Showing 4 open source projects for "shell command"

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  • 1
    csv2odf

    csv2odf

    csv2odf can convert csv data to formatted spreadsheets and documents.

    csv2odf can create business intelligence reports from csv data sources with output to ods, odt, html, xlsx, or docx documents. It uses a template file that you design to control the layout, fonts, and colors. Just query your database with output to csv (or tsv), then use csv2odf to insert the data into your template to produce a nice looking formatted output. It is a command line tool and you can automate the generation of reports by using scripts and cron. It can be used to create...
    Downloads: 17 This Week
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  • 2

    addcsv2ods

    Adds csv files to a ods spreadsheet

    This bash script adds several csv files into an existing .ods spreadsheet. Each csv file creates a sheet. If there is no input spreadsheet provided, it creates one and inserts all csv files in it.
    Downloads: 0 This Week
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  • 3

    jdbc2csv.jar

    Command-line sql JDBC tool

    jdbc2csv is a small command-line tool written in JAVA and can be used on all platforms, for which JRE 8 or higher is available. To connect to a specific DBMS the tool uses its JDBC driver. The result of the executed 'select' query is displayed in CSV format ( different standards are supported ). When there is an error the tool stops with exit code 1 and the error message is output on stderr. jdbc2csv is created with a main purpose to be used in shell-scripts.
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    Downloads: 147 This Week
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  • 4
    A set of Unix command line tools for quick and convenient batch processing of tabular text files (a.k.a., tab-delimited, csv, or flat file format) with a header line. Provides delimiter and compression detection, column reference by name. * tblmap: per-line ("map") computation: derive columns through an expression, delete, reorder, filter rows. * tblred: compute ("reduce") aggregations (e.g., sum, average) over groups defined by key columns. * tbldesc: Summarize columns in file...
    Downloads: 0 This Week
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