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.