🌐 Streamline AI services by managing multiple accounts and routing requests with ease using this flexible API gateway.

A collection of PKGBUILDs for Arch Linux not included in the AUR or modified from the AUR versions.

Python toolbox to process large geospatial vector files faster.

Pipeline for Observational Data Processing Analysis and Collaboration

🌐geo!space - An IDE for working with geospatial data and workflows automation.

InSAR phase linking library for creating surface displacement maps using persistent scatterer (PS) and distributed scatterer (DS) processing

Cloud-native flood risk intelligence system for Greater Accra, Ghana — automated 5-layer spatial pipeline serving live district-level risk scores

ForcingProcessor calculates NextGen catchment-averaged forcings from gridded sources like the National Water Model.

Repository with modules for preprocessing and analyzing geospatial data.

Raster manipulation for the Julia language

Integration examples and showcase of <geosys/>platform capabilities.

Console based GIS libraries that are completely open source. Will we ever support graphical rendering outside of a console? The world may never know!

Analysis of georeferenced rasters, vectors and point clouds

Plugins extending pygeoapi to expose scientific processing services compliant with OGC API - Processes.

Software platform for exposing and executing scientific processes via OGC API - Processes using pygeoapi plugins and external execution services

spatial modelling and optimisation framework

This repository contains work with QGIS, GDAL command line tools, and other geospatial utilities.

Polars vs Pandas speed comparison on NYC taxi data. Demonstrates 2-10x speedup using groupby, aggregations, and sorting operations on 30M+ rows. Benchmarks show Polars' parallel execution advantages for data analysis workloads.

ETL para descargar, organizar y preprocesar imágenes LANDSAT TM, ETM+ y OLI/TIRS para construcción de índices espectrales (MNDWI).

Geospatial monitoring platform for offshore energy infrastructure. Visualizes oil & gas platforms, wind farms, wells, and pipelines using React, TypeScript, Supabase, and PostGIS. Data from EMODnet and BOEM.