Spright predicts planetary masses, densities, and radial velocity semi-amplitudes given a small planet's radius or planetary radii given the small planet's mass. The package contains two relations: one for small planets orbiting M dwarfs and another for planets orbiting FGK stars. The radial velocity semi-amplitude can be predicted given the planet's radius, orbital period, orbital eccentricity (optional), and the host star mass. Spright offers both a command line script and a set of Python classes. The command line script can directly create publication-quality plots, and the classes offer a full access to the predicted numerical distributions.

k2photometry reads, reduces and detrends K2 photometry and searches for transiting planets. MAST database pixel files are used as input; the output includes raw lightcurves, detrended lightcurves and a transit search can be performed as well. Stellar variability is not typically well-preserved but parameters can be tweaked to change that. The BLS algorithm used to detect periodic events is a Python implementation by Ruth Angus and Dan Foreman-Mackey (https://github.com/dfm/python-bls).