Open Source Python Distributed Computing Software - Page 5

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
    Pydusa is a package for parallel programming using Python. It contains a module for doing MPI programming in Python. We have added parallel solver packages such as Parallel SuperLU for solving sparse linear systems.
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  • 2
    A dynamic, extensible XML-RPC server framework with a builtin scheduling engine. Ideal as a core component for n-tier platforms which require a stable XMLRPCServer.
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  • 3
    This package provides Python bindings to the OpenPBS C API. All functions of the OpenPBS C library can be accessed in Python through the use of this package. We provide extensive documentation on the usage and lots of examples.
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  • 4
    Rainbow@Home is a open source project using Boinc to create rainbow tables using distributed computing.
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  • 5

    RainforestCluster

    Dynamically manage Amazon EC2 clusters

    RainforestCluster is an Amazon EC2 python program that manages and load-balances dynamic clusters to allow for maximum workflow flexibility and speed at minimal cost. It enables one to quickly and cheaply create dynamic compute clusters in the cloud, which can then run computational pipelines generically. It is also able to optimize the use of spot instances - idle computers in Amazon's cloud that are available at drastically reduced cost (5x-10x cheaper) - but can be terminated at any moment if capacity drops or the bid price rises. It also provides pre-installed features such as GlusterFS distributed filesystems, ThunderstormDistributor queuing system, RAID 0 /scratch, password-less ssh, and automatic cluster management, for ease of use and maximum processing speed for computational tools. Originally it was developed as a different version for the Wall Lab at Harvard CBMI.
    Downloads: 0 This Week
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  • 6

    RedMQ

    Simple, flexible messaging with Redis.

    RedMQ is a Redis-based messaging system that is specifically designed to support flexible messaging schemes, exposing an API that allows messages to be filtered by a number of message attributes. At its core is a Python TCP server built on Asynchronous Messaging Protocol and Twisted's AMP module. This means RedMQ can support clients in any language, though only two clients - PHP and Python - have been implemented to date. The API is designed with flexibility in mind, providing native support for conditional messaging and custom message routing as well as standard point-to-point and publish-subscribe messaging models.
    Downloads: 0 This Week
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  • 7
    The SMOA Project provides a set of development kits, communication tools and highly efficient services targeted but not limited to SOA and HPC environments.
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  • 8
    SSS-OSCAR is an integrated release of the SciDAC:Scalable System Software (SSS) suite using the OSCAR cluster installation framework. The SSS project seeks to provide a standard interface for effective management and utilization of terascale systems.
    Downloads: 0 This Week
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  • 9
    Named after a well know product from Microsoft, SandStorm is a framework for creating modular middle-end web products.
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  • 10
    Service Sharing Facility
    This modular software package forms an integration point for Grid/Cloud/Cluster products. If provides several adapters which can easily be used to build complete Services/integrate products. It enables federation between multiple sites.
    Downloads: 0 This Week
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  • 11
    Alternative c,c++ and Python APIs for Madagascar project. Also includes support for distributed file format.
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  • 12
    Simple Distributed Job Management Tools facilitates parallel, distributed execution of simple commands, on a network of UNIX-like machines. Components include a job dependency/exclusivity language and load-balanced remote execution facility.
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  • 13
    A metering and charge-back mechanism based on real time pricing (RTP) for the cloud services. This project caters to the need of a dynamic pay-per-use model in the cloud environment.
    Downloads: 0 This Week
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  • 14
    Spyse is a software framework for building multi-agent systems. It allows Python developers to build distributed intelligent systems of multiple cooperative agents based on FIPA, OWL, SOA and many others. Spyse is designed for ease-of-use and fun.
    Downloads: 0 This Week
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  • 15
    SmartMuseum

    SmartMuseum

    Software for work with Corpus of Everyday life history Sources

    Everyday life history is becoming of high interest due to the growing amount of various historical sources related to common human being. Analysis of such sources needs considering them as interrelated. Evaluation of such relations leads to meaningful results for different groups of information consumers: from professional historians and experts from close humanitarian sciences to common people, interested in everyday community life. Corpuses of everyday life history sources are being collected in many museums and document archives. In this project, we consider the problem of creating software infrastructure for collaborative semantic annotation, information relation, and personalized access to corpus of everyday life history sources. Project financially supported from Department for Humanities of Russian Fund for Basic Research according to project # 16-01-12033. Authors: Vdovenko A., Marchenkov S., Petrina O., Korzun D.
    Downloads: 0 This Week
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  • 16
    SnowFlock enables high performance computing on virtual machine (VM)-based cloud environments. In SnowFlock, a VM transparently becomes a cluster of VMs by cloning in sub-second time into multiple copies executing on different physical hosts.
    Downloads: 0 This Week
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  • 17
    Framework for software component integration, interoperability and adoptability through a XML based vocabulary: Software Component Integration Mark-up Language (SCIML)
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  • 18
    StackOps
    End of Life (EOL) of StackOps Community Distro ============================================== Starting from November 2013, the StackOps Community Distro has been discontinued in favor of the new StackOps 360 distro and the FABuloso OpenStack deployment libraries. If you want to give a try to the StackOps 360 distro, then you have to go to our corporate website at http://www.stackops.com and download the distro right way. If you want to use our FABuloso libraries, you have to visit the new website at http://www.stackops.org or visit the github account at http://github.com/stackops The Smart Installer application has been also discontinued, so the site at http://installer.stackops.org will no longer be available. If you need support of any kind of the good old Community Distro, don't hesitate to contact us. Thank you! The StackOps Team
    Downloads: 0 This Week
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  • 19
    The purpose of this program is to prove that given a finite number of Monkeys and a finite amount of time one monkey will be able to make more money off the stock market than any human being. Checkout our web site for an uncorrupted download.
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  • 20
    StreamMine is a distributed event processing (streaming) infrastructure. You can create low-latency, fault-tolerant stream processing functionality with any stream-oriented operators that can be implemented in Python.
    Downloads: 0 This Week
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  • 21
    SySMS provides with the ability to manage servers remotely making use of a mobile phone via sms commands on phone
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  • 22
    TOS is a lightweight distributed computing middleware platform. It provides a secure message passing mechanism and a simple framework for implementing application specific message handlers (extensions).
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  • 23
    TaskManager

    TaskManager

    TaskManager manages calculation jobs in a computer cluster environment

    TaskManager is an open source infrastructure software for distributing and managing calculation jobs in a Unix computer cluster environment. The TaskManager was designed to control the utilization of a set of hosts even if you are not the administrator of the system. The hosts are embedded in a Unix environment and the user's home directories are mounted on each host. The hosts may have different numbers of CPUs/cores and different kernels. Keep in mind that a user is able to log into each host and calculate on it. However, he should use the TaskManager to submit calculation jobs to the cluster to avoid an overload of the hosts. Jobs which are under the control of the TaskManager are executed on a host of the computer cluster with the rights of the respective user to ensure that the executing jobs have the permission to access the user's files.
    Downloads: 0 This Week
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  • 24
    This library provides a network abstraction layer for heterogenous large scale modular systems. It supports clearly specified interface definitions for communication between modules, while maximizing module indendence and adaptability.
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  • 25
    Trieste is a distributed file system aimed to be adaptable via policies.
    Downloads: 0 This Week
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