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Xiaomi Home Integration is an integrated component of Home Assistant supported by Xiaomi official. It allows you to use Xiaomi IoT smart devices in Home Assistant.

Home Assistant version requirement:

• Core $\geq$ 2024.4.4
• Operating System $\geq$ 13.0

cd config
git clone https://github.com/XiaoMi/ha_xiaomi_home.git
cd ha_xiaomi_home
./install.sh /config

We recommend this installation method, for it is convenient to switch to a tag when updating xiaomi_home to a certain version.

For example, update to version v1.0.0

cd config/ha_xiaomi_home
git fetch
git checkout v1.0.0
./install.sh /config

HACS > Overflow Menu > Custom repositories > Repository: https://github.com/XiaoMi/ha_xiaomi_home.git & Category or Type: Integration > ADD > Xiaomi Home in New or Available for download section of HACS > DOWNLOAD

Xiaomi Home has not been added to the HACS store as a default yet. It's coming soon.

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Learn how to design large-scale systems.

Prep for the system design interview.

Learning how to design scalable systems will help you become a better engineer.

System design is a broad topic. There is a vast amount of resources scattered throughout the web on system design principles.

This repo is an organized collection of resources to help you learn how to build systems at scale.

This is a continually updated, open source project.

Contributions are welcome!

In addition…

Welcome to the public monorepo for tldraw. tldraw is a library for creating infinite canvas experiences in React. It's the software behind the digital whiteboard tldraw.com.

• Read the docs and learn more at tldraw.dev.
• Learn about our license.

Click here to learn about our license and pricing.

npm i tldraw

import { Tldraw } from 'tldraw'
import 'tldraw/tldraw.css'

export default function App() {
    return (
        <div style={{ position: 'fixed', inset: 0 }}>
            <Tldraw />
        </div>
    )
}

Learn more at tldraw.dev.

The local development server will run our examples app. The basic example will show any changes you've made to the codebase.

To run the local development server, first clone this repo.

Enable corepack to make sure you have the right version of yarn:

corepack 

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_{IMPORTANT: About Google Chrome's "This extension may soon no longer be supported"}

uBlock Origin (uBO) is a CPU and memory-efficient wide-spectrum content blocker for Chromium and Firefox. It blocks ads, trackers, coin miners, popups, annoying anti-blockers, malware sites, etc., by default using EasyList, EasyPrivacy, Peter Lowe's Blocklist, Online Malicious URL Blocklist, and uBO filter lists. There are many other lists available to block even more. Hosts files are also supported. uBO uses the EasyList filter syntax and extends the syntax to work with custom rules and filters.

You may easily unselect any preselected filter lists if you think uBO blocks too much. For reference, Adblock Plus installs with only EasyList, ABP filters, and Acceptable Ads enabled by default.

It is important to note that using a blocker…

All-in-one Browser Automation Framework:
Web Crawling / Testing / Scraping / Stealth

🚀 Start | 🏰 Features | 🎛️ Options | 📚 Examples | 🌠 Scripts | 📱 Mobile
📘 APIs | 🔠 Formats | 🔴 Recorder | 📊 Dashboard | 🗾 Locales | 💻 Farm
🎖️ GUI | 📰 TestPage | 👤 UC Mode | 🐙 CDP Mode | 📶 Charts | 🌐 Grid
👁️ How | 🚝 Migrate | 🗂️ CasePlans | ♻️ Template | 🧬 Hybrid | 🚎 Tours
🤖 CI/CD | 🕹️ JSMgr | 🌏 Translator | 🎞️ Presenter | 🛂 Dialog | 🖼️ Visual

SeleniumBase is the professional toolkit for web automation activities. Built for testing websites, bypassing CAPTCHAs, enhancing productivity, completing tasks, and scaling your business.

📚 Learn from over 200 examples in the SeleniumBase/examples/ folder.

🐙 Note that UC Mode / CDP Mode (Stealth Mode) have their own ReadMe files.

ℹ️…

The Anthropic Cookbook provides code and guides designed to help developers build with Claude, offering copy-able code snippets that you can easily integrate into your own projects.

To make the most of the examples in this cookbook, you'll need an Anthropic API key (sign up for free here).

While the code examples are primarily written in Python, the concepts can be adapted to any programming language that supports interaction with the Anthropic API.

