damerau-levenshtein-distance

📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.

🦀📏 Rust library to compare strings (or any sequences). 25+ algorithms, pure Rust, common interface, Unicode support.

Distance related functions (Damerau-Levenshtein, Jaro-Winkler , longest common substring & subsequence) implemented as SQLite run-time loadable extension. Any UTF-8 strings are supported.

An efficient data structure for fast string similarity searches

Sequence clustering using k-means with dynamic time warping (DTW) and Damerau-Levenshtein distance as similarity measures

Cython implementation of true Damerau-Levenshtein algorithm.

This repo has been migrated to https://code.larus.se/lmas/Damerau-Levenshtein

NPM package that calculates synchronously or asynchronously the Damerau-Levenshtein distance between strings

A highly efficient, isomorphic, full-featured, multilingual text search engine library, providing full-text search, fuzzy matching, phonetic scoring, document indexing and more, with micro JSON state hydration/dehydration in-browser and server-side.

Comparison of a few algorithms for computing Damerau–Levenshtein distance

String.Search is a simple library to implement a full text search with given patterns.

🧸 Tiny optimal string alignment distance library

A simple NodeJS (NPM) module for weighted Damerau–Levenshtein distance.

IEnumerableCorrelater knows to compare two IEnumerables or strings. It returns the distance between them, and returns two arrays which represent their "best match". IEnumerableCorrelater can be used to create diff tools.

A parameterizable Damerau Levenshtein aligner in Java.

edit distance algos: levenshtien, damerau, and hamming code

AntiPlagiat for Tinkoff '23

Calculate the Damerau–Levenshtein distance between strings.

Cython extension modules for Levenshtein-distance, Jaro-Winkler-distance, Damerau-Levenshtein-distance, Hamming-distance

This repository implements a brute-force spellchecker utilizing the Damerau-Levenshtein edit distance.