{"id":14970768,"url":"https://github.com/compwa/tensorwaves","last_synced_at":"2025-10-26T13:31:28.011Z","repository":{"id":39271890,"uuid":"244342170","full_name":"ComPWA/tensorwaves","owner":"ComPWA","description":"Python fitter package for multiple computational 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TensorWaves\n\n[![10.5281/zenodo.5526650](https://zenodo.org/badge/doi/10.5281/zenodo.5526650.svg)](https://doi.org/10.5281/zenodo.5526650)\n[![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://www.apache.org/licenses/LICENSE-2.0)\n\n[![PyPI package](https://badge.fury.io/py/tensorwaves.svg)](https://pypi.org/project/tensorwaves)\n[![Conda package](https://anaconda.org/conda-forge/tensorwaves/badges/version.svg)](https://anaconda.org/conda-forge/tensorwaves)\n[![Supported Python versions](https://img.shields.io/pypi/pyversions/tensorwaves)](https://pypi.org/project/tensorwaves)\n\n[![Binder](https://static.mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/ComPWA/tensorwaves/stable?urlpath=lab)\n[![Google Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/ComPWA/tensorwaves/blob/stable)\n[![Open in Visual Studio Code](https://img.shields.io/badge/vscode-open-blue?logo=visualstudiocode)](https://open.vscode.dev/ComPWA/tensorwaves)\n\n[![Documentation build status](https://readthedocs.org/projects/tensorwaves/badge/?version=latest)](https://tensorwaves.readthedocs.io)\n[![pre-commit.ci status](https://results.pre-commit.ci/badge/github/ComPWA/tensorwaves/main.svg)](https://results.pre-commit.ci/latest/github/ComPWA/tensorwaves/main)\n[![CI](https://github.com/ComPWA/tensorwaves/actions/workflows/ci.yml/badge.svg)](https://github.com/ComPWA/tensorwaves/actions/workflows/ci.yml)\n[![Checked with mypy](http://www.mypy-lang.org/static/mypy_badge.svg)](https://mypy.readthedocs.io)\n[![Test coverage](https://codecov.io/gh/ComPWA/tensorwaves/branch/main/graph/badge.svg)](https://codecov.io/gh/ComPWA/tensorwaves)\n[![Spelling checked](https://img.shields.io/badge/cspell-checked-brightgreen.svg)](https://github.com/streetsidesoftware/cspell/tree/master/packages/cspell)\n[![code style: prettier](https://img.shields.io/badge/code_style-prettier-ff69b4.svg?style=flat-square)](https://github.com/prettier/prettier)\n[![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/charliermarsh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff)\n[![uv](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/uv/main/assets/badge/v0.json)](https://github.com/astral-sh/uv)\n\nTensorWaves is a fitter package that optimizes mathematical models to data samples. The\nmodels can be any _symbolic_ mathematical expression that is then converted to any\ncomputational backend. In addition, TensorWaves provides functionality to generate toy\nMonte Carlo data samples. The package is developed in parallel with\n[AmpForm](https://github.com/ComPWA/ampform), which implements physics models, but its\n'lambdifying' mechanisms can in principle be used independently.\n\nAll documentation can be found on\n[tensorwaves.rtfd.io](https://tensorwaves.readthedocs.io).\n\nFor an overview of **upcoming releases and planned functionality**, see\n[here](https://github.com/ComPWA/tensorwaves/milestones?direction=asc\u0026sort=title\u0026state=open).\n\n## Contribute\n\nSee [`CONTRIBUTING.md`](./CONTRIBUTING.md)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcompwa%2Ftensorwaves","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcompwa%2Ftensorwaves","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcompwa%2Ftensorwaves/lists"}