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ParaView

Data analysis and visualization

Kitware Inc.

org.paraview.ParaView
View on Flathub ↗

ParaView is an open-source, multi-platform 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 exascale size as well as on laptops for smaller data.

Screenshots

This visualization was a finalist in the SC21 Visualization Showcase. Credits: Francesca Samel et al. at Los Alamos National Lab.
This visualization was a finalist in the SC21 Visualization Showcase. Credits: Francesca Samel et al. at Los Alamos National Lab.
Emergence of skin micro-wrinkles. Courtesy of Georges Limbert, University of Southampton, UK and University of Cape Town, South Africa.
Emergence of skin micro-wrinkles. Courtesy of Georges Limbert, University of Southampton, UK and University of Cape Town, South Africa.
ParaView was used in Russell Taylor’s Comp 715: Visualization in the Sciences class at the University of North Carolina at Chapel Hill. Author: Jared Vicory et al.
ParaView was used in Russell Taylor’s Comp 715: Visualization in the Sciences class at the University of North Carolina at Chapel Hill. Author: Jared Vicory et al.
Temporal plane jet DNS simulation
Temporal plane jet DNS simulation
Visualization of MIT General Circulation Model data showing surface temperature, VHEr and bathymetry
Visualization of MIT General Circulation Model data showing surface temperature, VHEr and bathymetry
Cross Wind Fire Simulation (Image courtesy of Sandia National Labs)
Cross Wind Fire Simulation (Image courtesy of Sandia National Labs)

Observed history

App ChangeVersionWhen ↑
updated6.1.016 Sept 2026

Upstream releases

Release notes supplied by the developer. These dates are not Flathub package publication times.

6.1.031 Mar 2026

No release notes supplied.

6.0.129 Sept 2025

No release notes supplied.

5.13.230 Dec 2024

No release notes supplied.

5.13.128 Sept 2024

No release notes supplied.