Showing 4 open source projects for "python data analysis"

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    Mezzanine

    Mezzanine

    CMS framework for Django

    Mezzanine is a powerful open source content management platform built using the Django framework. In many ways it is like many other content management tools, offering an intuitive interface for managing all of your content. But Mezzanine is different in that it provides most of its functionality by default. While other platforms rely heavily on modules or reusable applications, Mezzanine comes ready with all the functionality you need, making it the more efficient choice. Mezzanine has a...
    Downloads: 0 This Week
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    CerberusCMS5

    CerberusCMS5

    Cerberus Content Management System

    Cerberus Content Management System is a dynamic, secure and infinitely expandable CMS designed after a Unix-Like model. It is a custom written Web Application Framework ( W.A.F. ) with a consistent and custom written Pre-Hyper-Text-Post-Processor Programming Code Framework ( P.C.F. ). This Web Application Software Project' aim is to be the fastest and most secure Web Application Framework, Web Application Programming Code Framework, Text, Voice and Video Communications Platform and Content...
    Downloads: 2 This Week
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  • 3
    GIIAF Microscopy Library

    GIIAF Microscopy Library

    The GIIAF Microscopy Library, that uses customised OMERO software

    This project incorporates a suite of tools that aim to allow researchers within Griffith's Imaging and Image Analysis Facility (GIIAF) to efficiently and effectively provide secure, centralised, web-accessible data storage, management and manipulation. The open-source Java-based OMERO software was customised to provide most of the features of this project.
    Downloads: 0 This Week
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  • 4
    StatiCMS is a content management system that is purely static: all output is generated offline. Thanks to a plugin system, all kinds of static data can be generated and a dependency checker makes building fast.
    Downloads: 0 This Week
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    Train ML Models With SQL You Already Know

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