AstroQ optimizes the allocation and ordering of astronomical observations for the KPF Community Cadence (KPF-CC) program. The autoscheduling framework solves two related scheduling problems: determining which targets should be observed on which nights within a semester and distributing instrument nights optimally across the observing queue. The software reads target request information and configuration files, then computes observation schedules using optimization routines that rely on the Gurobi solver. AstroQ integrates with a Traveling Telescope Problem (TTP) solver to determine the optimal sequence of observations within a night by minimizing slew paths between targets. Example configurations and command-line tools allow users to generate schedules from input request files and analyze resulting observation plans.

ethraid characterizes long-period bound companions using partial-orbit data by analyzing RV trends and curvature to constrain the properties, including mass and separation, of distant giant planets and other long-period companions. It jointly models radial velocity, astrometric, and direct imaging measurements in a Bayesian framework, using Doppler, astrometric, and imaging constraints to derive posterior distributions on companion parameters. A command-line interface runs orbit fits, generates plots, and reports 95% confidence intervals in a single step. The code returns raw and processed posterior samples and up to three plots: a joint two-dimensional posterior in mass–separation space, and marginalized one-dimensional PDFs and CDFs. ethraid includes fitting tools, with modules for astrometry fitting and radial-velocity fitting.