Open Source Python Distributed Computing Software

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.

  • Paessler: Easy to Use With Enterprise Power. Free Trial Icon
    Paessler: Easy to Use With Enterprise Power. Free Trial

    A low-code dashboard makes monitoring intuitive for any admin, while scripting and custom sensors give experts full control.

    You shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
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  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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  • 1
    Render Farm Manager, Project Tracker.

    Render Farm Manager, Project Tracker.

    CGRU: Afanasy render farm manager and RULES project tracker.

    CGRU is an open source CG tools pack, includes Afanasy render farm manager and RULES project tracker.
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    Downloads: 40 This Week
    Last Update:
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  • 2
    Unified Sessions Manager

    Unified Sessions Manager

    Pioneering Private and Public Cloud Management since 2008

    The UnifiedSessionsManager supports the integrated management of user sessions within Private-Clouds, comprising heterogeneous IT landscapes of various physical and virtual machines, hypervisor management, and virtual user sessions with remote desktops. Extracted documents see https://sourceforge.net/projects/ctys-doc.
    Downloads: 1 This Week
    Last Update:
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  • 3
    ActiveGrid is an Enterprise Web 2.0 solution that allows the composition of code-free applications that comply with corporate IT standards. Technologies include Python, Java, XForm, Xpath, WSDL, CSS, XML Schema (XSD), XACML, and BPEL.
    Downloads: 0 This Week
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  • 4
    EDACC
    Experiment Design and Administration for Computer Clusters. Latest source code on http://github.com/edacc
    Downloads: 0 This Week
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  • Fully Managed MySQL, PostgreSQL, and SQL Server Icon
    Fully Managed MySQL, PostgreSQL, and SQL Server

    Automatic backups, patching, replication, and failover. Focus on your app, not your database.

    Cloud SQL handles your database ops end to end, so you can focus on your app.
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  • 5
    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.
    Downloads: 0 This Week
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  • 6

    ReorJS

    Distributed Computing with JavaScript

    Create your own distributed computer that can distributed javascript based applications to any computer with a web browser, headless browser or node.js installation. For more information and updates please see our website - http://reorjs.com.
    Downloads: 0 This Week
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  • 7
    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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  • 8
    Publish and subscribe messaging for the Web, and related tools. Our license is BSD.
    Downloads: 0 This Week
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