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Analyzed about 4 hours ago. based on code collected about 24 hours ago.

Project Summary

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, 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.

Tags

deeplearning gis gnuplot groovy imagej imagemagick jai java jython machine_learning meka moa openstreetmap r_project soap swing twitter webservice weka workflow

In a Nutshell, The ADAMS Flow...

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These details are provided for information only. No information here is legal advice and should not be used as such.

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This Project has No vulnerabilities Reported Against it

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Languages

Languages?height=75&width=75
Java
94%
14 Other
6%

30 Day Summary

Jun 14 2018 — Jul 14 2018

12 Month Summary

Jul 14 2017 — Jul 14 2018
  • 1889 Commits
    Down -818 (30%) from previous 12 months
  • 4 Contributors
    Up + 1 (33%) from previous 12 months