AtomEmbedded Machine Learning Products

I Use This!

Inactive

Analyzed about 9 hours ago. based on code collected about 9 hours ago.

Project Summary

Embedded machine learning applications evaluating the speed using various techniques such as spin_locks, barriers and multi-threading. All source code uses Autotools and implements Doxygen comments.

In a Nutshell, AtomEmbedded Machine Learning Products...

...
has had 567 commits made by 3 contributors
representing 350,132 lines of code
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is mostly written in C
with an average number of source code comments
...
has a young, but established codebase
maintained by nobody
with stable Y-O-Y commits
...
took an estimated 93 years of effort (COCOMO model)
starting with its first commit in October, 2014
ending with its most recent commit over 5 years ago

Quick Reference

Project Links:

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Code Locations:

svn://svn.code.sf.net/p/atomprod...

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Managers:

ron_brash

This Project has No vulnerabilities Reported Against it

Did You Know...

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65% of companies leverage OSS to speed application development in 2016
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search using multiple tags to find exactly what you need
...
55% of companies leverage OSS for production infrastructure
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Code

Lines of Code

Activity

Commits per Month

Community

Contributors per Month

Languages

C	78%
Make	10%
shell script	5%
12 Other	7%

30 Day Summary

Mar 12 2021 — Apr 11 2021

0 Commits
0 Contributors

12 Month Summary

Apr 11 2020 — Apr 11 2021

0 Commits
0 Contributors

Most Recent Contributors

	lantzvillian		atom2626
	billy4568

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AtomEmbedded Machine Learning Products

Project Summary

Tags

In a Nutshell, AtomEmbedded Machine Learning Products...

Quick Reference

This Project has No vulnerabilities Reported Against it

Did You Know...

Code

Lines of Code

Activity

Commits per Month

Community

Contributors per Month

Languages

30 Day Summary

12 Month Summary

Most Recent Contributors

Ratings

Project Summary

Code Data

SCM Data

Community Data