Showing 4 open source projects for "astrology app source code"

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    Suave

    Suave

    Suave is a simple web development F# library

    Suave is a simple web development F# library providing a lightweight web server and a set of combinators to manipulate route flow and task composition. Suave is inspired in the simplicity of Happstack and born out of the necessity of embedding web server capabilities in my own applications. Suave supports Websocket, HTTPS, multiple TCP/IP bindings, Basic Access Authentication, Keep-Alive. Suave also takes advantage of F# asynchronous workflows to perform non-blocking IO. In fact, Suave is...
    Downloads: 5 This Week
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  • 2
    Gatsby

    Gatsby

    Build blazing fast, modern apps and websites with React

    Gatsby is a free and open source web framework based on React that allows you to build blazing fast websites and apps. It offers the latest web technologies, such as React.js, Webpack, modern JavaScript, CSS and more to help you build really fast websites. A Progressive Web App generator, it’s fast in every way that matters.
    Downloads: 0 This Week
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  • 3
    GoatCounter

    GoatCounter

    Easy web analytics. No tracking of personal data

    GoatCounter is an open-source web analytics platform available as a hosted service (free for non-commercial use) or self-hosted app. It aims to offer easy-to-use and meaningful privacy-friendly web analytics as an alternative to Google Analytics or Matomo. Privacy-aware; doesn’t track users with unique identifiers and doesn't need a GDPR notice. Fine-grained control over which data is collected. Also see the privacy policy and GDPR consent notices. Lightweight and fast; adds just ~3.5KB of...
    Downloads: 3 This Week
    Last Update:
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  • 4
    A comprehensive PHP implementation of the most important Twitter API functionalities that enables programmers to interact with Twitter in their own webapplications easily. Post new messages to Twitter by adding only 4 lines of code to your app!
    Downloads: 0 This Week
    Last Update:
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    Train ML Models With SQL You Already Know

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