Open Source Python Distributed Computing Software - Page 4

Python Distributed Computing Software

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

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  • 1
    Distributed Parallel Programming for Python! This package builds on traditional Python by enabling users to write distributed, parallel programs based on MPI message passing primitives. General python objects can be messaged between processors. Ru
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  • 2
    Object Oriented Python bindings for the Message Passing Interface (MPI)
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  • 3
    MPY is an MPI implementation for Python using MPICH (or any other MPI implementation). MPY also provides helper functions for ease of programming, and a simple plug-in interface.
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  • 4
    The objective of the project is to provide a concrete framework based on MR, which provides an extensible and easily manageable distributed computational environment.
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  • 5

    MUSCLE

    Client-server networking library

    The MUSCLE system is a fast, portable, flexible client-server system for distributed applications. Clients send BMessage-like PortableMessages to each other either directly or via a centralized server (with built-in database and 'live query' support).
    Downloads: 0 This Week
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  • 6
    Java based multi-agent platform built on an organizational model (agent, group, role). MadKit provides general agent facilities (lifecycle management, message passing, distribution, ...), and allows high heterogeneity in agents.
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  • 7

    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.
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  • 8
    Transactional and persistent queuing mechanism built in the Python language.
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  • 9
    NetWorkSpaces, developed by Scientific Computing Associates Inc., provides a framework to coordinate programs written in Python, making it easier to write distributed applications.
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  • 10
    NuPIC

    NuPIC

    Numenta platform for intelligent computing

    The Numenta Platform for Intelligent Computing (NuPIC) is a machine intelligence platform that implements the HTM learning algorithms. HTM is a detailed computational theory of the neocortex. At the core of HTM are time-based continuous learning algorithms that store and recall spatial and temporal patterns. NuPIC is suited to a variety of problems, particularly anomaly detection and prediction of streaming data sources. For more information, see numenta.org or the NuPIC Forum. If you want to build the dependent nupic.bindings from source, you should build and install from nupic.core prior to installing nupic (since a PyPI release will be installed if nupic.bindings isn't yet installed). To install from local source code, run from the repository root. We plan to do minor releases only, and limit changes in NuPIC and NuPIC Core to features needed to support ongoing research.
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  • 11
    This project collects the software developed as part of the OSG Scalability, Reliability and Usability Area.
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  • 12
    The Open Distributed Framework project is aimed at developing an open-source, cross-platform framework for distributed, high-performance physical modelling and simulation.
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  • 13
    OpenLC is a set tools designed to facilitate benchmarking and stress testing of a wide variety of information servers (WEB, Email, FTP, LDAP, ...). A XML-RPC API is offered for developers interested in creating clients that query the services provid
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  • 14
    Open_PYOSS will be a platform to develop Operational Support Systems for the Cable MSO. It will capitalized on a Distributed NxTier Computing Agent environment and WebServices core technologies to provide seamless Managed Access for MSOs or xSPs
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  • 15
    C Library to manage a pool of event/task in a persistent way to assure that your events/tasks won't be deleted because of a failure. Events/tasks are saved on a FS. if FS is NFS, NFS availability checks are made. (comes with a python binding)
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  • 16
    A Python-Based Distributed Runtime System for Cloud Computing.
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  • 17
    Pluster is a cluster management software developed with python. It is easy to install and maintain. Pluster Provides cluster performance monitoring and remote OS installing. It's future will be an agent-based management system.
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  • 18
    Pools of Virtual Boxes (POVB) aims to make it easy to deploy Linux Condor pools on Windows based machines using Virtual Box virtual machines.
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  • 19
    Poor Man's HPC is a framework that allows distributing and running code on a server farm. pmHPC is a scaled down and simplified version of distributed computing projects such as SETI, so is a perfect fit for enthusiasts and universities.
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  • 20
    Powow is an open-source TCP packets exchange mesh. It allows many TCP clients to connect to a "Powow cloud" (several instances of Powow), to exchange data. Powow is a TCP socket server like Palabre or Oregano.
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  • 21
    Project VDW serves as a repository for all things pertaining to Van Der Waerden sequences. Volunteers to run the distributed client, mathematicians to help with theory, and anyone interested in VDW sequences are welcome!
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  • 22
    Python DB driver for Java JDBC. Allows CPython programs to use a java JDBC driver to connect with a database server. It's API is Python DB compliant. ZJdbcDA (a zope database adapter) is also included.
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  • 23
    PyMW is a Python module for parallel master-worker computing in a variety of environments. With the PyMW module, users can write a single program that scales from multicore machines to global computing platforms.
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  • 24
    PyREXX is a interprocess messaging server for routing remote prodecure calls using xml-based messages (Jabber, XML-RPC, etc), which will allow programs to interact more easily.
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  • 25
    A collection of Python tools and libraries for systems management in highly available distributed environment.
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