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Project Jupyter Gets $6M to Expand Collaborative Data-Science Software

By UC Berkeley

July 10, 2015

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An open source platform known as Project Jupyter will receive $6 million in grants over three years to strengthen the tool's capabilities for collaborative data science. The Alfred P. Sloan Foundation and the Gordon and Betty Moore Foundation are each providing $1.5 million to the University of California, Berkeley, while the Shelley Charitable Trust is providing $3 million to California Polytechnic University (Cal Poly).

The effort expands upon Jupyter Notebook, a Web-based platform developed by an open collaboration co-led by Fernando Perez at the Berkeley Institute for Data Science and Cal Poly professor Brian Granger. The tool enables scientists, researchers, and educators to combine data from multiple formats, including live code, equations, narrative text, and rich media, into a single, interactive document.

Perez and Granger estimate more than 1 million people in various fields currently use Jupyter. Applications include analyzing gene-sequencing datasets, images from the Hubble Space Telescope, and models of financial markets. Educators can write instructions in the notebook, include a coding exercise after the instructions, and request an interpretation of the results.

From UC Berkeley
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