Metadata-Version: 2.1
Name: jellyfish
Version: 1.0.1
Classifier: Programming Language :: Rust
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
License-File: LICENSE
Summary: Approximate and phonetic matching of strings.
Author: James Turk <dev@jamesturk.net>
Author-email: James Turk <dev@jamesturk.net>
License: MIT
Requires-Python: >=3.7
Description-Content-Type: text/markdown; charset=UTF-8; variant=GFM
Project-URL: homepage, https://jamesturk.github.io/jellyfish/
Project-URL: repository, https://github.com/jamesturk/jellyfish/
Project-URL: documentation, https://jamesturk.github.io/jellyfish/

# Overview

**jellyfish** is a library for approximate & phonetic matching of strings.

Source: [https://github.com/jamesturk/jellyfish](https://github.com/jamesturk/jellyfish)

Documentation: [https://jamesturk.github.io/jellyfish/](https://jamesturk.github.io/jellyfish/)

Issues: [https://github.com/jamesturk/jellyfish/issues](https://github.com/jamesturk/jellyfish/issues)

[![PyPI badge](https://badge.fury.io/py/jellyfish.svg)](https://badge.fury.io/py/jellyfish)
[![Test badge](https://github.com/jamesturk/jellyfish/workflows/Python%20package/badge.svg)](https://github.com/jamesturk/jellyfish/actions?query=workflow%3A%22Python+package)
[![Coveralls](https://coveralls.io/repos/jamesturk/jellyfish/badge.png?branch=master)](https://coveralls.io/r/jamesturk/jellyfish)
![Test Rust](https://github.com/jamesturk/rust-jellyfish/workflows/Test%20Rust/badge.svg)

## 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

``` python
>>> 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'
```

