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Jupyter’s purpose is to enable interactive computing with open-source software and open standards across multiple programming languages.
Project Jupyter is an open-source project that develops software, open standards, and services for interactive computing across multiple programming languages. It was spun off from IPython in 2014 and is financially sponsored by the Jupyter Foundation. The name “Jupyter” reflects the three core languages it supports—Julia, Python, and R—and the project’s branding references Galileo’s discovery of Jupiter’s moons. Jupyter’s scope includes language-agnostic interactive computing through notebook-based workflows and related tools. It supports many execution environments (“kernels”) for dozens of languages (including Julia, R, Haskell, Ruby, and Python via the IPython kernel). Major cloud providers and development environments have adopted Jupyter Notebook or derivatives as a frontend interface, and the ecosystem includes tools such as JupyterLab (a more feature-rich interface), JupyterHub (multi-user server support), and Jupyter AI (generative AI features inside notebooks).
Jupyter’s purpose is to enable interactive computing with open-source software and open standards across multiple programming languages.
Its scope covers notebook-based workflows, multiple language kernels, and a broader ecosystem of tools like JupyterLab, JupyterHub, and Jupyter AI.
An open-source project that provides software, open standards, and services for interactive computing across multiple programming languages.
An execution environment in Jupyter that runs code for a specific programming language.
A web-based interactive environment for creating notebook documents composed of ordered input/output cells.
A newer, more flexible user interface for Project Jupyter with additional features beyond the classic notebook UI.
A multi-user server that manages and proxies many Jupyter Notebook servers for concurrent users.
A Jupyter extension that integrates generative AI capabilities into notebooks for tasks such as explaining code, fixing errors, and generating content from prompts.
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