Skip to main content
Help us improve Python packaging – donate today!

Fast Python phonetic algorithms

Project Description

Fuzzy is a python library implementing common phonetic algorithms quickly. Typically this is in string similarity exercises, but they’re pretty versatile.

It uses C Extensions (via Cython) for speed.

The algorithms are:

Usage

The functions are quite easy to use!

>>> import fuzzy
>>> soundex = fuzzy.Soundex(4)
>>> soundex('fuzzy')
'F200'
>>> dmeta = fuzzy.DMetaphone()
>>> dmeta('fuzzy')
['FS', None]
>>> fuzzy.nysiis('fuzzy')
'FASY'

Performance

Fuzzy’s Double Metaphone was ~10 times faster than the pure python implementation by Andrew Collins in some recent testing. Soundex and NYSIIS should be similarly faster. Using iPython’s timeit:

In [3]: timeit soundex('fuzzy')
1000000 loops, best of 3: 326 ns per loop

In [4]: timeit dmeta('fuzzy')
100000 loops, best of 3: 2.18 us per loop

In [5]: timeit fuzzy.nysiis('fuzzy')
100000 loops, best of 3: 13.7 us per loop

Distance Metrics

We recommend the Python-Levenshtein module for fast, C based string distance/similarity metrics. Among others functions it includes:

In testing it’s been several times faster than comparable pure python implementations of those algorithms.

Release history Release notifications

This version
History Node

1.2.2

History Node

1.2.1

History Node

1.2

History Node

1.1

History Node

1.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
Fuzzy-1.2.2.tar.gz (14.8 kB) Copy SHA256 hash SHA256 Source None Oct 16, 2017

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging CloudAMQP CloudAMQP RabbitMQ AWS AWS Cloud computing Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page