Ppft is a friendly fork of Parallel Python. It provides:

* parallel execution of Python code on SMP and clusters * easy-to-understand job-based parallelization * automatic detection of the number of effective processors * dynamic processor allocation (at runtime) * low overhead for jobs with the same function (through transparent caching) * dynamic load balancing (jobs are distributed at runtime) * fault-tolerance (if a node fails, tasks are rescheduled on the others) * auto-discovery of computational resources * dynamic allocation of computational resources * SHA based authentication for network connections * enhanced serialization, using dill.source

ppft is part of pathos, a Python framework for heterogeneous computing.