A Python package to download, model, analyze, and visualize street networks and geospatial data from OpenStreetMap.
OSMnx is a Python package that downloads, models, analyzes, and visualizes street networks and other geospatial features from OpenStreetMap. It solves the problem of accessing and working with complex urban spatial data by providing a simple, programmatic interface for researchers and developers. With just a few lines of code, users can retrieve networks for walking, driving, or biking, along with amenities, buildings, and elevation data.
Urban planners, transportation researchers, geospatial analysts, and data scientists who need to analyze street networks, urban form, or accessibility using open data.
Developers choose OSMnx because it dramatically reduces the complexity of working with OpenStreetMap data, offering a streamlined, Pythonic API for network analysis and visualization that is both powerful and easy to use.
Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
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Allows downloading street networks for walking, driving, or biking with a single line of code, as emphasized in the README's key features, drastically reducing setup time.
Includes built-in functions for analyzing street orientations, speed, travel time, and routing, enabling advanced urban studies without requiring additional libraries.
Offers a detailed user reference, examples gallery, and active support on StackOverflow, as mentioned in the support section, facilitating easier troubleshooting.
Licensed under MIT and leverages free OpenStreetMap data, making it cost-effective for research and development, with clear attribution guidelines in the getting started guide.
Relies on OpenStreetMap's crowd-sourced data, which can have inconsistent completeness and accuracy across regions, potentially affecting analysis reliability.
Downloading and processing networks for very large cities or regions can be slow and memory-intensive, as hinted in usage limitations for extensive spatial queries.
Requires proper attribution to OpenStreetMap for derivative works, adding compliance steps that might be cumbersome for commercial or published outputs.