NDVis is an interactive data visualization and analysis tool customized to address large, multidimensional databases. It was initially developed to help neuroscientists analyze a database of ~1.7 million neuron simulations. It combines the methods of dimensional stacking and pixelization to view very large data sets in one image. This approach can also be used to view the parameter space of simulation models to trace and evaluate output. NDVis enables users to manually reorder dimensions to perform a type of projection pursuit. A number of optimization algorithms are in development to support semi-automated projection pursuit as well as interactive, visual data mining. NDVis is currently used in neuroscience classes at Emory University and in ongoing research projects at various institutions. VisiTrend has released a basic, open source version of NDVis at http://ndvis.sourceforge.net/ and continues to develop the tool for an upcoming enterprise version release. Further details on NDVis and the original research it supported are available in our publications.