CSV Software for Linux

View 10 business solutions

Browse free open source CSV software and projects for Linux below. Use the toggles on the left to filter open source CSV software by OS, license, language, programming language, and project status.

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  • 1

    Super CSV

    A fast, programmer-friendly, free CSV library for Java

    Super CSV is a fast, programmer-friendly, open-source library for reading and writing CSV files with Java. PLEASE NOTE: As of January 2015 we have now moved to GitHub (https://github.com/super-csv/super-csv). This SourceForge page will remain, but with limited functionality (please go to GitHub to report issues and for project downloads). It is highly configurable, and supports reading and writing with POJOs, Maps and Lists. It also has support for deep-mapping and index-based mapping with POJOs, using the powerful Dozer extension. Its flexible 'Cell Processor' API automates data type conversions (parsing and formatting Dates, Integers, Booleans etc) and enforces constraints (mandatory columns, matching against regular expressions etc) - and it's easy to write your own if required. Super CSV is actively maintained, and the developers are ready and willing to help out if you get stuck :) Please check out the project website for examples and help getting started
    Downloads: 1 This Week
    Last Update:
    See Project
  • 2
    Easy to use ready to go CSV File Reading utility. Read One or Multiple files into a RecordManager, quick access to the file with segmentation into Fields and Records. Merge Multiple CSV files in one. Listener to CSV Files.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3

    dhcp-gen

    dhcpd.conf generator

    dhcp-gen is a perl script that was written by me and Trond Erik Dalho to simplify editing dhcpd.conf for adding static ip to computers and equipment on our school. It also made it easier to do manage the network by limiting some computers access to the local network only. Creating closed networks. And it also worked as a database over all our computers and equipment, making it easier to keep track of everything. All information about equipment is stored inside csv files which are comma separated.
    Downloads: 0 This Week
    Last Update:
    See Project
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