  The CLEAN algorithm, first published by H\"{o}gbom and its later variants
such as Multiscale CLEAN (msCLEAN) by Cornwell, has been the most popular tool
for deconvolution in radio astronomy. Interferometric imaging used in aperture
synthesis radio telescopes requires deconvolution for removal of the telescopes
point spread function from the observed images. We have compared source fluxes
produced by different implementations of H\"{o}gbom and msCLEAN (WSCLEAN, CASA)
with a prototype implementation of H\"{o}gbom and msCLEAN for the Square
Kilometer Array (SKA) on two datasets. First is a simulation of multiple point
sources of known intensity using H\"{o}gbom, where none of the software
packages detected all the simulated point sources to within 1.0% of the
simulated values. The second is of supernova remnant G055.7+3.4 taken by the
Karl G. Jansky Very Large Array (VLA) using msCLEAN, where each of the software
packages produced different images for the same settings.
