Showing 4 open source projects for "bash shell script"

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  • 1

    cpuplot

    Command Line profiler of CPU usage

    cpuplot Command Line Profiler of CPU Usage and Load Average. Synopsis: BASH script that shows the history of CPU usage, and what procces uses the most CPU at a given time. Bar graphs represent the percentage of Total CPU Usage, and the percentage of Total 1 Minute Load Average. Default wait interval between system readings is 5secs. But a different one can be set in the command line with the "-i" argument.
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  • 2

    Metric Collector

    A bash-Script to collect metrics from a Linux system.

    Collects server and java process information from various tools and creates charts with the data. The script was tested on GNU/Linux with gnuplot 4.4. For the script to work you have to set the variable "JAVA_HOME" to a valid JDK location. Check the documentation in the script file. The following information gets collected: >> output from vmstat >> netstat tcp states and established connections >> information from /proc/fd >> jstat -gc output >> jstat -class output ...
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  • 3
    epyunit

    epyunit

    PyUnit and PyDev extensions for arbitrary Executables

    The package 'epyunit' provides extensions for PyUnit and PyDev. * Extensions for PyUnit - Unittests for arbitrary executables. * Extensions for PyDev - Automation of search and load of pydevd.py The extensions are applicable from commandline and/or within Eclipse. Online manuals: - https://pythonhosted.org/epyunit/ PyPi repository: - https://pypi.python.org/pypi/epyunit Current application examples are: - bash-core - http://bash-core.sourceforge.net Nickname -...
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  • 4

    AWK Statistics

    awkStatistics generates statistics from csv-data with awk.

    AwkStatistics is a script which is used to generate statistical data for csv data by using awk. It takes two columns from the input file, one is used to identify the row(option -i) and the other one is the column where the values are taken from (option -v). The script was designed for performance engineers to be able to analyze CSV-Data on the fly and have a good possibility to automate the analysis process.
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