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brew

使用 Homebrew, apt 安装 jupytext

查看 jupytext 的安装路径、可执行文件、元数据以及面向 AI 代理工作流的安全说明。

安装

其他安装命令

macOS

Homebrew已验证 · 100%
brew install jupytext

local Homebrew formula metadata

Linux

Debian apt已验证 · 92%
sudo apt install python3-jupytext

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

概览

软件包摘要

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

命令和别名

  • jupytext
  • jupytext-config

历史

项目历史与用法

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.

项目历史

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.

采用历史

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.

使用方式

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.

为什么软件包爱好者会关心

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.

时间线

  • 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.

安全态势

尚未找到受保护工具覆盖

没有找到 jupytext 的匹配本地密钥处理 manifest。Nucleus 软件包元数据仍在此发布,以便未来覆盖拥有稳定的软件包 URL。

安装行为

  • formula 元数据中未记录 Homebrew post-install 钩子。
  • Homebrew bottle 元数据适用于 6 个平台目标。
  • 安装时包含 3 个运行时依赖。

建议审查

在无人值守的代理使用前,请检查该工具是否读取明文凭据、写入远程状态、发布制品或调用插件。

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

可执行文件

已安装的可执行文件

命令类型暴露范围备注
jupytextcli全局可执行文件
jupytext-configcli全局可执行文件

新鲜度

版本和新鲜度

这些信号区分页生成时间、软件包管理器活动和上游发布比较。只有存在证据 URL 和可比较版本时,才会提示版本落后。

页面生成时间2026-07-08
管理器版本1.19.4
管理器更新时间2026-06-23
本地数据OK
上游not checked
检测到的最新版本未检测到

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

安装元数据

软件包元数据

软件包键brew:jupytext
版本1.19.4
软件包管理器Homebrew
软件包管理器页面https://formulae.brew.sh/formula/jupytext
主页https://jupytext.readthedocs.io/en/latest/
仓库https://github.com/mwouts/jupytext
上游文档https://jupytext.readthedocs.io/en/latest
许可证MIT
源码归档https://files.pythonhosted.org/packages/3b/52/e014296ac8f40ca783aeb73dae52e65edbb0eaae0dcdc1ea41bfaa8aebf7/jupytext-1.19.4.tar.gz
最后更新2026-06-23T00:20:29Z
Pulseupdated
依赖libyaml, python@3.14, rpds-py
Bottle可用 (于 arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux)
Homebrew post-install未定义
服务未声明

注册表事实

源数据库详情

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

源数据库匹配

其他软件包管理器记录

匹配项来自外部软件包管理器索引,并与本地 Automic Vault 软件包链接分开显示。

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 依赖
  • normalized package name match
  • 匹配方式: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

来源线索

由仓库数据生成

此页面由 av-webscripts/generate-pkg-sqlite.py 生成的私有软件包 SQLite 工件提供。

使用的来源

  • 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