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ParaView - Version 3.6.2 released

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Thursday, 07 January 2010 18:14

Paraview an open source software for scientific visualizationParaView is an open-source, multi-platform application designed to visualize data sets of size varying from small to very large, structured and unstructured, time varying and static. The goals of the ParaView project include developing an open-source, multi-platform visualization application that support distributed computational models to process large data sets. It has an open, flexible, and intuitive user interface. Furthermore, ParaView is built on an extensible architecture based on open standards. ParaView runs on distributed and shared memory parallel as well as single processor systems. The binaries and sources are available for download from the ParaView website. This release of Paraview includes several new features along with plenty of bug fixes addressing a multitude of usability and stability issues including those affecting parallel volume rendering and has many GUI usability improvements including, but definitely not limited to:

  • The Python interface has been revamped, an exciting new extension to the Paraview Python interface is Python trace;
  • A collection of statistics algorithms. You can compute descriptive statistics (mean, variance, min, max, skewness, kurtosis), compute contingency tables, perform k-means analysis, examine correlations between arrays, and perform principal component analysis on arrays;
  • The VisTrails Provenance Explorer Plug-in. VisTrails is an open-source scientific workflow and provenance management system developed at the University of Utah that provides support for data exploration and visualization;
  • LANL's cosmo plug-in is now distributed with this new version. This plug-in allows ParaView to read and process *.cosmo format files, in which particles are described by mass, velocity and identification tags.
 

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