Analyzed
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based on code collected
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Project Summary
HDGS is an abstraction layer (representing time dependent graphs, as well as time series of node or link propeties) on top of HDFS and HBase, to connect the HDGSworkspace - a toolbox for processing, transforming and filtering graphs and networks into the hadoop ecosystem. It is not intendet to be a nother machine learning tool (therefor we have Mahout), but it will combine several existing concepts or tools like: GraphLab, Neo4J, Titan, HAMA, Giraph, Mahout and others in to on place.
In a Nutshell, HDGS...
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took an estimated 2 years of effort (COCOMO model)
starting with its first commit in July, 2012
ending with its most recent commit over 8 years ago
Quick Reference
https://github.com/kamir/HDGS
This Project has No vulnerabilities Reported Against it
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30 Day SummaryNov 7 2024 — Dec 7 2024
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12 Month SummaryDec 7 2023 — Dec 7 2024
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