ParaViewWeb

*under construction*

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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 onParaView 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

Linux

<source lang="bash"> > cd $PARAVIEW_ROOT > ./bin/pvpython lib/paraview-4.0/site-packages/paraview/pipeline_manager.py --content 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 "/")

OsX

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

Starting the client

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