pyproject.toml

[tool.poetry]
name = "pytimetk"
version = "1.0.1.9000"
description = "The time series toolkit for Python."
authors = [
    "Business Science <info@business-science.io>",
    "Quant Science <info@quantscience.io>",
    "Matt Dancho <mdancho@business-science.io>",
    "Justin B. Kurland <justin.b.kurland@gmail.com>",
]
maintainers = [
    "Matt Dancho <mdancho@business-science.io>",
    "Justin B. Kurland <justin.b.kurland@gmail.com>",
    "Jeff Tackes <tackes@gmail.com>",
    "Samuel Macêdo <svm.macedo@gmail.com>",
    "Lucas Okwudishu <clfo2014@gmail.com>",
    "Alex Riggio <alexmriggio@gmail.com>",
]
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 = "^0.2.1"
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"