Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
- openstreetmap
- gis
- street-networks
- overpass-api
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Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
An open source library and framework for deep learning on satellite and aerial imagery.
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis
Earth observation processing framework for machine learning in Python
Self-hosted outdoor activity tracker :bicyclist: [mirror of codeberg repository: https://codeberg.org/FitTrackee/FitTrackee]
framework for large-scale SAR satellite data processing
Automated mapping of pedestrian networks from aerial imagery tiles
peartree: A library for converting transit data into a directed graph for sketch network analysis.
Tools for working with GTFS public transit data in ArcGIS
Public transport network analysis using Python 🚊🚇🚃🚌🛳️🚡🚠🚞
Open framework for calculating spatial urban sprawl indices and performing disaggregated population estimates using open data
A parser for the opening_hours fields from OpenStreetMap