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| * [[Color Palettes]] <font color="green">*new in 3.6</font> | | * [[Color Palettes]] <font color="green">* new in 3.6</font> |
| : Creating visualizations for Print and Screen. | | : Creating visualizations for Print and Screen. |
| * [[Camera and Property Linking]] | | * [[Camera and Property Linking]] |
Revision as of 13:29, 8 May 2009
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.
The goal of this Wiki is to provide up-to-date documentation maintained by the developer and user communities. As such, we welcome volunteers that would like to contribute. If you are interested in contributing, please contact us on the ParaView mailing list http://public.kitware.com/mailman/listinfo/paraview.
You can find more information about ParaView on the ParaView web site: http://paraview.org. For more help, check out http://paraview.org/New/help.html.
ParaView In Use
- Some examples of how ParaView is used
- Screenshots generated by ParaView
Documentation
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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.
Generating Data
- How to write out data in a format that Paraview understands
Python Scripting
- Scripting ParaView using python
- Generating/Processing data using python.
Animation
- Animating file series.
- Saving animations on the server without client connection.
- Using Animation View to setup animations.
Plugins
- Using and writing new plugins to extend ParaView's functionality.
- Including extensions into ParaView at compile time.
- A simple wizard application developed by MIRARCO that provides boilerplate code for some of the most common plugin types.
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Other Features
- Creating visualizations for Print and Screen.
- 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.
- Backwards compatibility for ParaView state files (*.pvsm).
- The locations where ParaView saves settings.
Books and Tutorials
- The official ParaView guide available from Kitware.
- Beginning and advanced tutorial sets, each presented as 2 hour classes by Sandia National Laboratories
- Material and notes from the Supercomputing '08 tutorial by Sandia and Kitware.
- Slides for the advanced topics tutorial by Sandia, Kitware, and CSCS.
- Material and notes from the Supercomputing '08 tutorial by Sandia.
- This Wiki is full of useful information and tutorials about ParaView.
- ParaView related books, articles and papers
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Design & Implementation
- ParaView GUI Testing framework.
- Providing details about blocks, hierarchies, assemblies etc. to the client.
- Details on handling multiple views in client-server framework.
- Dealing with composite datasets in VTK.
- Understanding ParaView's views and representations.
- Understanding Time implementation.
- Compiling ParaView and VTK on BlueGene and Cray Xt3/Catamount.
Miscellaneous
- Quarterly newsletter for developers designed to deliver detailed technical articles related to Kitware's open source products including ParaView.
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