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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 supported by the Jupyter Foundation. The project’s name reflects its core language support—Julia, Python, and R—and its overall goal is to make interactive, notebook-based computing broadly usable and interoperable. A central purpose of Jupyter is to enable interactive data science and scientific computing through notebook-style workflows that can run code in many languages via execution environments called “kernels.” Jupyter Notebook (and related interfaces like JupyterLab) provides a browser-based environment where documents can contain ordered input/output cells with code, text, plots, and rich media. The notebooks are stored in an interoperable, versioned JSON-based format (typically .ipynb), which supports reuse and compatibility across different implementations and tools.
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Project Jupyter originated as a spin-off from IPython in 2014, announced by Fernando PĂ©rez. The project was created to develop open-source software, standards, and services for interactive computing across multiple programming languages. Its founding members included Fernando PĂ©rez, Brian Granger, Damian Avila, Kyle Kelley, Matthias Bussonnier, Min Ragan-Kelley, and Thomas Kluyver. After the spin-off, IPython continued as a Python shell and kernel, while the notebook application and other language-agnostic components moved under the Jupyter name. The name reflects its initial support for Julia, Python, and R, and Jupyter subsequently expanded to support many additional programming languages through specialized kernels.
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