A lightweight (and hopefully quick) implementation of dynamic time warping (and visualizations) in python/numpy/cython (some code ported from Pierre Rouanet's implementation).
Compile the cython code with
python setup.py build_ext --inplace
and you should be good to go.
import pydtw
x0 = <T_0 x D array>
x1 = <T_1 x D array>
dist, cost, path = pydtw.dtw(x0, x1)
where dist is the dtw distance, cost is a T_0 x T_1 matrix of pairwise distances and path is a python list of two numpy arrays that describe the index sets that best align x0 and x1.
See the influenza example for a more concrete usage.