QuantLib
QuantLib: A free modeling library for quantitative finance, not a trading or backtesting platform. Ranked #18 of 18 in Quant Tools by our editors (7.3/10); pricing: Free plan; best for developers building financial models.
At a glance
- Editor score7.3 / 10
- PricingFree plan
- Best forDevelopers building financial models
- Free planYes
- Paid fromFree
- Live trade executionNo
- Facts checked24 Sep 2026
Where it wins
- C++ framework for financial, trading and risk-management models
- Bindings for C#, Java, Python and R, plus an official Python distribution
- Monte Carlo path generation for quantitative modeling
Where it doesn't
- No backtesting, live trading or paper trading features
- No historical market data feature
- Self-hosted library with community support
Our verdict on QuantLib
QuantLib is an open-source software framework for quantitative finance, aimed at quantitative analysts, developers, academics and practitioners building financial models. Its C++ object-oriented library supports financial modeling, trading-related models and risk management, with bindings for C#, Java, Python and R. It is intended for research and financial work, including pricing and risk-management applications, rather than as a hosted retail trading product.
The library’s breadth is in modeling: alongside its core C++ implementation and language bindings, QuantLib includes Monte Carlo path generation, and the project provides an official Python distribution. That makes it relevant when a team wants to incorporate quantitative finance models into software written in supported languages. Its platform availability spans Windows, macOS and Linux, while deployment is self-hosted. Buyers should expect to work with a developer-oriented library and its documentation rather than a managed platform.
QuantLib is free and open source, with community support. It is a fit for developers and organizations that need a reusable modeling foundation and can build their own surrounding workflows. It should not be the choice for someone seeking built-in backtesting, live or paper trading, or historical market data: those are not product features described here. Teams looking specifically for a trading platform or packaged backtesting workflow should consider a tool designed for those jobs instead.
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QuantLib pricing
QuantLib fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Strategy backtesting | No |
| Live trade execution | No |
| Paper trading | No |
| Asset classes | Not verified |
| Strategy languages | C++, C#, Java, Python, R |
| Historical data access | No |
| Deployment | Self-hosted |
| Platforms | Windows, macOS, Linux |
| Support | Community |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Pricing | Free plan |
| Website | quantlib.org |
| Facts checked | 24 Sep 2026 |
Alternatives to QuantLib
- QuantConnectA multi-asset research and trading workflow with backtesting, paper trading, and live deployment.9.3
- ProRealTimeMulti-platform charting, backtesting and automated trading through broker partners.9.0
- BacktraderA free, open-source Python framework for strategy research and broker-connected trading.8.8
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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