67 lines
1.7 KiB
ReStructuredText
67 lines
1.7 KiB
ReStructuredText
=========
|
|
jellyfish
|
|
=========
|
|
|
|
.. image:: https://travis-ci.org/sunlightlabs/jellyfish.svg?branch=master
|
|
:target: https://travis-ci.org/sunlightlabs/jellyfish
|
|
|
|
.. image:: https://coveralls.io/repos/sunlightlabs/jellyfish.png?branch=master
|
|
:target: https://coveralls.io/r/sunlightlabs/jellyfish
|
|
|
|
.. image:: https://pypip.in/version/jellyfish/badge.svg
|
|
:target: https://pypi.python.org/pypi/jellyfish
|
|
|
|
.. image:: https://pypip.in/format/jellyfish/badge.svg
|
|
:target: https://pypi.python.org/pypi/jellyfish
|
|
|
|
|
|
Jellyfish is a python library for doing approximate and phonetic matching of strings.
|
|
|
|
jellyfish is a project of Sunlight Labs (c) 2014.
|
|
All code is released under a BSD-style license, see LICENSE for details.
|
|
|
|
Written by James Turk <jturk@sunlightfoundation.com> and Michael Stephens.
|
|
|
|
See https://github.com/sunlightlabs/jellyfish/graphs/contributors for contributors.
|
|
|
|
Source is available at http://github.com/sunlightlabs/jellyfish.
|
|
|
|
Included Algorithms
|
|
===================
|
|
|
|
String comparison:
|
|
|
|
* Levenshtein Distance
|
|
* Damerau-Levenshtein Distance
|
|
* Jaro Distance
|
|
* Jaro-Winkler Distance
|
|
* Match Rating Approach Comparison
|
|
* Hamming Distance
|
|
|
|
Phonetic encoding:
|
|
|
|
* American Soundex
|
|
* Metaphone
|
|
* NYSIIS (New York State Identification and Intelligence System)
|
|
* Match Rating Codex
|
|
|
|
Example Usage
|
|
=============
|
|
|
|
>>> import jellyfish
|
|
>>> jellyfish.levenshtein_distance('jellyfish', 'smellyfish')
|
|
2
|
|
>>> jellyfish.jaro_distance('jellyfish', 'smellyfish')
|
|
0.89629629629629637
|
|
>>> jellyfish.damerau_levenshtein_distance('jellyfish', 'jellyfihs')
|
|
1
|
|
|
|
>>> jellyfish.metaphone('Jellyfish')
|
|
'JLFX'
|
|
>>> jellyfish.soundex('Jellyfish')
|
|
'J412'
|
|
>>> jellyfish.nysiis('Jellyfish')
|
|
'JALYF'
|
|
>>> jellyfish.match_rating_codex('Jellyfish')
|
|
'JLLFSH'
|