Oakland, CA, November 1, 2002—Tom Sawyer Software, the leader in high-performance graph analysis and visualization technology, today released new software that helps perform structural analysis of graphs. The Graph Analysis Toolkit's sophisticated component technology simplifies and automates the analysis of the complex systems found in a wide range of applications, including those used in the fields of bioinformatics, network analysis, financial transaction analysis, criminology, fraud, risk management, logistics, and software engineering.
The Graph Analysis Toolkit for C++, Version 5.1, offers the following comprehensive features:
Brendan Madden, Chief Executive Officer of Tom Sawyer Software, said, "We are pleased to make the Graph Analysis Toolkit available to C++ developers. The Graph Analysis Toolkit helps our customers integrate algorithmic analysis within their applications and perform highly sophisticated analytic queries on relational information models. The Graph Analysis Toolkit is compatible with our Graph Editor Toolkit for MFC visualization technology, which offers our customers the powerful combination of algorithmic and visual analysis. The combined algorithmic and visual queries enable a new class of applications and help our customers with efficient decision making."
The Graph Analysis Toolkit is also available for Java developers in 100% Pure Java.
Tom Sawyer Software is the leading provider of software and services that enable organizations to build highly scalable and flexible graph and data visualization and analysis applications. These applications are used to discover hidden patterns, complex relationships, and key trends in large and diverse datasets. Tom Sawyer Software serves clients with needs in link analysis; network topology; architectures and models; schematics and maps; and dependencies, flows, and processes. We help clients federate and integrate their data from multiple sources and build the graph and data visualization applications that are critical to analyzing and gaining insight into their data.View All Press Releases