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Tom Sawyer Software Announces Successful Eclipse SWT Integration

Tom Sawyer Visualization, Version 6.0, Java Edition, Is Now Available for Eclipse SWT Developers

Oakland, CA, September 22, 2004—Tom Sawyer® Software, a leading provider of high-performance graph visualization, layout, and analysis solutions, today announced that Tom Sawyer Visualization, Version 6.0, Java Edition, the latest of its visualization product line, now supports Eclipse SWT developers.

Tom Sawyer Visualization 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.

Tom Sawyer Visualization enables users to organize relational data and present clear and concise graphical views of data, ultimately enhancing the decision-making process. The software displays pathways, models, flows, dependencies, processes, networks, and schematics.

Tom Sawyer Visualization, Java Edition is a flexible and versatile Java class library with Swing-based GUI support. In Eclipse 3.0, new facilities enable developers to embed Swing-based GUI components in their Eclipse SWT applications. We're pleased to verify that Tom Sawyer Visualization, Java Edition fully supports this feature. The advanced visualization and layout functionality offered by Tom Sawyer Visualization is now immediately available to Eclipse developers for use in their applications.

About Tom Sawyer Software

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.

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