  High-resolution optical integral field units (IFUs) are rapidly expanding our
knowledge of extragalactic emission nebulae in galaxies and galaxy clusters. By
studying the spectra of these objects -- which include classic HII regions,
supernova remnants, planetary nebulae, and cluster filaments -- we are able to
constrain their kinematics (velocity and velocity dispersion). In conjunction
with additional tools, such as the BPT diagram, we can further classify
emission regions based on strong emission-line flux ratios. LUCI is a
simple-to-use python module intended to facilitate the rapid analysis of IFU
spectra. LUCI does this by integrating well-developed pre-existing python tools
such as astropy and scipy with new machine learning tools for spectral analysis
(Rhea et al. 2020). Furthermore, LUCI provides several easy-to-use tools to
access and fit SITELLE data cubes.
