Showing 5 open source projects for "unix os"

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  • 1
    QtiPlot
    QtiPlot is a user-friendly, platform independent data analysis and visualization application similar to the non-free Windows program Origin.
    Downloads: 149 This Week
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  • 2
    TEACUP

    TEACUP

    TCP Experiment Automation Controlled Using Python

    TEACUP automates many aspects of running TCP performance experiments in a specially-constructed physical testbed. TEACUP enables repeatable testing of different TCP algorithms over a range of emulated network path conditions, bottleneck rate limits and bottleneck queuing disciplines. TEACUP utilises a text-based configuration file to define experiments as combinations of parameters specifying desired network path and end host conditions. When multiple values are provided (e.g. for TCP...
    Downloads: 0 This Week
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  • 3

    mod_openopc

    just plain WORKS

    mod_openopc is a full featured implementation of the OpenOPC library for Python. It is cross platform compatible (full Python 2.5 and up). We used to recommend running it on a POSIX platform (Unix / Linux), but thanks to modest efforts since 2014, performance in Windows OS environments is excellent.
    Downloads: 0 This Week
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  • 4
    DCMLinux - Dicom Linux Distribution

    DCMLinux - Dicom Linux Distribution

    Dicom PACS solution for free.

    DCMLinux is a complete PACS system, free of charge. Its core is an Ubuntu 14.04 system fully updated and it contains the DCM4CHEE as its PACS server. In the near future it will contain many other addons such as Weasis, Oviyam, Care2x, etc. Just download the iso, burn it to a CD and boot it up. No need to configure any files of dcm4chee, DCMLinux installer asks for everything it needs to configure a running PACS in minutes. Project Wiki : http://wiki.dcmlinux.org Project Forums:...
    Downloads: 3 This Week
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  • 5

    PyRate

    Bayesian Estimation of Speciation and Extinction from Fossil Data

    PyRate is a Python program to estimate speciation, extinction, and preservation rates from fossil occurrence data using a Bayesian framework. The method was described by D Silvestro, J Schnitzler, LH Liow, A Antonelli, and N Salamin in Systematic Biology (http://sysbio.oxfordjournals.org/content/early/2014/02/08/sysbio.syu006.abstract). *Please download the most up-to-date code from the "PyRate code" tab on this page or from: https://github.com/dsilvestro/PyRate * *An updated manual...
    Downloads: 0 This Week
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