Skip to main content

Retrieve Sports data in Python

Project description


Lifecycle:experimental PyPIPyPI - Down
loads Contributors Twitter Follow

See 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
cd sportsdataverse-py
pip install -e .[all]

Our Authors


To cite the sportsdataverse-py Python package in publications, use:

BibTex Citation

  author = {Gilani, Saiem},
  title = {sportsdataverse-py: The SportsDataverse's Python Package for Sports Data.},
  url = {},
  season = {2021}

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sportsdataverse-0.0.39.tar.gz (8.3 MB view hashes)

Uploaded Source

Built Distribution

sportsdataverse-0.0.39-py3-none-any.whl (8.4 MB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page