The newest version of XmdvTool, a software package for visual exploration of multivariate datasets, is now available at http://davis.wpi.edu/xmdv. XmdvTool has been in the public domain since 1994, and has been under continuous development since then. It supports many popular methods for multivariate data visualization, including parallel coordinates, scatterplot matrices, star glyphs, dimensional stacking, and pixel oriented techniques, as well as a powerful set of interaction tools. New features in version 8 include: (1)A new software architecture: The new system is based on the information visualization reference model (or visualization pipeline) developed by Ed Chi. For more details on our extensions to this pipeline, please see our paper in VDA10 (available on our website). (2)New development environment: We have ported XmdvTool to Eclipse using Qt for the UI to enhance portability. Source code is freely available for developers. (3)Multiple views: User can open multiple datasets at once, and observe each dataset in multiple sub windows with different visualizations. These windows can be tiled and cascaded. (4)Color strategy: With a new color strategy dialog, users can assign colors to datapoints based on data values or different orderings. We support sequential, diverging, and qualitative color maps based on Cynthia Brewer's work (http://colorbrewer2.org). (5)CSV files support: We enable users to open comma-separated values (CSV) files directly in XmdvTool, in addition to the XmdvTool native file format (.okc). The website contains links to the source code and executables, as well as documentation, translation tools, datasets, and case studies. The XmdvTool Project is supported by the National Science Foundation under grants IIS-9732897, IRIS 97-29878, IIS-0119276, IIS-0414380, IIS-0812027, and CCF-0811510. Questions can be directed to xmdv@cs.wpi.edu. Matt Ward Computer Science Department Worcester Polytechnic Institute