ParaViewWeb

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This document describes ParaViewWeb framework introduced with ParaView 4.0. For earlier version, try this revision.

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ParaViewWeb is a collection of components that enables the use of ParaView's visualization and data analysis capabilities within Web applications.

Using the latest HTML 5.0 based technologies, such as WebSocket, and WebGL, ParaViewWeb enables communiation with a ParaView server runnning on a remote visualization node or cluster using a light-weight JavaScript API. Using this API, Web applications can easily embed interactive 3D visualization components. Application developers can write simple Python scripts to extend the server capabilities including creating custom visualization pipelines.

ParaViewWeb makes it possible to extend web-based scientific workflows with ability to visualizate and analyze datasets easily.

More samples and tutorials are forthcoming. In the mean time, one can access the JavaScript and Python API documentation on ParaView website.

Getting Started

More detailed documentation and tutorials will be available soon. Until then, here's how to start a simple local web-server to open data files using ParaView 4.0 binaries. More informations can also be found here:

• http://www.paraview.org/ParaView3/Doc/Nightly/www/js-doc/index.html
• http://www.paraview.org/ParaView3/Doc/Nightly/www/py-doc/index.html

Starting the web-server

The generated version of ParaView binaries can be used to execute the following command lines. The files can be downloaded here: http://www.paraview.org/paraview/resources/software.php For OS X, the ParaView binary that is compatible with ParaViewWeb is the one using Python 2.7.

Linux

<source lang="bash"> > cd $PARAVIEW_ROOT > ./bin/pvpython lib/paraview-4.0/site-packages/paraview/pipeline_manager.py --content lib/paraview-4.0/www --port 8080 --data-dir $PARAVIEW_DATA </source>

If Nightly binaries are used or any 4.1+ release you should use the following command line

<source lang="bash"> > cd $PARAVIEW_ROOT > ./bin/pvpython lib/paraview-4.1/site-packages/paraview/web/pv_web_visualizer.py --content share/paraview-4.1/www --port 8080 --data-dir $PARAVIEW_DATA </source>

OsX

<source lang="bash"> > cd $PARAVIEW_ROOT/Contents > ./bin/pvpython Python/paraview/pipeline_manager.py --content www --port 8080 --data-dir $PARAVIEW_DATA </source>

If Nightly binaries are used or any 4.1+ release you should use the following command line

<source lang="bash"> > cd $PARAVIEW_ROOT > ./bin/pvpython lib/paraview-4.1/site-packages/paraview/web/pv_web_visualizer.py --content share/paraview-4.1/www --port 8080 --data-dir $PARAVIEW_DATA </source>

Windows

<source lang="bash"> > cd $PARAVIEW_ROOT\bin > pvpython.exe ..\lib\paraview-4.0\site-packages\paraview\pipeline_manager.py --content ..\lib\paraview-4.0\www --port 8080 --data-dir $PARAVIEW_DATA </source>

If Nightly binaries are used or any 4.1+ release you should use the following command line Although the www directory may be missing in current windows binaries but could be retrieved from the Linux package.

<source lang="bash"> > cd $PARAVIEW_ROOT\bin > pvpython.exe ..\lib\paraview-4.1\site-packages\paraview\web\pv_web_visualizer.py --content share\paraview-4.1\www --port 8080 --data-dir $PARAVIEW_DATA </source>

where:

• $PARAVIEW_ROOT points to path where the ParaView tarball was extracted.
• $PARAVIEW_DATA is path to directory containing data files to test (without trailing "/")

Starting the client

Once the server has started, simply point your web-browser to http://localhost:8080/apps/WebVisualizer/

There is 4 built-in demos in the www directory:

• http://localhost:8080/apps/WebVisualizer/
• http://localhost:8080/apps/WebFileViewer
• http://localhost:8080/apps/DataProber
• http://localhost:8080/apps/LiveArticles