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For organic molecules adsorbed as well-oriented ultra-thin films on metallicsurfaces, angle-resolved photoemission spectroscopy has evolved into atechnique called photoemission tomography (PT). By approximating the finalstate of the photoemitted electron as a free electron, PT uses the angulardependence of the photocurrent, a so-called momentum map or k-map, andinterprets it as the Fourier transform of the initial state's molecularorbital, thereby gains insights into the geometric and electronic structure oforganic/metal interfaces.  In this contribution, we present kMap.py which is a Python program thatenables the user, via a PyQt-based graphical user interface, to simulatephotoemission momentum maps of molecular orbitals and to perform a one-to-onecomparison between simulation and experiment. Based on the plane waveapproximation for the final state, simulated momentum maps are computednumerically from a fast Fourier transform of real space molecular orbitaldistributions, which are used as program input and taken from densityfunctional calculations. The program allows the user to vary a number ofsimulation parameters such as the final state kinetic energy, the molecularorientation or the polarization state of the incident light field. Moreover,also experimental photoemission data can be loaded into the program enabling adirect visual comparison as well as an automatic optimization procedure todetermine structural parameters of the molecules or weights of molecularorbitals contributions. With an increasing number of experimental groupsemploying photoemission tomography to study adsorbate layers, we expect kMap.pyto serve as an ideal analysis software to further extend the applicability ofPT.

kMap.py: A Python program for simulation and data analysis in photoemission tomography