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Source channel @githubtrending · Post #14784 · Jun 4

#vue#awesome#dashboard#docker#hacktoberfest#homelab#homepage#mit#nodejs#organization#productivity#pwa#self_hosted#startpage#vue Dashy is a free, open-source dashboard that lets you organize and access all your self-hosted services, apps, and web links from one central place, making it easy to manage and monitor everything you use regularly[1][2][4]. It comes with over 50 pre-built widgets for things like system monitoring, news, weather, and productivity, and you can customize the look and layout with themes, icons, and different views[4][5]. The main benefit is that Dashy saves you time and hassle by giving you a single, user-friendly page to launch and check on all your important services, with features like instant search, status indicators, and multi-language support[4][5]. https://github.com/Lissy93/dashy

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​​Совсем лайтовая статья для новичков "10 главных конструкций языка R". Содержание: - Комментарии - Переменные и векторы - Внешние модули - Ввод и вывод - Присваивание и сравнение - Условный оператор if - Цикл for - Функции - Классы, методы и объекты #статьи #easy

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@githubtrending · Post #15433 · 01/23/2026, 02:30 PM

#python#deepseek#demo#easy#embedding#flask#gpt#huggingface_transformers#llm#mcp#multimodal#openai#qwen#rag#sentence_transformers#ui#vllm#vlm UltraRAG is a lightweight framework that makes building retrieval-augmented generation (RAG) systems simple and fast. It uses a low-code approach where you write just dozens of lines of YAML configuration instead of complex code to create sophisticated AI workflows with conditional logic and loops. The framework includes a visual development environment where you can drag-and-drop to build pipelines, adjust parameters in real-time, and instantly convert your logic into interactive chat applications. This means you can deploy powerful AI systems that ground answers in your own data—reducing hallucinations and improving accuracy—without needing extensive coding expertise or lengthy development cycles. https://github.com/OpenBMB/UltraRAG