Sometimes, the existing visualization tools just aren't doing it for you and your data set. You need something tailored to your needs, but you don't have the time or resources to make a visualization tool from scratch.
The Pacific Northwest National Laboratory's Scalable Reasoning System may be the answer to your problem. SRS is a framework for developing web-based applications that can analyze and visualize virtually any data set or stream.
There is a growing library of visual and analytic components for SRS that allow you to do a variety of tasks, including analyzing unstructured text, real time analysis of trends and patterns in streaming data, exploring hierarchical taxonomies, and organizing and providing visual search of large repositories. And if none of the components meet your needs, SRS has an extensible and adaptable back-end, just waiting for more components to be made!
SRS has been used for many applications, but this week's visual profiles an application created using SRS to visualize data for Seattle's city government.
For more information about SRS, visit the PNNL Information Signatures webpage.