  We present a novel and fast application to generate glass-like initial
conditions for Lagrangian hydrodynamic schemes (e.g. Smoothed Particle
Hydrodynamics (SPH)) following arbitrary density models based on weighted
Voronoi tessellations and combine it with improved initial configurations and
an additional particle reshuffling scheme. We show our application's ability to
sample different kinds of density features and to converge properly towards the
given model density as well as a glass-like particle configuration. We analyse
convergence with iterations as well as with varying particle number.
Additionally, we demonstrate the versatility of the implemented algorithms by
providing an extensive test suite for standard (magneto-) hydrodynamic test
cases as well as a few common astrophysical applications. We indicate the
potential to bridge further between observational astronomy and simulations as
well as applicability to other fields of science by advanced features such as
describing a density model using gridded data for exampling from an image file
instead of an analytic model.
