Difference between revisions of "Main Page"

From
Jump to: navigation, search
 
(6 intermediate revisions by the same user not shown)
Line 1: Line 1:
__NOTITLE__
+
{{#tweekihide:sidebar-left}}
 +
<div class="jumbotron">
 +
    <h1><span class="mw-headline" id="Tweeki"></span><span class="mw-headline" id="Tweeki"></span>>welcome to </h1>
 +
<h2 style="margin-top:0px"><span class="mw-headline" id=".3D_Mediawiki_.2B_Twitter_Bootstrap"></span><span class="mw-headline" id=".3D_Mediawiki_.2B_Twitter_Bootstrap"></span>wiki.ViSUS.org</h2>
 +
    <p>Here you will find documentation for the tools distributed on [http://www.visus.org ViSUS.org]</p>
 +
</div>
  
<strong>Welcome to the ViSUS.org Wiki</strong>
+
<div class="row-fluid clearfix" style="text-align:center">
 
+
<div class="col-md-3">
Here you will find documentation for the tools distributed on [http://www.visus.org ViSUS.org]
+
<h3><span class="mw-headline" id="highly_configurable"></span><span class="fa fa-eye fa-2x"></span><br><br>Interactive Visualization</h3>
 
+
<p>Navigate your Big Data interactively with<br/> [[ViSUS Viewer]]</p>
== ViSUS Utilities ==
+
</div>
 
+
<div class="col-md-3">
ViSUS provides several command line utilities, for example to compress or convert datasets from different file formats (i.e. image formats or raw arrays) to IDX.
+
<h3><span class="mw-headline" id="userfriendly_for_newbies"></span><span class="fa fa-slideshare fa-2x"></span><br><br>BigData Sharing</h3>
The supported formats are the ones supported by [http://freeimage.sourceforge.net/features.html FreeImage].
+
<p>Setup your Big Data streaming server today with <br/>[[ViSUS Docker Deployment|ViSUS server]]
 
+
</p>
Learn more about data conversion to IDX in [[ViSUS Convert]].
+
</div>
 
+
<div class="col-md-3">
You can find here the full list of [[ViSUS Utilities]].
+
<h3><span class="mw-headline" id="wiki-as-a-website"></span><span class="fa fa-database fa-2x"></span><br><br>High Performance I/O</h3>
 
+
<p>Speed up your application I/O with [[PIDX]]
== ViSUS Viewer ==
+
</p>
 
+
</div>
ViSUS viewer is the main tool for interactive visualization and analysis of large scale datasets.
+
<div class="col-md-3">
 
+
<h3><span class="mw-headline" id="semantic_wikis"></span><span class="fa fa-gears fa-2x"></span><br><br>Interactive Analysis</h3>
Learn more about [[ViSUS Viewer]].
+
<p>Integrate your applications with ViSUS Framework using the python [[ViSUSpy]] module
 
+
</p>
== ViSUS WebViewer ==
+
</div>
 
+
</div>
ViSUS WebViewer allows to visualize you large scale imagery data interactively on your browser.
 
 
 
Learn more about [[ViSUS WebViewer]]
 
 
 
== ViSUSpy ==
 
 
 
ViSUSpy is a python framework that enables to use all the streaming, progressive, multiresolution capabilities of [[ViSUS Viewer]] through python.
 
 
 
Learn more about [[ViSUSpy]].
 
 
 
== ViSUS Server ==  
 
 
 
ViSUS Server is the server component that handles the streaming of the data to multiple clients (e.g. like ViSUS Viewer).
 
It is deployed as an Apache module with the [[ViSUS Docker Deployment]].
 
 
 
Learn more about [[ViSUS Server]].
 
 
 
== ViSUS Docker Deployment ==  
 
 
 
In the ViSUS Docker Deployment you can find ready to use:
 
* ViSUS server installation
 
* ViSUSpy installation
 
 
 
Learn more about [[ViSUS Docker Deployment]].
 
 
 
== ViSOAR ==
 
 
 
ViSOAR is a visualization tool for large scale imagery.
 
 
 
Learn more about [https://visoar.org/ ViSOAR].
 
 
 
== PIDX ==
 
 
 
PIDX is an efficient parallel I/O library that reads and writes multiresolution IDX data files.
 
 
 
PIDX is open source and available on GitHub: [https://github.com/sci-visus/PIDX/ PIDX]
 
 
 
Learn more about [[PIDX]].
 

Latest revision as of 23:23, 25 April 2018

>welcome to

wiki.ViSUS.org

Here you will find documentation for the tools distributed on ViSUS.org



Interactive Visualization

Navigate your Big Data interactively with
ViSUS Viewer



BigData Sharing

Setup your Big Data streaming server today with
ViSUS server



High Performance I/O

Speed up your application I/O with PIDX



Interactive Analysis

Integrate your applications with ViSUS Framework using the python ViSUSpy module