Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Deck.gl | 10,938 | 280 | 131 | 7 hours ago | 553 | September 16, 2022 | 223 | mit | JavaScript | |
WebGL2 powered visualization framework | ||||||||||
Kepler.gl | 9,425 | 3 | 15 | 2 days ago | 15 | September 16, 2021 | 563 | mit | TypeScript | |
Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets. | ||||||||||
L7 | 3,078 | 2 | 42 | 2 days ago | 475 | September 20, 2022 | 101 | mit | TypeScript | |
🌎 Large-scale WebGL-powered Geospatial Data Visualization analysis engine | ||||||||||
Awesome Open Geoscience | 1,133 | 24 days ago | 11 | cc0-1.0 | ||||||
Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome | ||||||||||
Geoplot | 1,053 | 3 | 1 | 3 months ago | 21 | March 18, 2022 | 22 | mit | Python | |
High-level geospatial data visualization library for Python. | ||||||||||
Itowns | 906 | 6 | 7 | 6 hours ago | 56 | May 11, 2022 | 186 | other | JavaScript | |
A Three.js-based framework written in Javascript/WebGL for visualizing 3D geospatial data | ||||||||||
Leaflet Dvf | 651 | 4 | 5 years ago | 4 | February 16, 2017 | 58 | mit | JavaScript | ||
Leaflet Data Visualization Framework | ||||||||||
Geojs | 404 | 33 | 10 | 6 days ago | 109 | October 10, 2022 | 45 | apache-2.0 | JavaScript | |
High-performance visualization and interactive data exploration of scientific and geospatial location aware datasets | ||||||||||
Kaggle Talkingdata Visualization | 326 | 6 years ago | 2 | JavaScript | ||||||
Source code for blog post: Interactive Data Visualization of Geospatial Data using D3.js, DC.js, Leaflet.js and Python | ||||||||||
Streamlit Folium | 281 | 3 | 2 days ago | 32 | July 06, 2022 | 13 | mit | Python | ||
Streamlit Component for rendering Folium maps |
English | 简体中文
L7 是由蚂蚁金服 AntV 数据可视化团队推出的基于 WebGL 的开源大规模地理空间数据可视分析开发框架。L7 中的 L 代表 Location,7 代表世界七大洲,寓意能为全球位置数据提供可视分析的能力。L7 专注数据可视化化表达,通过颜色、大小、纹理,方向,体积等视觉变量设置实现从数据到信息清晰,有效的表达。
L7 能够满足常见的地图图表,BI 系统的可视化分析、以及 GIS,交通,电力,国土,农业,城市等领域的空间信息管理,分析等应用系统开发需求。
🌏 数据驱动可视化展示
数据驱动,灵活数据映射,从数到形,支持丰富的地图可视化类型,更好洞察数据。
🌏 2D,3D 一体化的海量数据高性能渲染
海量空间数据实时,可交互,动态渲染,
🌏 简单灵活的数据接入
支持 CSV,JSON,GeoJSON 等数据格式接入,可以根据需求自定义数据格式,无需复杂的空间数据转换。
🌏 多地图底图支持,支持离线内网部署
屏蔽不同底图之间的差异,用户只需要关注数据层表达,交互。高德地图国内合法合规的地理底图,Mapbox 满足国际化业务需求。
npm install @antv/l7
import { Scene } from '@antv/l7';
import { Mapbox } from '@antv/l7-maps';
const scene = new Scene({
id: 'map',
map: new Mapbox({
style: 'light',
pitch: 0,
center: [107.054293, 35.246265],
zoom: 4.056,
}),
});
import { PointLayer } from '@antv/l7';
const pointLayer = new PointLayer()
.source(data)
.shape('circle')
.size('mag', [1, 25])
.color('mag', ['#5B8FF9', '#5CCEA1'])
.style({
opacity: 0.3,
strokeWidth: 1,
});
scene.addLayer(pointLayer);