8 projects for "compiler python linux" with 2 filters applied:

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  • 1

    contools

    console tools, batch scripts, shell scripts, shell tools, utilities

    https://sourceforge.net/p/contools/contools/ci/master/tree/README.md https://sourceforge.net/p/contools/contools/ci/master/tree/README_EN.txt https://sourceforge.net/p/contools/contools/ci/master/tree/README_EN.deps.txt https://sourceforge.net/p/contools/contools/ci/master/tree/changelog.txt
    Downloads: 0 This Week
    Last Update:
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  • 2
    Pretty Damn Quick (PDQ) analytically solves queueing network models of computer and manufacturing systems, data networks, etc., written in conventional programming languages. Generic or customized reports of predicted performance measures are output.
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    Downloads: 2 This Week
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  • 3
    pyfilesysobjects

    pyfilesysobjects

    Search and match of file type resource paths and addresses

    ... - filesysobjects.userdata - user directories - filesysobjects.osdata - OS directories - filesysobjects.configdata - config directories Supported platforms are: - Linux, BSD, Unix, Mac-OS/OS-X, and Windows - Python2.7, Python3.5+ Online documents: https://pyfilesysobjects.sourceforge.io/
    Downloads: 0 This Week
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  • 4
    libinclude

    libinclude

    It is a shell library to import other shell scripts as libraries.

    ... in python. To ensure the usability of the libraries across different OS and/or software configurations, libinclude provides some features to be utilized in the libraries. One can define dependencies with 3ed party programs, which will be checked while importing and returns a meaningful error message if not met. To adopt the library to different environments, conditional comments provide the possibility to include code blocks depending on defined conditions, or run code on file inclusion.
    Downloads: 1 This Week
    Last Update:
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  • 5

    Ganglia

    Scalable, distributed monitoring system for high-performance computing

    Ganglia is a scalable distributed monitoring system for high-performance computing systems such as clusters and Grids. It is based on a hierarchical design targeted at federations of clusters. Supports clusters up to 2000 nodes in size.
    Downloads: 18 This Week
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  • 6
    BGINFO4X - BGINFO for X and for Windows!

    BGINFO4X - BGINFO for X and for Windows!

    Shows desktop information on your screen

    BGINFO for X, also called BGINFO4X, is a clone of the popular program BGINFO for Microsoft Windows created by Sysinternals. BGINFO4X is designed for pretty print useful information (CPU model, Hostname, IP address, OS version, Office version, and much more ...) on your desktop background or wallpaper. See the screenshots to see BGINFO4X in action. BGINFO4X is Multi Platform (Windows, MacOSX, Linux, BSD). BGINFO4X is Highly Customizable. BGINFO4X is Open Source. BGINFO4X comes...
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    Downloads: 9 This Week
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  • 7

    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...
    Downloads: 0 This Week
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  • 8

    DynaFabric

    Manage existing clusters of machines efficiently via SSH.

    DynaFabric is an SSH based command dispatching and systems management framework, designed for easy implementation on existing networks. It allows you to configure SSH key based authentication, and centrally dispatch commands, manage installed software, maintain services, and enforce policies across your systems. DynaFabric is designed to be platform agnostic; support is being developed for FreeBSD, OpenBSD, NetBSD RHEL/CentOS, Ubuntu, Solaris 10, Solaris 11, and Illumos.
    Downloads: 0 This Week
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