ParaView is a scalable, open-source multi-platform data analysis and visualization application. The application runs on a wide variety of platforms, ranging from a single-processor desktop machine to multi-processor shared-memory supercomputers or clusters of computers. 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. When run in a parallel environment, ParaView can process very large data in a wide variety of data formats (structured and unstructured, time varying and static). ParaView provides a comprehensive suite of visualization algorithms and supports many different file formats for both loading and exporting datasets, for example;

This application is extensible, so new algorithms can be easily added. 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. It has a client-server architecture to facilitate remote visualization of datasets, and generates level of detail (LOD) models to maintain interactive framerates for large datasets. Parts of ParaView are under various licenses (ParaView license, VTK license, Los Alamos license and so on), for details click here.