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 - free and open-source geospatial processing engine

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

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

Geospatial resources for web development :earth_africa: 🗺️

Transform geospatial relations into graphs for Graph Neural Networks and network analysis

Course materials for: Geospatial Data Science

Geo Spatial Data Analytics on Spark

MicaSense RedEdge and Altum image processing tutorials

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.

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.

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.

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

a package to create and plot Voronoi regions within geographic boundaries

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 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)

:globe_with_meridians: Interactive Workshop on GeoAnalysis using PySpark

Universal solution for geospatial data tailored to data lakehouse systems for the first time in the industry

A Python package for installing optional dependencies for geemap and leafmap.

A crash course into using Python for geospatial analysis.

Arion is the first agentic AI desktop app for geospatial analysis, developed by GeoRetina Inc.

Geospatial Land Availability for Energy Systems

Extract and Visualize location from any file

TerrSet Geospatial Monitoring and Modeling Software