Real-Time Bike Fleet Visualization

Prospective's platform, empowered by Webassembly, enables direct connection to Citibike's public API for real-time data without an intermediary server.

Managing a bike fleet in NYC requires real-time insights to navigate the city's bustling dynamics. Prospective's platform, empowered by Webassembly, enables direct connection to Citibike's public API for real-time data without an intermediary server. This setup unveils a live map, updating every second, showcasing bike availability at various stations, colored based on the number of bikes present.

A specialized data table merges real-time bike availability updates with static station information through a process known as a join. Utilizing the `update()` method, the table selectively refreshes, ensuring efficiency and currency of data, thereby providing a clear, immediate picture of the bike fleet's distribution amidst NYC's lively atmosphere. Through Prospective, deciphering the city's bike fleet narrative becomes streamlined.