Skip to main content

Python client for NBA statistics located at

Project description

nbapy - API for python


An ongoing process, but check out the wiki or feel free to poke around the codebase.


A python facing API for (Still in heavy development)


NOTE: Developmental builds, are by no means stable If you want the stable version use:

$ pip install nbapy


  • Download from source (git clone, zipped package)
  • Run from the root directory:
$ pip install .


Planned development

1. Documentation

  • All around documentation not only of nbapy but also (it's pretty nonexistent)


1. Fork the repository and create a feature/bug fix branch

2. Install development requirements

$ pip install -e . ".[dev]"

3. Hack away

4. Create some tests

5. Make sure it's good code

$ pytest --cov

$ flake8

6. Submit a pull request

Other ways to contribute involve submitting any issues or adding some documentation!


  • Jupyter Notebook documentation

Project details

Download files

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

Files for nbapy, version 1.0.7
Filename, size File type Python version Upload date Hashes
Filename, size nbapy-1.0.7-py3-none-any.whl (20.8 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size nbapy-1.0.7.tar.gz (15.2 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page