Open Source Python Storage Software for Mac

Python Storage Software for Mac

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Browse free open source Python Storage Software for Mac and projects below. Use the toggles on the left to filter open source Python Storage Software for Mac by OS, license, language, programming language, and project status.

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  • 1
    Downloads: 0 This Week
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  • 2
    Cross platform indexed file btree implementation in C#, java and Python: Commit/abort transactions, localized unicode string order, recovery of damaged files, and configurable memory footprint, hashing, prefixing, and object serialization.
    Downloads: 0 This Week
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  • 3
    DataFinder
    DataFinder is a data management client developed in Python that primarily targets the management of scientific technical data. The system is able to handle large amounts of data and can be easily integrated in existing working environments.
    Downloads: 0 This Week
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  • 4
    Language-independent interfaces like DOM, SAX and XSLT are not particularly "Pythonic". Several tools are contained in this "XML2Python Interfaces" project that provide more natural ways of translating between XML and Python objects.
    Downloads: 0 This Week
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  • 5
    Lino is a suite of Python packages for IT professionals who offer business applications for small and medium-sized enterprises.
    Downloads: 0 This Week
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  • 6
    idyuts is \"I Dare You to Use This Shell\"; a pre-hibernate approach to replacing an ORM written with jython functors into a pure-Java language command pattern. The \"pipeline codegen artifacts\" are simple IoC templates, and trivial to adapt
    Downloads: 0 This Week
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  • 7
    XML-DBM: lightweight embedded database to store, query and modify XML content without time and memory overhead of re-parsing/re-dumping original XML.
    Downloads: 0 This Week
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  • 8
    e4Graph is a C++ library and a Tcl binding providing persistent, reliable, cross-platform storage for graph like structures. Please visit http://e4graph.sourceforge.net for more info.
    Downloads: 0 This Week
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  • 9
    XSDB XML is to DATA as HTML is to DOCUMENT. Publish and combine data as easily as HTML format and web browsers publish and view documents. Implementations in Python, javascript, java, C#/.NET.
    Downloads: 0 This Week
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