This is the first release of the dtw-sofar library. It modifies the regular dynamic time warping algorithm to be compatible with 'iterative time series' (when future points in the time series are received one by one). As such, dtw-sofar v0.1.2 implements the "Dynamic Time Warping Algorithm" for multimodal research in a way it can warp the time series received "so far." This version assumes the time series (which will be aligned) to be numpy arrays.