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Numerical simulations of Einstein's field equations provide unique insightsinto the physics of compact objects moving at relativistic speeds, and whichare driven by strong gravitational interactions. Numerical relativity hasplayed a key role to firmly establish gravitational wave astrophysics as a newfield of research, and it is now paving the way to establish whethergravitational wave radiation emitted from compact binary mergers is accompaniedby electromagnetic and astro-particle counterparts. As numerical relativitycontinues to blend in with routine gravitational wave data analyses to validatethe discovery of gravitational wave events, it is essential to develop opensource tools to streamline these studies. Motivated by our own experience asusers and developers of the open source, community software, the EinsteinToolkit, we present an open source, Python package that is ideally suited tomonitor and post-process the data products of numerical relativity simulations,and compute the gravitational wave strain at future null infinity in highperformance environments. We showcase the application of this new package topost-process a large numerical relativity catalog and extract higher-orderwaveform modes from numerical relativity simulations of eccentric binary blackhole mergers and neutron star mergers. This new software fills a critical voidin the arsenal of tools provided by the Einstein Toolkit Consortium to thenumerical relativity community.

Python Open Source Waveform Extractor (POWER): An open source, Python package to monitor and post-process numerical relativity simulations