pyproject.toml

[tool.poetry]
name = "ts-datapoint-vis-repr"
version = "0.1"
description = "Data Point Selection for Line Chart Visualization: Methodological Assessment and Evidence-Based Guidelines"
authors = ["Jonas Van Der Donckt", "Jeroen Van Der Donckt"]
readme = "README.md"
license = "MIT"
repository = "https://github.com/predict-idlab/ts-datapoint-selection-vis"
documentation = "https://github.com/predict-idlab/ts-datapoint-selection-vis"
keywords = ["time-series", "visualization", "data aggregation", "plotly", "bokeh", 'matplotlib']

[tool.poetry.dependencies]
python = ">=3.9,<3.11"
numpy = "^1.22"
plotly-resampler = ">=0.9.2"
matplotlib = "^3.6.1"
scipy = "^1.9.2"
Werkzeug = "2.2.1"
seaborn = "^0.12.1"
tqdm = "^4.64.1"
pyfunctional = "^1.4.3"
fastparquet = "^0.8.3"
pyarrow = "^10.0.0"
kaleido = "0.2.0"
scikit-image = "^0.19.3"
bokeh = "^3.0.3"
selenium = "^4.8.0"
tsdownsample = "0.1.2"
simplification = "^0.7.10"
antropy = "^0.1.6"
holoviews = "^1.18.3"


[tool.poetry.extras]
inline_persistent = ["Flask-Cors", "kaleido"]

[tool.poetry.dev-dependencies]
ipywidgets = "^7.7.1"

[tool.poetry.group.dev.dependencies]
ruff = "^0.2.2"
isort = "^5.13.2"
pycairo = "^1.23.0"
black = "^24.2.0"
jedi-language-server = "^0.41.3"