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 increasing Y-O-Y commits -
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took an estimated 319 years of effort (COCOMO model)
starting with its first commit in April, 2014
ending with its most recent commit 6 days ago
GNU General Public License v3.0 or later
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These details are provided for information only. No information here is legal advice and should not be used as such.
Project Security
Vulnerabilities per Version ( last 10 releases )
There are no reported vulnerabilities
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30 Day SummaryJul 24 2025 — Aug 23 2025
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12 Month SummaryAug 23 2024 — Aug 23 2025
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