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GooFit fitting package

Project description

# GooFit for Python

GooFit is a highly parallel fitting framework originally designed for High Energy Physics.

## Installation

This package can be installed with pip, but uses SciKit-Build, and is build, fully optimized, on your system. Because of this, there are a few caveats when running a pip install. Make sure you have SciKit-Build (pip install scikit-build) before you attempt an install. Also, if you don’t have a recent version of CMake (3.8 or better recommended), also run pip install cmake. When you build, you should also use pip’s -v flag, so that you can see it build (and observe the configuration options). Otherwise, you might wait a very long time without output (especially if CUDA was found).

In practice, this looks like this:

pip install scikit-build cmake pip install -v goofit

## Building a source package from git

For developers:

To make a source package, start with a clean (such as new) git GooFit package with all submodules checked out.

git clone –branch=master –recursive –depth=10 git@github.com:GooFit/GooFit.git cd goofit python setup.py sdist twine upload dist/*

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goofit-2.1.0.dev1.tar.gz (3.9 MB view hashes)

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