| Name | jellyfish JSON |
| Version |
1.1.3
JSON |
| download |
| home_page | None |
| Summary | Approximate and phonetic matching of strings. |
| upload_time | 2024-12-14 19:45:41 |
| maintainer | None |
| docs_url | None |
| author | James Turk <dev@jamesturk.net> |
| requires_python | >=3.8 |
| license | MIT |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
|
# 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)
[](https://badge.fury.io/py/jellyfish)
[](https://github.com/jamesturk/jellyfish/actions?query=workflow%3A%22Python+package)
[](https://coveralls.io/r/jamesturk/jellyfish)
## Included Algorithms
String comparison:
* Levenshtein Distance
* Damerau-Levenshtein Distance
* Jaccard Index
* 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_similarity('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'
```
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"description": "# Overview\n\n**jellyfish** is a library for approximate & phonetic matching of strings.\n\nSource: [https://github.com/jamesturk/jellyfish](https://github.com/jamesturk/jellyfish)\n\nDocumentation: [https://jamesturk.github.io/jellyfish/](https://jamesturk.github.io/jellyfish/)\n\nIssues: [https://github.com/jamesturk/jellyfish/issues](https://github.com/jamesturk/jellyfish/issues)\n\n[](https://badge.fury.io/py/jellyfish)\n[](https://github.com/jamesturk/jellyfish/actions?query=workflow%3A%22Python+package)\n[](https://coveralls.io/r/jamesturk/jellyfish)\n\n\n## Included Algorithms\n\nString comparison:\n\n* Levenshtein Distance\n* Damerau-Levenshtein Distance\n* Jaccard Index\n* Jaro Distance\n* Jaro-Winkler Distance\n* Match Rating Approach Comparison\n* Hamming Distance\n\nPhonetic encoding:\n\n* American Soundex\n* Metaphone\n* NYSIIS (New York State Identification and Intelligence System)\n* Match Rating Codex\n\n## Example Usage\n\n``` python\n>>> import jellyfish\n>>> jellyfish.levenshtein_distance('jellyfish', 'smellyfish')\n2\n>>> jellyfish.jaro_similarity('jellyfish', 'smellyfish')\n0.89629629629629637\n>>> jellyfish.damerau_levenshtein_distance('jellyfish', 'jellyfihs')\n1\n\n>>> jellyfish.metaphone('Jellyfish')\n'JLFX'\n>>> jellyfish.soundex('Jellyfish')\n'J412'\n>>> jellyfish.nysiis('Jellyfish')\n'JALYF'\n>>> jellyfish.match_rating_codex('Jellyfish')\n'JLLFSH'\n```\n\n",
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