mapbox-web-performance-patterns

What problem does it solve?

This Skill helps Web teams accelerate Mapbox GL JS applications by eliminating waterfalls, reducing bundle size, and improving rendering and memory management across platforms.

Core Features & Use Cases

• Eliminate initialization waterfalls: parallelize data loading with map initialization to reduce first-load latency.
• Bundle and render efficiently: apply code-splitting, vector tiles for large datasets, and layer consolidation to speed up rendering.
• Memory and mobile optimizations: cleanup resources, feature state usage, and battery-conscious rendering for mobile devices.
• Use Case: Imagine a web app showing a live map with thousands of points; this skill provides strategies to keep the UI responsive during pan/zoom.

Quick Start

Start by auditing your Mapbox GL JS project for waterfalls, enable parallel data fetches, reduce initial bundle size, implement viewport-based data loading and clustering for large data, then test performance metrics like TTI and FPS.