Oakland, CA, April 29, 2007—Tom Sawyer® Software, a leading provider of high-performance graph visualization, layout, and analysis solutions, today released Tom Sawyer Analysis, Version 8.0, .NET Edition.
Tom Sawyer Analysis enables you to simplify and automate the analysis of the complex systems found in applications that serve the bioinformatics, data management, networking, and intelligence markets, among others.
This new version can be easily installed and configured for use in a web service, on a server, or in a client application, providing seamless integration with your preferred software architecture.
Tom Sawyer Analysis, .NET Edition is a versatile set of .NET classes and APIs that lets you develop graph analysis applications quickly and efficiently. This release lets you integrate algorithmic analysis within your applications and perform highly sophisticated analytic queries on graph model. The software facilitates structured graph traversal, clustering, dependency analysis, network flow analysis, impact analysis, root cause analysis, path analysis, cycle detection, process analysis, and other complex queries.
Tom Sawyer Analysis, Version 8.0, .NET Edition, offers new and enhanced features:
The new release of Tom Sawyer Analysis brings significant improvements in performance to each of the analysis algorithms, helping our customers in intelligence, life sciences, and networking obtain more scalable application implementations.
New tutorials show you how to use the product more efficiently.
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