Showing 3 open source projects for "database"

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    Fax.Cloud delivers encrypted, point-to-point faxing with guaranteed delivery and built-in audit trails

    For organizations in regulated industries needing a solution to replace traditional fax infrastructure and integrate with email or online portals

    Unlike email or file-sharing tools, Fax.Cloud doesn’t bounce around the internet, exposed and vulnerable. It’s direct, encrypted, and verified. You get delivery confirmation, audit trails, and peace of mind, without the spam filters, metadata leaks, or cyber threats.
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  • White Labeled Fintech Software Solutions | Centrex Icon
    White Labeled Fintech Software Solutions | Centrex

    Centrex is a full suite of white labeled fintech solutions built and designed for brokers, lenders, banks, investors, fintechs

    The Centrex products include: CRM, loan origination, loan and advance servicing software, syndication management, white labeled mobile app, money manager, underwriting, Esign, and website smart app builder. The Centrex services include: fintech software consulting, admin retainer services, and managed data cloud.
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  • 1
    Browse by Query
    A query language for code browsing. You query your database-- why don't you query your code? Write queries to provide custom views of your Java or C#/CLR code base. Integrates with popular IDEs or standalone.
    Downloads: 4 This Week
    Last Update:
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  • 2

    Decode PeopleCode

    Decodes PeopleCode bytecode and submits the code to SVN or Git

    Decodes PeopleCode (the proprietary language in Oracle's PeopleSoft ERP software) from bytecode to text. Stores the code in text files, or commits it to a Subversion or Git version control system. Can also extract PeopleCode and SQL text from PeopleTools .xml project files, and does three-way merging of PeopleCode (to reapply customizations during an upgrade).
    Downloads: 3 This Week
    Last Update:
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  • 3
    CCKDM

    CCKDM

    Concern Mining

    This is a tool for concern mining which uses a KDM model as input and the output is the same model with annotated concerns. It uses a Concern Library and a modified String Clustering K-means algorithm with Levenshtein metric to cluster the strings.
    Downloads: 0 This Week
    Last Update:
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