pvpython

Parallel Visualization Application

Install

All systems
curl cmd.cat/pvpython.sh
Debian Debian
apt-get install paraview-python
Ubuntu
apt-get install paraview-python
Arch Arch Linux
pacman -S paraview
image/svg+xml Kali Linux
apt-get install paraview-python
Fedora
dnf install paraview-openmpi
Windows (WSL2)
sudo apt-get update sudo apt-get install paraview-python
Raspbian
apt-get install paraview-python

paraview

Parallel Visualization Application

ParaView is an open-source, multi-platform application designed to visualize data sets of size varying from small to very large. The goals of the ParaView project include the following: * Develop an open-source, multi-platform visualization application. * Support distributed computation models to process large data sets. * Create an open, flexible, and intuitive user interface. * Develop an extensible architecture based on open standards. ParaView runs on distributed and shared memory parallel as well as single processor systems and has been successfully tested on Windows, Mac OS X, Linux and various Unix workstations, clusters and supercomputers. Under the hood, ParaView uses the Visualization Toolkit as the data processing and rendering engine and has a user interface written using Qt.

paraview-mpich

Parallel visualization application

paraview-openmpi

Parallel visualization application

paraview-python

Parallel Visualization Application. python-support

ParaView is an open-source, multi-platform application designed to visualize data sets of size varying from small to very large. The goals of the ParaView project include the following: * Develop an open-source, multi-platform visualization application. * Support distributed computation models to process large data sets. * Create an open, flexible, and intuitive user interface. * Develop an extensible architecture based on open standards. ParaView runs on distributed and shared memory parallel as well as single processor systems and has been successfully tested on Windows, Mac OS X, Linux and various Unix workstations, clusters and supercomputers. Under the hood, ParaView uses the Visualization Toolkit as the data processing and rendering engine and has a user interface written using Qt. Enables python support.