A free/open-source C++ library for modeling, trading, and risk management in quantitative finance.
QuantLib is a free/open-source C++ library designed for quantitative finance, providing tools for modeling, trading, and risk management in real-world financial applications. It solves the need for a comprehensive, accessible framework to price derivatives, analyze fixed-income securities, and manage financial risks. The library supports cross-platform development and is widely used in both academic and commercial settings.
Quantitative analysts, financial engineers, and developers working in banking, hedge funds, or fintech who need robust tools for financial modeling and risk management. It is also suitable for academics and students researching or teaching quantitative finance.
Developers choose QuantLib because it offers a free, open-source alternative to proprietary financial libraries, with extensive features for real-life quantitative finance tasks. Its non-copylefted license allows flexible use in commercial projects, and its active community and documentation provide strong support.
The QuantLib C++ library
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Supports pricing and analysis for a wide range of derivatives, fixed-income securities, and other products, as highlighted in the key features and comprehensive documentation.
Builds and runs on Linux, Windows, and macOS with CMake support, evidenced by the multiple build status badges and installation instructions for various platforms in the README.
Offers detailed guides for usage, design, and installation, with active mailing lists and GitHub support for questions and feedback, as referenced in the README.
Licensed under BSD 3-Clause, allowing free use, modification, and distribution in commercial projects, as stated in the philosophy and license badge.
Installation requires navigating external instructions and managing C++ dependencies, which can be daunting for new users, as indicated by the separate install page link and lack of one-click setups.
Demands proficiency in both C++ programming and advanced quantitative finance concepts, making it less accessible for developers without a strong background in either area.
For simple financial tasks, the library's comprehensive nature can be overly complex, with no streamlined APIs for basic operations without deep integration into C++ codebases.