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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

Overview:

Haystack is a simple search / suggestion plugin that doesn't require any dependencies to run. Just provide a way for your users to enter their query and the source data to search (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.

For an easy to implement UI version which includes a pre-built search field and suggestion dropdown, see Haystack UI

Installation:

Add Haystack to your project:

npm i haystack-search

Import Haystack into your script:

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

Options:

flexibility number -- "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 -- Whether or not search is case sensitive

exclusions string -- Add a string or regex to ignore in query

ignoreStopWords boolean -- Ignore common stop words such as the, a, in, etc.

stemming boolean -- Experimental, only removes "s" from end of words for now

Methods:

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

Returns either an array of matches within your flexibility range, or null if there are no matches. If no limit is given, the default number of results will be 1.

haystack.tokenize(searchTerm, [delimiter]);

By default this splits on whitespaces, but you can define a custom delimiter to use instead.

Features coming soon:

Contributions and suggestions for improvement are always welcome! Some features planned for future versions include:

  • Recursive object property searching

  • Improved stemming

License

MIT