Urban Planning Python Packages

osmnx

Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.

cityseer

Computational tools for urban analysis

ferrobus

High-performance multimodal routing library for geospatial analysis workflows

growbikenet

BikeNetKit Python package to grow urban bicycle networks

geojson-modelica-translator

GeoJSON to Modelica Translator that is focused on district energy system design and analysis.

geofeaturekit

GeoFeatureKit: From coordinates to geospatial features and travel-time accessibility for ML, urban analytics, and location intelligence.

socialmapper

Community accessibility analysis joining OpenStreetMap POIs with US Census demographics via travel-time metrics

fixbikenet

BikeNetKit Python package to detect gaps in developed bicycle networks

ucid

Urban Context Identifier - A standardized temporal identifier system for comprehensive urban context analysis across global cities

superblockify

Automated Generation, Visualization, and Analysis of potential Superblocks in Cities

cityscope

Real estate investment research data pipeline for US metros and cities

bikenetlib

BikeNetKit Python core utility package

urbancode

A package for universal urban analysis

pysochrone

This library provides a set of tools for generating isochrones from geographic coordinates. It leverages OpenStreetMap data to construct road networks and calculate areas accessible within specified time limits. The library is designed for both Rust and Python, offering high performance and easy integration into data science workflows.

urban-mapper-community

🗺️ Spatial Join & Enrich any urban layer given any external urban dataset of interest, streamline your urban analysis with Scikit-Learn-Like pipelines, and share your insights with the urban research community!

graphways

Fast OpenStreetMap reachability, routing, and isochrones from Python, powered by Rust.

iucm

The Integrated Urban Complexity Model

semio

The engine that powers semio.

urban-mapper

[COMMUNITY] — Spatial Join & Enrich any urban layer given any external urban dataset of interest, streamline your urban analysis with Scikit-Learn-Like pipelines, and share your insights with the urban research community!