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Valhalla is an open-source routing engine that calculates optimal paths and travel times using OpenStreetMap data. It is built around a tiled routing graph framework, allowing map data to be organized into small geographic tiles for efficient regional updates and offline routing capability.
The main features of valhalla/valhalla are: Multimodal Planning, Routing Engines, Routing Graph Generation, Tiled Routing Graphs, Geographic Routing Engines, Road Network Routing, Route Calculations, OSM Data Parsing.
Projects with overlapping indexed features include: graphhopper/graphhopper — GraphHopper is a Java routing library and OpenStreetMap routing engine used to calculate optimal paths and driving… mapbox/mapbox-gl-native — This project is a cross-platform mapping SDK and hardware-accelerated rendering engine implemented in C++. It provides… project-osrm/osrm-backend — osrm-backend is a high-performance routing engine and backend service designed to calculate shortest paths and travel… gboeing/osmnx — OSMnx is a Python library for downloading, modeling, and analyzing street networks and other geospatial features from… admol/systemdesign — This project is a reference library of architectural blueprints, study materials, and design patterns for building… osmandapp/osmand — OsmAnd is a mobile navigation application and vector map viewer that uses OpenStreetMap data to provide offline map…
GraphHopper is a Java routing library and OpenStreetMap routing engine used to calculate optimal paths and driving directions. It provides a map matching engine for aligning GPS coordinate traces to road networks, a GTFS transit router for multi-modal travel, and a spatial analysis utility for isochrone generation. The project supports the creation of custom vehicle profiles and weighting logic to influence path calculations. It implements contraction hierarchies to accelerate pathfinding by reducing the search space between coordinates. The engine covers a broad range of geospatial capabili
This project is a cross-platform mapping SDK and hardware-accelerated rendering engine implemented in C++. It provides a shared geospatial core that allows for the embedding of interactive maps into Android, iOS, macOS, Node.js, and Qt applications. The system focuses on high-performance vector tile rendering using OpenGL and GPU primitives to display interactive 3D landscapes and complex geospatial datasets. It transforms compressed protocol buffers into customizable visuals through a style-driven layer pipeline. The capability surface extends to comprehensive location services, including g
osrm-backend is a high-performance routing engine and backend service designed to calculate shortest paths and travel distances using OpenStreetMap data. It functions as a graph-based pathfinding server and map data processing tool that converts raw map data into specialized formats optimized for high-speed routing calculations. The system provides specialized route calculation for different transport modes, allowing for the definition of custom routing profiles with specific speed limits and travel constraints. It enables high-performance route planning and travel time estimation across larg
OSMnx is a Python library for downloading, modeling, and analyzing street networks and other geospatial features from OpenStreetMap. It enables users to retrieve and work with real-world infrastructure data anywhere in the world, providing tools for network analysis, spatial queries, and visualization. The library offers capabilities for working with urban features such as building footprints, transit stops, and elevation data, along with network statistics like intersection density and circuity. It supports multiple travel modes including driving, walking, and biking, and can calculate short