Algorithms to help you parse CSS from an array of tokens.
Xml digital signature and encryption library for Node.js
JWA implementation (supports all JWS algorithms)
Browser Compatible Object Hashing
various machine learning routines for node
Boyer-Moore-Horspool algorithms
Lightning fast hash functions for browsers and Node.js using hand-tuned WebAssembly binaries (MD4, MD5, SHA-1, SHA-2, SHA-3, Keccak, BLAKE2, BLAKE3, PBKDF2, Argon2, bcrypt, scrypt, Adler-32, CRC32, CRC32C, RIPEMD-160, HMAC, xxHash, SM3, Whirlpool)
Implementation of JSON Web Signatures
A JavaScript implementation of the JSON Object Signing and Encryption (JOSE) for current web browsers and node.js-based servers
Package implements data structures and algorithms for processing various types of graphs
Parse CSS media query lists.
Parse CSS Cascade Layer names.
Types and schema that specs of the Markup languages for markuplint
a fast vite compression plugin
Solve CSS math expressions
JSON Web Token implementation (symmetric and asymmetric)
Parse CSS color values
A Node.js module for the optimized JavaScript implementation of the MurmurHash algorithms.
Transform stream that decompress its input if it's compressed, and echoes it if not
A conversational AI-driven telecom multi-agent system for managing call balances, push notifications, marketing, targeting, and sales.
Native JS murmur hash implementation
A very basic crypto library
An astronomical library
Collection of check digit algorithms implemented in JavaScript
Production-ready quantum algorithms in Rust - VQE for chemistry, Grover's search, QAOA optimization, Surface Code error correction
Run quantum simulations in the browser - WebAssembly bindings for quantum circuits with 25-qubit support, VQE, Grover, QAOA
Experimental quantum-classical hybrid algorithms - quantum memory decay, interference search, reasoning error correction, swarm interference for AI systems
OSpipe: RuVector-enhanced personal AI memory system integrating with Screenpipe
High-performance quantum circuit simulator in pure Rust - state-vector simulation with SIMD acceleration, noise models, and multi-threading