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

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    MongoDB Atlas runs apps anywhere

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  • 1
    gditools

    gditools

    A Python program/library aimed at GD-ROM image files.

    This Python program/library is designed to handle GD-ROM image (GDI) files. It can be used to list files, extract data, generate sorttxt file, extract bootstrap (IP.BIN) file and more. This project can be used in standalone mode, in interactive mode or as a library in another Python program (check the 'addons' folder to learn how). For your convenience, you can use the gditools.py GUI program supplied in the Files section (optional). To use this project you must install the Python 2.7.x branch release binaries. See the README.TXT file for more informations.
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    Downloads: 12 This Week
    Last Update:
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  • 2
    JarOMine

    JarOMine

    Quickly Search THOUSANDS of Archives!

    If you have ever tried to locate files, classes, and resources buried amongst an ever shifting locus of ZIP and / or JAR files, we feel your pain! After spending far too much time searching hundreds of archives for moving targets, I decided to write JarOMine. Originally designed for locating Java classes, JarOMine works equally well with ZIP archives, too.
    Downloads: 0 This Week
    Last Update:
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  • 3
    This library supports reading and writing Macintosh data and resource forks in AppleSingle, AppleDouble, Windows Appleshare Server, Helios, Xinet, MacLan and UShare formats.
    Downloads: 0 This Week
    Last Update:
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  • 4

    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: 0 This Week
    Last Update:
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