# QuantLib-SWIG

**Repository Path**: fate83/QuantLib-SWIG

## Basic Information

- **Project Name**: QuantLib-SWIG
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: BSD-3-Clause
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-06-07
- **Last Updated**: 2024-06-07

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README


QuantLib-SWIG: language bindings for QuantLib
=============================================

[![Download source](https://img.shields.io/github/v/release/lballabio/QuantLib-SWIG?label=source&sort=semver)](https://github.com/lballabio/QuantLib-SWIG/releases/latest)
[![PyPI version](https://img.shields.io/pypi/v/quantlib?label=PyPI)](https://pypi.org/project/QuantLib)
![PRs Welcome](https://img.shields.io/badge/PRs%20-welcome-brightgreen.svg)
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.1441003.svg)](https://doi.org/10.5281/zenodo.1441003)
[![Build status](https://github.com/lballabio/QuantLib-SWIG/workflows/Linux%20build/badge.svg?branch=master)](https://github.com/lballabio/QuantLib-SWIG/actions?query=workflow%3A%22Linux+build%22)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/lballabio/QuantLib-SWIG/binder?urlpath=lab/tree/Python/examples)

---

QuantLib-SWIG provides the means to use QuantLib from a number of
languages; currently their list includes Python, C#, Java and R.

The QuantLib project (<https://www.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-SWIG can be downloaded from <https://www.quantlib.org/download.shtml>.

On Linux/Unix, you can run:

    ./configure
    make
    make check
    sudo make install

to build, test and install al modules. If you're only interested in a
specific language, you can tell make to only work in its subdirectory,
as in:

    make -C Python

Alternatively, you can cd to a specific subdirectory and follow the
instructions in its README file. This is also the procedure for
Windows users.


Questions and feedback
----------------------

Bugs can be reported as a GitHub issue at
<https://github.com/lballabio/QuantLib-SWIG/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 <https://www.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-SWIG> 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.