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174715153 MDEwOlJlcG9zaXRvcnkxNzQ3MTUxNTM= datasette-jellyfish simonw/datasette-jellyfish 0 9599 https://github.com/simonw/datasette-jellyfish Datasette plugin adding SQL functions for fuzzy text matching powered by Jellyfish 0 2019-03-09T16:02:01Z 2021-02-06T02:33:49Z 2021-02-06T02:34:18Z https://datasette.io/plugins/datasette-jellyfish 15 9 9 Python 1 1 1 1 0 2 0 0 0 apache-2.0 ["datasette", "datasette-plugin", "datasette-io"] 2 0 9 main {"admin": false, "push": false, "pull": false}     2 1 # datasette-jellyfish [![PyPI](https://img.shields.io/pypi/v/datasette-jellyfish.svg)](https://pypi.org/project/datasette-jellyfish/) [![Changelog](https://img.shields.io/github/v/release/simonw/datasette-jellyfish?include_prereleases&label=changelog)](https://github.com/simonw/datasette-jellyfish/releases) [![Tests](https://github.com/simonw/datasette-jellyfish/workflows/Test/badge.svg)](https://github.com/simonw/datasette-jellyfish/actions?query=workflow%3ATest) [![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/simonw/datasette-jellyfish/blob/main/LICENSE) Datasette plugin that adds custom SQL functions for fuzzy string matching, built on top of the [Jellyfish](https://github.com/jamesturk/jellyfish) Python library by James Turk and Michael Stephens. Interactive demos: * [soundex, metaphone, nysiis, match_rating_codex comparison](https://latest-with-plugins.datasette.io/fixtures?sql=SELECT%0D%0A++++soundex%28%3As%29%2C+%0D%0A++++metaphone%28%3As%29%2C+%0D%0A++++nysiis%28%3As%29%2C+%0D%0A++++match_rating_codex%28%3As%29&s=demo). * [distance functions comparison](https://latest-with-plugins.datasette.io/fixtures?sql=SELECT%0D%0A++++levenshtein_distance%28%3As1%2C+%3As2%29%2C%0D%0A++++damerau_levenshtein_distance%28%3As1%2C+%3As2%29%2C%0D%0A++++hamming_distance%28%3As1%2C+%3As2%29%2C%0D%0A++++jaro_similarity%28%3As1%2C+%3As2%29%2C%0D%0A++++jaro_winkler_similarity%28%3As1%2C+%3As2%29%2C%0D%0A++++match_rating_comparison%28%3As1%2C+%3As2%29%3B&s1=barrack+obama&s2=barrack+h+obama) Examples: SELECT soundex("hello"); -- Outputs H400 SELECT metaphone("hello"); -- Outputs HL SELECT nysiis("hello"); -- Outputs HAL SELECT match_rating_codex("hello"); -- Outputs HLL SELECT porter_stem("running"); -- Outputs run SELECT levenshtein_distance("hello", "hello world"); -- Outputs 6 SELECT damerau_levenshtein_distance("hello", "hello world"); -- Outputs 6 SELECT hamming_distance("hello", "hello world"); -- Outputs 6 SELECT jaro_similarity("hello", "hello world"); -- Outputs 0.8181818181818182 SELECT jaro_winkler_similarity("hello", "hello world"); -- Outputs 0.890909090909091 SELECT match_rating_comparison("hello", "helloo"); -- Outputs 1 See [the Jellyfish documentation](https://jellyfish.readthedocs.io/en/latest/) for an explanation of each of these functions. <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-jellyfish" class="anchor" aria-hidden="true" href="#user-content-datasette-jellyfish"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-jellyfish</h1> <p><a href="https://pypi.org/project/datasette-jellyfish/" rel="nofollow"><img src="https://camo.githubusercontent.com/e05229cfd49e2fc6fbff79424545caee53b94da156d85d3f3bdb39ee9e32aef2/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d6a656c6c79666973682e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-jellyfish.svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-jellyfish/releases"><img