https://github.com/sportsdataverse/sportsdataverse-py

sportsdataverse python package
https://github.com/sportsdataverse/sportsdataverse-py

cfb-data college-basketball college-football data-science espn hockey nba nba-stats nfl nflfastr nhl nhl-api python sports sports-analytics sports-data sports-stats sportsdataverse wnba womens-basketball

Last synced: 2 days ago
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sportsdataverse python package

• Host: GitHub
• URL: https://github.com/sportsdataverse/sportsdataverse-py
• Owner: sportsdataverse
• License: mit
• Created: 2021-10-12T18:16:16.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2024-12-21T02:41:33.000Z (about 1 month ago)
• Last Synced: 2025-01-18T12:07:05.663Z (9 days ago)
• Topics: cfb-data, college-basketball, college-football, data-science, espn, hockey, nba, nba-stats, nfl, nflfastr, nhl, nhl-api, python, sports, sports-analytics, sports-data, sports-stats, sportsdataverse, wnba, womens-basketball
• Language: Python
• Homepage: https://py.sportsdataverse.org
• Size: 15.4 MB
• Stars: 82
• Watchers: 7
• Forks: 8
• Open Issues: 32
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE

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README

        
# sportsdataverse-py 

![Lifecycle:experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg?style=for-the-badge&logo=github)

[![PyPI](https://img.shields.io/pypi/v/sportsdataverse?label=sportsdataverse&logo=python&style=for-the-badge)](https://pypi.org/project/sportsdataverse/)

![Contributors](https://img.shields.io/github/contributors/sportsdataverse/sportsdataverse-py?style=for-the-badge)

[![Twitter

Follow](https://img.shields.io/twitter/follow/sportsdataverse?color=blue&label=%40sportsdataverse&logo=twitter&style=for-the-badge)](https://twitter.com/sportsdataverse)

See [CHANGELOG.md](https://py.sportsdataverse.org/CHANGELOG) for details.

The goal of [sportsdataverse-py](https://py.sportsdataverse.org) is to provide the community with a python package for working with sports data as a companion to the [cfbfastR](https://cfbfastR.sportsdataverse.org/), [hoopR](https://hoopR.sportsdataverse.org/), and [wehoop](https://wehoop.sportsdataverse.org/) R packages. Beyond data aggregation and tidying ease, one of the multitude of services that [sportsdataverse-py](https://py.sportsdataverse.org) provides is for benchmarking open-source expected points and win probability metrics for American Football.

## Installation

sportsdataverse-py can be installed via pip:

```bash

pip install sportsdataverse

# with full dependencies

pip install sportsdataverse[all]

```

or from the repo (which may at times be more up to date):

```bash

git clone https://github.com/sportsdataverse/sportsdataverse-py

cd sportsdataverse-py

pip install -e .[all]

```

# **Our Authors**

-   [Saiem Gilani](https://twitter.com/saiemgilani)





## **Citations**

To cite the [**`sportsdataverse-py`**](https://py.sportsdataverse.org) Python package in publications, use:

BibTex Citation

```bibtex

@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}

}

```