ParaView: Difference between revisions

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The next major version of ParaView (III) includes many significant improvements, including:
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 developing an open-source, multi-platform visualization application that support distributed computational models to process large data sets. It has an open, flexible, and intuitive user interface. Furthermore, ParaView is built on an extensible architecture based on open standards. ParaView runs on distributed and shared memory parallel as well as single processor systems and has been succesfully tested on Windows, Linux, Mac OS X, IBM Blue Gene, Cray XT3 and various Unix workstations and clusters. Under the hood, ParaView uses the Visualization Toolkit as the data processing and rendering engine and has a user interface written using the Qt cross-platform application framework.  
 
* New Qt interface
* Much better support for Python scripting
* Emphasis on quantitative analysis
 
ParaView III is developed by a team including Kitware, Sandia National Labs and Elemental Technologies.  
 
'''''Win32 Users:''''' If you wish to build ParaView III from source using the GPL'd version of Qt and Visual Studio, see [[Obtaining GPL'ed Qt for Windows]].
 
'''''Linux/Unix/OS X Users:''''' If you are building from source, you might want to include the FFMPEG encoder. For this, you need to build the encoder from source. Download it here [http://vtk.org/get-software.php#addons here]. Build instructions are included with the package.
 
If you have questions about licensing, see [[ParaView III and Qt licensing]].


== Documentation ==
== Documentation ==

Revision as of 14:28, 15 September 2008

Pvsplash1.png

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 developing an open-source, multi-platform visualization application that support distributed computational models to process large data sets. It has an open, flexible, and intuitive user interface. Furthermore, ParaView is built on an extensible architecture based on open standards. ParaView runs on distributed and shared memory parallel as well as single processor systems and has been succesfully tested on Windows, Linux, Mac OS X, IBM Blue Gene, Cray XT3 and various Unix workstations and clusters. Under the hood, ParaView uses the Visualization Toolkit as the data processing and rendering engine and has a user interface written using the Qt cross-platform application framework.

Documentation

Compile/Install

Instructions for downloading source as well as pre-compiled binaries for common platforms.
Compiling and installing ParaView from source.

Server Setup

Configuring your cluster to act as a ParaView server.
Using the ParaView client to start the servers.
Customizing server startup and connection processes using XML-based configuration scripts.

Python Scripting

Scripting ParaView using python
Generating/Processing data using python.

Animation

Using Animation View to setup animations

GUI Features

Synchronizing filters, clip planes, camera etc.
Loading restarted data for different file formats.
Packaging pipelines into a single composite.
Selecting and focusing on subset of a dataset.
Exporting scenes as VRML, X3D etc.

Plugins

Using and writing new plugins to extend ParaView's functionality.
Including extensions into ParaView at compile time.

Design & Implementation

ParaView GUI Testing framework
Providing details about blocks, hierarchies, assemblies etc. to the client
Details for handling multiple views in client-server framework
Dealing with composite datasets in ParaView
Understanding ParaView's views and representations

Miscellaneous

Tutorials

Documentation specific to ParaView 2.X

Administrative Topics



ParaView: [Welcome | Site Map]