ADAMS

ADAMS is a flexible workflow engine aimed at quickly building and maintaining data-driven, reactive workflows, easily integrated into business processes.

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.

Operators include machine learning (WEKA, MOA, MEKA) and image processing (ImageJ, JAI, BoofCV, LIRE 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.

Features

workflow
weka
meka
moa
jython
groovy
jai
boofcv
lire
raw
qrcode
gnuplot
ssh
sftp
compression
r-project
timeseries
webservice
pdf
gis
openstreetmap
msexcel
odf
gnumeric
msaccess
mysql
sqlite
jdbc

Project Samples

Preview browser displaying a serialized BayesNet classifier

Applying different preprocessing techniques to dataset

Project Activity

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License

GNU General Public License version 3.0 (GPLv3)

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ADAMS Web Site

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Additional Project Details

Languages

English

Intended Audience

Science/Research

User Interface

Java Swing

Programming Language

Java

Database Environment

JDBC

Related Categories

Java Machine Learning Software, Java Image Processing Software

Registered

2012-10-01

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