#1
Code for Machine Learning for Algorithmic Trading, 2nd edition.
19K starsJun 12, 2026 pushfinanceJupyter NotebookFinance
$ npx skills add stefan-jansen/machine-learning-for-tradingAlternatives
Deltapy alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Deltapy
DeltaPy - Tabular Data Augmentation (by @firmai)
49
Quality
72
Trust
557
Stars
#2
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#3
Python training for business analysts and traders
14K starsJul 17, 2024 pushfinanceJupyter NotebookFinance
$ npx skills add jpmorganchase/python-training#4
Data Apps & Dashboards for Python. No JavaScript Required.
24K starsJun 11, 2026 pushfinancePythonFinance
$ npx skills add plotly/dash#5
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#6
[🔥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
18K starsMar 11, 2026 pushfinanceJupyter NotebookFinance
$ npx skills add UFund-Me/Qbot#7
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#8
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
1.8K starsMar 1, 2024 pushfinanceJupyter NotebookMarket Data
$ npx skills add LastAncientOne/Deep_Learning_Machine_Learning_Stock#9
FinRobot: An Open-Source AI Agent Platform for Financial Analysis using LLMs 🚀 🚀 🚀
7.3K starsMay 10, 2026 pushfinanceJupyter NotebookFinance
$ npx skills add AI4Finance-Foundation/FinRobot#10
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
3.0K starsMay 26, 2026 pushfinanceJupyter NotebookFinance
$ npx skills add domokane/FinancePy#11
fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
1.8K starsSep 15, 2023 pushfinanceJupyter NotebookFinance
$ npx skills add enzoampil/fastquant#12
Open source, composable payments platform | PCI compliant | SaaS and Self-host options | Enables connectivity to multiple payment, payout, fraud, vault and tokenization providers | Uplifts authorization with intelligent routing and revenue recovery | Reduce payment processing costs with cost observability | Reduces payment ops with reconciliation
43K starsJun 14, 2026 pushfinanceRustFinance
$ npx skills add juspay/hyperswitch#13
TradingAgents: Multi-Agents LLM Financial Trading Framework
86K starsJun 14, 2026 pushfinancePythonFinance
$ npx skills add TauricResearch/TradingAgents#14
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#15
A local-first personal finance app
27K starsJun 14, 2026 pushfinanceTypeScriptFinance
$ npx skills add actualbudget/actual#16
Financial data platform for analysts, quants and AI agents.
69K starsJun 15, 2026 pushfinancePythonFinance
$ npx skills add OpenBB-finance/OpenBBHow 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 Deltapy 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.