Changes between Version 239 and Version 240 of WikiStart

Timestamp:

May 18, 2017, 11:09:29 AM (8 years ago)

Author:

Peter Baumann

Comment:

—

WikiStart

@@ -48 +48 @@
         <fieldset style="margin-top:2px; width:140;">
           <legend><b><a href="https://www.openhub.net/p/rasdaman">OpenHub says</a>:</b></legend>
+          "top 10% of all project teams on Open Hub",<br/>
           "maintained by a large development team",<br/>
-          "top 10% of all project teams on Open Hub"
+          "well established, mature codebase, stable Y-O-Y commits"
         </fieldset>
       </font>
@@ -58 +59 @@
 '''Wanna try?''' It's easy! First, for getting an impression of rasdaman you can to try out hands-on: http://standards.rasdaman.com is a demonstration site showcasing rasdaman-enabled the Big Earth Data standards OGC WCS and WCPS in a variety of 1-D to 5-D geo use cases. Next, you can [wiki:Download download] readily configured VMs, RPMs, or - of course - compile rasdaman from source. For each step, there is [http://rasdaman.org/wiki/Documentation ample documentation] available, as well as [http://rasdaman.org/wiki/Support professional support], including dedicated [http://rasdaman.org/wiki/MailingLists mailing lists].
 
-[[Image(rasdaman-wcs-core-RI.png, link=wiki:News align=left, width=400)]] '''Next-Generation Geo Raster Server'''. From simple geo imagery services up to complex analytics, rasdaman provides the whole spectrum of functionality on spatio-temporal raster data - both regular and irregular grids. And it does so with an unprecedented performance and scalability, as recent scientific benchmarks show. To leverage this enabling technology, users do not necessarily have to learn new interfaces: rasdaman [wiki:Clients integrates] smoothly with R, !OpenLayers, Leaflet, NASA !WorldWind, GDAL, !MapServer, ESRI ArcGIS, and many more. 
+[[Image(rasdaman-wcs-core-RI.png, link=wiki:News align=right, width=400)]] '''Next-Generation Geo Raster Server'''. From simple geo imagery services up to complex analytics, rasdaman provides the whole spectrum of functionality on spatio-temporal raster data - both regular and irregular grids. And it does so with an unprecedented performance and scalability, as recent scientific benchmarks show. To leverage this enabling technology, users do not necessarily have to learn new interfaces: rasdaman [wiki:Clients integrates] smoothly with R, !OpenLayers, Leaflet, NASA !WorldWind, GDAL, !MapServer, ESRI ArcGIS, and many more.
 
 '''Makers of Big Data Standards'''.