dispy

dispy: Execute parallel computations in a cluster, grid, or cloud with this comprehensive framework for Python

Dispy is a handy and comprehensive framework for Python that gives you the ability to combine the computing power of multiple processors in a single machine in a cluster, a grid, or a cloud. This handy application gives you the opportunity to easily evaluate several Python functions and even standalone programs with a wide variety of types and sizes of datasets.

It even comes equipped with SSL encryption that can be used to protecting information that’s sent via the nodes and a handy task scheduler that can help you be more productive in the long run. If you use Python and you’re in charge of fault recovery, Dispy is definitely something you’re going to want to have on hand to help you out.

Features:

- Allows you to easily evaluate several Python functions (as well as standalone programs) with various types and sizes of datasets.
- Lets you work independently from other computation tasks without communication dependencies.
- Can be integrated with asyncoro in order to create coroutines, generator functions, and communication among tasks.
- Lets you use SSL encryption to protect the information that you’re sending via the nodes.
- Allows you to provide HTTP interface to any cluster in order to visualize and monitor it through your web browser.
- Lets you schedule tasks for when new nodes become available.
- Supports both client side and server side fault recovery.

Requirements:

Please note that in order for dispy to function properly on your system, you must also be running Python.