Jupyter for Science User Facilities and High Performance Computing
Jupyter is the “Google Docs” of data science. It provides that same kind of easy-to-use ecosystem, but for interactive data exploration, modeling, and analysis.
Announcing JupyterHub 1.0
Today, we are pleased to announce the 1.0 release of JupyterHub. We’ve come a long way since our first release in March, 2015. There are loads of new features and improvements covered in the changelog, but we’ll cover a few of the highlights here.
Open Redirect Vulnerability in Jupyter notebook, JupyterHub
Update: notebook 5.7.7 and JupyterHub 0.9.5 contained incomplete fixes for this issue. 5.7.8 and 0.9.6 are released with more complete fixes.
Introducing TraefikProxy — a scalable and highly available proxy for JupyterHub
Removing the single point of failure from your JupyterHub infrastructure with traefik, etcd and Outreachy
Simpler authentication for small scale JupyterHubs with NativeAuthenticator
NativeAuthenticator adds traditional username / password based sign up, login, & user management features to JupyterHub.
Zero to JupyterHub helm chart 0.8
We’ve just released version 0.8 of the jupyterhub helm chart.
Outreachy & Jupyter: Supporting diversity in open communities
Project Jupyter has accepted 2 interns through the Outreachy program, which supports open community members from under-represented backgrounds. Our Outreachy interns will work on important problems in the JupyterHub community with help from 2 mentors from December 2018 through March 2019.
On-demand Notebooks with JupyterHub, Jupyter Enterprise Gateway and Kubernetes
This article describes how to deploy multiple components from the Jupyter Notebook stack to provide an on-demand analytics platform powered by JupyterHub and Jupyter Enterprise Gateway on a Kubernetes cluster.
Deploying JupyterHub with Kubernetes on OpenStack
Jupyter is now widely used for teaching and research. The use of Kubernetes for deploying a JupyterHub has enabled reliable setups scaling to thousands of users.
JupyterHub 0.9
We are pleased to announce the latest release of JupyterHub. JupyterHub is the multi-user server for Jupyter notebooks, allowing students or researchers to have their own workspace. This release has lots of improvements, especially for stability and performance with large numbers of users.
Security fix for JupyterHub GitLab OAuthenticator Group Whitelists
This vulnerability has been assigned CVE-2018-7206
Announcing the JupyterHub Helm Chart v0.5
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.
JupyterHub 0.8
We are pleased to announce the release of JupyterHub 0.8. This is a big release with many fixes and improvements, and some major changes.
Introducing the Helm Chart for JupyterHub Deployment with Kubernetes
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.