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

geojson-modelica-translator

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

growbikenet

BikeNetKit Python package to grow urban bicycle networks

urbancode

A package for universal urban analysis

cityscope

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

geofeaturekit

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

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.

ucid

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

graphways

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.

fixbikenet

Python package to detect gaps in developed bicycle networks

superblockify

Source code for superblockify

bikenetlib

BikeNetKit Python core utility package

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!

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!