A simple kNN library for Machine Learning, comparing JSON objects using Euclidean distances, returning top k similar objects -- supports normalization, weights, key and filter parameters

Calculate euclidean distances of edges for graphology

Compute the euclidean distance between two vectors

Get signed distance field for a svg path

Image Quantization Library in **TypeScript** *(MIT Licensed)*

A simple kNN library for Machine Learning, comparing JSON objects using Euclidean distances, returning top k similar objects -- supports normalization, weights, key and filter parameters

See this [Observable notebook](https://beta.observablehq.com/@danburzo/color-difference-formulas-with-d3-color-difference) for a demonstration.

Calculate SDF for image/bw-data/array

Computes the L2 norm (Euclidean norm) of an array of values.

Calculate the influence or weight of points over an area based on their distances.

Calculate the Euclidean distance been two points in 2D/3D/nD space.

A collection of fast approximations to common geographic measurements.

Compute the squared Euclidean distance between two double-precision floating-point strided arrays.

Intl.LocaleMatcher ponyfill

igc-xc-score is a paragliding and hang-gliding XC scoring program in vanilla JS

Give me a color and I'll name it.

Solves the traveling salesman problem using simulated annealing.

Compute the Euclidean distance between two double-precision floating-point strided arrays.

Calculates the Levenshtein (edit) distance between two strings.

Leaflet Plugin to measure distances of simple lines as well as of complex polylines