DESPOTIC is a library to Derive the Energetics and SPectra of Optically Thick Interstellar Clouds. Its capabilities include calculating spectral line luminosities from clouds of specified physical properties and compositions, predicting line profiles, calculating rates of heating and cooling due to a wide range of processes.
The physical model, equations solved, and some tests and example applications are described in [Krumholz (2014)](http://adsabs.harvard.edu/abs/2014MNRAS.437.1662K).
TurbuStat implements a 14 turbulence-based statistics described in the astronomical literature. TurbuStat also defines a distance metrics for each statistic to quantitatively compare spectral-line data cubes, as well as column density, integrated intensity, or other moment maps.
If you make use of this package in a publication, please cite the accompanying paper: Koch et al. 2019.
Glue is an open-source Python library to explore relationships within and between related datasets.
With Glue, users can create scatter plots, histograms and images (2D and 3D) of their data. Glue is focused on the brushing and linking paradigm, where selections in any graph propagate to all others.