bbfamily/abu Alternatives

choose if you need institutional-grade AI modeling and broader market coverage with Microsoft-backed maintenance, though it has a steeper learning curve.

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

choose if you need a modern AI-native platform with multi-agent research and active development covering crypto, stocks, and forex out of the box.

AI quantitative trading platform for crypto, stocks, and forex with backtesting, live trading, market data, and multi-agent research.vibe-trading ,trading-agents,ai-trader,ai-trading

choose if you want a modular, MIT-licensed framework with clean abstractions for data, factors, and backtesting, and lighter weight than abu.

modular quant framework.

choose if you prefer a simpler, AI-powered system with real-time processing and risk management, though it may have fewer market connectors.

A comprehensive quantitative trading system with AI-powered analysis, real-time data processing, and advanced risk management

choose if you need a complete, actively developed framework for development, backtesting, and deployment of trading algorithms with Apache-2.0.

Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.

choose if you need an extensible Chinese-market-focused framework with integrated factor mining and ML, similar to abu but under a permissive license.

FinHack®，一个易于拓展的量化金融框架，它在当前版本中集成了数据采集、因子计算、因子挖掘、因子分析、机器学习、策略编写、量化回测、实盘接入等全流程的量化投研工作。

choose if you want a fully local AI trading robot with a Jupyter-based research environment and a large community, though it is more research-oriented.

[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant

choose if you need ultra-fast backtesting thanks to a C++ core while still using Python, and want a well-maintained framework.

Hikyuu Quant Framework 基于C++/Python的超高速开源量化交易研究框架，同时可基于策略部件进行资产重用，快速累积策略资产。

choose if you need a focused, ML-first algorithmic trading library with walk-forward analysis, lighter than abu.

Algorithmic Trading in Python with Machine Learning

choose if you need robust live trading connectivity and an event-driven architecture for brokerage integration, whereas abu is more research-oriented.

基于Python的开源量化交易平台开发框架

choose if you want an AI-agent-based autonomous hedge fund with swarm intelligence, a different paradigm from traditional rule-based quant systems.

Build your autonomous hedge fund in minutes. AutoHedge harnesses the power of swarm intelligence and AI agents to automate market analysis, risk management, and trade execution.

choose if you specifically want reinforcement learning-based trading strategies and a research benchmark platform.

TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:

choose if you need a C++ high-frequency trading platform for ultra-low-latency execution, not suitable for Python-based research workflows.

高频量化交易平台 C++ Trade Platform for quant developer 【浮生着甚苦奔忙，量化之路阻且长。 行行代码凝心血，十年辛苦不寻常】

choose if you need a JVM-based trading framework in Kotlin/Java for integration with Java ecosystems.

Kotlin(Java)开源量化交易开发框架

choose if you want a lightweight C++ integrated trading/backtesting system for high-performance needs.

a light-weighted, integrated trading/backtesting system/platform（综合量化交易回测系统/平台）

choose if you focus exclusively on crypto trading and want a beginner-friendly, fast backtesting and live-trading bot; it lacks support for stocks/options.

An advanced crypto trading bot written in Python