Project JupyterNumFOCUS Sponsored Project since 2014
Project Jupyter develops tools for interactive computing, research and education with an emphasis in data science workflows. Its flagship application is the widely used Jupyter Notebook, a web application that allows users to craft live narratives combining text, code and multimedia output. These documents support exploratory computing in a wide array of programming languages and can be shared to support collaborative and reproducible work.
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Business & Industry Applications
Higher Education Research & Teaching
Other: Between 50 and 100 other languages
High Performance Computing
August 21-24, 2018
New York, NY
Project Jupyter is a collection of open-source projects for interactive and collaborative computing. The project, which began with iPython, now supports over 50 programming languages. Jupyter Notebook, its flagship application, leverages the browser to create and share live code, visualizations, markdown text, and LaTeX equations. Many of our libraries extend the notebook application to other areas of interactive computing and scientific communication. nbconvert converts notebooks into other formats such as Reveal JS slides, PDF documents, and HTML files. ipywidgets allows users to create HTML widgets within the Notebook. JupyterHub allows the Notebook to be spawned, proxied, and managed in a multi-user environment. BinderHub shares notebooks over a public IP address with JupyterHub and Docker. nbgrader provides educators with tools to evaluate students’ code within the notebook. Our latest project, JupyterLab, allows users to interact with notebooks, kernels, software files, and data in an IDE. Project Jupyter also continues to develop IPython, a rich Python shell that can be accessed through all the Jupyter tools.
Project Jupyter (including IPython) is transforming interactive development and data exploration across multiple industries. It is used in educational materials at Software and Data Carpentries and is used in courses at many universities including: Bryn Mawr College, Cal Poly, Clemson University, George Washington University, Michigan State University, New York University, Northwestern University, UC Berkeley, and University of Sheffield. GitHub has made a built-in support for rendering notebooks; news organizations are writing data-driven news articles for the traditional consumer market and sharing their code and data from those articles as notebooks; and traditional published books have been written using notebooks or ship the code that accompanies the books as notebooks, such as at O’Reilly Media. Google is using it in their cloud data lab. It is used in Anaconda Enterprise and Conda. Brookhaven National Laboratory uses Jupyter in analysis of data from scientific instruments (light sources). Netflix uses Jupyter internally. NASA uses it for data analysis and internally uses nbviewer for collaboration. IBM uses it in their Data Science experience. Quantopian has hosted notebooks for financial modeling. Lawrence Berkeley National Laboratory uses Jupyter in multiple scientific projects, including KBase and a Materials Project. It is also in use at the NBA, Bloomberg, and Microsoft.