Description
Adds lightweight pipelining, caching, and simple parallel execution helpers to Python projects. It is widely used in scientific computing and machine-learning workflows to avoid repeating expensive calculations.
It can create cache files and run work in multiple processes. Users should choose cache locations and parallelism carefully to avoid filling disks or overloading a machine.