joblib (conda): "A set of tools to provide lightweight pipelining in Python. In particular: transparent disk-caching of functions and lazy re-evaluation (memoize pattern), easy simple parallel computing. Joblib is optimized to be fast and robust on large data in particular and has specific optimizations for numpy arrays."
Keywords: caching|memoization|multiprocessing|parallel-computing|python|threading