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) 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.
In a Nutshell, The ADAMS Flow...
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has a well established, mature codebase
maintained by a small development team
with stable Y-O-Y commits -
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took an estimated 306 years of effort (COCOMO model)
starting with its first commit in April, 2014
ending with its most recent commit about 1 year ago
GNU General Public License v3.0 or later
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Include License
Include Install Instructions
These details are provided for information only. No information here is legal advice and should not be used as such.
Project Security
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30 Day SummaryDec 20 2023 — Jan 19 2024
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12 Month SummaryJan 19 2023 — Jan 19 2024
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