Mocapy++

I Use This!

Inactive

Analyzed 1 day ago. based on code collected 1 day ago.

Project Summary

Mocapy++ is a Dynamic Bayesian Network toolkit, implemented in C++. It supports discrete, multinomial, Gaussian, Kent, Von Mises and Poisson nodes. Inference and learning is done by Gibbs sampling/Stochastic-EM.

In a Nutshell, Mocapy++...

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has had 538 commits made by 1 contributors
representing 9,919 lines of code
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is mostly written in Python
with a well-commented source code
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has a codebase with a long source history
maintained by nobody
with stable Y-O-Y commits
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took an estimated 3 years of effort (COCOMO model)
starting with its first commit in September, 2004
ending with its most recent commit over 16 years ago

Quick Reference

Project Links:

Homepage

Code Locations:

:pserver:anonymous:@mocapy.cvs.s...

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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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