Showing 6 open source projects for "python data analysis"

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  • 1
    Django OAuth Toolkit

    Django OAuth Toolkit

    OAuth2 goodies for the Djangonauts!

    Django OAuth Toolkit can help you by providing, out of the box, all the endpoints, data, and logic needed to add OAuth2 capabilities to your Django projects. Django OAuth Toolkit makes extensive use of the excellent OAuthLib, so that everything is rfc-compliant. OAuth is an open standard for access delegation, commonly used as a way for Internet users to grant websites or applications access to their information on other websites but without giving them the passwords. Django is a high-level...
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  • 2
    TurboGears

    TurboGears

    Python web framework with full-stack layer

    TurboGears is a hybrid web framework able to act both as a Full Stack framework or as a Microframework. TurboGears helps you get going fast and gets out of your way when you want it! TurboGears can be used both as a full stack framework or as a microframework in single-file mode. TurboGears 2 is built on top of the experience of several next-generation web frameworks including TurboGears 1 (of course), Django, and Rails. All of these frameworks had limitations that frustrated us, and TG2 was...
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  • 3
    Django-dataplot enables developers using the Django web framework to seamlessly integrate data-driven graphical plots into their web pages.
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  • 4
    This project is an XML oriented Web Framework that relies on python for expansion of XML data into web pages, while keeping code and content sepearted. Coupling this with CSS allows for complete page formatting and styling without touching python code
    Downloads: 0 This Week
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  • 5
    A simple Python-based web framework for viewing and editing genealogy data. Allows users to browse your family tree and make changes, such as adding new people, adding or deleting images, or notes and stories. Works with GEDCOM v5.5 and Spyce.
    Downloads: 0 This Week
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  • 6
    Spoor is a lightweight, highly-customizable wiki engine with support for dynamically creating fields for structured data. It is written in Python and utilizes the Django web framework.
    Downloads: 0 This Week
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