https://github.com/archaeo-programmer/gillreath-brown_et_al_2019 • Science 23%

Map packages for Gillreath-Brown, Nagaoka, and Wolverton 2019, "A Geospatial Method for Estimating Soil Moisture Variability in Prehistoric Agricultural Landscapes"

https://github.com/archaeolink/samian • Science 13%

HTML rendering for rgzm/samian-lod

https://github.com/archaeolink/cigs_rdf • Science 26%

Cuneiform Site Index in RDF

https://github.com/archaeolink/ancientports_rdf • Science 10%

https://github.com/archaeolink/ceratyont • Science 23%

Ceramic Typologies Ontology (CeraTyOnt)

https://github.com/archaeonatural-cloud/poseidon-lod • Science 26%

https://github.com/archaeostat/archaeodata • Science 26%

Datasets for 'ArchaeoPhases'

https://github.com/archaeostat/archaeocal • Science 13%

An R Interface to OxCal

https://github.com/archit-0710/hope_ribbon • Science 26%

https://github.com/architectural-artificial-intelligence/sukkah_balcony_optimizer • Science 13%

https://github.com/architecture-building-systems/cea-examples • Science 26%

Example projects for CityEnergyAnalyst

https://github.com/architecture-building-systems/bipv_heat_dashboard • Science 26%

https://github.com/architecture-building-systems/bipv_heat_flask • Science 26%

Flask app hosted on ETHZ webinstance for the BIPV Heat project

https://github.com/architecture-building-systems/honey-badger-gui • Science 10%

A simple GUI for running honey-badger.exe using Gooey

https://github.com/archspec/archspec-go • Science 13%

Go package for detecting, labeling, and reasoning about microarchitectures

https://github.com/archspec/archspec-json • Science 26%

https://github.com/arcticsnow/topopyscale_examples • Science 26%

Set of examples on which to run TopoPyScale

https://github.com/arcticsnow/topopyscale_documentation • Science 26%

Documentation of TopoPyScale

https://github.com/arcticsnow/probextreme • Science 13%

Python Library for Extreme Event Characterisation

https://github.com/arcticsnow/pdal • Science 41%

PDAL is Point Data Abstraction Library. GDAL for point cloud data.