  In this paper I describe the visualization toolkit Sator, which is designed
to read, analyze and visualize simulation data of the moving-mesh code Arepo.
It is written in Python and employs a graphical user interface based on the
Tkinter module, providing an interactive and intuitive user experience. All
three snapshot formats employed by Arepo are supported, including the HDF5
format. Individual snapshot fields, for example cell coordinates, are read
interactively only when they are needed. Refined fields used for plots, for
example the temperature, are constructed from snapshot fields and can be
introduced with only a few lines of code. Sator currently supports the
generation of image slices and projections, which can be zoomed, moved and
rotated with minimal computational effort. Furthermore, various phase space and
line plots can be created. Due to its modular nature, additional analysis and
plotting routines can be easily implemented and are under construction. The
code is well documented and is intended to be free and open source, such that
any member of the astrophysical community may contribute.
