A shared platform for global communities

Our interactive computing hubs provide frictionless access to open infrastructure to connect, create, and share knowledge using data.

Environment selector interface

Resource and user management

JupyterHub provides secure, remote access to the tools and resources needed for community users.
JupyterLab interface.

Interfaces for interactive computing

JupyterHub lets users learn, explore, create, and share with open data and tools.
MyST Markdown interface.

A computational knowledge base

MyST and JupyterBook provide a central repository of knowledge to facilitate learning and sharing with computational narratives.

Each hub integrates open tools and services to enable the lifecycle of knowledge creation

Hubs are a digital home that bootstraps users from learning their first workflows to making discoveries and sharing with others.

The research lifecycle we enable.
Open source tools we use and support in our service.

Manage and monitor resources and users

Community leaders can manage user access to the hub, and provide each user their own workspace that persists over time.

Powered by

Design interactive interfaces for data-driven discovery

JupyterLab provides a flexible user interface to create and explore notebooks, interactive visualizations, and computational narratives.

Powered by and . Example from Neuroglancer-JupyterLab.

Choose a community environment, or create your own

Community leaders can offer many environments for users to fit all of their workflows.

Powered by and . Example from the NASA VEDA project.

Share workflows with a community knowledge base.

Shared knowledge bases allow communities to contribute their ideas and work to a shared space that is accessible to the community.

Powered by and . Example from the CryoCloud JupyterBook.

Serve linux applications via a remote desktop

You can provide users a full linux UI that provides access to GUI applications via the web.

Powered by . Example from the NASA VEDA project.

Supported cloud providers

2i2c aims to support JupyterHubs on any cloud provider that offers a managed Kubernetes service. To start, we are focusing on the major commercial cloud providers listed below. If you would like a hub hosted on a different cloud provider, please give us your feedback . See our Organizational Strategy and Goals to learn more about our plans.
google-cloud
Google Cloud
azure
Microsoft Azure
aws
Amazon Web Services

Learn more about our organization

Learn more about our community network