Particle paths can be extracted from temporal datasets. The results can be displayed as points, lines, tubes, ribbons, etc., and can be processed by a multitude of filters. Streamlines can be generated using constant step or adaptive integrators.

A sub-region of a dataset can be extracted by cutting or clipping with an arbitrary plane (all data types), specifying a threshold criteria to exclude cells (all data types) and/or specifying a VOI (volume of interest - structured data types only).When possible, structured data contours/isosurfaces are extracted with fast and efficient algorithms which make use of the efficient data layout. The results can be colored by any other variable or processed further. Contours and isosurfaces can be extracted from all data types using scalars or vector components.The glyphs can be scaled by scalars, vector component or vector magnitude and can be oriented using a vector field. Vectors fields can be inspected by applying glyphs (arrows, cones, lines, spheres, and various 2D glyphs) to the points in a dataset.For example, the user can extract a cut surface, reduce the number of points on this surface by masking and apply glyphs (i.e. This allows the user to either further process the result of every operation or the results as a data file. All processing operations (filters) produce datasets.Handles structured (uniform rectilinear, non-uniform rectilinear, and curvilinear grids), unstructured, polygonal, image, multi-block and AMR data types.Version 5.0 was released in January 2016, this version included a new rendering back-end. In June 2013, ParaView 4.0 was released, this version was based on VTK 6.0. In September 2005, Kitware, Sandia National Labs and CSimSoft (now Coreform LLC) started the development of ParaView 3.0. PVEE significantly contributed to the development of ParaView's client/server architecture. This project was funded by Phase I and II SBIRs from the US Army Research Laboratory and eventually became the ParaView Enterprise Edition. Independent of ParaView, Kitware developed a web-based visualization system in December 2001. The first public release was announced in October 2002. and Los Alamos National Laboratory through funding provided by the US Department of Energy ASCI Views program. The ParaView project started in 2000 as a collaborative effort between Kitware, Inc. Develop an extensible architecture based on open standards.Create an open, flexible, and intuitive user interface.Support distributed computation models to process large data sets.Develop an open-source, multi-platform visualization application.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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