WebAssembly bindings for OxiLLaMa GGUF parsing and quantization
Pi extension package for a sequential ML/algo-trading quant agent chain.
The Brain Layer for AI Trading Agents — composite quant calls across 5 exchanges (Hyperliquid, Binance, Bybit, OKX, Bitget), cross-venue arb, regime-aware classification, and a 20-skill catalog via MCP.
WhyJ Quant — Interactive AI-powered quantitative analysis terminal
Quantum-resistant (ML-DSA-65 / FIPS 204) Account implementation for XYO Protocol 2.0
A Pulumi package for managing QuantCDN resources.
Deploy tools for QuantCDN
OpenAPI client for @quantcdn/quant-client
Bybit Quant MCP server for Claude Desktop, Claude Code, and Cursor. Trade and analyse Bybit V5 linear/inverse perpetuals, spot, options (Greeks + IV scanning), and TradFi (xStocks, stock & commodity perps) with market regime detection, OI divergence scann
Small, hand-written, composable modules for pi-agent — inspired by mini.nvim, focused on simple, predictable building blocks for coding agents.
The Quant-UX-CLI tool allwos you to generate code out of your Quant-UX designs. Create a design at http://v2.quant-ux.com and run the cli to generate, CSS, HTML and Vue.js code
Quantum-resistant (ML-DSA-65 / FIPS 204) HD Wallet using BIP-85 entropy derivation for XYO Protocol 2.0
Smart contracts for the Quant Protocol.
One-stop quant-trading AI agent for any coding assistant — MCP server + CLI
量投UI
[](https://nodei.co/npm/osr-quant/) ###How to use npm install osr-quant
Working crypto quant trading js
Ce projet constitue un formulaire d'inscription avec validation et tests, déployé sur Github Pages. Il contient les champs suivants : nom, prénom, email, date de naissance, ville, code postal.
cds-quant
**`Quant Beat`** is a simple logger that wraps around [lugg](https://github.com/aexmachina/lugg "lugg") which is in itself, a simple wrapper around [bunyan](https://github.com/trentm/node-bunyan "bunyan") (a powerful logging framework). **`Quant Beat`**
D3 library for quantitative analytics
KIS (Korea Investment & Securities) trading plugin for AI coding agents — strategy design, backtesting, and order execution via natural language
MCP server that exposes Mneme to Claude Code, Cursor, Continue, and other AI clients
Node-Quant is a powerful Node.js package for developing and testing quantitative trading strategies in cryptocurrency markets, offering tools for backtesting and performance analysis.
Quantization kernels for all GGUF quantization types
Pure Rust LLM inference engine — the sovereign alternative to llama.cpp (meta crate)