Showing 4 open source projects for "remote support software"

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  • 1
    Papa Parse

    Papa Parse

    CSV parser that handles large files and malformed input

    ...Now the fastest JavaScript CSV parser for the browser. Papa can handle files gigabytes in size without crashing. CSV to JSON and JSON to CSV. Auto-detect delimiter, open local files, download remote files, stream local and remote files, multi-threaded, header row support, type conversion, skip commented lines, fast mode, graceful error handling, and optional sprinkle of jQuery. Specify a step callback to receive the results row-by-row. This way, you won't load the whole file into memory and crash the browser. If you tell Papa there is a header row, each row will be organized by field name instead of index. ...
    Downloads: 6 This Week
    Last Update:
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  • 2

    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...
    Downloads: 1 This Week
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  • 3

    SendEngine XML

    XML sendengine UTF8 in different formats Batchfunction

    - Easy XML/SOAP sending for implementation tests - Batch preview function - Monitoring feature preview - Support different WEB services in one application Installer is currently not set. But you can use the Windows Application control to deinstall the Software. The basefolder is located at \Users\<Username>\SendEngine - this Folder will not be deleted after Deinstallation of the sofware. Starting SendEngine first create a WebService Folder.
    Downloads: 0 This Week
    Last Update:
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  • 4
    ktdata is a C++ library for accessing tabular data, like from CSV files. Its goals are: 1. object design 2. portability (Linux and Windows support at least) 3. high performance 4. support for common data file formats, like CSV, ARFF (Weka), etc.
    Downloads: 0 This Week
    Last Update:
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