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The field of Urban Building Energy Modeling (UBEM), which assesses the energy performance of buildings in cities relies on advanced physical models known as building energy models that are representative of the building stock. These building archetypes are often developed in specific modelling platforms such as EnergyPlus or TRNSYS, two leading simulation engines in the field of building energy modeling. EnergyPlus is an open source simulation engine developed by the US Department of Energy. TRNSYS is a well established and specialized simulation platform used to simulate the behavior of transient systems. The Urban Modeling Interface (UMI), developed by the MIT Sustainable Design Lab, leverages EnergyPlus to enable building energy modeling at the urban scale. The three tools offer many advantages in their respective fields, but all suffer from the same flaw: creating building archetypes for any platform is a time-consuming, tedious and error-prone process. archetypal is a Python package that helps handling collections of such archetypes and to enable the interoperability between these energy simulation platforms to accelerate the creation of reliable urban building energy models. This package offers three major capabilities for researchers and practitioners:

archetypal: A Python package for collecting, simulating, converting and analyzing building archetypes