Where It All Comes Together.
HooperLabs merges the art of basketball with the precision of data analytics. Whether it’s assessing player contracts, finding statistical comparables, or evaluating player impact, the web applications developed within this ecosystem leverage advanced analytics to provide insights beyond the box score. The goal is to bridge the gap between raw statistics and meaningful interpretation, transforming numbers into actionable insights for fans, analysts, and decision-makers.
HooperLabs operates on a custom-built infrastructure designed for efficiency, scalability, and automation. The backbone of this ecosystem is a network of VPS servers, each dedicated to specific roles in hosting, data processing, and analytics.
A custom VPS hosts multiple basketball analytics web apps, each running as an independent project. These applications are deployed directly from their respective GitHub repositories, ensuring seamless updates and maintenance. NGINX serves as the reverse proxy, optimizing performance, security, and request handling.
To avoid API rate limits and ensure a stable, high-quality data source, a second custom VPS running Linux and PostgreSQL serves as the central hub for basketball data. This database, known as HooperData, acts as the foundation for all web apps by supplying them with routinely updated statistics.
The HooperData GitHub repository contains Python scripts that scrape basketball data from Basketball Reference, clean and format the data, and store the processed information into PostgreSQL. Since all web applications pull data directly from HooperData, they avoid unnecessary scraping, reducing server load and improving performance.
Hosting & Deployment: Ubuntu Linux VPS, NGINX for web serving, Waitress for Python web apps.
Web App Development: Flask for backend development, Pandas, NumPy, and BeautifulSoup for data processing.
Database & Data Processing: PostgreSQL for structured basketball data storage, Python-based scraping and ETL scripts, Cron Jobs for automated data updates.
This custom-built ecosystem allows for fast, scalable, and data-driven insights without reliance on external APIs.
Explore each basketball analytics tools and gain insights that will transform how you understand the game.
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