dispy is described as 'Python framework for parallel execution of computations by distributing them across multiple processors on a single machine (SMP), among many machines in a cluster or grid' and is an app in the Development category. There are three alternatives to dispy for Linux, Mac and Windows. The best alternative is Apache Hadoop, which is both free and Open Source. Other great apps like dispy are Disco MapReduce (Free, Open Source) and asyncoro (Free, Open Source).
Apache Hadoop is a open source software framework that supports data-intensive distributed applications licensed under the Apache v2 license. It enables applications to work with thousands of computational independent computers and petabytes of data.
Disco is an implementation of mapreduce for distributed computing. Disco supports parallel computations over large data sets, stored on an unreliable cluster of computers, as in the original framework created by Google.
asyncoro is a Python framework for developing concurrent, distributed programs with asynchronous completions and coroutines. Asynchronous completions implemented in asyncoro are socket I/O operations (non-blocking sockets), database cursors, sleep timers and locking primitives.