diff --git a/processing/post/addSpectralDecomposition.py b/processing/post/addSpectralDecomposition.py
deleted file mode 100755
index 01371cede..000000000
--- a/processing/post/addSpectralDecomposition.py
+++ /dev/null
@@ -1,58 +0,0 @@
-#!/usr/bin/env python3
-
-import os
-import sys
-from io import StringIO
-from optparse import OptionParser
-
-import numpy as np
-
-import damask
-
-
-scriptName = os.path.splitext(os.path.basename(__file__))[0]
-scriptID   = ' '.join([scriptName,damask.version])
-
-
-# --------------------------------------------------------------------
-#                                MAIN
-# --------------------------------------------------------------------
-
-parser = OptionParser(option_class=damask.extendableOption, usage='%prog options [ASCIItable(s)]', description = """
-Add column(s) containing eigenvalues and eigenvectors of requested symmetric tensor column(s).
-
-""", version = scriptID)
-
-parser.add_option('-t','--tensor',
-                  dest = 'tensor',
-                  action = 'extend', metavar = '<string LIST>',
-                  help = 'heading of columns containing tensor field values')
-parser.add_option('--no-check',
-                  dest = 'rh',
-                  action = 'store_false',
-                  help = 'skip check for right-handed eigenvector basis')
-
-parser.set_defaults(rh = True,
-                    )
-
-(options,filenames) = parser.parse_args()
-if filenames == []: filenames = [None]
-
-for name in filenames:
-    damask.util.report(scriptName,name)
-
-    table = damask.Table.from_ASCII(StringIO(''.join(sys.stdin.read())) if name is None else name)
-
-    for tensor in options.tensor:
-
-        t = table.get(tensor).reshape(-1,3,3)
-        (u,v) = np.linalg.eigh(damask.mechanics.symmetric(t))
-        if options.rh: v[np.linalg.det(v) < 0.0,:,2] *= -1.0
-
-        for i,o in enumerate(['Min','Mid','Max']):
-            table.add('eigval{}({})'.format(o,tensor),u[:,i],  scriptID+' '+' '.join(sys.argv[1:]))
-
-        for i,o in enumerate(['Min','Mid','Max']):
-            table.add('eigvec{}({})'.format(o,tensor),v[:,:,i],scriptID+' '+' '.join(sys.argv[1:]))
-        
-    table.to_ASCII(sys.stdout if name is None else name)