papy 1.0.4

flow-based, parallel and distributed computational pipelines, includes a lazy, parallel, remote, multi-task map function

The papy package provides an implementation of the flow-based programming paradigm in Python that enables the construction and deployment of distributed workflows.

The NuMap package is a parallel (thread- or process-based, local or remote), buffered, multi-task, itertools.imap or multiprocessing.Pool.imap function replacment. Like imap it evaluates a function on elements of a sequence or iterable, and it does so lazily. Laziness can be adjusted via the “stride” and “buffer” arguments. Unlike imap, NuMap supports multiple pairs of function and iterable tasks. The tasks are not queued rather they are interwoven and share a pool or worker “processes” or “threads” and a memory “buffer”.

Documentation can be found here

The package is tested on Python 2.7.6