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Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap
OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap. You can download and model walking, driving, or biking networks with a single line of code then analyze and visualize them. You can just as easily work with urban amenities/points of interest, building footprints, transit stops, elevation data, street orientations, speed/travel time, and routing.
OSMnx 2.0 is in beta: read the migration guide.
If you use OSMnx in your work, please cite the paper:
Boeing, G. (2024). Modeling and Analyzing Urban Networks and Amenities with OSMnx. Working paper. https://geoffboeing.com/publications/osmnx-paper/
First read the Getting Started guide for an introduction to the package and FAQ.
Then work through the OSMnx Examples Gallery for step-by-step tutorials and sample code.
Follow the Installation guide to install OSMnx.
If you have any trouble, consult the User Reference. The OSMnx repository is hosted on GitHub. If you have a "how-to" or usage question, please ask it on StackOverflow, as we reserve the repository's issue tracker for bug tracking and feature development.
OSMnx is open source and licensed under the MIT license. OpenStreetMap's open data license requires that derivative works provide proper attribution. Refer to the Getting Started guide for usage limitations.
FAQs
Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap
We found that osmnx demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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