Here are links to the related Python package "ChernoffFace" at:

• PyPI

• GitHub

Here is a plot of the "USA arrests" data using that Python package:

Remark: Because of the way the Python matplotlib library is designed the faces in the plot above are wide instead of being long as in the corresponding WL plot.

The MathematicaVsR at GitHub project BrowsingDataWithChernoffFaces compares Mathematica and R codes for interactive data browsers that utilize Chernoff faces.

Here is an image (based on the built-in USA arrests data) from the album of screenshots of the Mathematica-made browser:

Here is a combination of Chernoff faces and SectorChart plots:

facesGrid =
 Grid[ArrayReshape[#, {3, 4}, ""], Dividers -> All, Alignment -> {Left, Top}] &@
  MapThread[
   (asc = 
      AssociationThread[
       Take[Keys@ChernoffFace["FacePartsProperties"], 
         Length[#3] + 1] -> Append[#3, #4]];
     Grid[{
       {Row[{"row:", #1, ", x=", #2}], SpanFromLeft},
       {ChernoffFace[Join[asc, <|"FaceColor" -> Blend[{White, Lighter[Yellow]}, #4]|>], 
         ImageSize -> 150, AspectRatio -> Automatic], 
        SectorChart[Transpose@{ConstantArray[1, Length[#3]], #5}]}}]) &
   , {Range[Length[data]], First /@ data, 
    Transpose[Rescale /@ Transpose[Rest /@ data]], 
    PearsonChiSquareTest[Standardize[Rest[#]], NormalDistribution[0, 1]] & /@ data, 
    Rest /@ data}]