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 sportsdataverse

# with full dependencies
pip install sportsdataverse[all]

or 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 .[all]

• Saiem Gilani

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}
}