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...
- ...
- ...
-
...
has a well established, mature codebase
maintained by a small development team
with decreasing Y-O-Y commits -
...
took an estimated 307 years of effort (COCOMO model)
starting with its first commit in April, 2014
ending with its most recent commit 3 days ago
GNU General Public License v3.0 or later
Permitted
Commercial Use
Modify
Distribute
Place Warranty
Use Patent Claims
Forbidden
Sub-License
Hold Liable
Required
Distribute Original
Disclose Source
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
Vulnerability Exposure Index
Did You Know...
-
...
in 2016, 47% of companies did not have formal process in place to track OS code
-
...
data presented on the Open Hub is available through our API
-
...
use of OSS increased in 65% of companies in 2016
-
...
check out hot projects on the Open Hub
30 Day SummaryMar 25 2024 — Apr 24 2024
|
12 Month SummaryApr 24 2023 — Apr 24 2024
|
