pip install QuantLib Copy PIP instructions · Latest version · Released: Apr 17, 2026 · Python bindings for the QuantLib library · These details have been verified by PyPI · lballabio · These details have not been verified by PyPI · Homepage · License: BSD-3-Clause ·

cd QuantLib-SWIG-1.36\Python python -m build --wheel · This will create a binary wheel in the dist directory. To check that it works, run ... Once you're done, you can take the wheel and install it with pip in the environment of your choice.

This module is provided for backward compatibility. Use “pip install QuantLib” instead.

tar xzf QuantLib-SWIG-1.36.tar.gz This creates a folder QuantLib-SWIG-1.36; enter it and configure QuantLib by executing: ... This will create a binary wheel in the dist directory. To check that it works, run ... Once you're done, you can take the wheel and install it with pip in the environment of your choice.

tar xzf QuantLib-SWIG-1.36.tar.gz This creates a folder QuantLib-SWIG-1.36; enter it and configure QuantLib by executing: ... This will create a binary wheel in the dist directory. To check that it works, run ... Once you're done, you can take the wheel and install it with pip in the environment of your choice.

Official binary distributions are available for Python and C#; these should be preferred, unless you want to modify the library. Wheels are available for all common platforms and a few less common ones. To install QuantLib in your (virtual) environment, run: pip install QuantLib ·

pip install --upgrade QuantLib · If you use conda, the conda-forge channel typically provides QuantLib packages. Example: conda install conda-forge::quantlib · Note: package names on conda-forge can vary (e.g. “quantlib” or “quantlib-python”). If the command above does not find a package, search the conda-forge index or use the Anaconda Navigator UI.

QuantLib-Python Object Building Documentation · View page source · Contents: Getting Started · Installation · Prerequisites · Using a virtual environment (recommended) Install with pip · Conda (alternative) Importing · Reference · Basics · Array · Matrix ·

python3 -m pip install pytest python3 -m pytest quantpylib/tests For more verbose test information, run

August 31, 2019 - Python bindings for the QuantLib library · Homepage PyPI · License · BSD-3-Clause · Install · pip install QuantLib==1.38 · Dependencies · 0 · Dependent packages · 22 · Dependent repositories · 7 · Total releases · 25 · Latest release · about 2 months ago ·

May 9, 2021 - cd D:\tradingtools\QuantLib-SWIG-1.21\Python python setup.py bdist_wheel cd dist pip install QuantLib-1.21-cp37-cp37m-win_amd64.whl

June 6, 2020 - [Update (15/5/20)]: Luigi Ballabio shares that Python users may now install precompiled QL-Python directly from pip, requiring neither base (C++) QuantLib build, nor any other additional steps:

Compilation instructions are available for Microsoft Visual C++, Mac OS X and Linux/Unix. Alternatively, you can build QuantLib on all platforms following the CMake build instructions. Instructions for creating a Python wheel are available for Windows, Mac OS X and Linux/Unix.

3 weeks ago - Install quantlib-python with Anaconda.org. The python wrapper of QuantLib.

This repository builds QuantLib ... elements from QuantLib-SWIG and is kept in sync with it. You can install it as: pip install QuantLib-Risks ·...

Pre-built Python-QuantLib from pip.

QuantLib-Python (hereafter QuantLib) can be easily installed via pip:

QuantLib and QuantLib-SWIG source code e.g. QuantLib-1.8.zip, QuantLib-SWIG-1.8.zip · Install Anaconda Python3 for Linux x64. At the end, remember to allow adding the Anaconda directory to your bash shell PATH environment variable.

Python bindings for the QuantLib library · Licenses: BSD-3-Clause · Published: 6 years ago Last updated: 2 months ago Latest version: 1.41 Latest non-vulnerable version: 1.41 · pip · GitHub · 85/100 · Share package health information · securityNo known security issues ·