skillfed

ipython

IPython: Productive Interactive Computing

ipython Permissive license BSD-3-Clause Active 16,775 v9.16.1 released

Install

ipython on PyPI

pip

pip install ipython

uv

uv add ipython

poetry

poetry add ipython

Package facts

License BSD-3-Clause (permissive)
Python support supports the current Python release (>=3.11)
Install friction low — pure-Python wheel
Runtime dependencies 11 — colorama, ipython-pygments-lexers, jedi, matplotlib-inline, pexpect, prompt_toolkit, psutil, pygments, stack_data, traitlets, typing_extensions
Maintenance actively maintained — 10 days since the last release
Last repo commit
First released
Popularity one of the top 1,000 most-downloaded packages on PyPI (30-day window, as of 2026-08-13)
Known vulnerabilities none known (OSV.dev, checked 2026-08-13)

Evidence: ipython-9.16.1-py3-none-any.whl

Keywords: Interactive, Interpreter, Shell, Embedding

Framework :: IPythonFramework :: JupyterIntended Audience :: DevelopersIntended Audience :: Science/ResearchProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyTopic :: System :: Shells

About ipython

from the package's own PyPI description — quoted content, verbatim

IPython provides a rich toolkit to help you make the most out of using Python interactively. Its main components are:

  • A powerful interactive Python shell
  • A Jupyter <https://jupyter.org/>_ kernel to work with Python code in Jupyter notebooks and other interactive frontends.

The enhanced interactive Python shells have the following main features:

  • Comprehensive object introspection.

  • Input history, persistent across sessions.

  • Caching of output results during a session with automatically generated references.

  • Extensible tab completion, with support by default for completion of python variables and keywords, filenames and function keywords.

  • Extensible system of 'magic' commands for controlling the environment and performing many tasks related either to IPython or the operating system.

  • A rich configuration system with easy switching between different setups (simpler than changing $PYTHONSTARTUP environment variables every time).

  • Session logging and reloading.

  • Extensible syntax processing for special purpose situations.

  • Access to the system shell with user-extensible alias system.

  • Easily embeddable in other Python...

Read as markdown · JSON record · Source repository · Homepage · Docs

AI interpretation — verify before relying

AI-generated interpretation of the package facts above; every digit, version, license, or vulnerability id it cites is grounded in the facts already shown on this page

IPython is an enhanced interactive Python shell and Jupyter kernel that provides object introspection, persistent input history, tab completion, magic commands, and integrated debugging for interactive computing.

Low friction: pure Python wheel, 11 runtime dependencies all available on PyPI, and actively maintained with a commit as recent as 2026-08-07.

BSD-3-Clause is permissive; you may use, modify, and distribute this package with minimal legal friction, provided you retain the license notice.

Usage

pip install ipython==9.16.1

from IPython.terminal.interactiveshell import TerminalInteractiveShell
shell = TerminalInteractiveShell.instance()
shell.mainloop()

Requires Python >=3.11; pexpect (a runtime dependency) requires Unix-like system for full functionality on non-Windows platforms.

Verdict: IPython 9.16.1 is a mature, actively maintained interactive Python environment with no known vulnerabilities, low install friction, and permissive licensing. It is well-suited for interactive development, Jupyter integration, and embedding in other applications.

Needs verification

  • Whether the 11 runtime dependencies introduce any transitive security concerns beyond the direct OSV query.
  • Performance characteristics when used with large datasets or long-running sessions.
interactive python shelljupyter kernel pythonenhanced replpython debugger integrationtab completion shellmagic commands pythonjupyter notebook kernel

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