Pangeo, an NSF-funded project from the EarthCube program, defines itself as “first and foremost a community of people working collaboratively to develop software and infrastructure to enable Big Data geoscience research.” The Pangeo team identified the following problems limiting progress in modern geoscience and climate research: fluid access to large-scale datasets, lack of technological sophistication in the tools available to scientists, and reproducibility. Originally led by Ryan Abernathey and Joe Hamman, the Pangeo team identified that open-source tools already met these challenges fairly well, though with a “last-mile problem” of configuration, deployment, and documentation for the specific needs of the Earth and climate science community. 
Pangeo adopted JupyterHub, configured with Xarray for access to numerical datasets, and Dask for distributed computing, as the backbone of their platform. The open, vendor-agnostic nature of the Jupyter tools made it possible for Pangeo to be deployed in the cloud or on HPC hardware, thus bridging the traditional practices of scientific computing with today's cloud-hosted tools and datasets. They have deployed custom tools like a Dask plugin that provides real-time feedback of distributed processing in JupyterLab, and specialized Binders with Dask support that help this CoP meet the challenge of reproducibility in large-scale workflows.
Pangeo's adoption of Jupyter has enabled it to grow and develop in a number of directions where Jupyter plays a key role: