  Gravitational waves provide a unique tool for observational astronomy. While
the first LIGO--Virgo catalogue of gravitational-wave transients (GWTC-1)
contains eleven signals from black hole and neutron star binaries, the number
of observations is increasing rapidly as detector sensitivity improves. To
extract information from the observed signals, it is imperative to have fast,
flexible, and scalable inference techniques. In a previous paper, we introduced
BILBY: a modular and user-friendly Bayesian inference library adapted to
address the needs of gravitational-wave inference. In this work, we demonstrate
that BILBY produces reliable results for simulated gravitational-wave signals
from compact binary mergers, and verify that it accurately reproduces results
reported for the eleven GWTC-1 signals. Additionally, we provide configuration
and output files for all analyses to allow for easy reproduction, modification,
and future use. This work establishes that BILBY is primed and ready to analyse
the rapidly growing population of compact binary coalescence gravitational-wave
signals.
