PyRank
  • Search
  • PyPI
  • GitHub
  • Insights
  • Compare
  • Advisories
  • Ecosystem
  • About

Urban Data Science Python Packages

Python packages with the GitHub topic urban-data-science. Sorted by monthly downloads, with stars and forks.
chingiztob
ferrobus

High-performance multimodal routing library for geospatial analysis workflows

5K 6 1
BikeNetKit
growbikenet

BikeNetKit Python package to grow urban bicycle networks

2K 10 4
BikeNetKit
linkbikenet

BikeNetKit Python package to link disconnected bicycle network components

2K 3 0
BikeNetKit
fixbikenet

BikeNetKit Python package to detect gaps in developed bicycle networks

1K 7 0
oturns
geosnap

The Geospatial Neighborhood Analysis Package

891 277 33
billbillbilly
urban-worm

Urban-WORM (Workflow Of Reproducible Multimodal Inference) is a user-friendly high-level interface that is designed for adding rich and meaningful captions for crow-sourced data with geotags using multimodal models.

692 6 4
BikeNetKit
sortbikenet

BikeNetKit Python package to prioritize developments in planned bicycle networks

418 1 0
BikeNetKit
bikenetlib

BikeNetKit Python core utility package

412 2 0
BikeNetKit
superblockify

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

277 33 4
JoaoCarabetta
osm-road-length

Calculate Open Street Maps road length for any polygon

134 18 2
EL-BID
urbanpy

A library to download, process and visualize high resolution urban data. 

125 132 36
kyleloving
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.

125 19 0
envdes
pyclmuapp

Integration and Execution of the Urban Climate Model in a Containerized Environment

111 0 2
kyleloving
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.

48 19 0
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology