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

A standardized temporal-spatial identifier framework for urban context analysis with H3 indexing, multi-dimensional scoring, and ML-based quality assessment.

superblockify

BikeNetKit Python package to partition urban street networks into Superblock-like neighborhoods

cityscope

Real estate investment research data pipeline — population, employment, wages for US metros

bikenetlib

BikeNetKit Python core utility package

urbancode

A package for universal urban analysis

pysochrone

This library is a Rust-powered Python library for fast local reachability, routing, and isochrone analysis on OpenStreetMap road networks. It builds a reusable SpatialGraph once, then runs repeated network-aware queries directly in process without deploying a server.

urban-mapper-community

[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!