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.
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
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
Earth observation processing framework for machine learning in Python
Python package for earth-observing satellite data processing
framework for large-scale SAR satellite data processing
Command line tools for processing and uploading Mapillary imagery
Python Wrapper to access the Overpass API
The Complete Street Rule for ArcGIS CityEngine is a scenario oriented design tool intended to enable users to quickly create procedurally generated multimodal streets.
Tools for working with GTFS public transit data in ArcGIS
Convert OSM and Overpass XML/JSON to GeoJSON
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.
Collect real-time transit data and process it into a retroactive GTFS 'schedule' which can be used for routing/analysis
🗺️ List of GeoJSON invalid geometry issues with example files
OpenStreetMap Boundaries for the World!
Micropython implementation of assisted location services (AGPS)
A MicroPython class for the Ebyte E22 Series LoRa modules
A Python library built on pandas and geopandas for linearly referenced data management, engineering, and analysis using the DataFrame accessor pattern (.lr).
Converts GTFS blocks into a series of trip-to-trip transfers using heuristics to classify transfer type.