# L7

> Large-scale WebGL-powered Geospatial Data Visualization analysis framework, maintained by Alibaba

- Category: [JavaScript map & geospatial visualization libraries](https://awesomedataviz.com/categories/javascript-maps/)
- Website: https://l7.antv.antgroup.com
- Repository: https://github.com/antvis/L7
- License: MIT
- Language: TypeScript
- Status: Active (commits in the last 90 days)
- GitHub stars: 4,070
- Commits in the last 12 months: 112
- Contributors: 62
- Last commit: Jul 30, 2026
- Latest release: v2.22.5 (Mar 11, 2025)
- Install (npm): `npm install @antv/l7`, 29.4K downloads per week
- Topics: Maps & geospatial visualization, 3D & scientific visualization, GPU-accelerated & WebGL visualization, Visualizing large datasets

## Overview

L7 is an open-source JavaScript mapping library released under the MIT license. Its GitHub repository has 4,070 stars, 656 forks, and 62 contributors. It is actively developed with 112 commits in the last 12 months. The latest release, v2.22.5, was published on Mar 11, 2025. On npm it is downloaded about 29.4K times per week.

## 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)

Source: https://awesomedataviz.com/tools/l7/ · Data updated 2026-10-04 · Content: CC BY 4.0, Awesome Dataviz (https://awesomedataviz.com).
