Binder 2.0 - Reproducible, interactive, sharable environments for science at scale

Project Jupyter, Matthias Bussonnier(University of California, Berkeley), Jessica Zosa Forde(Berkeley College), Jeremy Freeman(University of California, Berkeley), Brian Granger(Cal Poly Corporation), T. Head(University of California, Berkeley), Chris Holdgraf(Simula Research Laboratory), Kyle P. Kelley(University of California, Berkeley), Gladys Nalvarte(Simula Research Laboratory), Andrew Osheroff(Simula Research Laboratory), M Pacer(University of California, Berkeley), Yuvi Panda(University of California, Berkeley), Fernando Pérez(University of California, Berkeley), Benjamin Ragan-Kelley(Simula Research Laboratory), Carol Willing(Cal Poly Corporation)
Proceedings of the Python in Science Conferences
January 1, 2018
10.25080/majora-4af1f417-011
Cited by 321Open Access
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Abstract

Binder is an open source web service that lets users create sharable, interactive, reproducible environments in the cloud. It is powered by other core projects in the open source ecosystem, including JupyterHub and Kubernetes for managing cloud resources. Binder works with pre-existing workflows in the analytics community, aiming to create interactive versions of repositories that exist on sites like GitHub with minimal extra effort needed. This paper details several of the design decisions and goals that went into the development of the current generation of Binder.

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