Python is a versatile programming language that has found widespread use in data analysis boasting a broad range of specialized scientific libraries. HyperSpy is an open source python library dedicated to the interactive analysis of multi-dimensional datasets, in particular spectrum images (one or two-dimensional arrays of spectra), in an easy and reproducible fashion. HyperSpy facilitates the application of analytical procedures operating on individual spectra to a multi-dimensional dataset and gives easy access to tools that exploit the multi-dimensionality of the dataset. LumiSpy is an extension to HyperSpy specifically for luminescence spectroscopy data. It is aimed at helping with the analysis of luminescence spectroscopy data, in particular continuous as well as time-resolved catho-, and photoluminescence spectral imaging, but also electroluminescence, and Raman spectroscopy. Import from a range of scientific data formats, including the relevant metadata, is supported through the RosettaSciIO library. Through the integration with HyperSpy, LumiSpy is particularly well suited not only for the analysis of single spectra, but also for the treatment of spectral maps, which includes the fitting of complex models to the data. The poster will give an introduction to the HyperSpy and LumiSpy libraries and where the development is heading.