Joblib is a set of tools to provide lightweight pipelining in Python.
In particular, joblib offers transparent disk-caching of the output
values and lazy re-evaluation (memoize pattern), easy simple parallel
computing, and logging and tracing of the execution.  Joblib is
optimized to be fast and robust in particular on large data and has
specific optimizations for numpy arrays.

Homepage:
https://joblib.readthedocs.io/
