# mapcn

> Map components for React built on MapLibre GL, styled with Tailwind and compatible with shadcn/ui.

- Category: [JavaScript map & geospatial visualization libraries](https://awesomedataviz.com/categories/javascript-maps/)
- Website: https://mapcn.dev
- Repository: https://github.com/AnmolSaini16/mapcn
- License: MIT
- Language: TypeScript
- Status: Active (commits in the last 90 days)
- GitHub stars: 12,238
- Commits in the last 12 months: 113
- Contributors: 3
- Last commit: Sep 6, 2026
- Topics: Maps & geospatial visualization

## Overview

mapcn is an open-source JavaScript mapping library released under the MIT license. Its GitHub repository has 12,238 stars, 720 forks, and 3 contributors. It is actively developed with 113 commits in the last 12 months.

## Alternatives

- [Leaflet](https://awesomedataviz.com/tools/leaflet/): JavaScript library for mobile-friendly interactive maps. (45.7K stars)
- [Cesium](https://awesomedataviz.com/tools/cesium/): WebGL 3D globes and maps. (15.8K stars)
- [Deck.gl](https://awesomedataviz.com/tools/deck-gl/): WebGL framework for visual exploratory data analysis of large datasets. (14.6K stars)
- [OpenLayers](https://awesomedataviz.com/tools/openlayers/): Library for interactive web maps with support for many data sources, formats and projections. (12.6K stars)
- [MapLibre GL JS](https://awesomedataviz.com/tools/maplibre-gl-js/): WebGL-based interactive vector tile maps in the browser; community fork of Mapbox GL JS. (11.8K stars)
- [react-map-gl](https://awesomedataviz.com/tools/react-map-gl/): React components for MapLibre GL JS and Mapbox GL JS, maintained by vis.gl. (8.5K stars)

## Comparisons

- [Leaflet vs mapcn](https://awesomedataviz.com/compare/leaflet-vs-mapcn/)
- [Cesium vs mapcn](https://awesomedataviz.com/compare/cesium-vs-mapcn/)
- [Deck.gl vs mapcn](https://awesomedataviz.com/compare/deck-gl-vs-mapcn/)
- [mapcn vs OpenLayers](https://awesomedataviz.com/compare/mapcn-vs-openlayers/)

Source: https://awesomedataviz.com/tools/mapcn/ · Data updated 2026-10-05 · Content: CC BY 4.0, Awesome Dataviz (https://awesomedataviz.com).
