The QuantLib C++ library
$ npx skills add lballabio/QuantLibAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Python wrapper for TA-Lib (http://ta-lib.org/).
The QuantLib C++ library
$ npx skills add lballabio/QuantLib量化研究-券商金工研报复现
$ npx skills add hugo2046/QuantsPlaybook基于深度强化学习的开源自动因子工厂。
$ npx skills add imbue-bit/AlphaGPTA extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
$ npx skills add ricequant/rqalpha基于Python的开源量化交易平台开发框架
$ npx skills add vnpy/vnpyQUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案
$ npx skills add yutiansut/QUANTAXISTradingAgents: Multi-Agents LLM Financial Trading Framework
$ npx skills add TauricResearch/TradingAgentsFinancial data platform for analysts, quants and AI agents.
$ npx skills add OpenBB-finance/OpenBBQlib 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.
$ npx skills add microsoft/qlib30天掌握量化交易 (持续更新)
$ npx skills add Rockyzsu/stock[🔥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
$ npx skills add UFund-Me/Qbot天勤量化开发包, 期货量化, 实时行情/历史数据/实盘交易
$ npx skills add shinnytech/tqsdk-pythonA股自动选股系统 — 多种技术形态自动扫描,收盘后自动运行并推送飞书
$ npx skills add sngyai/Sequoia-Xstock股票.获取股票数据,计算股票指标,筹码分布,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。
$ npx skills add myhhub/stockAlgorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
$ npx skills add StockSharp/StockSharpAn advanced crypto trading bot written in Python
$ npx skills add jesse-ai/jesseHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Ta Lib Python if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.