Pattern web mining module

I Use This!

Very Low Activity

Analyzed about 13 hours ago. based on code collected 2 days ago.

Project Summary

Pattern is a web mining module for Python 2.5+ with functionality for data retrieval (Google + Twitter + Wikipedia, web spider, HTML DOM parser), natural language processing for English, German and Dutch (tagger/chunker, n-gram search, sentiment analysis, WordNet), machine learning (nearest neighbor, clustering, Naive Bayes + k-NN + SVM classifiers) and network analysis (graph centrality, graph visualization).

In a Nutshell, Pattern web mining module...

...
has had 1,435 commits made by 29 contributors
representing 58,139 lines of code
...
is mostly written in Python
with an average number of source code comments
...
has a well established, mature codebase
maintained by one developer
with increasing Y-O-Y commits
...
took an estimated 14 years of effort (COCOMO model)
starting with its first commit in February, 2011
ending with its most recent commit about 2 months ago

Quick Reference

Project Links:

Homepage
Download
Other

Code Locations:

https://github.com/clips/pattern

Similar Projects:

Managers:

tomdesmedt

Licenses

BSD 4-clause (University of California-Specific)

Permitted

Commercial Use

Modify

Distribute

Place Warranty

Forbidden

Hold Liable

Use Trademarks

Required

Include Copyright

Include License

These details are provided for information only. No information here is legal advice and should not be used as such.

All Licenses

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

Did You Know...

...
65% of companies leverage OSS to speed application development in 2016
...
search using multiple tags to find exactly what you need
...
there are over 3,000 projects on the Open Hub with security vulnerabilities reported against them
...
check out hot projects on the Open Hub