ParaView is an open-source, multi-platform application designed to visualize data sets of varying sizes from small to very large. The goals of the ParaView project include developing an open-source, multi-platform visualization application that supports 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 ParaView Users Guide is online here: The ParaView Users Guide
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.
For new users, download and install the ParaView binaries for your local computer, and then read The ParaView Tutorial. Additional tutorials are located under #Books and Tutorials below.
You can find more information about ParaView on the ParaView web site: http://paraview.org. For more help, including a list of all sources and filters, check out http://paraview.org/paraview/help/help.html and http://paraview.org/paraview/help/documentation.html.
ParaView In Use
- Some examples of how ParaView is used
- Screenshots generated by ParaView
- Links to documentation of ParaView installations on various HPC sites
Documentation
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Compile/Install
- Instructions for downloading source as well as pre-compiled binaries for common platforms.
- Collection of release notes for official ParaView releases.
- Git is the revision control system that ParaView uses. If you would like to have the bleeding edge version of ParaView, or you would like to contribute code, this link describes the method you must use to get the code.
- Downloading nightly binaries for development versions of ParaView.
- Compiling and installing ParaView from source.
- Building ParaView with Mesa 3D.
- Information about the official ParaView builds and versions of various dependencies used.
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.
- Strategies for distributing server configuration xmls.
- To run ParaView on clusters with head nodes - compute nodes
- Configure your cluster environment such as DISPLAY, or Cave settings using *.pvx xml files.
- A guide for configuring a cluster to run ParaView
Importing Data
- How to write out data in a format that Paraview understands
- More information on data formats ParaView supports and how to load them.
- How to write a VTK reader that will read your data directly into ParaView.
Finding Data
- Selecting and focusing on subset of a dataset using queries.
- Selecting and focusing on subset of a dataset.
Analyzing Data
- Creating visualizations to compare effects for change in parameter(s).
- Computing statistics and using them to assess datasets.
Animation
- Animating file series.
- Saving animations on the server without client connection.
- Using Animation View to setup animations.
- Creating animations involving camera movements.
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.
- Please post plugins that you have created that may be useful for other users.
- Writing custom applications based on ParaView.
- Building plugins for deployment with Released ParaView binaries.
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Python Scripting
- Environment variables to set when using Python shell besides pvpython/pvbatch or Python shell in ParaView GUI.
- Scripting ParaView using python
- Generating/Processing data using python.
- Using the python shell interface in paraview including generating python trace.
- Collection of python scripts for some common tasks.
- Beginning and advanced tutorial sets, each presented as 2 hour classes by Sandia National Laboratories
GUI Features
- Creating visualizations for Print and Screen.
- Details of ParaView's xml colormap file format and collections of colormaps for use with ParaView.
- Synchronizing filters, clip planes, camera etc.
- The locations where ParaView saves settings.
- Packaging pipelines into a single composite.
- How to configure ParaView's image compressor for use during remote rendering.
- What can be done with the spreadsheet column sorting and how it works
- Using ParaView with Space Navigator
- Searching in long lists and tables in the ParaView GUI.
- Using ParaView Copy/Paste inside information tab and spreadsheet view
- Using ParaView's Memory Inspector Panel and its debugging features. * updated in 3.98.0
Other Features
- Loading restarted data for different file formats.
- Exporting scenes as VRML, X3D etc.
- Backwards compatibility for ParaView state files (*.pvsm).
- Information on using ParaView for in situ visualization/coprocessing (still in beta).
- Information of the changes that have been done undercover to support and improve collaboration.
- Export publication quality 3D scenes and charts.
- Annotating scenes with mathematical equations.
Books and Tutorials
- The official ParaView guide available from Kitware. Book Errata
- The newly revised official ParaView guide.
- An introductory and comprehensive tutorial.
- Slides and data from the Advanced ParaView for tutorial.
- ParaView Videos on Channel 9
- Using ParaView in Windows HPC Server
- Introduction to ParaView
- Tutorial slides and code for the IEEE Vis DIY Vis Applications, ParaView section.
- Use of ParaView's coprocessing API for in-situ visualization.
- Description of ParaView's reconfigurable client application infrastructure - aka 'branding'
- Slides for the advanced topics tutorial by Sandia, Kitware, and LANL.
- Slides on topics for installing and using ParaView on visualization clusters.
- Beginning and advanced tutorial sets, each presented as 2 hour classes by Sandia National Laboratories
- Slides for the advanced topics tutorial by Sandia, Kitware, and CSCS.
- This Wiki is full of useful information and tutorials about ParaView.
- These howtos are instructions for some common operations.
- 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.
- Suggestions for online help documentation changes.
- A place to document ServerManager configuration XML hints.
- Implementation details of the Surface LIC plugin.
ParaView based Applications
- Documentation about the StreamingParaView application.
Web Visualization with ParaView
- Documentation for the ParaView Web Visualization Framework
Plugins Distributed with ParaView
- Included Plugins
- Guidelines for Contributing Plugins
Miscellaneous
- Quarterly newsletter for developers designed to deliver detailed technical articles related to Kitware's open source products including ParaView.
- Often new users may say "Surely Paraview can do X... but I can't find it!". This terminology map should help!
Developers Corner
Mailing List
The developers mailing list is here: http://public.kitware.com/mailman/subscribe/paraview-developers
This should be used for questions about modifying the Paraview code, not using Paraview.
Plugin Development
Handy Developer Info
Release Testing
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