Blender addons to make the bridge between Blender and geographic data

OSMnx is a Python package to easily 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

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

Free and open-source map hosting solution with custom styles for websites and apps, using OpenStreetMap data

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

An open source library and framework for deep learning on satellite and aerial imagery.

Satellite imagery for dummies.

Photogrammetry Guide. Photogrammetry is widely used for Aerial surveying, Agriculture, Architecture, 3D Games, Robotics, Archaeology, Construction, Emergency management, and Medical.

Python interface to PROJ (cartographic projections and coordinate transformations library)

A multi-page streamlit app for geospatial

Python bindings for H3, a hierarchical hexagonal geospatial indexing system

Specification for storing geospatial vector data (point, line, polygon) in Parquet

🌐 List & Map of 700+ companies for geospatial jobs (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)

A Python library for fast, interactive geospatial vector data visualization in Jupyter.

Processing and gridding spatial data, machine-learning style

GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more

Distributed version-control for geospatial and tabular data