Search Results for "image processing framework"
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Showing 3 open source projects for "image processing framework"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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SoyBeans
A Task Processing Framework for Java
Soy Beans is an HTTP request processing framework written in Java. Written as an alternative to frameworks like Struts and Stripes, it provides a robust and extremely flexible API enabling rapid deployment, and dynamic configuration. -
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Tigermouse is a modern web applications framework for PHP and AJAX. It is lightweight, dynamic and well suited for enterprise-grade tasks because of its strong commitment to server-side business logic processing.
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This is simple and tiny template framework module. It processing is speedy. And provides extract variables, dictionary reference and sequencial variable loop. Import a tinpy module and call the build function, so it became generate document with templat
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