Leaflet.js

Maps & Geocoding

Leaflet.js is the world's leading open-source JavaScript library for building interactive, mobile-friendly maps on the web. Lightweight, fast, and designed with simplicity in mind, Leaflet gives developers everything they need to display maps, add markers and popups, draw polygons and lines, and respond to user interactions — all without locking into a single commercial map provider or paying per-request fees. It works with any map tile source, including OpenStreetMap, Mapbox, Google Maps, or self-hosted tiles, giving developers complete flexibility over data sources and costs.

free

None

No rate limits (client-side JavaScript library)

✗ Not Available

Best For

Frontend developers building lightweight interactive maps for Nigerian web apps without relying on heavy commercial SDKs

Pricing

Leaflet is a JavaScript library, not a hosted API — it renders maps client-side. Works with any tile provider including OpenStreetMap, Mapbox, or self-hosted tiles. Widely used in Nigerian civic tech and logistics dashboards.

Key Highlights

  • Open-source JavaScript library
  • Works with any tile provider
  • Lightweight (42KB gzipped)
  • Mobile-friendly touch support
  • Rich plugin ecosystem

Required Access Documents

  • NoneOptional
    Free, open-source library — no signup or key required.

Use Cases

  • Delivery Tracking Dashboards:Build real-time delivery tracking maps for Nigerian logistics companies using Leaflet with OpenStreetMap tiles, displaying rider positions, route lines, and delivery zone polygons without any per-request costs.
  • Election Results and Civic Data Maps:Render Nigerian state and LGA choropleth maps for election result dashboards, health data visualizations, and government reporting portals using Leaflet with custom data overlays from Nigerian open data sources.
  • Marketplace and Real Estate Listing Maps:Display property listings, store locations, and service coverage areas on interactive maps within Nigerian marketplace apps, enabling users to browse and filter location-based results visually.

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