If you're new to working with the Anthropic API, we recommend starting with our Anthropic API Fundamentals course to get a solid foundation.

Looking for more resources to enhance your experience with Claude and AI assistants? Check out these helpful links:

• Anthropic developer documentation
• Anthropic support docs
• Anthropic Discord community

The Anthropic Cookbook thrives on the contributions of the developer community. We value your input, whether it's submitting an idea…

Yazi (means "duck") is a terminal file manager written in Rust, based on non-blocking async I/O. It aims to provide an efficient, user-friendly, and customizable file management experience.

💡 A new article explaining its internal workings: Why is Yazi Fast?

• 🚀 Full Asynchronous Support: All I/O operations are asynchronous, CPU tasks are spread across multiple threads, making the most of available resources.
• 💪 Powerful Async Task Scheduling and Management: Provides real-time progress updates, task cancellation, and internal task priority assignment.
• 🖼️ Built-in Support for Multiple Image Protocols: Also integrated with Überzug++ and Chafa, covering almost all terminals.
• 🌟 Built-in Code Highlighting and Image Decoding: Combined with the pre-loading mechanism, greatly accelerates image and normal file loading.
• 🔌 Concurrent Plugin System: UI plugins (rewriting most of the UI), functional plugins, custom previewer/preloader/spotter/fetcher; Just some pieces of Lua.
• 📡…

From RAG chatbots to code assistants to complex agentic pipelines and beyond, build LLM systems that run better, faster, and cheaper with tracing, evaluations, and dashboards

Website • Slack community • Twitter • Documentation

Opik is an open-source platform for evaluating, testing and monitoring LLM applications. Built by Comet.

You can use Opik for:

• Development:

  • Tracing: Track all LLM calls and traces during development and production (Quickstart, Integrations

  • Annotations: Annotate your LLM calls by logging feedback scores using the Python SDK or the UI.

  • Playground:: Try out different prompts and models in the prompt playground

• Evaluation: Automate the evaluation process of your LLM application:

  • Datasets and Experiments: Store test cases and run experiments (Datasets, Evaluate your LLM Application)

  • LLM as a judge metrics: Use Opik's LLM as a judge…

Meet Cline, an AI assistant that can use your CLI aNd Editor.

Thanks to Claude 3.5 Sonnet's agentic coding capabilities, Cline can handle complex software development tasks step-by-step. With tools that let him create & edit files, explore large projects, use the browser, and execute terminal commands (after you grant permission), he can assist you in ways that go beyond code completion or tech support. Cline can even use the Model Context Protocol (MCP) to create new tools and extend his own capabilities. While autonomous AI scripts traditionally run in sandboxed environments, this extension provides a human-in-the-loop GUI to approve every file change and terminal command, providing a safe and accessible way to explore the potential of agentic AI.

1. Enter your task and add images to convert…

Quick Start | Documentation | Zero-to-Hero Guide

Llama Stack defines and standardizes the set of core building blocks needed to bring generative AI applications to market. These building blocks are presented in the form of interoperable APIs with a broad set of Service Providers providing their implementations.

Our goal is to provide pre-packaged implementations which can be operated in a variety of deployment environments: developers start iterating with Desktops or their mobile devices and can seamlessly transition to on-prem or public cloud deployments. At every point in this transition, the same set of APIs and the same developer experience is available.

⚠️ Note The Stack APIs are rapidly improving, but still very much work in progress and we invite feedback as well as direct contributions.

We have working implementations of the following APIs today:

• Inference
• Safety
• Memory
• Agents
• Eval
• Telemetry

Alongside these APIs, we also related APIs…

Explore the docs »

Register · Join Our Discord · X · Gitroom

• Schedule all your social media posts (many AI features)
• Measure your work with analytics.
• Collaborate with other team members to exchange or buy posts.
• Invite your team members to collaborate, comment, and schedule posts.
• At the moment there is no difference between the hosted version to the self-hosted version

• NX (Monorepo)
• NextJS (React)
• NestJS
• Prisma (Default to PostgreSQL)
• Redis (BullMQ)
• Resend (email notifications)

To have the project up and running, please follow the Quick Start Guide

https://pump.fun/coin/DMsTbeCfX1crgAse5tver98KAMarPWeP3d6U3Gmmpump

This repository's source code is available under the Apache 2.0 License…