settings.ini

[DEFAULT]
host = github
lib_name = statsforecast
user = Nixtla
description = Time series forecasting suite using statistical models
keywords = time-series forecasting arima ets
author = Nixtla
author_email = business@nixtla.io
copyright = Nixtla Inc.
branch = main
version = 2.0.0.99
min_python = 3.9
audience = Developers
language = English
custom_sidebar = True
license = apache2
status = 4
requirements = cloudpickle coreforecast>=0.0.12 numba>=0.55.0 numpy>=1.21.6 pandas>=1.3.5 scipy>=1.7.3 statsmodels>=0.13.2 tqdm fugue>=0.8.1 utilsforecast>=0.1.4 threadpoolctl>=3
polars_requirements = polars[numpy]
ray_requirements = fugue[ray]>=0.8.1 protobuf>=3.15.3,<4.0.0 numpy<2 pandas<2.2 ray<=2.10
dask_requirements = fugue[dask]>=0.8.1
spark_requirements = fugue[spark]>=0.8.1
plotly_requirements = plotly plotly-resampler
dev_requirements = black datasetsforecast fire nbdev==2.3.25 nbformat nbdev_plotly pandas[plot] pmdarima polars[numpy] pre-commit prophet pyarrow pybind11 pytest scikit-learn setuptools<70 supersmoother yfinance
nbs_path = nbs
doc_path = _docs
recursive = True
doc_host =  https://%(user)s.github.io
doc_baseurl = /%(lib_name)s/
git_url = https://github.com/%(user)s/statsforecast/
lib_path = python/statsforecast
title = %(lib_name)s
black_formatting = True
jupyter_hooks = True
clean_ids = True
readme_nb = index.ipynb