Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely
- matplotlib
- jupyter-notebook
- python
- generative-art
57,138 visible repositories in the index
1–24 of 108 · Most stars
Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely
Transform your favorite cities into beautiful, minimalist designs. MapToPoster lets you create and export visually striking map posters with code.
Open-source intelligence for the global theater. Track everything from the corporate/private jets of the wealthy, and spy satellites, to seismic events in one unified interface. Hook an AI agent up to have it parse through data and find previously unseen correlations. The knowledge is available to all but rarely aggregated in the open, until now.
🌍 Discover our global repository of countries, states, and cities! 🏙️ Get comprehensive data in JSON, SQL, PSQL, SQLSERVER, MONGODB, SQLITE, XML, YAML, and CSV formats. Access ISO2, ISO3 codes, country code, capital, native language, timezones (for countries), and more. #countries #states #cities
Blender addons to make the bridge between Blender and geographic data
Python Data. Leaflet.js Maps.
A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
Free and open-source map hosting solution with custom styles for websites and apps, using OpenStreetMap data
Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
Python tools for geographic data
Geocoding library for Python.
Open Source search based on OpenStreetMap 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
🖼️ Create beautiful maps from OpenStreetMap data in a streamlit webapp
Rasterio reads and writes geospatial raster datasets
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
Cartopy - a cartographic python library with matplotlib support
PySAL: Python Spatial Analysis Library Meta-Package
Train a deep learning net with OpenStreetMap features and satellite imagery.
Earth observation processing framework for machine learning in Python