Showing 4 open source projects for "sourceforge page"

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    TRAK Metamodel

    TRAK Metamodel

    Tuples (triples) for TRAK architecture viewpoints and views

    The definition of the metamodel for TRAK (defines allowed AD elements and relationships i.e. tuples/ triples for the TRAK viewpoints and views). TRAK is a general systems-thinkers'/system engineering enterprise architecture framework. It is simple, user-friendly, pragmatic and not limited to IT. 100% triple-centric and semantically-sound. Forms basis for RDF + OWL ontology description - see https://trakmetamodel.sourceforge.io/vocab/TRAK_metamodel.html. Each TRAK metamodel element now has...
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  • 2
    ...Development moved to github in 2017 and the name changed to MarkupPy in order to be more pip friendly. See http://github.com/tylerbakke/MarkupPy for all further details (documentation, new releases, etc.). This sourceforge page is left as a historic relic and won't be updated.
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  • 3
    ⚠️ PROJECT MOVED TO GITHUB ⚠️ Active development of ini4j has resumed on GitHub. Please visit https://github.com/ini4j/ini4j for the latest source code, issues, releases, and the upcoming v0.6.0 roadmap. (This SourceForge page is archived). Simple Java API Windows style .ini file handling. Also provide Java Preferences API functionality on top of .ini file.
    Downloads: 10 This Week
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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. ...
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