pyproject.toml

[project]
name = "deeptime"
readme = "README.md"
description = "Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation."
keywords = [
    "markov-model", "hidden-markov-model", "time-series-analysis", "covariance-estimation",
    "koopman-operator", "coherent-set-detection"
]
requires-python = ">= 3.7"
dependencies = ['numpy', 'scipy', 'scikit-learn', 'threadpoolctl']

[project.urls]
homepage = "https://deeptime-ml.github.io"
repository = "https://github.com/deeptime-ml/deeptime"
documentation = "https://deeptime-ml.github.io"
download = "https://pypi.org/project/deeptime/#files"

[project.optional-dependencies]
deep-learning = ['pytorch']
plotting = ['matplotlib', 'networkx']

[build-system]
requires = ["toml", "setuptools", "wheel", "numpy>=1.14", "scipy", "Cython", "pybind11"]

[tool.pytest.ini_options]
filterwarnings = ["once", "ignore::UserWarning"]