This section of the documentation contains step-by-step tutorials that help outline the capabilities of JupyterHub and how you can achieve specific aims, such as installing it.

Run JupyterHub without root privileges using sudo describes how to run the server as a less privileged user. This requires additional configuration of the system.

The Technical Overview section gives you a high-level view of: JupyterHub’s major Subsystems: Hub, Proxy, Single-User Notebook Server, how the subsystems interact, the process from …

This section covers how to configure and customize JupyterHub for your needs. It contains information about authentication, networking, security, and other topics that are relevant to …

To use JupyterHub, you need a Unix server (typically Linux) running somewhere that is accessible to your team on the network. The JupyterHub server can be on an internal network at your …

Reference # Reference documentation provide technical descriptions about JupyterHub and how it works. This section is divided into two broad subsections: Technical reference. API reference.

The Littlest JupyterHub installs JupyterHub on a single system using SystemdSpawner and NativeAuthenticator (which manages users itself). JupyterHub the hard way takes you through …

In JupyterHub 5.0, you can specify scopes for a token when requesting it via the /hub/tokens page as a space-separated list. In JupyterHub 3.0 and later, you can also request tokens with …

Deploying JupyterHub in “API only mode” Writing a custom Proxy implementation Using JupyterHub’s REST API Running proxy separately from the hub Working with templates and …

This document describes the specific considerations. For general upgrading tips, see the docs on upgrading jupyterhub. You can see the changelog for more detailed information. Python …