Python toolkit for quantitative finance

A data visualization and analytics component, especially well-suited for large and/or streaming datasets.

高颜值第三方 B 站 React Native 客户端

A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎，预测万物

Open-source, desktop-grade AI agent that gets real work done — data analysis, slides, docs, video & web research. Built on OpenClaw; runs tools on your real desktop and takes commands from your pho…

Your AI trading terminal assistant for US stocks, commodities, forex, and crypto.

Solana Dex Transaction Parser. A TypeScript library for parsing Solana DEX swap transactions. Supports multiple DEX protocols including Jupiter, Raydium, Meteora, PumpFun, and Moonshot.

An open-source transaction parser for popular DeFi applications on the Solana blockchain 🚀🤖..

Kronos: A Foundation Model for the Language of Financial Markets

Python Backtesting library for trading strategies

🦀 Small exercises to get you used to reading and writing Rust code!

Web-Scale Blockchain for fast, secure, scalable, decentralized apps and marketplaces.

MEV-Boost allows Ethereum validators to source high-MEV blocks from a competitive builder marketplace

This is pump.fun bundler with jito. Open source Pumpfun bundler with jito

SDK for Hyperliquid API trading with Python.

A browser extension for automating your browser by connecting blocks

A Windows and Office activator using HWID / Ohook / KMS38 / Online KMS activation methods, with a focus on open-source code and fewer antivirus detections.

Fast, unopinionated, minimalist web framework for node.

中文游戏服务器资源大全

Incredibly fast JavaScript runtime, bundler, test runner, and package manager – all in one

GO Simple Tunnel - a simple tunnel written in golang

Community fork of PlayCover

Community fork of PlayCover

Browser fingerprinting tools for anonymizing your scrapers. Developed by Apify.

💯 Teach puppeteer new tricks through plugins.

Official Selenium website and documentation

JavaScript API for Chrome and Firefox

深度学习入门教程, 优秀文章, Deep Learning Tutorial

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06