General Hidden Markov Model Library

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Analyzed 7 months ago. based on code collected 7 months ago.

Project Summary

The General Hidden Markov Model Library (GHMM) is a C library with additional Python bindings implementing a wide range of types of Hidden Markov Models and algorithms: discrete, continous emissions, basic training, HMM clustering, HMM mixtures.http://ghmm.sourceforge.net

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In a Nutshell, General Hidden Markov Model Library...

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has had 1,469 commits made by 20 contributors
representing 38,550 lines of code
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is mostly written in C
with a well-commented source code
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has a well established, mature codebase
maintained by nobody
with stable Y-O-Y commits
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took an estimated 10 years of effort (COCOMO model)
starting with its first commit in April, 2001
ending with its most recent commit about 11 years ago

Quick Reference

Project Links:

Homepage

Code Locations:

https://svn.code.sf.net/p/ghmm/c...

Similar Projects:

Managers:

Janne Grunau

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

About Project Vulnerability Report

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