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GitHub Trends
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See what the GitHub community is most excited about today. A bot automatically fetches new repositories from https://github.com/trending and sends them to the channel. Author and maintainer: https://github.com/katursis
Mostrar másEl país no está especificadoTecnologías y Aplicaciones11 564
📈 Análisis del canal de Telegram GitHub Trends
El canal GitHub Trends (@githubtrending) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 10 774 suscriptores, ocupando la posición 11 564 en la categoría Tecnologías y Aplicaciones.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 10 774 suscriptores.
Según los últimos datos del 06 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 212, y en las últimas 24 horas de 4, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 5.58%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.78% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 601 visualizaciones. En el primer día suele acumular 300 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 1.
- Intereses temáticos: El contenido se centra en temas clave como linux, workflow, setup, claude, command.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“See what the GitHub community is most excited about today.
A bot automatically fetches new repositories from https://github.com/trending and sends them to the channel.
Author and maintainer: https://github.com/katursis”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 08 junio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.
10 774
Suscriptores
+424 horas
+437 días
+21230 días
Archivo de publicaciones
10 774
#python #agents #ai #llm #mcp
You can access a large collection of ready-to-use AI agent projects and tutorials that help you build smart applications like chatbots, research assistants, and automation tools using popular AI frameworks such as LangChain, OpenAI Agents SDK, and Agno. This collection includes simple starter agents, advanced multi-agent workflows, and tools with memory and document understanding. It also offers step-by-step setup instructions and video tutorials to help you learn quickly. Using these resources saves you time and effort in creating powerful AI apps, making it easier to develop, test, and deploy AI solutions even if you are new to AI programming.
https://github.com/Arindam200/awesome-ai-apps
10 774
#python #large_language_models #machine_learning_systems #natural_language_processing
Flash Linear Attention (FLA) is a fast, memory-efficient library for advanced linear attention models used in transformers, written in PyTorch and Triton, and compatible with NVIDIA, AMD, and Intel GPUs. It offers many state-of-the-art linear attention models and fused modules that speed up training and reduce memory use. You can easily replace standard attention layers in your models with FLA’s efficient versions, improving training and inference speed, especially for long sequences. FLA supports hybrid models mixing linear and standard attention, and integrates with Hugging Face Transformers for easy use and evaluation. This helps you train and run large language models faster and with less memory, making your AI projects more efficient and scalable.
https://github.com/fla-org/flash-linear-attention
10 774
#java #android #dalvik #kotlin #patches #revanced #reverse_engineering
ReVanced Patches let you customize Android apps by adding new features, blocking ads, changing how apps look, and more. You can remove annoying ads, personalize app themes, enable background playback, and unlock extra controls. Using tools like ReVanced Manager, you can easily apply these patches without technical hassle. This means you get a cleaner, more enjoyable app experience, especially for apps like YouTube, without paying for premium versions. It also supports ongoing updates and a community that keeps improving it, so your apps stay fresh and tailored to your needs.
https://github.com/ReVanced/revanced-patches
10 774
#python
ROMA is an open-source framework that helps you build smart multi-agent AI systems by breaking big, complex tasks into smaller parts that agents can work on at the same time. It uses a clear, step-by-step process where tasks are split, solved, and combined, making it easy to understand and fix problems. You can connect any AI model or tool, and it supports secure code execution and fast data access. This means you can create powerful, flexible AI agents for research, analysis, or other tasks, with full control and transparency over how they work, saving you time and effort in solving complex problems.
https://github.com/sentient-agi/ROMA
10 774
#typescript
Codebuff is an open-source AI coding assistant that helps you edit your entire codebase using simple natural language commands. It uses multiple specialized AI agents that work together to understand your project, plan changes, make precise edits, and review them for accuracy. This multi-agent system makes Codebuff more accurate and reliable than single-model tools, improving coding speed and reducing errors. You can install it easily via npm and start giving commands like "fix SQL injection" or "add rate limiting," and it will automatically find and update the right files while running tests to ensure nothing breaks. It also lets you create custom agents and integrate AI coding help directly into your projects, boosting productivity and simplifying complex coding tasks.
https://github.com/CodebuffAI/codebuff
10 774
#typescript #design #docs #gatsby #handbook #posthog #tailwindcss
PostHog.com is the website and code repository for PostHog, an open-source product analytics platform that helps you track user behavior, test new features, and improve your product all in one place. You can run the website locally by installing Node and Yarn, cloning the repo, and starting the development server. The site includes product docs, blogs, tutorials, and tools like job listings and pricing calculators. This setup lets you customize and contribute to the site easily, making it useful if you want to understand or improve PostHog’s platform or help develop its content and features. It supports collaboration and learning for developers and product teams.
