Search Results for "e learning system"
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Showing 8 open source projects for "e learning system"
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Veeam Data Platform v13.1Try Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
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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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Vercel
Optimal workflow for frontend teams
Vercel combines the best developer experience with an obsessive focus on end-user performance. Our platform enables frontend teams to do their best work. Developers love Next.js, the open source React framework Vercel built together with Google and Facebook. Next.js powers the biggest websites like Twilio, for use cases in e-commerce, travel, news, and marketing. Vercel is the best place to deploy any frontend app. Start by deploying with zero configuration to our global edge network. Scale... -
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Astro
The web framework for content-driven websites
Astro powers the world's fastest marketing sites, blogs, e-commerce websites, and more. Astro improves website performance by rendering components on the server, sending lightweight HTML to the browser with zero unnecessary JavaScript overhead. Astro was designed to work with your content, no matter where it lives. Load data from your file system, external API, or your favorite CMS. Extend Astro with your favorite tools. -
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MDUI
Develop Material Design web applications
MDUI is beautiful, lightweight, and easy to use, it makes it easier for you to develop Material Design web applications. 19 main colors, 16 accent colors, 1-night theme, just add a CSS class to toggle. And supports automatic theme switching according to the operating system theme. CSS is only 32KB and JavaScript is only 19KB, which loads faster. All developed in TypeScript with perfect type hints. Mobile-first, gradually expand from small screen to large screen, and finally, realize all... -
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Redwood
The App Framework for Startups
...Optional TypeScript support gives you the best of JavaScript AND the best of a type system. -
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Lama Dev School Management Dashboard
Next.js-based school management dashboard interface
...Responsive styling allows the layout to adapt across desktop and smaller screens. Standard Next.js scripts provide development, production builds, startup, and linting. The repository functions mainly as a UI learning project and starter rather than a complete production school information system. -
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Rakkas
Bleeding-edge React framework powered by Vite
Rakkas is a bleeding-edge full-stack React framework powered by Vite. You can consider it an up-and-coming alternative to Next.js, Remix, or Gatsby. Although many features have been implemented, Rakkas is still under heavy development. It uses experimental and/or beta features of React and Vite. Minor releases will introduce breaking changes until we hit 1.0. As such, it's not yet ready for production use. If you need a stable React framework try Next.js, Remix, or Gatsby. create-rakkas-app... -
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KittenTricks
React Native starter kit with over 40 screens and themes
This perfect starter kit is an app based on React Native and UI Kitten library with Light and Dark themes support. It’s completely free and Open Source. Compose the application from available screens, add backend integration and you will end up with A-grade cross-platform mobile application. The themes can be changed in the runtime, without any need of reloading the application. A React Native framework for creating stunning cross-platform mobile applications. Design system-based, UI Kitten... -
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Facets
Visualizations for machine learning datasets
The power of machine learning comes from its ability to learn patterns from large amounts of data. Understanding your data is critical to building a powerful machine learning system. Facets contains two robust visualizations to aid in understanding and analyzing machine learning datasets. Get a sense of the shape of each feature of your dataset using Facets Overview, or explore individual observations using Facets Dive.
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