dispy is a Python framework for parallel execution of computations by distributing them across multiple processors in a single machine (SMP), or among many machines in a cluster or grid. The computations can be standalone programs or Python functions. dispy is well suited for the data parallel (SIMD) paradigm where a computation is evaluated with different (large) datasets independently (similar to Hadoop, MapReduce, Parallel Python). dispy features include automatic distribution of dependencies (files, Python functions, classes, modules), client-side and server-side fault recovery, scheduling of computations to specific nodes, encryption for security, sharing of computation resources if desired, and more.
Langer is an object oriented, rule based programming language. Its interpreter is shipped as a Python library. It was created to express behavior strategies, has a simple syntax based on languages like Python and C, and was designed to be convenient and readable for a programmer, but it can be easily used in genetic programming as well.
asyncoro is a Python framework for concurrent distributed network programming 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. Programs developed with asyncoro have the same logic and structure as Python programs with threads, except for a few syntactic changes. It supports socket I/O notification mechanisms epoll, kqueue, /dev/poll (and poll and select, where necessary), and Windows I/O Completion Ports (IOCP) for high performance and scalability, and SSL for security. asyncoro features include remote execution of coroutines, coroutines monitoring other coroutines, coroutines communicating with messages, message channels etc., for concurrent, distributed, fault-tolerant programming.