The Jupyter Book project has content in a bunch of different repositories — user docs, a blog, a team compass, and project & community pages. We recently finished an initiative to serve each set of content at jupyterbook.org, while keeping the source files separated in their repositories.
We are thrilled to announce the results of our first round of Jupyter Community Funding proposals. This is the first funding call from the Jupyter Foundation to directly solicit proposals from the Jupyter community.
The Jupyter Executive Council and Jupyter Foundation are pleased to announce a call for proposals for the Jupyter community. Visit the Jupyter Foundation Community Proposals webpage to learn more about the process and how to submit proposals.
The Binder Project allows users to build reproducible, sharable environments for interactive computing. To accomplish this, Binder uses a tool called repo2docker to generate an executable Docker image using the Reproducible Execution Environment Specification.
The Jupyter community is pleased to announce that members of its community have received three awards from the CZI Essential Open Source Software grant series.
Last year we ran the first iteration of the JupyterHub Contributor in Residence role. This post is a short report about what we learned, in the hopes that it guides other projects in pursuing similar programs.
Jupyter Book is an open source project for building beautiful, publication-quality books, websites, and documents from source material that contains computational content.
2019 was a busy year for the Binder and JupyterHub projects — each saw growth in both their community and technology. Now that the year has wrapped up, it is a good time to reflect on some of the highlights from the year.
We are happy to announce that mybinder.org is now backed by two clusters hosted by two different cloud providers: Google Cloud and OVH.
Interactive and reproducible repositories powered by Zenodo and Binder.
The Binder Project’s repo2docker tool gives data scientists the benefits of containerization technology without needing to learn Docker itself. To make your repository compatible with repo2docker, you only need to add text files that are already present in many repositories.
JupyterHub makes it possible to serve Jupyter instances to multiple users. The JupyterHub Helm Chart makes it possible to run this setup on kubernetes, making JupyterHub more scalable, stable, and flexible.
With this post we are proud to announce the next version of Binder. It aims to be more modular, more flexible, more stable, faster, and more extensible than its predecessor.
The JupyterHub team proudly announces the release of a helm chart for deploying JupyterHub on Kubernetes clusters. We’ve designed the JupyterHub helm chart to save you time in creating JupyterHub deployments.
