Colume (COLUMn to vOLUME) uses the statistical and spatial distribution of a column density map to infer a likely volume density distribution along each line of sight. The Python package incorporates all pre-processing (in particular re-sampling) functions needed to efficiently work on the column density maps. Colume's outputs are saved in Numpy format.

GaussPy+ is a fully automated Gaussian decomposition package for emission line spectra. It is based on GaussPy (ascl:1907.019) and offers several improvements, including automating preparatory steps and providing an accurate noise estimation, improving the fitting routine, and providing a routine to refit spectra based on neighboring fit solutions. GaussPy+ handles complex emission and low to moderate signal-to-noise values.