#1
基于Python的开源量化交易平台开发框架
42K starsMay 17, 2026 pushfinancePythonQuant
$ npx skills add vnpy/vnpyAlternatives
Quantdom alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Quantdom
Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:]
55
Quality
77
Trust
768
Stars
#2
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.
44K starsApr 22, 2026 pushfinancePythonFinance
$ npx skills add microsoft/qlib#3
Portfolio analytics for quants, written in Python
7.3K starsJan 13, 2026 pushfinancePythonFinance
$ npx skills add ranaroussi/quantstats#4
modular quant framework.
4.2K starsApr 13, 2026 pushfinancePythonFinance
$ npx skills add zvtvz/zvt#5
Algorithmic Trading in Python with Machine Learning
3.4K starsMay 11, 2026 pushfinancePythonFinance
$ npx skills add edtechre/pybroker#6
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
5.8K starsJun 8, 2026 pushfinanceJupyter NotebookFinance
$ npx skills add PyPortfolio/PyPortfolioOpt#7
A curated list of practical financial machine learning tools and applications.
8.6K starsJan 3, 2025 pushfinancePythonFinance
$ npx skills add firmai/financial-machine-learning#8
An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎
1.1K starsSep 14, 2025 pushfinancePythonFinance
$ npx skills add santoshlite/EigenLedger#9
Open-source Rust framework for building event-driven live-trading & backtesting systems
2.2K starsJun 6, 2026 pushfinanceRustFinance
$ npx skills add barter-rs/barter-rs#10
The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
7.9K starsJun 10, 2026 pushfinancePythonFinance
$ npx skills add polakowo/vectorbt#11
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
3.9K starsMar 26, 2026 pushfinancePythonFinance
$ npx skills add shashankvemuri/Finance#12
Open Source Algo Trading Platform for Everyone
2.0K starsJun 14, 2026 pushfinancePythonFinance
$ npx skills add marketcalls/openalgo#13
Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and real brokers.
1.7K starsJun 13, 2026 pushfinancePythonFinance
$ npx skills add Lumiwealth/lumibot#14
入门资料整理：1.多因子股票量化框架开源教程 2.学界和业界的经典资料收录 3.AI + 金融的相关工作，包括LLM, Agent, benchmark(evaluation), etc.
1.5K starsJun 16, 2026 pushfinancePythonFinance
$ npx skills add Barca0412/Introduction-to-Quantitative-Finance#15
Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.
1.3K starsJun 18, 2026 pushfinancePythonFinance
$ npx skills add coding-kitties/investing-algorithm-framework#16
The Official Python SDK for Alpaca API
1.4K starsJun 9, 2026 pushfinancePythonFinance
$ npx skills add alpacahq/alpaca-pyHow to choose
When should you switch?
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 Quantdom if it already passes your workflow test and repository review.
Next step
Compare top candidates side by side
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.