#1
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/FinanceAlternatives
Pandapy alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Pandapy
PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)
49
Quality
74
Trust
547
Stars
#2
阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构
18K starsJan 24, 2026 pushfinancePythonTrading
$ npx skills add bbfamily/abu#3
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#4
Code for Machine Learning for Algorithmic Trading, 2nd edition.
19K starsJun 12, 2026 pushfinanceJupyter NotebookFinance
$ npx skills add stefan-jansen/machine-learning-for-trading#5
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#6
Data Apps & Dashboards for Python. No JavaScript Required.
24K starsJun 11, 2026 pushfinancePythonFinance
$ npx skills add plotly/dash#7
Introducing neural networks to predict stock prices
772 starsAug 3, 2019 pushfinancePythonFinance
$ npx skills add VivekPa/IntroNeuralNetworks#8
modular quant framework.
4.2K starsApr 13, 2026 pushfinancePythonFinance
$ npx skills add zvtvz/zvt#9
Using python and scikit-learn to make stock predictions
1.9K starsJun 17, 2024 pushfinancePythonFinance
$ npx skills add robertmartin8/MachineLearningStocks#10
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
20K starsJun 1, 2026 pushfinanceJupyter NotebookFinance
$ npx skills add AI4Finance-Foundation/FinGPT#11
TradingAgents: Multi-Agents LLM Financial Trading Framework
86K starsJun 14, 2026 pushfinancePythonFinance
$ npx skills add TauricResearch/TradingAgents#12
Financial data platform for analysts, quants and AI agents.
69K starsJun 18, 2026 pushfinancePythonFinance
$ npx skills add OpenBB-finance/OpenBB#13
A python wrapper for Alpha Vantage API for financial data.
4.8K starsJun 7, 2026 pushfinancePythonFinancial Data
$ npx skills add RomelTorres/alpha_vantage#14
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
1.7K starsJun 1, 2026 pushfinancePythonCrypto Trading
$ npx skills add asavinov/intelligent-trading-bot#15
Portfolio analytics for quants, written in Python
7.3K starsJan 13, 2026 pushfinancePythonFinance
$ npx skills add ranaroussi/quantstats#16
专业的金融数据获取工具库 - A Professional Financial Data Fetching Toolkit for Python
854 starsApr 27, 2026 pushfinancePythonFinance
$ npx skills add finvfamily/finshareHow 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 Pandapy 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.