OpenBB
by OpenBB-finance
OpenBB: Open-Source Financial Data & Analysis Platform
Python-powered investment research terminal providing unified access to market data, analytics, and AI-driven insights for quants and developers.
- 59,103+ GitHub stars
- Built with Python
- Unified API for 100+ financial data sources across all major asset classes
- Other license
About This Project
OpenBB is a comprehensive open-source financial data platform that democratizes access to institutional-grade market intelligence. Built entirely in Python, it aggregates data from dozens of sources into a single, unified API, eliminating the need for multiple expensive subscriptions and fragmented workflows.
The platform excels at providing multi-asset class coverage spanning equities, options, cryptocurrencies, fixed income, derivatives, and macroeconomic indicators. Developers can programmatically retrieve historical prices, fundamental data, technical indicators, sentiment analysis, and alternative data through a consistent interface, making it ideal for building trading algorithms, portfolio analytics, and financial applications.
What sets OpenBB apart is its extensibility and AI-readiness. The modular architecture allows seamless integration with machine learning pipelines, while the structured data outputs are optimized for feeding AI agents and quantitative models. Whether you're backtesting strategies, conducting research, or building fintech products, OpenBB provides the data infrastructure without vendor lock-in.
With an active community of over 57,000 GitHub stars, OpenBB has become the go-to alternative to expensive Bloomberg terminals and proprietary platforms, offering transparency, customization, and cost-effectiveness that closed-source solutions cannot match.
Key Features
- Unified API for 100+ financial data sources across all major asset classes
- Built-in technical analysis, fundamental metrics, and economic indicators
- Native Python integration with pandas, NumPy, and ML frameworks
- AI-agent compatible structured outputs for autonomous financial analysis
- Extensible plugin architecture for custom data sources and analytics
How You Can Use It
Building algorithmic trading systems with multi-source market data feeds
Training machine learning models for price prediction and portfolio optimization
Creating custom financial dashboards and research tools for investment analysis
Developing AI agents that autonomously analyze markets and generate trading signals
Who Is This For?
Quantitative analysts, data scientists, fintech developers, algorithmic traders, and financial researchers seeking programmatic access to comprehensive market data