Project Jupyter

Project Jupyter was born out of the IPython Project in 2014 as it evolved to support interactive data science and scientific computing across all programming languages.

Project Jupyter—a set of open source software tools for interactive and exploratory computing—aims to enable the collaborative creation of reproducible computational narratives that can be used across a wide range of audiences and contexts. These software projects support scientific computing and data science across a wide range of programming languages (Python, Julia, R, etc.) and already provide basic reproducibility and collaboration features, which we plan to build upon. The main application offered by Project Jupyter is the Jupyter Notebook, a web-based interactive computing platform that allows users to author computational narratives that combine live code, equations, narrative text, interactive user interfaces, and other rich media. These documents provide a complete record of a computation that can be converted to a number of formats (HTML, PDF, etc.) and shared with others through email, Dropbox, GitHub, etc. They can also be published online thanks to our Jupyter Notebook Viewer, a free service we operate that allows anyone on the web to view a notebook as a regular web page.

BIDS Affiliates

Leader

Fernando Perez

Statistics
Co-I for Moore/Sloan Data Science Environment

Matthias Bussonnier

Project Jupyter
Postdoctoral Scholar

Ian Rose

Project Jupyter
Postdoctoral Scholar

M Pacer

Project Jupyter
POSTDOCTORAL SCHOLAR