Oakland, CA, April 21, 2006—Tom Sawyer® Software, a leading provider of high-performance graph visualization, layout, and analysis solutions, today released Tom Sawyer Visualization, Version 7.0, MFC Edition.
The Tom Sawyer Visualization product family delivers sophisticated component technology that manages, reveals, and displays graphical and customized views of relational data, immediately identifying relationships, connections, and emerging patterns within the data. The software displays pathways, models, flows, dependencies, networks, and schematics in a comprehensive visual format.
Tom Sawyer Visualization, MFC Edition is an API library written in C++ and the Microsoft Foundation Classes (MFC), for developing graph visualization applications quickly and efficiently. With this product, you can easily enhance your applications with sophisticated graph display, viewing and editing technologies presented in an eye-catching, intuitive graphical user interface. You can customize both the display and the interactive behaviors of your application using standard Microsoft components such as toolbars, menus, and mouse-event handling.
Tom Sawyer Visualization, Version 7.0, MFC Edition, offers a number of new and enhanced features:
Input and Output
The new release of Tom Sawyer Visualization provides an improved constant speed link navigator that enables users to follow links comfortably. The new version also features improved hit testing sensitivity with large graphs at low zoom levels. This enables users to select and locate specific nodes and edges more easily. Other added benefits include improved schematic diagramming with connectors, which enables users to easily move connectors. Further, a new .gif export facility is provided.
The new release also provides a new patent-pending implementation of circular layout. This new implementation provides greatly improved clustering, circular-shaped clusters, node placement within clusters, and either circular or symmetric backbone placement. The implementation also includes a highly stable form of incremental layout.
Improved clustering reveals the underlying network structure much more effectively than before. The new node placement within clusters guarantees an appealing circular shape for each cluster. Further, nodes are automatically placed within each cluster under certain conditions based on their connectivity to other nodes on the interior and exterior of a cluster. The new interior node placement reduces the radius of many clusters and enables drawings of smaller overall area. As the area of a drawing is reduced, it becomes simpler to view the text within labels and to navigate the drawing.
The new release also provides a new implementation of symmetric layout. The new implementation produces results that are more visually appealing than past implementations, and provides enhanced drawing resolution. Dense areas of the drawing have reduced overlap, and cluster structures that should not be together are separated and placed more distinctly. Further, the new implementation has a highly stable incremental layout capability that enables users to keep their perspective as the drawings change over time.
Importantly as well, the new symmetric layout is approximately twice as fast as the previous implementation, helping our customers in intelligence, life sciences, and networking to obtain more scalable application implementations.
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