  We introduce a Python framework designed to automate the most common tasks
associated with the extraction and upscaling of the statistics of single-impact
crater functions to inform coefficients of continuum equations describing
surface morphology evolution. Designed with ease-of-use in mind, the framework
allows users to extract meaningful statistical estimates with very short Python
programs. Wrappers to interface with specific simulation packages, routines for
statistical extraction of output, and fitting and differentiation libraries are
all hidden behind simple, high-level user-facing functions. In addition, the
framework is extensible, allowing advanced users to specify the collection of
specialized statistics or the creation of customized plots. The framework is
hosted on the BitBucket service under an open-source license, with the aim of
helping non-specialists easily extract preliminary estimates of relevant crater
function results associated with a particular experimental system.
