semvec/pypi-packages huggingface dataset:
feynamp 0.0.12
Compute Feynman diagrams
Requires Python: <4.0,>=3.8

# FeynAmp

[![PyPI version][pypi image]][pypi link] [![PyPI version][pypi versions]][pypi link]  ![downloads](https://img.shields.io/pypi/dm/feynamp.svg) [![DOI](https://zenodo.org/badge/672782644.svg)](https://zenodo.org/doi/10.5281/zenodo.11091561)

[![test][a t image]][a t link]      [![Coverage Status][c t i]][c t l]  [![Codacy Badge](https://app.codacy.com/project/badge/Coverage/b7192679265b441cb534c9dc06d1b350)](https://app.codacy.com/gh/APN-Pucky/feynamp/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_coverage)   [![Codacy Badge](https://app.codacy.com/project/badge/Grade/b7192679265b441cb534c9dc06d1b350)](https://app.codacy.com/gh/APN-Pucky/feynamp/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_grade)


Convert [feynml](https://github.com/APN-Pucky/feynml) Feynman diagrams to [sympy](https://github.com/sympy/sympy) amplitudes. They can be evaluated via [matrixelement](https://github.com/APN-Pucky/matrixelement).

## Related

* Mathematica:
  * FormCalc https://feynarts.de/formcalc/
  * FeynCalc https://feyncalc.github.io/
* Julia:
  * https://arxiv.org/pdf/2310.07634.pdf

[pypi image]: https://badge.fury.io/py/feynamp.svg
[pypi link]: https://pypi.org/project/feynamp/
[pypi versions]: https://img.shields.io/pypi/pyversions/feynamp.svg

[a t link]: https://github.com/APN-Pucky/feynamp/actions/workflows/test.yml
[a t image]: https://github.com/APN-Pucky/feynamp/actions/workflows/test.yml/badge.svg

[c t l]: https://coveralls.io/github/APN-Pucky/feynamp?branch=master
[c t i]: https://coveralls.io/repos/github/APN-Pucky/feynamp/badge.svg?branch=master