PPPeople PPPowered is an experiment in finding out if making Open Calais concepts, crawled from the web sites of the universities of York, Leeds and Sheffield navigable might aid the discovery of researchers with similar interests working in different departments in different universities.
It is made using Django-Calais, HarvestMan, Arbor.js ( a jQuery-based visualisation tool) 
 
 

Jesse Legg, OpenCalais developer and Quotd staffer, developed this application that is used in Quotd's automated quotation extraction. The project's goal is to help manage the complexity involved in retrieving, storing and processing Calais results for Django models. 

This entertaining website uses OpenCalais to extract timely quotations from current newsmakers. You can search for quotations by or about an individual, and see who agrees or disagrees with opinion-makers in the news.

The Washington Times has an automated tagging application, based on Django-Tagging and utilizing OpenCalais for data retrieval. Check it out here.

This Python module is a wrapper around the OpenCalais API. It makes REST calls to the OpenCalais API via HTTP POST, then parses and simplifies the JSON responses returned by OpenCalais. You can then access the response data in a much more pythonic manner.

Tested with Python 2.5.