https://github.com/PostHog/posthog.com
10 774
#javascript
Ripple is a new TypeScript UI framework that combines the best ideas from React, Solid, and Svelte to create a fast, reactive, and easy-to-use system for building web interfaces. It uses special `$`-prefixed variables for automatic reactive updates, supports clean reusable components with JSX-like syntax, and offers strong TypeScript integration with helpful VSCode tools. Ripple also includes reactive arrays, maps, and sets, making state management intuitive. Although still in early development and not ready for production, Ripple aims to improve developer experience and performance with fine-grain rendering and scoped CSS styling, helping you build modern web apps more efficiently.
https://github.com/trueadm/ripple
10 774
#javascript #ansi #ansi_escape_codes #chalk #cli #color #commandline #console #javascript #strip_ansi #terminal #terminal_emulators
Chalk is a popular Node.js tool that lets you easily add colors and styles to text in the terminal, making your console output clearer and more attractive. It supports many colors, including 256 and truecolor (millions of colors), and allows you to combine and nest styles like bold, underline, and background colors. Chalk auto-detects if your terminal supports colors and works without adding dependencies or changing built-in string behavior. You can create custom themes and use template literals for dynamic, colorful logs. This helps you highlight important information in your terminal output, improving readability and debugging. Chalk is reliable, actively maintained, and widely used in many projects.
https://github.com/chalk/chalk
10 774
#python
BlenderMCP connects Blender with Claude AI, letting you control 3D modeling and scene creation using simple text commands. You can create, modify, and delete objects, apply materials, adjust lighting, and even run Python scripts inside Blender through AI. It also supports downloading assets from Poly Haven and generating models with Hyper3D Rodin. This makes 3D design faster, easier, and more interactive, especially if you want to break down complex tasks or work step-by-step. It works on multiple platforms and integrates with tools like Visual Studio Code and Cursor for smooth workflows. Just install the Blender addon and set up the MCP server to start using AI-assisted 3D modeling.
https://github.com/ahujasid/blender-mcp
10 774
#typescript #ai #nocode #oss #synthetic_data
Hugging Face AI Sheets is a free, no-code tool that lets you create, improve, and change datasets easily using AI models through a spreadsheet-like interface. You can start with your own data or generate new data by writing simple prompts. It supports thousands of open AI models and works locally or online. You can clean data, classify text, add missing info, or create synthetic data without coding. It also lets you compare different AI models and improve results by editing outputs. This tool helps you save time and effort in managing data and testing AI models quickly and flexibly.
https://github.com/huggingface/aisheets
10 774
#scala
X's Recommendation Algorithm uses machine learning to show you posts and content you are most likely to engage with across its platform, including the "For You" timeline and notifications. It gathers a large pool of posts from people you follow and others you might like, then ranks them by predicting your interest based on your past actions like likes, clicks, and replies. It also filters out unwanted content and mixes in sponsored posts to keep your feed relevant and diverse. This means your feed is personalized to show you the most interesting and safe content, improving your experience on X.
https://github.com/twitter/the-algorithm
10 774
#python #agent #llms
AutoAgent lets you create and use powerful AI agents easily by just using natural language—no coding needed. It supports many large language models (LLMs) like OpenAI and Anthropic, and performs as well as top research AI systems on benchmarks. You can build tools, agents, and workflows quickly, manage data efficiently with its built-in vector database, and interact flexibly through different modes. It’s lightweight, customizable, and cost-effective, making it a personal AI assistant that helps automate complex tasks simply and efficiently. This saves you time and technical effort while giving you advanced AI capabilities.
https://github.com/HKUDS/AutoAgent
10 774
#typescript #examples #nextjs #vercel
Vercel offers ready-to-use templates and examples that help you quickly start web projects with best practices and optimized settings, especially for frameworks like Next.js. These templates save you time by handling setup and deployment details, letting you focus on coding. You can also contribute your own examples easily using provided commands and guidelines. Vercel automatically checks your code style and quality before commits, ensuring clean code. Plus, it integrates with Git and runs tests before deployment to catch bugs early. This makes building, deploying, and maintaining fast, reliable web apps much easier and faster for you.
