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I Use This!
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Analyzed 1 day ago. based on code collected 3 days 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) 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...

GNU General Public License v3.0 or later
Permitted

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Use Patent Claims

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Include Copyright

State Changes

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

Vulnerabilities per Version ( last 10 releases )

There are no reported vulnerabilities

Project Vulnerability Report

Security Confidence Index

Poor security track-record
Favorable security track-record

Vulnerability Exposure Index

Many reported vulnerabilities
Few reported vulnerabilities

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About Project Security

Languages

Java
95%
13 Other
5%

30 Day Summary

Oct 8 2024 — Nov 7 2024

12 Month Summary

Nov 7 2023 — Nov 7 2024
  • 865 Commits
    Up + 116 (15%) from previous 12 months
  • 2 Contributors
    Down 0 (0%) from previous 12 months