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pyproject.toml
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[tool.poetry]
name = "pytimetk"
version = "1.2.3.9000"
description = "The time series toolkit for Python."
authors = [
"Business Science <[email protected]>",
"Quant Science <[email protected]>",
"Matt Dancho <[email protected]>",
"Justin B. Kurland <[email protected]>",
]
maintainers = [
"Matt Dancho <[email protected]>",
"Justin B. Kurland <[email protected]>",
"Jeff Tackes <[email protected]>",
"Samuel Macêdo <[email protected]>",
"Lucas Okwudishu <[email protected]>",
"Alex Riggio <[email protected]>",
]
license = "MIT"
readme = "README.md"
keywords = ["time series", "forecasting", "machine learning", "data science"]
homepage = "https://business-science.github.io/pytimetk/"
repository = "https://github.com/business-science/pytimetk"
documentation = "https://business-science.github.io/pytimetk/reference/"
[tool.poetry.dependencies]
python = ">=3.9"
pandas = ">=2.0.0"
pandas-flavor = ">=0.6.0"
matplotlib = ">=3.8.0"
plotnine = ">=0.12.3"
plotly = ">=5.17.0"
holidays = ">=0.33"
tsfeatures = ">=0.4.5"
statsmodels = ">=0.14.0"
tqdm = ">=4.66.1"
polars = ">=1.2.0"
pyarrow = ">=16.1.0"
pathos = ">=0.3.1"
adjusttext = ">=0.8"
xarray = ">=2024.6.0" # "<=2023.10.1" https://github.com/pyjanitor-devs/pandas_flavor/issues/33
timebasedcv = ">=0.3"
scikit-learn = ">=1.5.2"
[tool.pytest.ini_options]
norecursedirs = ["zzz_local"]
[tool.poetry.group.dev.dependencies]
ipykernel = "^6.25.2"
pytest = "^7.4.2"
[tool.poetry.group.docs.dependencies]
quarto = "^0.1.0"
quartodoc = "^0.7.5"
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"
[tool.setuptools_scm]
version_scheme = "post-release"
local_scheme = "dirty-tag"