Ross ROSS = Recommend OSS · open-source software intelligence for agents

seemethere/nba_py

Python client for NBA statistics located at stats.nba.com observed · 2026-08-28

github.com/seemethere/nba_py · Python · BSD-3-Clause (permissive) · archived observed · 2026-08-28

Health v2 · maintenance only

10/100

  • Activity 0
  • Release rhythm 8
  • Longevity 100

Flags: archived

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 4026
  • days_rel: n/a
  • days_push: 2387
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1062 stars · 248 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

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 It returns data as pandas DataFrames or JSON lists and is no longer maintained.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

library · maturity abandoned

http-client data-science sports data-science apis python nba sports-stats stats-api basketball api-client

2 sources

Member repositories

RepositoryRoleHealth v2
seemethere/nba_pymain10

For agents

markdown · JSON · MCP: product_card(name="seemethere/nba_py")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem