Search results
95 packages found
A small, no-dependency package for normalizing time (hours, minutes, second) inputs from users.
Approximate (fuzzy) string matching just like you are used to from Sublime Text and others.
Simple fuzzy matching
Search 'palette' component for React, loosely based on MacOS Spotlight Search. Styled to look great out-of-box - pass through your own theme & elements. Autocomplete, search previews & more. Set to find exact and/or fuzzy matches.
Zero-dependency function that turns user-input time strings into a formatted time string
Do fuzzy matching using FZF algorithm in JavaScript
Search for a given subsequence in a list of strings and transform the resulting list as required
Run all your NPM scripts more easily with fuzzy matching
Fast and tiny fuzzy-search utility
A module to do string fuzzy search
provides functions for comparing and calculating the similarity between two strings using various methods.
- compare
- comparison
- didyoumean
- diff
- difference
- distance
- edit
- find
- fuzzy
- leven
- levenshtein
- match
- matching
- similar
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Fast aproximate string matching library for use in autocomplete, perform both search and highlight.
[![npm-version](https://img.shields.io/npm/v/levenary.svg)](https://www.npmjs.com/package/levenary) [![github-actions](https://github.com/tanhauhau/levenary/workflows/CI/badge.svg)](https://github.com/tanhauhau/levenary/actions)
- leven
- levenshtein
- distance
- array
- string
- algorithm
- algo
- difference
- diff
- fast
- fuzzy
- similar
- similarity
- compare
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String matching and ranking algorithm for autocomplete
Yet another javascript fuzzy matching library
Fuzzy match a command from a list (typo-safety)
Finds similar word(s) in a list of words
- leven
- levenshtein
- distance
- string
- difference
- diff
- suggest
- fuzzy
- similar
- similarity
- compare
- comparison
- edit
- text
- View more
The most efficient JS implementation calculating the Levenshtein distance, i.e. the difference between two strings.
FJS é uma biblioteca JavaScript que permite fazer buscas em um array de objetos com base em critérios de consulta flexíveis. Com o FJS, você pode realizar buscas complexas e precisas em seus dados usando operadores atômicos e operadores de busca avançados