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A collection of sports apis and higher level abstraction classes (Games, Season, Player, League, etc)

Project description

sportsdata

Collection of sports data objects, APIs, Website (data), and factual data for each sport such as teams, rosters, etc. The goal is to integrate both my own work and any relevant eligible libraries that are on GitHub. Collaboration on this project is definitely hoped for.

Currently this library includes:

  • An API for stats.nba.com

Installing sportsdata

sportsdata can be installed via pip.

pip install sportsdata

Break down into end to end tests

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Coding Style Guidelines

This repository attempts to be PEP compliant in regards to code style and any submitted code should be formatted accordingly

Deployment

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Contributing

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

Versioning

We use SemVer for versioning. For the versions available, see the tags on this repository.

Authors

David Orkin - First Draft - OrangeCardinal

See also the list of contributors who participated in this project.

License

This project is licensed under the Apache License 2.0 - see the LICENSE.md file for details

Acknowledgments

These are the various sources referenced while building this library

URL Note
https://github.com/bradleyfay/py-Goldsberry NBA Api Reference.
https://github.com/roclark/sportsipy nba.teams,
  • Thanks for the README.md template from Billie Thompson PurpleBooth!

Major League Baseball Data Major league baseball offers various API endpoints.

This is a simple example package. You can use Github-flavored Markdown to write your content.

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