Terminology reference#

Project Jupyter #: A community-supported project that builds a variety of tools for interactive computing - from user interfaces, to document formats, to cloud infrastructure. Project Jupyter is one of the most-impactful open source projects in data science in the last ten years, and was awarded the ACM Software System award for its impact.
JupyterHub#: JupyterHub is an open-source project for providing and managing interactive computing sessions to multiple users, usually deployed on shared infrastructure.
JupyterHub for Kubernetes#: JupyterHub for Kubernetes is a distribution of JupyterHub designed for use with the scalable Kubernetes platform. Kubernetes is cloud- and infrastructure-agnostic, and is flexible enough to scale to large numbers of users and complex computational needs.
Jupyter Interfaces#
Jupyter Notebooks and JupyterLab#: Jupyter Notebooks / Lab are open-source user interfaces for doing interactive data analysis. Notebooks provide an opinionated, linear, document-like workflow, while Lab provides a more flexible and composable interface.
Right to Replicate#: The Right to Replicate is a guiding principle of 2i2c Hub infrastructure. It gives communities the right to replicate their infrastructure in its entirety elsewhere, with or without 2i2c. It entails running infrastructure that is open-source and vendor-agnostic, and in an open and transparent manner. See the Right to Replicate document for more details.
Hub Community#: The community of practice that a Managed JupyterHub serves. This includes leadership of the community as well as users of the hub. The Hub Community is usually organized around a particular use-case or dataset, and may or may not be affiliated with the same organization.