A cluster computing framework for processing large-scale geospatial data
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Java map matching library for integrating the map into software and services with state-of-the-art online and offline map matching that can be used stand-alone and in the cloud.
Open-source backend for Kepler.gl. Self-hosted alternative to CARTO and Foursquare Studio.
The Spatial Framework for Hadoop allows developers and data scientists to use the Hadoop data processing system for spatial data analysis.
Proof of concept developer code and samples to help be successful with all ArcGIS developer products (Python, NET, JavaScript, Android…). The repository is designed to be an exchange for sharing coding conventions and wisdom to developers at all skill levels.