macOS
brew install ipythonlocal Homebrew formula metadata
brew
Consultez les chemins d'installation, exécutables, métadonnées et notes de sécurité de ipython pour les workflows d'agents IA.
installation
brew install ipythonlocal Homebrew formula metadata
sudo apk add ipythonAlpine Linux edge package indexes · ipython · Source: dl-cdn.alpinelinux.org
sudo apt install ipython3Debian stable package indexes · ipython3 · Source: deb.debian.org
sudo dnf install python3-ipythonFedora Rawhide package metadata · python3-ipython · Source: dl.fedoraproject.org
sudo pacman -S ipythonArch Linux sync databases · ipython · Source: geo.mirror.pkgbuild.com
sudo zypper install python311-ipythonopenSUSE Tumbleweed package metadata · python311-ipython · Source: download.opensuse.org
aperçu
Interactive computing in Python
historique
IPython is the influential interactive Python shell and computing environment that helped define modern Python REPL ergonomics: rich introspection, history, magic commands, colored tracebacks, object display, shell integration, and a profile-based configuration system.
The official IPython history says Fernando Perez started IPython in 2001 while a graduate student at the University of Colorado, Boulder. It grew from three projects: Perez's ipython, Janko Hauser's IPP, and Nathan Gray's LazyPython.
Perez's stated goal was to combine shell-like features, IDL/Matlab-style numerical work, Mathematica-like prompt and output history, and strong object introspection into a unified Python environment. That origin explains why IPython became both a programmer convenience tool and a scientific-computing foundation.
IPython later became the human-facing terminal shell part of a larger interactive-computing ecosystem. The Jupyter split moved notebooks, kernels, and language-agnostic protocols into Jupyter projects, while IPython continued as the Python terminal shell, kernel implementation lineage, and library of interactive features.
The long 8.x release notes show ongoing adaptation to Python version changes, prompt-toolkit behavior, debugger behavior, magics, rich display, and even experimental LLM completion hooks, while preserving the central command-line shell identity.
IPython was adopted heavily in scientific Python because it made exploratory programming feel closer to mathematical systems while remaining ordinary Python. It became a common dependency or companion for NumPy, SciPy, matplotlib, notebooks, teaching environments, and data-analysis workflows.
Package managers matter to IPython's spread: it is shipped by Homebrew and major Linux distributions, while Python users also install it through Python packaging tools. That dual identity makes it both a system package and a Python ecosystem package.
Users run the ipython command for an enhanced REPL with tab completion, introspection, command history, magics, shell escapes, debugging helpers, rich tracebacks, and custom display hooks. Configuration lives under IPython profiles, including files such as ipython_config.py and ipython_config.json.
IPython is also used indirectly by tools that embed interactive shells, expose kernels, or rely on IPython display and completion behavior. Its API surface is larger than the visible command because interactive Python became a platform for other developer tools.
IPython is package-nerd significant because it is a package that changed user expectations for a language runtime's shell without replacing the language. Its dependency graph, configuration files, terminal integration, and split history with Jupyter make it more than just a binary named ipython.
It is also a case study in ecosystem boundary-setting: notebooks, kernels, and protocols became Jupyter projects, while IPython kept the Python-specific shell and interactive machinery.
posture de sécurité
narrow executable package without higher-risk signals.
risque vert · confiance faible · appliance
Avant une utilisation sans surveillance par un agent, vérifiez si l'outil lit des identifiants en clair, écrit un état distant, publie des artefacts ou lance des plugins.
local files
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.
Config paths the tool may read or write during local use.
