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The QuantLib C++ library

License: Other

CMake 0.01% C++ 98.88% Makefile 0.45% CSS 0.01% HTML 0.01% M4 0.12% Shell 0.01% C 0.53% Batchfile 0.01%

quantlib's Introduction

QuantLib: the free/open-source library for quantitative finance

The QuantLib project (http://quantlib.org) is aimed at providing a comprehensive software framework for quantitative finance. QuantLib is a free/open-source library for modeling, trading, and risk management in real-life.

QuantLib is Non-Copylefted Free Software and OSI Certified Open Source Software.

Download and usage

QuantLib can be downloaded from http://quantlib.org/download.shtml; installation instructions are available at http://quantlib.org/install.shtml for most platforms.

Documentation for the usage and the design of the QuantLib library is available from http://quantlib.org/docs.shtml.

A list of changes for each past versions of the library can be browsed at http://quantlib.org/reference/history.html.

Questions and feedback

Bugs can be reported as a GitHub issue at https://github.com/lballabio/QuantLib/issues; if you have a patch available, you can open a pull request instead (see "Contributing" below).

You can also use the quantlib-users and quantlib-dev mailing lists for feedback, questions, etc. More information and instructions for subscribing are at http://quantlib.org/mailinglists.shtml.

Contributing

The easiest way to contribute is through pull requests on GitHub. Get a GitHub account if you don't have it already and clone the repository at https://github.com/lballabio/QuantLib with the "Fork" button in the top right corner of the page. Check out your clone to your machine, code away, push your changes to your clone and submit a pull request; instructions are available at https://help.github.com/articles/fork-a-repo. (In case you need them, more detailed instructions for creating pull requests are at https://help.github.com/articles/using-pull-requests, and a basic guide to GitHub is at https://guides.github.com/activities/hello-world/.

It's likely that we won't merge your code right away, and we'll ask for some changes instead. Don't be discouraged! That's normal; the library is complex, and thus it might take some time to become familiar with it and to use it in an idiomatic way.

We're looking forward to your contributions.

quantlib's People

Contributors

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