Open Source Python Distributed Computing Software for Windows

Python Distributed Computing Software for Windows

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Browse free open source Python Distributed Computing Software for Windows and projects below. Use the toggles on the left to filter open source Python Distributed Computing Software for Windows by OS, license, language, programming language, and project status.

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  • 1

    Madara

    Middleware for distributed applications

    The purpose of the project is to develop a portable programming framework that facilitates distributed and multi-threaded programming for C++, Java, and Python. MADARA was originally developed as an agent-based middleware specifically for real-time, distributed artificial intelligence, but is now more general purpose for distributed timing, control, knowledge and reasoning, and quality-of-service. MADARA is composed of several tools and middleware, and the main entry point into the system is the Knowledge and Reasoning Language (KaRL) Engine, which provides a real-time scripting language for nanosecond execution times hooked into a flexible transport layer for distributed reasoning. The KaRL engine also supports object-oriented C++, Java, and Python programming through Containers, classes that provide abstractions and references for variable location within the KaRL Knowledge Base. This project is currently in process of being ported from http://madara.googlecode.com.
    Downloads: 3 This Week
    Last Update:
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  • 2

    asyncoro

    Python framework for asynchronous, concurrent, distributed programming

    asyncoro is a Python framework for developing concurrent, distributed, network programs with asynchronous completions and coroutines. Asynchronous completions implemented in asyncoro are sockets (non-blocking sockets), database cursors, sleep timers and locking primitives. Programs developed with asyncoro have same logic and structure as Python programs with threads, except for a few syntactic changes. asyncoro 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
    Downloads: 2 This Week
    Last Update:
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  • 3
    The Open Distributed Framework project is aimed at developing an open-source, cross-platform framework for distributed, high-performance physical modelling and simulation.
    Downloads: 0 This Week
    Last Update:
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  • 4
    A Python-Based Distributed Runtime System for Cloud Computing.
    Downloads: 0 This Week
    Last Update:
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  • 5
    RPyC, or Remote Python Call, is a transparent and symmetrical python library for remote procedure calls, clustering and distributed-computing.
    Downloads: 0 This Week
    Last Update:
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