationswege, Executables, Metadaten und Sicherheitshinweise für jupytext in AI-Agent-Workflows.

Installation

Weitere Installationsbefehle

macOS

Homebrewverifiziert · 100%
brew install jupytext

local Homebrew formula metadata

Linux

Debian aptverifiziert · 92%
sudo apt install python3-jupytext

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

Überblick

Paketzusammenfassung

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

Befehle und Aliase

  • jupytext
  • jupytext-config

Verlauf

Projektgeschichte und Nutzung

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.

Projektgeschichte

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.

Adoptionsgeschichte

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.

Wie es verwendet wird

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.

Warum Paket-Nerds sich dafür interessieren

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.

Zeitleiste

  • 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.

Sicherheitslage

Noch keine Protected-Tool-Abdeckung gefunden

Für jupytext wurde kein passendes lokales Secret-Handling-Manifest gefunden. Nucleus-Paketmetadaten bleiben hier veröffentlicht, damit künftige Abdeckung eine stabile Paket-URL hat.

Installationsverhalten

  • In den Formelmetadaten ist kein Homebrew-Post-install-Hook erfasst.
  • Homebrew-Bottle-Metadaten sind für 6 Plattformziele verfügbar.
  • Installiert mit 3 Laufzeitabhängigkeiten.

Empfohlene Prüfung

Prüfe vor unbeaufsichtigter Agent-Nutzung, ob das Tool Klartext-Credentials liest, Remote-Zustand schreibt, Artefakte veröffentlicht oder Plugins ausführt.

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

Installierte Executables

BefehlArtSichtbarkeitHinweis
jupytextcliglobales Executable
jupytext-configcliglobales Executable

Aktualität

Version und Aktualität

Diese Signale trennen das Alter der Seitengenerierung, Aktivität des Paketmanagers und Upstream-Release-Vergleich. Versionsrückstand wird nur gemeldet, wenn eine Evidenz-URL und vergleichbare Versionen vorhanden sind.

Seite generiert2026-07-08
Manager-Version1.19.4
Manager aktualisiert2026-06-23
lokale DatenOK
Upstreamnot checked
neueste erkannte Versionnicht erkannt

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

Installationsmetadaten

Paketmetadaten

Paketschlüsselbrew:jupytext
Version1.19.4
PaketmanagerHomebrew
Paketmanager-Seitehttps://formulae.brew.sh/formula/jupytext
Homepagehttps://jupytext.readthedocs.io/en/latest/
Repositoryhttps://github.com/mwouts/jupytext
Upstream-Dokumentationhttps://jupytext.readthedocs.io/en/latest
LizenzMIT
Quellarchivhttps://files.pythonhosted.org/packages/3b/52/e014296ac8f40ca783aeb73dae52e65edbb0eaae0dcdc1ea41bfaa8aebf7/jupytext-1.19.4.tar.gz
Zuletzt aktualisiert2026-06-23T00:20:29Z
Pulseupdated
Abhängigkeitenlibyaml, python@3.14, rpds-py
Bottleverfügbar (auf arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux)
Homebrew post-installnicht definiert
Dienstkeiner deklariert

Registry-Fakten

Details aus der Quelldatenbank

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-Datenbank-Treffer

Andere Paketmanager-Einträge

Treffer stammen aus externen Paketmanager-Indizes und bleiben von lokalen Automic-Vault-Paketlinks getrennt.

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 Abhängigkeiten
  • normalized package name match
  • Abgeglichen nach: 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

Quellspur

Aus Repository-Daten generiert

Diese Seite wird von av-web aus dem privaten Paket-SQLite-Artefakt bereitgestellt, das scripts/generate-pkg-sqlite.py erstellt.

Verwendete Quellen

  • 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