Search results
547 packages found
Sort by: Default
- Default
- Most downloaded this week
- Most downloaded this month
- Most dependents
- Recently published
Efficient implementation of Levenshtein algorithm with locale-specific collator support.
Measure the difference between two strings using the Levenshtein distance algorithm
- leven
- levenshtein
- distance
- algorithm
- string
- difference
- diff
- fast
- fuzzy
- similar
- similarity
- compare
- comparison
- edit
- View more
Damerau - Levenshtein distance by The Spanish Inquisition + relative distance
Match human-quality input to potential matches by edit distance.
Fastest Levenshtein distance implementation in JS.
- levenshtein
- distance
- fast
- fastest
- edit
- string
- similarity
- algorithm
- match
- comparison
- fuzzy
- search
- matching
- similar
- View more
turf distance module
The most efficient JS implementation calculating the Levenshtein distance, i.e. the difference between two strings.
- levenshtein
- distance
- algorithm
- algo
- string
- difference
- diff
- fast
- fuzzy
- similar
- similarity
- compare
- comparison
- edit
- View more
turf rhumb-distance module
turf rhumb-destination module
[![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
- View more
turf destination module
turf point-to-line-distance module
Levenshtein edit distance
turf length module
turf line-slice module
turf along module
Get signed distance field for a svg path
Array / Arraylike utilities
a library for matching human-quality input to a list of potential matches using the Levenshtein distance algorithm
- closest
- compare
- comparison
- didyoumean
- diff
- difference
- distance
- edit
- find
- fuzzy
- leven
- levenshtein
- match
- matching
- View more
Compute the euclidean distance between two vectors