  Since the first detection in 2015 of gravitational waves from compact binary
coalescence, improvements to the Advanced LIGO and Advanced Virgo detectors
have expanded our view into the universe for these signals. Searches of the of
the latest observing run (O3) have increased the number of detected signals to
90, at a rate of approximately 1 per week. Future observing runs are expected
to increase this even further. Bayesian analysis of the signals can reveal the
properties of the coalescing black holes and neutron stars by comparing
predicted waveforms to the observed data. The proliferating number of detected
signals, the increasing number of methods that have been deployed, and the
variety of waveform models create an ever-expanding number of analyses that can
be considered.
  Asimov is a python package which is designed to simplify and standardise the
process of configuring these analyses for a large number of events. It has
already been used in developing analyses in three major gravitational wave
catalog publications.
