{"references": ["Meurer, Smith et al. (2017). \"SymPy: symbolic computing in Python\". PeerJ Computer Science 3:e103. https://doi.org/10.7717/peerj-cs.103.", "Pfl\u00fcger, de Boer et al. (2021). \"ComPWA/qrules: Rule-based particle reaction problem solver on a quantum number level\". https://doi.org/10.5281/zenodo.5526360.", "Pfl\u00fcger, de Boer et al. (2021). \"ComPWA/tensorwaves: Python fitter package for multiple computational back-ends\". https://doi.org/10.5281/zenodo.5526361."]}

AmpForm is a Python library of spin formalisms and dynamics with which you can automatically formulate symbolic amplitude models for Partial Wave Analysis. The resulting amplitude models are formulated with SymPy (a Computer Algebra System). This not only makes it easy to inspect and visualize the resulting amplitude models, but also means the amplitude models can be used as templates for faster computational back-ends (see TensorWaves).