ADAMShttp://mloss.orgUpdates and additions to ADAMSenWed, 20 Dec 2017 09:38:32 -0000ADAMS 17.12.0<html><p>ADAMS is a flexible workflow engine aimed at quickly building and maintaining data-driven, reactive workflows, easily integrated into business processes. </p> <p>Instead of placing operators on a canvas and manually connecting them, a tree structure and flow control operators determine how data is processed (sequentially/parallel). This allows rapid development and easy maintenance of large workflows, with hundreds or thousands of operators. </p> <p>Operators include machine learning (WEKA, MOA, MEKA, deeplearning4j) and image processing (ImageJ, JAI, BoofCV, OpenImaJ,LIRE, ImageMagick and Gnuplot). R available using Rserve. WEKA webservice allows other frameworks to use WEKA models. Fast prototyping with Groovy and Jython. Read/write support for various databases and spreadsheet applications. </p></html>peter reutemann, dale fletcher, michael fowke, ryan smith, leo xiong, Steven BrownWed, 20 Dec 2017 09:38:32 -0000 processingwebservicemoagisopenstreetmapmeka