KD-tree implementation targeting WebAssembly, written in Rust and taylored for Node.js environments.
A basic but super fast JavaScript implementation of the k-dimensional tree data structure.
Efficient implementation of Levenshtein algorithm with locale-specific collator support.
Fast deep equal
Fastest deep equal comparison for React. Great for React.memo & shouldComponentUpdate. Also really fast general-purpose deep comparison.
A kdtree data structure
Property based testing framework for JavaScript (like QuickCheck)
React is a JavaScript library for building user interfaces.
Validate XML, Parse XML, Build XML without C/C++ based libraries
CSV parser and writer
fast-csv formatting module
fast-csv parsing package
Dependency-free RFC 3986 URI toolbox
deterministic `JSON.stringify()` - a faster version of substack's json-stable-strigify without jsonify
Build XML from JSON without C/C++ based libraries
A fast and minimal alternative to globby and fast-glob
fork of fast-memoize and support esm
Force V8 to use fast properties for an object
Parse HTTP Content-Type header according to RFC 7231
Build and manage the fast-json-stringify instances for the fastify framework
Stringify your JSON at max speed
PNG image decoder and encoder written entirely in JavaScript
Fast Javascript text diff
TypeScript definitions for static-kdtree
A kdtree is a data structure that makes it possible to quickly solve the nearest neighbor problem. This is a native 2d kdtree suitable for production use with millions of points.
Blazingly fast 2d kdtree.
KDTree updated for Ruby 1.9.x
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