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Traffic-aware directions and map matching in Swift on iOS, macOS, tvOS, watchOS, and Linux
GDAL is an MIT-licensed open source translator library that provides a unified abstract data model for reading and writing geospatial raster and vector data across hundreds of file formats. It serves as a foundational geospatial data translation library, enabling access to diverse geospatial data formats through a single, consistent interface. The library exposes its core functionality through command-line utilities that allow users to translate, convert, and process geospatial data between formats. A coordinate transformation engine handles conversions between spatial reference systems, whil
Turn-by-turn navigation logic and UI in Swift on iOS
The main features of mapbox/mapbox-navigation-ios are: Geospatial Development Libraries, Swift Geospatial Libraries.
Open-source alternatives to mapbox/mapbox-navigation-ios include: mapbox/turf-swift — A Swift language port of Turf.js. mapbox/mapboxdirections.swift — Traffic-aware directions and map matching in Swift on iOS, macOS, tvOS, watchOS, and Linux. geoswift/geoswift — The Swift Geometry Engine. torchgeo/torchgeo — TorchGeo is a PyTorch library designed for deep learning on geospatial data, providing a framework for building and… osgeo/gdal — GDAL is an MIT-licensed open source translator library that provides a unified abstract data model for reading and… dwins/mapnik2geotools — Using the Scala XML API to translate from Mapnik XML to GeoTools' SLD dialect.