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

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License

GNU General Public License version 3.0 (GPLv3)

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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