Eko

<p align="center"> <a href="https://eko.readthedocs.io/"><img alt="EKO" src="https://raw.githubusercontent.com/N3PDF/eko/master/doc/source/img/Logo.png" width=300></a> </p> <p align="center"> <a href="https://github.com/N3PDF/eko/actions/workflows/unittests.yml"><img alt="Tests" src="https://github.com/N3PDF/eko/actions/workflows/unittests.yml/badge.svg" /></a> <a href="https://github.com/N3PDF/eko/actions/workflows/unittests-rust.yml"><img alt="Rust tests" src="https://github.com/N3PDF/eko/actions/workflows/unittests-rust.yml/badge.svg" /></a> <a href="https://eko.readthedocs.io/en/latest/?badge=latest"><img alt="Docs" src="https://readthedocs.org/projects/eko/badge/?version=latest"></a> <a href="https://codecov.io/gh/NNPDF/eko"><img src="https://codecov.io/gh/NNPDF/eko/branch/master/graph/badge.svg" /></a> <a href="https://www.codefactor.io/repository/github/nnpdf/eko"><img src="https://www.codefactor.io/repository/github/nnpdf/eko/badge" alt="CodeFactor" /></a> </p>

EKO is a Python module to solve the DGLAP equations in N-space in terms of Evolution Kernel Operators in x-space.

Installation

EKO is available via

• PyPI: <a href="https://pypi.org/project/eko/"><img alt="PyPI" src="https://img.shields.io/pypi/v/eko"/></a>

pip install eko

• conda-forge:

conda install eko

Development

If you want to install from source you can run

git clone git@github.com:N3PDF/eko.git
cd eko
poetry install

To setup poetry, and other tools, see Contribution Guidelines.

Documentation

• The documentation is available here: <a href="https://eko.readthedocs.io/en/latest/?badge=latest"><img alt="Docs" src="https://readthedocs.org/projects/eko/badge/?version=latest"></a>
• To build the documentation from source install graphviz and run in addition to the installation commands

poe docs

Tests and benchmarks

• To run unit test you can do

poe tests

• Benchmarks of specific part of the code, such as the strong coupling or msbar masses running, are available doing

poe bench

• The complete list of benchmarks with external codes is available through ekomark: documentation

Citation policy

When using our code please cite

• our DOI: <a href="https://doi.org/10.5281/zenodo.3874237"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.3874237.svg" alt="DOI"/></a>
• our paper:

Contributing

• Your feedback is welcome! If you want to report a (possible) bug or want to ask for a new feature, please raise an issue: <a href="https://github.com/N3PDF/eko/issues"><img alt="GitHub issues" src="https://img.shields.io/github/issues/N3PDF/eko"/></a>
• If you need help, for installation, usage, or anything related, feel free to open a new discussion in the "Support" section
• Please follow our Code of Conduct and read the Contribution Guidelines