datalab-ltiauthenticator 4.0.1

JupyterHub authenticator implementing LTI v1.1 and LTI v1.3

LTI dataLAB Authenticator

This package contains LTI authenticators for JupyterHub with some custom config for username_key.

Implements the LTI 1.3 and the LTI v1.1 authenticators for use with JupyterHub.

This converts JupyterHub into an LTI Tool Provider, which can be then easily be used with various Tool Consumers, such as Canvas, Open EdX, Moodle, Blackboard, etc.

So far, ltiauthenticator has been tested with Open edX, Canvas, and Moodle. Documentation contributions are highly welcome!

Note that with these LTI authenticators going directly to the hub URL will no longer allow you to log in. You must visit the hub through an appropriate LTI 1.1 compliant Tool Consumer or LTI 1.3 compliant Platform (such as Canvas, Moodle, Open edX, etc.) to be able to log in.

Note: LTI 1.1 identifies the LMS as the Tool Consumer and LTI 1.3 identifies the LMS as the Platform for all practical purposes these terms are equivalent.

Installation

You can install the authenticator from PyPI:

pip install datalab-ltiauthenticator

Using the LTI Authenticators

For detailed instructions on how to configure the LTI13Authenticator or LTI11Authenticator and integrate it with an LMS, such as Canvas, Open EdX, Moodle, Blackboard, etc., please take a look at the documentation.