pyproject.toml

[tool.poetry]
name = "curve_curator"
version = "0.5.1"
description = "CurveCurator is an open-source analysis platform for any dose-dependent data. It fits a classical 4-parameter equation to estimate effect potency, effect size, and the statistical significance of the observed response. 2D-thresholding efficiently reduces false positives in high-throughput experiments and separates relevant from irrelevant or insignificant hits in an automated and unbiased manner. An interactive dashboard allows users to quickly explore data locally."
authors = ["Florian P. Bayer <f.bayer@tum.de>"]
license = "Apache License, Version 2.0"
readme = "README.md"

[tool.poetry.dependencies]
python = ">=3.11,<3.13"
bokeh = "~3.4.0"
numpy = "^1.25.0"
pandas = "^2.1.2"
scipy = "^1.10.1"
statsmodels = "^0.14.0"
tqdm = "^4.66.1"
pytest = "^7.4.3"

[tool.poetry.group.dev.dependencies]
seaborn = "^0.12.2"
pytest-cov = "^4.1.0"

[tool.poetry.scripts]
CurveCurator = "curve_curator.__main__:main"

[build-system]
requires = ["poetry-core>=1.6.0"]
build-backend = "poetry.core.masonry.api"