![]() The goals of the ParaView team include the following: Under the hood, ParaView uses Visualization Toolkit (VTK) as the data processing and rendering engine and has a user interface written using Qt. It has been successfully tested on Windows, macOS, Linux, IBM Blue Gene, Cray Xt3 and various Unix workstations, clusters and supercomputers. ParaView runs on distributed and shared memory parallel and single processor systems. This flexibility allows ParaView developers to quickly develop applications that have specific functionality for a specific problem domain. The ParaView code base is designed in such a way that all of its components can be reused to quickly develop vertical applications. ParaView is an application framework as well as a turn-key application. It can be run on supercomputers to analyze datasets of terascale as well as on laptops for smaller data. ParaView was developed to analyze extremely large datasets using distributed memory computing resources. The data exploration can be done interactively in 3D or programmatically using ParaView's batch processing capabilities. It can be used to build visualizations to analyze data using qualitative and quantitative techniques. ParaView is known and used in many different communities to analyze and visualize scientific data sets. ![]() ParaView is an open-source, multi-platform data analysis and visualization application. It can also be run as a single-computer application. ParaView is an application designed for data parallelism on shared-memory or distributed-memory multicomputers and clusters. It is an application built on top of the Visualization Toolkit (VTK) libraries. It has a client–server architecture to facilitate remote visualization of datasets, and generates level of detail (LOD) models to maintain interactive frame rates for large datasets. ParaView is an open-source multiple-platform application for interactive, scientific visualization. Scientific visualization, Interactive visualization
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