a library for doing approximate and phonetic matching of strings.

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  • License: BSD License
  • Requires: Python >3.4
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Project description

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Jellyfish is a python library for doing approximate and phonetic matching of strings.

Written by James Turk <dev@jamesturk.net> and Michael Stephens.

See https://github.com/jamesturk/jellyfish/graphs/contributors for contributors.

See http://jellyfish.readthedocs.io for documentation.

Source is available at http://github.com/jamesturk/jellyfish.

Jellyfish >= 0.7 only supports Python 3, if you need Python 2 please use 0.6.x.

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(u'jellyfish', u'smellyfish')
2
>>> jellyfish.jaro_distance(u'jellyfish', u'smellyfish')
0.89629629629629637
>>> jellyfish.damerau_levenshtein_distance(u'jellyfish', u'jellyfihs')
1

>>> jellyfish.metaphone(u'Jellyfish')
'JLFX'
>>> jellyfish.soundex(u'Jellyfish')
'J412'
>>> jellyfish.nysiis(u'Jellyfish')
'JALYF'
>>> jellyfish.match_rating_codex(u'Jellyfish')
'JLLFSH'

Running Tests

If you are interested in contributing to Jellyfish, you may want to run tests locally. Jellyfish uses tox to run tests, which you can setup and run as follows:

pip install tox
# cd jellyfish/
tox

Project details

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  • License: BSD License
  • Requires: Python >3.4
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Release history Release notifications | RSS feed

1.1.0

1.0.4

1.0.3

1.0.1

1.0.0

0.11.2

0.11.1

0.11.0

0.11.0a4 pre-release

0.11.0a3 pre-release

0.11.0a1 pre-release

0.10.0

0.9.0

0.8.9

0.8.8

0.8.7

0.8.4

This version

0.8.2

0.8.1 yanked

Reason this release was yanked:

broken C extension

0.8.0 yanked

Reason this release was yanked:

broken backwards-compat shim

0.7.2

0.7.1

0.6.1

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0.5.6

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