nicholaswilde/the-amazing-race repository overview

⁠🏃 The Amazing Race Analytics Dashboard & Tidy Dataset

A multi-arch container (linux/amd64, linux/arm64) running the interactive exploratory analytics and empirical prediction platform for the CBS reality competition series The Amazing Race.

Built with Streamlit, Altair, and Python 3.12, styled in the Catppuccin Mocha dark theme.

⁠🚀 Quick Start

⁠Run with Docker

docker run -d \
  --name the-amazing-race \
  -p 8501:8501 \
  --restart unless-stopped \
  nicholaswilde/the-amazing-race:latest

Open http://localhost:8501 in your browser.

⁠Run with Docker Compose

services:
  the-amazing-race:
    image: nicholaswilde/the-amazing-race:latest
    container_name: the-amazing-race
    ports:
      - "8501:8501"
    environment:
      - TZ=UTC
      - STREAMLIT_BROWSER_GATHER_USAGE_STATS=false
      - STREAMLIT_SERVER_HEADLESS=true
    restart: unless-stopped

docker compose up -d

⁠✨ Features

• 🔴 In-Progress Season Tracking: Live route legs, active racers, and newly broadcast challenges from currently airing Season 39.
• 🗺️ Season Explorer: Historical route mapping, finish trajectories (1st place at top), full standings, and roadblock equity trackers across Seasons 1–38.
• 🔮 Empirical Race Predictor: Multi-factor probabilistic outcome forecasting (momentum, age peak, relationship archetype, Express Pass / U-Turn leverage) and custom "What-If" team simulator.
• 🧩 Challenge Browser: Interactive search and analytics across 1,700+ Detours, Roadblocks, Fast Forwards, and Speed Bumps.
• 🎨 Catppuccin Mocha Palette: Dark-mode theme with Mauve accents and coordinated data visualizations.

⁠⚙️ Configuration & Healthcheck

docker inspect --format='{{json .State.Health.Status}}' the-amazing-race

⁠🔗 Links

• GitHub Repository: nicholaswilde/the-amazing-race⁠
• Hugging Face Dataset: nicholascwilde/the-amazing-race⁠
• Live Cloud App: the-amazing-race.streamlit.app⁠