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CSVReader/Writer (version: 3.0)

Java to read, write, align and pack comma, tab and semicolon-separated files.

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  • download softwareDownload: csv30.zip [Download count: 6]
  • Order: CSVReader/Writer
  • company website Homepage: CSVReader/Writer homepage
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  • Company:   View all "Canadian Mind Products's" listings [99 titles]
  • Install Support: none
  • System Requirements: Java 1.5+
  • Recent Changes: faster CSVReader
  • Platform:   Java, Linux, Mac OS X, Unix, Win2000, Win7 x32, Win7 x64, WinServer, WinVista, WinVista x64, WinXP
     JavaLinuxMac OS XUnixWin2000Win7 x32Win7 x64WinServerWinVistaWinVista x64WinXP
  • Type: Freeware
  • Cost: $0.00 US
  • Size: 976 K
  • Released: 2008-06-04
  • Vote for: "CSVReader/Writer 3.0"
    1 out of 5 2 out of 5 3 out of 5 4 out of 5 5 out of 5
  •  Description: Java classes you can use standalone or embed in your own programs to
    Read, write, align and pack comma, tab and semicolon-
    separated variable files, commonly known as CSV files.

    It consists of a four Java classes CSVReader CSVWriter,
    CSVAlign and CSVPack for reading and writing CSV (Comma
    Separated Value) formatted files. Also handles
    tab-separated and semicolon-separated files. This is the
    format use by Microsoft Word and other Microsoft products.
    This version now supports # embedded comments.

    You can configure the separator, quote and comment characters.

    Note that CSV files are perhaps 10 times slower to process
    than binary files. They are for data interchange with other
    languages or when human-readibility or editability is
    important. If you want speed, use binary format files, e.g.
    DataInputStream or possibly the convenient but slower
    ObjectInputStream.

    CSVAlign aligns the fields in columns for easier
    proofreading.

    java com.mindprod.csv.CSVAlign somefile.csv

    CSVTab2Comma converts a tab-separated file to a
    comma-separated one.

    java com.mindprod.csv.CSVTab2Comma somefile.csv

    CSVPack removes all unecessary spaces to make
    at CSV file as compact as possible.

    java com.mindprod.csv.CSVPack somefile.csv
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