### talisman

popularStraightforward fuzzy matching, information retrieval and NLP building blocks for JavaScript.

Updated by @yomguithereal

### wink-distance

popularDistance/Similarity functions for Bag of Words, Strings, Numbers, Dates and Vectors.

Updated by @sanjaya

### @signalprocessing/windows

The Signal Processing Windows module contains several windowing functions.

Updated by @saygiliy15

### fft-windowing-ts

Applies a windowing function to an array of data, making it ready to be FFT'd.

Updated by @khems

### imglookalike

small module to calculate if 2 images look alike using perceptual hash Hamming distance and Levenshtein distance

Updated by @boujufrancoispro

### spectral-analysis

TypeScript library spectral analysis such as PSD and FFT. For calculating FFT, this package uses kissfft-js. This package extends it to make it easier to use and combines it with …

Updated by @khems

### hamming-distance

popularCalculate the hamming distance of two hex strings or buffers

Updated by @jongleberry

### bktree-fast

As an example, a common strategy for de-duplicating images is to compute perceptual hashes for each of the images and compare those hashes with each other. Such hashes are small …

Updated by @hexten

### distance-calc

A JS module for calculating several distances between two (n-dimensional) points

Updated by @pataiadam

### signal-windows

Node.js implementation of a sample framer (Array or Buffer) and signal windowing functions (e.g. Hamming).

Updated by @joshjung

### hamming-lsh

An implementation of locality-sensitive hashing for Hamming space

Updated by @kasperisager

### hmsearch

Efficiently find hashes within a certain hamming distance, typically used for perceptual hashing.

Updated by @commonsmachinery

### is-in-hamming-distance

Returns true if the hamming distance between two strings or arrays of equal length is smaller than the given limit

Updated by @guilhermehn

### fft-windowing

Applies a windowing function to an array of data, making it ready to be FFT'd.

Updated by @richardeoin