What are the most reputable and robust correlation measures for compositional data like gene expression profiles?

To my knowledge there arebiweight midcorrelation which is implemented in WGCNA and SparCC. Biweight midcorrelation is relatively easy to code up to use outside of R's environment. There is also SparCC which is another robust correlation measure implemented in Python and very difficult to reverse engineer to use outside of the command-line.

Are there are any others I can look up? Preferably without having to use a separate program to run the measure (but still open to this).