See CHANGELOG.md for details.
The goal of sportsdataverse-py is to provide the community with a python package for working with sports data as a companion to the cfbfastR, hoopR, and wehoop R packages. Beyond data aggregation and tidying ease, one of the multitude of services that sportsdataverse-py provides is for benchmarking open-source expected points and win probability metrics for American Football.
sportsdataverse-py can be installed via pip:
pip install sportsdataverseor from the repo (which may at times be more up to date):
git clone https://github.com/sportsdataverse/sportsdataverse-py
cd sportsdataverse-py
pip install -e .
To cite the sportsdataverse-py Python package in publications, use:
BibTex Citation
@misc{gilani_sdvpy_2021,
author = {Gilani, Saiem},
title = {sportsdataverse-py: The SportsDataverse's Python Package for Sports Data.},
url = {https://py.sportsdataverse.org},
season = {2021}
}