# seemethere/nba_py

Python client for NBA statistics located at stats.nba.com

Repository: https://github.com/seemethere/nba_py
Canonical: https://ross.abutalabs.com/products/nba_py
Language: Python
License: BSD-3-Clause
License Family: permissive
Topics: python, sports-stats
Archived: true
Last push: 2020-02-19T17:46:22+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 4026, "days_push": 2387, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1062, forks 248 (observed 2026-08-28T04:03:26.188685+00:00)

## What it is
nba_py is a Python client library wrapping the stats.nba.com API for retrieving NBA statistics. It returns data as pandas DataFrames or JSON lists and is no longer maintained.

## Use cases
- fetch NBA player stats in python
- query stats.nba.com endpoints
- download NBA team statistics datasets
- analyze basketball data with pandas
- get NBA game logs programmatically

## When to choose
- you need a simple Python wrapper for stats.nba.com endpoints
- you want stats returned as pandas DataFrames or JSON
- you're okay maintaining a fork since the project is unmaintained

## When to avoid
- you need an actively maintained client that tracks stats.nba.com API changes
- you need guaranteed stability or support
- you work outside the Python ecosystem

## Facets
- artifact type: library
- maturity: abandoned
- function: http-client, data-science
- domain: sports, data-science, apis
- platform: python
- tags: nba, sports-stats, stats-api, basketball, api-client

## Member repositories
- seemethere/nba_py (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:26.188685+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:56:46.417712+00:00, confidence not recorded.
  - readme: https://github.com/seemethere/nba_py (fetched 2026-08-28T04:03:26.188685+00:00, sha b0751a23526b)
  - registry_pypi: https://pypi.org/pypi/nba_py/json (fetched 2026-08-29T12:58:38.678889+00:00, sha 6e8a2872b827)
- Data as of 2026-08-30T08:39:29.467469+00:00.