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A Voronoi diagram is
the division of a space into regions around a set of seed points such
that each point in a given region is closer to that seed point than
any other. Voronoi tessellations can be used in various density and
spatial analysis, e.g. for characterizing membranes or interaction
surfaces/binding sites.
https://math.lbl.gov/voro++/ does PBC so is probably better in the longer term. Alternatively you'd have to use the "augment coordinates" approach to get PBC-like behaviour.
There is a ticket open to add PBC support in SciPy: scipy/scipy#11858. It probably needs a champion though. For "planar" membranes if you really need PBC and there's another tool you want to wrap I suppose that could make sense.
Overview
A Voronoi diagram is
the division of a space into regions around a set of seed points such
that each point in a given region is closer to that seed point than
any other. Voronoi tessellations can be used in various density and
spatial analysis, e.g. for characterizing membranes or interaction
surfaces/binding sites.
Voronoi tessellation and related algorithms (e.g. Delaunay triangulation)
have been implemented in scipy (https://docs.scipy.org/doc/scipy/reference/spatial.html#delaunay-triangulation-convex-hulls-and-voronoi-diagrams).
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