JSPM

A string similarity function using the Jaro-Winkler distance metric.

A string similarity utility that uses the Jaro-Winkler algorithm

A robust name matching library combining multiple algorithms for optimal performance

Compare strings with best suitable algorithm for your need

Javascript version of hermetrics.py

CmpStr is a lightweight, fast and well performing package for calculating string similarity

Get string similarity in JavaScript or TypeScript

Simple CLI wrapper for the CmpStr package to normalize and compare strings directly via terminal

Collection complète d'algorithmes de similarité textuelle et moteur de génération aléatoire avancé

High-performance and memory efficient native C++ text similarity algorithms for Node.js

For private use.

A TypeScript library for string similarity comparison

General natural language (tokenizing, stemming (English, Russian, Spanish), classification, inflection, phonetics, tfidf, WordNet, jaro-winkler, Levenshtein distance, Dice's Coefficient) facilities for node.

General natural language (tokenizing, stemming (English, Russian, Spanish), classification, inflection, phonetics, tfidf, WordNet, jaro-winkler, Levenshtein distance, Dice's Coefficient) facilities for node.

General natural language (tokenizing, stemming (English, Russian, Spanish), classification, inflection, phonetics, tfidf, WordNet, jaro-winkler, Levenshtein distance, Dice's Coefficient) facilities for node.

jaro-lib library provides optimized jaro and jaro-winkler algorithms

Memorize: natural language processing module

Effortless and fast string similarity comparison using multiple algorithms, including bigrams, Levenshtein, Jaro-Winkler, and Ratcliff/Obershelp. Perfect for fuzzy search, NLP, and intelligent text matching.

Compare two strings and return the Jaro-Winkler similarity score.