Open Source

2i2c is pleased to announce the frx-challenges project, a new open source tool to help communities host data challenges on shared infrastructure: 2i2c-org/frx-challenges This project aims to make it easier for administrators to provide a service that enables users to submit code and data that are evaluated on secure infrastructure with access to private data and resources.

On most research oriented JupyterHub installations, users would like to customize their server (the environment, resources available, etc) after logging in. In Kubernetes based JupyterHub environments, a profile list provides this functionality.

Cross-posted from the Jupyter Book blog. Note that some MyST functionality is not supported on the 2i2c website – please see the original post for previews. Over the last ten months, the Jupyter Book team have been hard at work; Jupyter Book has become a Jupyter subproject, and the team1 announced a plan to release Jupyter Book 2.

The DeepLabCut Team # Animal pose estimation using deep neural networks. Courtesy of the DeepLabCut Jupyter Book The DeepLabCut team is a group of researchers and developers who are working on open source tools for analyzing animal pose estimation by training deep neural networks on videos.

Thank you to Sajjad Anwar and Sanjay Bhangar for contributing to this post. The VEDA dashboard The 2i2c team are proud to continue our strong working collaboration with Development Seed, following our previous work on launching the US GHG center (also see the Development Seed blog post).

The HHMI Spyglass tutorial Spyglass # Spyglass is a framework for reproducible and shareable neuroscience research produced by Loren Frank’s lab at the University of California, San Francisco. Check out our blog post about the release of their preprint to read more about the methods.

Photo courtesy of Dr Debanjana Das What is Project Pythia? # Project Pythia is the education working group for Pangeo, a community platform for Big Data geoscience in which 2i2c operates a cloud hub.

See the Executable Books blog for a post on the future directions of the Jupyter Book project, which will be built on top of the MyST Markdown engine.

What happened? # A few weeks ago, the JupyterHub team discovered a security vulnerability in the jupyter-server-proxy package that would allow potential unauthenticated access to a JupyterHub via WebSockets, allowing unauthenticated users to run arbitrary code on the JupyterHub.