6 Repos
Components for embedding interactive geographical maps into mobile applications.
Distinguishing note: The candidates focused on web-native bridges or generic media embeds; this is specifically for mobile map integration.
Explore 6 awesome GitHub repositories matching mobile development · Interactive Map Embeds. Refine with filters or upvote what's useful.
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
Triggers callback functions when a user presses on a specific line segment drawn on the map.
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
Provides a declarative interface for embedding interactive geographical maps within iOS and Android applications.
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
Embeds native map views with configurable initial coordinates using Apple Maps or Google Maps.
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
Renders interactive maps directly inside Jupyter notebook cells without external hosting.
geemap ist eine Python-Bibliothek und ein Toolkit für interaktive geowissenschaftliche Analyse, Visualisierung und Analyse von Satellitenbildern unter Verwendung von Google Earth Engine-Daten und Cloud-Computing. Es bietet ein Mapping-Tool zur Anzeige geowissenschaftlicher Datensätze innerhalb von Jupyter-Notebooks sowie eine Suite von Tools zur Klassifizierung von Bildern und zur Berechnung zonaler Statistiken. Das Projekt enthält ein Dienstprogramm zur Konvertierung geowissenschaftlicher Analyseskripte von JavaScript in Python-Code, um die Datenmanipulation zu erleichtern. Es ermöglicht zudem die Generierung von Zeitraffer-Animationen und Zeitreihenvisualisierungen aus Satellitenbildkatalogen. Die Bibliothek deckt umfassende geowissenschaftliche Funktionen ab, einschließlich groß angelegter räumlicher Berechnungen, Bildklassifizierung und Visualisierung geowissenschaftlicher Daten. Sie unterstützt Datenverwaltungsaufgaben wie den Export geowissenschaftlicher Layer in gängige Formate, das Extrahieren von Bildpixeln in NumPy-Arrays und die Integration lokaler Shapefiles mit cloudbasierter Analyse.
Renders interactive maps directly inside Jupyter notebook cells for geospatial data exploration.
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
Embeds interactive map components directly into Jupyter notebook cells for real-time visualization.