  Scientific legacy code in MATLAB/Octave not compatible with modernization of
research workflows is vastly abundant throughout academic community.
Performance of non-vectorized code written in MATLAB/Octave represents a major
burden. A new programming language for technical computing Julia, promises to
address these issues. Although Julia syntax is similar to MATLAB/Octave,
porting code to Julia may be cumbersome for researchers. Here we present
MatlabCompat.jl - a library aimed at simplifying the conversion of your
MATLAB/Octave code to Julia. We show using a simplistic image analysis use case
that MATLAB/Octave code can be easily ported to high performant Julia using
MatlabCompat.jl.
