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  • License MIT

Search for approximate matches to a query

Package Exports

  • haystack-search

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (haystack-search) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

Haystack

npm npm

Overview

Haystack is a lightweight search / suggestion library that can be used to find similar matches to a word. Just provide the source data to search against (as an array or object), and Haystack will return a list of approximate matches. The lower the flexibility the more strict your matches will be.

Installation

Using npm:

npm i haystack-search

Import Haystack into your project:

import Haystack from 'haystack-search';
// or
const Haystack = require('haystack-search');
const haystack = new Haystack(options);

Options

Option Default Description
flexibility (number) 2 "Fuzziness" of search. The lower the number, the more strict your matches will be. (If set to 0, Haystack will only look for perfect matches)
caseSensitive (boolean) false Whether or not search is case sensitive
exclusions (array) [] An array of strings or regexes to ignore in query
ignoreStopWords (boolean) false Ignore common stop words such as the, a, in, etc.
stemming (boolean) false Reduces tokens in a query to their base words using stemmer

Methods

haystack.search(searchTerm, source, [limit]);

Returns an array of matches within your flexibility range. If no limit is given, the default number of results will be 1.

haystack.tokenize(searchTerm, [delimiter]);

Returns an array of tokens. By default this splits on whitespaces, but you can define a custom delimiter to use instead.

Contributions

Contributions and suggestions for improvement are always welcome!

  1. Fork this repo (https://github.com/AlexanderLyon/Haystack/fork)
  2. Create your new feature branch
  3. Commit changes and push
  4. Create a new Pull Request

License

MIT