PyBayes

I Use This!

Inactive

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

Project Summary

PyBayes is an object-oriented Python library for recursive Bayesian estimation (Bayesian filtering) that is convenient to use. Already implemented are Kalman filter, particle filter and marginalized particle filter, all built atop of a light framework of probability density functions. PyBayes can optionally use Cython for lage speed gains (Cython build is several times faster).

In a Nutshell, PyBayes...

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has had 438 commits made by 3 contributors
representing 7,662 lines of code
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is mostly written in Python
with an average number of source code comments
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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 2 years of effort (COCOMO model)
starting with its first commit in September, 2010
ending with its most recent commit almost 3 years ago

Quick Reference

Project Links:

Homepage
Documentation
Download

Code Locations:

https://github.com/strohel/PyBayes

Similar Projects:

Managers:

Matěj Laitl

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

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