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ParaView is an open-source, multiplatform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques. The data exploration can be done interactively in 3D or programmatically using ParaView's batch processing capabilities.

ParaView was developed to analyze extremely large datasets using distributed memory computing resources. It can be run on supercomputers to analyze datasets of terascale as well as on laptops for smaller data.

ParaView at LLNL includes the MOAB reader from Argonne National Laboratory.

(quoted from the ParaView website)


Machines and Versions

See LC graphics software page.




Use dotkit: use paraviewsets up your PATH and MANPATH to run the latest version of ParaView. You can also put use -q paraview in your .cshrc or .bashrc file. The default is to use the OpenGL version, which does not run in parallel on the LC machines. If you wish to run in parallel, please see these instructions.


Basic Usage:

To run in parallel, please see these instructions (a pdf version is here). To start up the basic, serial version of ParaView, type use paraview, (see Environment above) then type paraview. The paraview module points to the paraview-opengl package. There are also three other packages available: paraview-osmesa-mpi, the version to use for parallelism; paraview-osmesa, a serial version using sofware rendering; and mpiparaview-opengl-mpi, for distributed hardware-enabled rendering.


ParaView documentation can be accessed from within ParaView by choosing "Help" from the ParaView Help menu or typing F1 while ParaView has keyboard focus in your window manager. Help can also be found from the ParaView website.

Sandia National Laboratory has provided an excellent and wide-ranging set of tutorials on the ParaView Wiki.

Basic usage help, technical support and troubleshooting is available from the


You can install ParaView on your local workstation; there is no license restriction. Downloads are available at for Windows, Linux and Macintosh, as well as for building from source code.