Showing 4 open source projects for "self-extracing"

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    QAL

    QAL

    Query Abstraction Layer

    ...It has a database abstraction layer that supports connectivity to Postgres, MySQL, DB2, Oracle, MS SQL server. JSON and MongoDB is coming. It uses XML/JSON formats(self-generated SQL schemas) for representing queries, transformation and merging, making it scriptable. This means that QAL can be backend agnostic about a subset of SQL features and data types. Of course custom SQL:s are also supported. It is currently distributed as a Python 3 Library (pip3 install python3-qal) and Debian .deb package. ...
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  • 2
    PyTablet is a self organizing DB for semi-structured data. PyTablet behave like a huge persistable dictionary where keys are ID and values are dictionary-like objects that can link each other and contain simple values.
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  • 3
    FGL is a tightly-integrated self-contained development & execution environment utilizing best-of-breed programming tools and methodologies, optimized web/application server, highly-scalable relational/object database, and robust extension interface.
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  • 4
    LAAPhysics is an online, self-directed, course distribution and management system, incorporating a 3D environment and advanced grading and evaluation features, designed for, but not limited to, physics education.
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