~/.ipython/profile_default/ipython_config.py~/.ipython/profile_default/ipython_config.jsonexécutables
| Commande | Type | Exposition | Note |
|---|---|---|---|
ipython | cli | exécutable global | |
ipython3 | cli | exécutable global |
fraîcheur
Ces signaux séparent l'âge de génération de la page, l'activité du gestionnaire de paquets et la comparaison avec les versions amont. Un retard de version n'est signalé que lorsqu'une URL de preuve et des versions comparables sont présentes.
métadonnées d'installation
| Clé du paquet | brew:ipython |
|---|---|
| Version | 9.15.0 |
| Gestionnaire de paquets | Homebrew |
| Page du gestionnaire de paquets | https://formulae.brew.sh/formula/ipython |
| Page d'accueil | https://ipython.org/ |
| Dépôt | https://github.com/ipython/ipython |
| Docs amont | https://ipython.org/documentation.html |
| Licence | BSD-3-Clause |
| Archive source | https://files.pythonhosted.org/packages/53/59/165d3b4d75cc34add3122c4417ecb229085140ac573103c223cd01dde96f/ipython-9.15.0.tar.gz |
| Dernière mise à jour | 2026-06-27T12:13:46Z |
| Pulse | updated |
| Dépendances | python@3.14 |
| Bouteille | disponible (sur arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux) |
| post-install Homebrew | non défini |
| Service | aucun déclaré |
faits du registre
| Source Database | Homebrew formula API |
|---|---|
| Tap | homebrew/core |
| Full Name | ipython |
| Version Scheme | 0 |
| Revision | 0 |
| Head Version | HEAD |
| Bottle Stable Root URL | https://ghcr.io/v2/homebrew/core |
| Deprecated | no |
| Disabled | no |
| Keg Only | no |
| URL Keys |
|
correspondances dans les bases sources
Les correspondances proviennent d’index externes de gestionnaires de paquets et restent séparées des liens de paquets Automic Vault locaux.
ipython3 8.35.0-1
Enhanced interactive Python 3 shell
https://github.com/ipython/ipython
sudo apt install ipython3python-ipython-doc 8.35.0-1
Enhanced interactive Python shell (documentation)
https://github.com/ipython/ipython
sudo apt install python-ipython-docpython3-ipython 8.35.0-1
Enhanced interactive Python shell (Python 3 version)
https://github.com/ipython/ipython
sudo apt install python3-ipythonipython3 8.20.0-1
Enhanced interactive Python 3 shell
https://github.com/ipython/ipython
sudo apt install ipython3python-ipython-doc 8.20.0-1
Enhanced interactive Python shell (documentation)
https://github.com/ipython/ipython
sudo apt install python-ipython-docpython3-ipython 8.20.0-1
Enhanced interactive Python shell (Python 3 version)
https://github.com/ipython/ipython
sudo apt install python3-ipythonipython 9.14.1-r0
A rich toolkit to help you make the most of using Python interactively
sudo apk add ipythonipython-doc 9.14.1-r0
A rich toolkit to help you make the most of using Python interactively (documentation)
sudo apk add ipython-docipython-pyc 9.14.1-r0
Precompiled Python bytecode for ipython
sudo apk add ipython-pycpython3-ipython 9.13.0-3.fc45
An enhanced interactive Python shell
sudo dnf install python3-ipythonpython3-ipython+test 9.13.0-3.fc45
Metapackage for python3-ipython: test extras
sudo dnf install python3-ipython+testpython3-ipython-sphinx 9.13.0-3.fc45
Sphinx directive to support embedded IPython code
sudo dnf install python3-ipython-sphinxipython 9.12.0-1
Enhanced Interactive Python shell
sudo pacman -S ipythonpython311-ipython 9.10.0-1.3
Rich architecture for interactive computing with Python
https://github.com/ipython/ipython
sudo zypper install python311-ipythonpython313-ipython 9.10.0-1.3
Rich architecture for interactive computing with Python
https://github.com/ipython/ipython
sudo zypper install python313-ipythonpython314-ipython 9.10.0-1.3
Rich architecture for interactive computing with Python
https://github.com/ipython/ipython
sudo zypper install python314-ipythonpiste source
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View the package source record on GitHub.