https://github.com/vercel/examples
10 774
#typescript #agent #ai #aiagent #aiimage #aiimagegenerator #aitool #aitools #canva #comfyui #flux #stable_diffusion
Jaaz.app is a free, open-source creative tool like Canva that works locally on your computer, keeping your data private. It lets you create images and videos quickly using AI by simply sketching or describing what you want, without needing to write complex prompts. You can plan scenes on an unlimited canvas, collaborate in real time, and use smart AI agents to add objects or styles. It supports offline use and works on Windows and Mac. This means you get powerful, privacy-focused design and video creation without relying on the internet or risking your data security.
https://github.com/11cafe/jaaz
10 774
#html
You get access to a huge, well-organized collection of 2,053 ready-to-use n8n automation workflows covering 365 different services, all searchable instantly with a super fast, mobile-friendly documentation system. This system offers lightning-fast full-text search, smart categorization by service and use case, and clear, meaningful workflow names, making it easy to find exactly what you need. You can run the documentation locally with simple setup steps, explore workflows by category or complexity, and even download or visualize them. This saves you time and effort in building automations, helps you discover proven workflows quickly, and supports efficient workflow management and customization.
https://github.com/Zie619/n8n-workflows
10 774
#python
XLeRobot is a low-cost, easy-to-assemble household robot platform starting at about $660, designed for general manipulation tasks with dual arms and mobile capability. It supports various camera options and can be controlled via keyboard, Xbox controller, or VR devices without Wi-Fi, offering zero latency. The project provides detailed guides for buying parts, 3D printing, assembly, and software setup, making it accessible for robotics enthusiasts and learners. This robot helps you explore embodied AI affordably, enabling hands-on experience with autonomous household tasks and robotics research, all backed by active development and community support.
https://github.com/Vector-Wangel/XLeRobot
10 774
#typescript #ai_coding #ai_developer_tools #chatgpt #claude #gemini #sonnet #vscode #vscode_extension
Kilo Code is a free, open-source AI extension for Visual Studio Code that helps you write and manage code faster by generating code from natural language, automating repetitive tasks, and improving existing code. It uses advanced AI models like GPT-5 and Gemini 2.5 Pro, and you get $20 in free credits to try them. It also supports multiple modes for planning, coding, and debugging, plus a marketplace to add extra tools. You just install it from the VS Code Marketplace, sign in, and start coding with AI that adapts to your workflow, saving you time and effort on boring tasks.
https://github.com/Kilo-Org/kilocode
10 774
#cplusplus #controller #gamepad #gamepad_api #games #gaming #keyboard_emulation
AntiMicroX lets you use a gamepad to control your computer by mapping gamepad buttons to keyboard keys, mouse actions, scripts, or macros. It works on Linux and Windows, supports many gamepads, and allows you to create multiple profiles for different apps or games. This makes it easier to play games that don’t support controllers or to control desktop apps with a gamepad, improving comfort and accessibility. You can install it easily on various systems, including Windows, Linux (via Flatpak, AppImage, or package managers), and customize it to fit your needs. It’s open-source and free to use.
https://github.com/AntiMicroX/antimicrox
10 774
#rust #blockchain #fhe #privacy
FHEVM by Zama lets you create smart contracts on Ethereum-like blockchains that keep all data fully encrypted and private while still running normally. It uses Fully Homomorphic Encryption (FHE) so computations happen on encrypted data without revealing it. This means your transactions, balances, votes, or game moves stay secret but verifiable. You can write these contracts in Solidity like usual, with no need to learn complex cryptography. FHEVM is fast, secure against quantum attacks, and works with existing apps. This helps you build private DeFi, auctions, voting, and more, protecting sensitive info on public blockchains. It makes blockchain apps more secure and private without losing functionality.
https://github.com/zama-ai/fhevm
10 774
#rust #artificial_intelligence #big_data #data_engineering #distributed_computing #machine_learning #multimodal #python #rust
Daft is a powerful, easy-to-use data engine that lets you process large-scale data using Python or SQL with high speed and efficiency. It supports complex data types like images and tensors, works well interactively for quick data exploration, and can scale to huge cloud clusters using Ray. Daft integrates smoothly with cloud storage and data catalogs, making it ideal for data engineering, analytics, and machine learning workflows. By using Daft, you can handle big, multimodal datasets faster and more flexibly, improving your ability to analyze and prepare data for AI models without complex setup or slowdowns.
https://github.com/Eventual-Inc/Daft
