Haven't used all of them but I suggest that instead of focusing on the models focus on the data, review what transformation or cleaning on data could provide better results. Decomposition, decorrelation, log, wavelets etc

If the models use the same algorithm probably results won't change at all. For example Wavelet Toolbox on Matlab and PyWavelets provide same results even though are different teams of developers, but they use the same DWT algorithm.