Blender addons to make the bridge between Blender and geographic data
- blender
- addon
- geospatial
- gis
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Blender addons to make the bridge between Blender and geographic data
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.
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
Rasterio reads and writes geospatial raster datasets
An open source library and framework for deep learning on satellite and aerial imagery.
Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis
Cartopy - a cartographic python library with matplotlib support
Give satellite imagery, terrain data, buildings, streetview photos to your LLM
framework for large-scale SAR satellite data processing
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.
The Geospatial Neighborhood Analysis Package
peartree: A library for converting transit data into a directed graph for sketch network analysis.
Encode spatial data as topology in Python! 🌍 https://mattijn.github.io/topojson
Tools for working with GTFS public transit data in ArcGIS
GeoMet - Pure Python conversion library for common geospatial data formats
Package with useful functions to create geo-spatial visualizations from a GTFS.
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 command-line tool for reducing the size of GeoJSON files.