Blender addons to make the bridge between Blender and geographic data
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Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
Python tools for geographic data
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
Rasterio reads and writes geospatial raster datasets
Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis
QuackOSM: an open-source Python and CLI tool for reading OpenStreetMap PBF files using DuckDB
City Energy Analyst (CEA) is an open-source urban building energy modeling (UBEM) platform and computation tool for the design of low-carbon and highly efficient cities.
Correct GeoJSON geometries that cross the 180th meridian
Open framework for calculating spatial urban sprawl indices and performing disaggregated population estimates using open data
AI-powered platform for OSINT intelligence analysis. Features archive discovery with hypothesis-driven investigation, GLiNER entity extraction, Mapbox geospatial visualization, network analysis, and document processing. Built with FastAPI, Next.js, Weaviate, and DSPy.
A Python library built on pandas and geopandas for linearly referenced data management, engineering, and analysis using the DataFrame accessor pattern (.lr).