WebGL2 powered visualization framework

Long list of geospatial tools and resources

A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment

GRASS GIS - free and open-source geospatial processing engine

A collection of Python packages for geospatial analysis with binder-ready notebook examples

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

Course materials for: Geospatial Data Science

Geo Spatial Data Analytics on Spark

Geospatial resources for web development 🌍 🗺️

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

MicaSense RedEdge and Altum image processing tutorials

Public Fused UDFs. Build any scale workflows with the Fused Python SDK and Workbench webapp, and integrate them into your stack with the Fused Hosted API.

a package to create and plot Voronoi regions within geographic boundaries

Over 60 recipes to work with topology, overlays and indoor routing

A Python library for performing geospatial data analysis which reimplements turf.js.

A lightweight and efficient Python Morton encoder with support for geo-hashing

GRASS GIS Addons Repository

WASM + JS port of GEOS

Actinia Core is an open source REST API for scalable, distributed, high performance processing of geographical data that uses mainly GRASS GIS for computational tasks (DOI: https://doi.org/10.5281/zenodo.5879231) | Tutorial: https://actinia-org.github.io/actinia-core/ | Docker: https://hub.docker.com/r/mundialis/actinia-core

An open-source benchmark framework for evaluating state-of-the-art deep learning approaches for image classification in Earth Observation (EO)