Showing 4 open source projects for "csv to json c++"

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  • 1
    TXM

    TXM

    Unicode-XML-TEI text/corpus analysis platform

    TXM is a free and open-source cross-platform Unicode & XML based text/corpus analysis environment and graphical client, supporting Windows, Linux and Mac OS X. It can also be used online as a J2EE standard compliant web portal (GWT based) with access control built in. DOWNLOAD LATEST VERSION OF TXM : http://textometrie.ens-lyon.fr/spip.php?rubrique61&lang=en TXM offers a comprehensive range of analysis tools (concordances, collocate search, frequency lists, etc.) based on the powerfull...
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    Downloads: 10 This Week
    Last Update:
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  • 2

    GETL

    ETL engine based on Groovy

    P.S. Dear friends. Repository migration to https://github.com/ascrus/getl . You can download jar file from this site or maven. GETL - based package in Groovy, which automates the work of loading and transforming data. His name is an acronym for «Groovy ETL». GETL is a set of libraries of pre-built classes and objects that can be used to solve problems unpacking, transform and load data into programs written in Groovy, or Java, as well as from any software that supports the work with...
    Downloads: 2 This Week
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  • 3
    Metl ETL Data Integration

    Metl ETL Data Integration

    Simple message-based, web-based ETL integration

    Metl is a simple, web-based ETL tool that allows for data integrations including database, files, messaging, and web services. Supports RDBMS, SOAP, HTTP, FTP, SFTP, XML, FIXLEN, CSV, JSON, ZIP, and more. Metl implements scheduled integration tasks without the need for custom coding or heavy infrastructure. It can be deployed in the cloud or in an internal data center, and it was built to allow developers to extend it with custom components.
    Downloads: 5 This Week
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  • 4

    DataMakerApi

    An API for Java programmers to make test data

    DataMakerApi is an API packaged as a jar for Java programmers to use in generating randomized test data in any quantity desired. An API is used because the output can take so many forms (SQL for traditional databases, JSON text for NoSQL databases, XML or delimited text for flat files, etc...). This API will facilitate the work of creating test data for a wide range of applications.
    Downloads: 0 This Week
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