HooperLabs

HooperLabs

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 raw stats.

Python Flask HTML CSS JavaScript
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HooperROI

HooperROI

HooperROI is a project designed to assess the value (or return on investment) of NBA player contracts by analyzing player salary data and performance metrics.

Python SQL HTML & CSS Pandas Numpy Excel Data Processing Webscraping
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NBA DeadCap Tracker

NBA DeadCap Tracker

NBA Dead Cap Tracker is a project designed to show how much money an NBA team is spending and losing on players who miss games due to injury, illness, or load management. This concept is known as Dead Cap.

SQL Python HTML CSS Numpy Pandas
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PediaMetrics

PediaMetrics

PediaMetrics is a pediatric health tracking system based on simulated data. It enables healthcare professionals and researchers to analyze and manage pediatric patient data efficiently.

SQL Python AWS S3 Airflow Tableau HTML CSS Numpy Pandas
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HooperImpact

HooperImpact

HooperImpact is the ultimate tool for basketball analysts and fans, enabling in-depth exploration of player contributions and team dynamics across seasons.

Python SQL HTML & CSS JavaScript Data Processing DuckDB AWS S3 Pandas Numpy Flask
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HooperDNA

HooperDNA

HooperDNA is a dynamic tool built for both casual basketball fans and expert analysts. It allows users to search for their favorite college basketball players and find the best NBA comparison based on statistical similarities.

Python SQL HTML CSS AWS S3
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HooperJourney

HooperJourney

Track and visualize player development and career progression over time. Analyze growth patterns and milestone achievements throughout a player's career.

Python Flask HTML CSS Data Visualization Pandas
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HooperUniversity

HooperUniversity

Test your knowledge of college men's basketball with our interactive trivia game. Challenge yourself with questions about players, teams, history, and memorable moments.

Python Flask HTML CSS JavaScript
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NBA G.O.A.T. Calculator

NBA G.O.A.T. Calculator

This web application allows basketball fans to create a customized ranked list of NBA players throughout history based on the user's selected preferences.

Excel Python HTML CSS Flask
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NBA Comparison Tool

NBA Comparison Tool

The NBA Player Comparison Tool is a versatile tool designed to cater to both casual NBA watchers and expert analysts. By enabling users to compare the performance of two NBA players across different seasons (from 1969-70 to Present), the app provides valuable context to player statistics.

Python Flask Pandas Numpy HTML CSS
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NCAA Player Scouter

NCAA Player Scouter

The NCAA Player Scouter for College Basketball is a web application that allows you to search for NCAA basketball players based on their performance statistics.

Python Flask HTML CSS
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AYN Thor Queue Tracker

AYN Thor Queue Tracker

Track your AYN Thor order in real time with live queue updates, batch insights, and estimated delivery timelines. The tracker uses a Monte Carlo time series model to simulate and forecast future shipping progress.

Python Flask HTML CSS
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