Showing 4 open source projects for "java vcard"

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  • 1
    myScite

    myScite

    The allRound pocket sized CodeEditor.

    .... -- Features -- - Full MinGW and GTK SDKs Autocomplete.(190+) - Do system scripting (bash, applescript, cmd, powershell, perl, j/vbscript, awk) - Examine all sorts of data files (sql, regedit, mib, xml, yaml, json, vcard ...) - Review difference and patch files - Create makefiles (gnu make / cmake) - Edit html, css and config files (with calltips) - Describe circuits in vhdl and spice. ... - And finally; read & write source code: - [ Syntax highlighted ] - go, vala, pike, swift, flash, ch, rust - [ Calltip assisted ] - c/cpp11, js&jQuery, python, php, ruby, lua, c#, java, perl --Others-- - Restructured config files with inline docs - Scriptable via lua Extension...
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    Downloads: 2 This Week
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  • 2
    A Java API binding of the IETF Mime-Dir and vCard RFC's. This package defines implementation neutral Mime-Dir and vCard Java interfaces for exposing data objects corresponding to those defined by the RFC's.
    Downloads: 0 This Week
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  • 3
    vCard4J is a complete toolkit to manipulate vCards (RFC 2426) in Java. It contains a parser to read vCard files. It also includes a compiler to extend the library. And it contains XSLTs to produce vCards 3.0, xHTML, ..., from the internal DOM structure.
    Downloads: 0 This Week
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  • 4
    The Personal Data Interchange (PDI) standard was initially developed by Versit for the communication of data including the popular vCard and vCalendar types. This Java package allows a programmer to take an InputStream and parse its PDI data.
    Downloads: 0 This Week
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  • Next-generation security awareness training. Built for AI email phishing, vishing, smishing, and deepfakes. Icon
    Next-generation security awareness training. Built for AI email phishing, vishing, smishing, and deepfakes.

    Track your GenAI risk, run multichannel deepfake simulations, and engage employees with incredible security training.

    Assess how your company's digital footprint can be leveraged by cybercriminals. Identify the most at-risk individuals using thousands of public data points and take steps to proactively defend them.
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