Automic Vault

brew 软件包情报

安装 jupyterlab

查看 jupyterlab 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

使用 Automic Vault 安装

Automic Vault
下载 AV
sudo av install brew:jupyterlab

macOS

Homebrew 已验证 · 100%
brew install jupyterlab

local Homebrew formula metadata

Linux

Alpine Linux apk 已验证 · 92%
sudo apk add jupyterlab

Alpine Linux edge package indexes · jupyterlab · 来源: dl-cdn.alpinelinux.org

Debian apt 已验证 · 92%
sudo apt install jupyterlab

Debian stable package indexes · jupyterlab · 来源: deb.debian.org

Fedora dnf 已验证 · 92%
sudo dnf install jupyterlab

Fedora Rawhide package metadata · jupyterlab · 来源: dl.fedoraproject.org

Arch Linux pacman 已验证 · 92%
sudo pacman -S jupyterlab

Arch Linux sync databases · jupyterlab · 来源: geo.mirror.pkgbuild.com

Nix 已验证 · 92%
nix profile install nixpkgs#jupyter

nixpkgs package indexes · jupyter · 来源: raw.githubusercontent.com

Ubuntu apt 已验证 · 92%
sudo apt install jupyter

Ubuntu 24.04 LTS package indexes · jupyter · 来源: archive.ubuntu.com

openSUSE zypper 已验证 · 92%
sudo zypper install jupyter-nbconvert

openSUSE Tumbleweed package metadata · jupyter-nbconvert · 来源: download.opensuse.org

Windows

Windows Package Manager 已验证 · 92%
winget install --id ProjectJupyter.JupyterLab -e

Windows Package Manager source index · ProjectJupyter.JupyterLab · 来源: cdn.winget.microsoft.com

平台说明

  • 没有特定于此软件包的平台说明。

概览

软件包摘要

Automic Vault 根据本地软件包数据发布 jupyterlab 的安装路径、可执行文件事实和安全元数据。

命令和别名

  • jlpm
  • jupyter
  • jupyter-console
  • jupyter-dejavu
  • jupyter-events
  • jupyter-execute
  • jupyter-kernel
  • jupyter-kernelspec
  • jupyter-lab
  • jupyter-labextension
  • jupyter-labhub
  • jupyter-migrate
  • jupyter-nbconvert
  • jupyter-run
  • jupyter-server
  • jupyter-troubleshoot
  • jupyter-trust

来源摘要

Interactive environments for writing and running code

安全态势

风险级别:orange

formula declares a Homebrew service.

风险分类器

orange 风险 · medium 置信度 · infrastructure

原因

  • formula declares a Homebrew service

信号

  • metadata:service

安装行为

  • No Homebrew post-install hook is recorded in formula metadata.
  • Formula metadata declares a service or daemon block.
  • Homebrew bottle metadata is available for 6 platform targets.
  • 安装时包含 8 个运行时依赖。
  • 构建元数据列出 2 个构建依赖。

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。

可执行文件

已安装的可执行文件

命令类型暴露范围备注
jlpmcliglobal executable
jupytercliglobal executable
jupyter-consolecliglobal executable
jupyter-dejavucliglobal executable
jupyter-eventscliglobal executable
jupyter-executecliglobal executable
jupyter-kernelcliglobal executable
jupyter-kernelspeccliglobal executable
jupyter-labcliglobal executable
jupyter-labextensioncliglobal executable
jupyter-labhubcliglobal executable
jupyter-migratecliglobal executable
jupyter-nbconvertcliglobal executable
jupyter-runcliglobal executable
jupyter-servercliglobal executable
jupyter-troubleshootcliglobal executable
jupyter-trustcliglobal executable

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2026-05-26
管理器版本4.5.7
管理器更新时间2026-05-21
本地数据ok
上游not checked
检测到的最新版本未检测到

https://jupyter.org/

  • info Release/tag comparison is only available for GitHub repositories. https://jupyter.org/ none 置信度

安装元数据

软件包元数据

软件包键brew:jupyterlab
版本4.5.7
软件包管理器Homebrew
软件包管理器页面https://formulae.brew.sh/formula/jupyterlab
主页https://jupyter.org/
上游文档https://jupyter.org/
许可证BSD-3-Clause AND MIT
源码归档https://files.pythonhosted.org/packages/2b/22/8440ec827762146e7cdecf04335bd348795899d29dc6ae82238707353a2c/jupyterlab-4.5.7.tar.gz
更新2026-05-21T15:37:19Z
Pulseupdated
依赖certifi, cffi, libyaml, node, pandoc, python@3.14, rpds-py, zeromq
构建依赖cmake, ninja
macOS 提供的库libffi
Bottle可用 (arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux)
Homebrew post-install未定义
服务declared
CaveatsAdditional kernels can be installed into the shared jupyter directory $HOMEBREW_PREFIX/etc/jupyter

来源线索

由仓库数据生成

此页面由 scripts/generate-pkg-pages.py 写入。如果 www/pkg/ 相对于本地软件包数据已过期,部署会拒绝发布。

使用的来源

  • Geiger risk classifier
  • Nucleus package database
  • cross-ecosystem install command graph
  • package relationship graph
  • package version freshness
  • package-page enrichment