src="https://camo.githubusercontent.com/13a248cf10fa13fb53cb22841b0065f965423a4e0f5c17d19673603b2baca376/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d6a656c6c79666973683f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-jellyfish?include_prereleases&amp;label=changelog" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-jellyfish/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-jellyfish/workflows/Test/badge.svg" alt="Tests" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-jellyfish/blob/main/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d417061636865253230322e302d626c75652e737667" alt="License" data-canonical-src="https://img.shields.io/badge/license-Apache%202.0-blue.svg" style="max-width:100%;"></a></p> <p>Datasette plugin that adds custom SQL functions for fuzzy string matching, built on top of the <a href="https://github.com/jamesturk/jellyfish">Jellyfish</a> Python library by James Turk and Michael Stephens.</p> <p>Interactive demos:</p> <ul> <li><a href="https://latest-with-plugins.datasette.io/fixtures?sql=SELECT%0D%0A++++soundex%28%3As%29%2C+%0D%0A++++metaphone%28%3As%29%2C+%0D%0A++++nysiis%28%3As%29%2C+%0D%0A++++match_rating_codex%28%3As%29&amp;s=demo" rel="nofollow">soundex, metaphone, nysiis, match_rating_codex comparison</a>.</li> <li><a href="https://latest-with-plugins.datasette.io/fixtures?sql=SELECT%0D%0A++++levenshtein_distance%28%3As1%2C+%3As2%29%2C%0D%0A++++damerau_levenshtein_distance%28%3As1%2C+%3As2%29%2C%0D%0A++++hamming_distance%28%3As1%2C+%3As2%29%2C%0D%0A++++jaro_similarity%28%3As1%2C+%3As2%29%2C%0D%0A++++jaro_winkler_similarity%28%3As1%2C+%3As2%29%2C%0D%0A++++match_rating_comparison%28%3As1%2C+%3As2%29%3B&amp;s1=barrack+obama&amp;s2=barrack+h+obama" rel="nofollow">distance functions comparison</a></li> </ul> <p>Examples:</p> <div class="snippet-clipboard-content position-relative" data-snippet-clipboard-copy-content="SELECT soundex(&quot;hello&quot;); -- Outputs H400 SELECT metaphone(&quot;hello&quot;); -- Outputs HL SELECT nysiis(&quot;hello&quot;); -- Outputs HAL SELECT match_rating_codex(&quot;hello&quot;); -- Outputs HLL SELECT porter_stem(&quot;running&quot;); -- Outputs run SELECT levenshtein_distance(&quot;hello&quot;, &quot;hello world&quot;); -- Outputs 6 SELECT damerau_levenshtein_distance(&quot;hello&quot;, &quot;hello world&quot;); -- Outputs 6 SELECT hamming_distance(&quot;hello&quot;, &quot;hello world&quot;); -- Outputs 6 SELECT jaro_similarity(&quot;hello&quot;, &quot;hello world&quot;); -- Outputs 0.8181818181818182 SELECT jaro_winkler_similarity(&quot;hello&quot;, &quot;hello world&quot;); -- Outputs 0.890909090909091 SELECT match_rating_comparison(&quot;hello&quot;, &quot;helloo&quot;); -- Outputs 1 "><pre><code>SELECT soundex("hello"); -- Outputs H400 SELECT metaphone("hello"); -- Outputs HL SELECT nysiis("hello"); -- Outputs HAL SELECT match_rating_codex("hello"); -- Outputs HLL SELECT porter_stem("running"); -- Outputs run SELECT levenshtein_distance("hello", "hello world"); -- Outputs 6 SELECT damerau_levenshtein_distance("hello", "hello world"); -- Outputs 6 SELECT hamming_distance("hello", "hello world"); -- Outputs 6 SELECT jaro_similarity("hello", "hello world"); -- Outputs 0.8181818181818182 SELECT jaro_winkler_similarity("hello", "hello world"); -- Outputs 0.890909090909091 SELECT match_rating_comparison("hello", "helloo"); -- Outputs 1 </code></pre></div> <p>See <a href="https://jellyfish.readthedocs.io/en/latest/" rel="nofollow">the Jellyfish documentation</a> for an explanation of each of these functions.</p> </article></div>            

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