JupyterHub

JupyterHub is a multi-user server for Jupyter notebooks. It gives each user their own notebook environment: a browser-based workspace for writing and running code (commonly Python or R), exploring data, and producing figures and reports, all without anyone having to install or manage software locally. It suits classrooms, research groups, and teams that want a shared, ready-to-use analysis environment.

How it fits into Sunet Cloud

• It runs on top of the Kubernetes service, so each user's notebook server is a container that the platform schedules and scales to accommodate many users.
• It can integrate with Sunet Drive, giving users access to their Drive files directly from inside the notebook environment.

In this section

• Getting started: log in and launch your notebook server.
• Server profiles and resources: sizes, persistence, and idle shutdown.
• Sunet Drive integration: reach your Drive files from a notebook.
• Custom environments and packages: install libraries and use your own images.

Note

Exact details such as the hub address, available server sizes, and sign-in method are set when your hub is provisioned. Your administrator or onboarding contact will give you the specifics for your deployment.