Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
- Updated
Jul 31, 2026 - Python
Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
Gallery of OSMnx tutorials, usage examples, and feature demonstrations.
Course materials for: Geospatial Data Science
OSM in memory
Distances on Directed Graphs in R
Tools for the extraction of OpenStreetMap street network data
How to animate objects moving on OSMnx graph?
A Python package for extracting the Computational Image of the City from geospatial datasets
Convert Shapefile to the Network and find number of shortest paths
Urban highways are barriers to social ties: Open source data and code for the research paper
lmr-analyzer: A powerful toolkit to analyze the interaction between last mile operations and the street network design.
Street Sense: Learning from Google Street View
Street Networks Isolines and Isochrones
Randomly sample locations on streets
OSMnx for R: download, model and analyze OpenStreetMap street networks (tidyverse API + Rust core)
🛣️ AI app for querying street networks
Desktop spatial configuration analysis for urban street networks, extending depthmapX with UrbanConnect workflows.
examples for isolines - a python library for street networks isolines and isochrones : https://github.com/mlichter2/isolines
Detecting streets in the area of the Khalifa International Stadium. A deep learning approach with nano satellite images.
Render a DUI-based ATM system for FiveM with realistic banking UI, framework support for QBCore, ESX, and Qbox, and in-game texture display