nba_api VS nba-stats-analysis

Compare nba_api vs nba-stats-analysis and see what are their differences.

nba-stats-analysis

Jupyter Notebooks with Applications of Data Science and Analysis with NBA data, using the information available through the NBA Stats API. (by lbiedma)
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nba_api nba-stats-analysis
55 1
2,238 2
- -
7.1 2.7
15 days ago over 2 years ago
Python Jupyter Notebook
MIT License -
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nba_api

Posts with mentions or reviews of nba_api. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-02.

nba-stats-analysis

Posts with mentions or reviews of nba-stats-analysis. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-30.
  • Weekly Friday Self-Promotion and Fan Art Thread
    2 projects | /r/nba | 30 Jul 2021
    I have been using it to make some analytics job on a couple of different points, as I start reading sources like Dean Oliver's Basketball on Paper, and have been uploading it to my GitHub repo. The format is in Jupyter Notebooks, so if anyone is familiar with Python, you can run it on your own computers.

What are some alternatives?

When comparing nba_api and nba-stats-analysis you can also consider the following projects:

nbastatR - NBA Stats API Wrapper and more for R

fastai - The fastai deep learning library

ImportJSON - Import JSON into Google Sheets, this library adds various ImportJSON functions to your spreadsheet

homemade-machine-learning - 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

Python-NSE-Option-Chain-Analyzer - The NSE has a website which displays the option chain in near real-time. This program retrieves this data from the NSE site and then generates useful analysis of the Option Chain for the specified Index or Stock. It also continuously refreshes the Option Chain and visually displays the trend in various indicators useful for Technical Analysis.

Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.

NBA-attendance-prediction - Attendance prediction tool for NBA games using machine learning. Full pipeline implemented in Python from data ingestion to prediction. Attained mean absolute error of around 800 people (about 5% capacity) on test set.

TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

td-ameritrade-python-api - Unofficial Python API client library for TD Ameritrade. This library allows for easy access of the Standard API and allows users to build data pipelines for the Streaming API.

nba-sql - :basketball: An application to build an NBA database backed by MySQL, Postgres, or SQLite

pyracing - A complete overhaul of the original ir_webstats; pyracing is an API client/wrapper for iRacing, the leading online simracing service. pyracing handles the queries to iRacing's (known) URL endpoints and maps the returned JSON data into structured objects, allowing for easier access to the data.

vsphere-automation-sdk-python - Python samples, language bindings, and API reference documentation for vSphere, VMC, and NSX-T using the VMware REST API