OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.

Computational tools for urban analysis

Traffic analysis using Automatic Number Plate Recognition (ANPR) cameras.

OSMuf: Analyse urban form with Python and OpenStreetMap. Quantitative analysis of urban blocks and built density. Built on OSMnx.

A small wrapper for visualizing street networks and making artistic maps with OpenStreetMap and Networkx

Plotting the Optimal Route in Python for Data Scientists using the Dijkstra Algorithm

Source code for superblockify

Developing a bicycling infrastructure classification system for Greater Melbourne using OpenStreetMap

lmr-analyzer: A powerful toolkit to analyze the interaction between last mile operations and the street network design.

Create map waypoints and layers from open data sources

Solving the Chinese Postman problem: calculating a path to clear the snow in Montréal using osmnx

Dijkstra adjacency distance matrices were calculated for 40 cities from traffic sensor locations provide by UTD19 https://utd19.ethz.ch/.

Agent-based activity generation of runners for city infrastructure planning.

Generate map templates for Farming Simulator from real places.

Simple routing engine for OpenStreetMaps with easy to customize profiles/weight-functions.

Python CLI for analyzing and simulating GPX routes.

Easy Tactical Map Generation for outdoor competitive sports, with a specific focus on Airsoft and Paintball.

Implementation of a GPS Telegram Bot using Python

An app to build your modern city poster