Awesome GitHub RepositoriesInteractive Map Embeds

react-native-maps is a cross-platform mobile map component for iOS and Android that renders interactive geographic data and markers. It provides a native map view and viewport controller to manage camera movement, zoom levels, and coordinate-based animations on mobile devices. The project includes a GeoJSON map renderer for visualizing complex geographic features and an interactive map overlay library for drawing polylines, polygons, and heatmaps. It supports integration with both Google Maps and Apple Maps, allowing developers to switch between providers or apply cloud-based styling and cust

react-native-maps is a cross-platform map component and visualization library for embedding interactive maps within mobile applications on iOS and Android. It provides a declarative interface for managing geospatial user interfaces, allowing for the rendering of geographical data and location-based features. The library enables the visualization of spatial data through the placement of markers, the creation of custom callouts, and the drawing of polylines and polygons as map overlays. It supports interactive map navigation, including the ability to animate map regions and customize the visual

Vue Native is a framework that compiles Vue.js single-file components into React Native primitives, enabling developers to build native iOS and Android applications using Vue syntax. At its core, it provides a build-time compiler that transforms Vue components into React components, while hooking Vue's dependency-tracking reactivity system into React's component lifecycle to trigger re-renders when observed data changes. The framework wraps React Native's native module bridge so Vue components can access device APIs through Vue's reactivity system, and maps Vue's component syntax to React Nat

Folium is a Python library that builds interactive Leaflet.js maps directly from Python data structures, enabling geographic data visualization in Jupyter notebooks or as standalone HTML pages. It creates maps centered on given coordinates with configurable zoom, tiles, and dimensions, and supports embedding those maps inside web routes for serving in browsers. The library provides a comprehensive set of tools for data-driven map creation, including choropleth maps that bind tabular data to geographic geometries, colormap application to markers and polygons, and GeoJSON data overlay and visua

geemap is a Python library and toolkit for interactive geospatial analysis, visualization, and satellite imagery analysis using Google Earth Engine data and cloud computing. It provides a mapping tool for displaying geospatial datasets within Jupyter notebooks and a suite of tools for classifying imagery and calculating zonal statistics. The project includes a utility to convert geospatial analysis scripts from JavaScript into Python code to facilitate data manipulation. It also enables the generation of timelapse animations and time-series visualizations from satellite imagery catalogs. The

Leafmap is a Python geospatial visualization library designed for creating interactive maps and performing geospatial analysis within Jupyter environments. It provides a comprehensive set of tools for building interactive map interfaces, browsing and visualizing SpatioTemporal Asset Catalog items, and connecting to PostGIS databases for spatial data rendering. The project distinguishes itself through a backend-agnostic rendering system that allows users to switch between different mapping engines while maintaining a consistent API. It features specialized capabilities for Cloud Optimized GeoT