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Retrieve, model, analyze, and visualize OpenStreetMap street networks and other spatial data

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  • License: MIT License (MIT)
  • Author: Geoff Boeing
  • Requires: Python >=3.9
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Project description

OSMnx is a Python package that lets you download spatial data and model, project, visualize, and analyze real-world street networks from OpenStreetMap’s APIs. Users can download and model walkable, drivable, or bikeable urban networks with a single line of Python code, and then easily analyze and visualize them. You can just as easily download and work with amenities/points of interest, building footprints, elevation data, street bearings/orientations, speed/travel time, and network routing.

Citation info: Boeing, G. 2017. OSMnx: New Methods for Acquiring, Constructing, Analyzing, and Visualizing Complex Street Networks. Computers, Environment and Urban Systems 65, 126-139. doi:10.1016/j.compenvurbsys.2017.05.004

Read the docs or see usage examples and demos on GitHub.

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