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GitHub Trends

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

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El país no está especificadoTecnologías y Aplicaciones11 561

📈 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 10 764 suscriptores, ocupando la posición 11 561 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 10 764 suscriptores.

Según los últimos datos del 05 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 207, y en las últimas 24 horas de 1, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 5.52%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.81% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 594 visualizaciones. En el primer día suele acumular 302 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 06 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.

10 764
Suscriptores
+124 horas
+427 días
+20730 días
Archivo de publicaciones
#typescript #spotify #spotify_downloader #wails SpotiFLAC is a tool that downloads Spotify tracks in true lossless FLAC format using Tidal, Qobuz, or Amazon Music as sources, and it requires no account to use. It works on Windows, macOS, and Linux, offering high-quality audio preservation without losing sound data like compressed formats do. The main benefit is that you can keep your favorite Spotify music offline in the best possible audio quality while maintaining all song details like artist names and track information, making it ideal for audiophiles and music enthusiasts who want to preserve music fidelity. https://github.com/afkarxyz/SpotiFLAC

#javascript #erp #hacktoberfest #odoo #python OCA/web offers 40+ free addons for Odoo 18 web interface, like dark mode, responsive design, custom calendars, notifications, charts, and tree view improvements with maintainers listed. All pass pre-commit, build, and translation checks, licensed AGPL-3.0 or per module. You gain easy UI enhancements to customize Odoo backend faster, boost usability on mobile/touchscreens, save time on exports/filters, and improve productivity without coding from scratch. https://github.com/OCA/web

#python #ai #ai_agents #ai_coding #claude_code_plugin #claude_code_plugins #claude_code_plugins_marketplace #claude_marketplace #claude_plugin #claude_skills #docs #documentation #mcp #mcp_server #postgres #postgresql #skills pg-aiguide helps AI coding tools create better PostgreSQL code with semantic search of official docs, best-practice skills for schemas/indexes, and extension info like TimescaleDB. Install it free as a public MCP server or Claude plugin in tools like Cursor/VS Code for one-click setup. It fixes AI's weak spots—outdated code, missing constraints (4x more), indexes (55% more), and modern PG17 features—producing robust, fast, maintainable schemas that save you debugging time and production fixes. https://github.com/timescale/pg-aiguide

#python #self_hosted #youtube #youtube_dl #yt_dlp MeTube is a simple web tool to download YouTube videos, playlists, and content from dozens of sites using yt-dlp. Run it easily with Docker by mapping a downloads folder to your drive, then paste URLs in the browser GUI to pick quality, format (like MP4/MP3), and start queued downloads with progress tracking. Customize via env vars for concurrent limits, folders, or cookies for private videos. You benefit by self-hosting ad-free, private offline saves without command-line hassle, saving bandwidth and enjoying full control anytime. https://github.com/alexta69/metube

#c_lang Vanilla is an alpha-stage, open-source Wii U gamepad clone that lets you use devices like Steam Deck, Linux PCs, Nintendo Switch, Android phones, Windows, or Raspberry Pi as a replacement controller with touchscreen, needing 5GHz Wi-Fi (check compatibility). Download official builds from GitHub releases or distro packages; use keyboard mappings (e.g., Z=A, Enter=Plus) or controllers, with shortcuts like F5 for recording. It benefits you by fixing broken gamepads, enabling off-TV play, and preserving Wii U games cheaply without Nintendo hardware. https://github.com/vanilla-wiiu/vanilla

#shell #analyzer #appcleaner #clean #cleaner #cleaner_cli #cleaner_script #command_line #daisydisk #istat #mac #macos #optimize #sensei #shell #uninstall Mole is a free, open-source terminal tool that deeply cleans and optimizes your Mac by removing caches, logs, browser junk, and app leftovers—freeing up gigabytes like 95GB in one go. It smartly uninstalls apps with all hidden files, analyzes disk space visually, monitors CPU/memory live, and rebuilds caches for better speed. Install easily via curl or Homebrew, preview changes safely, and use Touch ID. This saves you money on paid cleaners, reclaims storage fast, boosts performance, and diagnoses issues simply from your terminal. https://github.com/tw93/Mole

#rust #agent #ai_agents #kanban #management #task_manager Vibe Kanban is a local web tool that helps you run, manage, and review multiple AI coding agents (Claude Code, Gemini CLI, Amp, etc.) from a single Kanban-style interface, letting agents run in isolated git worktrees, parallel or sequentially, and showing live progress, diffs, and options to start dev servers or create PRs so you keep your main codebase safe and organized. Benefit: you save time and reduce errors by orchestrating agents, reviewing their changes visually, and merging only vetted work instead of juggling terminals and branches manually. https://github.com/BloopAI/vibe-kanban

#shell #arch #bash #discord #dpi #goodbyedpi #linux #nfqws #nftables #ubuntu #youtube #zapret This Linux script (tested on Ubuntu 24.04 and Arch) easily sets up Zapret to bypass YouTube slowdowns and Discord blocks using Flowseal configs. Clone the repo, run `sudo bash main_script.sh` to pick a strategy (like general.bat), network interface, and save settings in conf.env for quick non-interactive launches or auto-start via `sudo bash service.sh`. It uses nftables, cleans up on stop, and skips auto-updates to stay stable. You get fast, reliable access to YouTube videos and Discord chats without hassle. https://github.com/Sergeydigl3/zapret-discord-youtube-linux

#csharp #algorithm #algorithmic_trading_engine #c_sharp #finance #forex #lean_engine #options #python #quantconnect #stock_indicators #trading #trading_algorithms #trading_bot #trading_platform #trading_strategies LEAN is a free, open-source platform for building, backtesting, and live-trading algorithms across stocks, forex, crypto, options, and more. Install the CLI with `pip install lean` to easily create projects, run research in Jupyter, backtest strategies, optimize, or deploy live trades from your terminal using Docker. Its modular design lets you customize everything. This saves you time by streamlining development, avoiding biases, and enabling fast, realistic testing to profit from better trading strategies. https://github.com/QuantConnect/Lean

#rust #async_io #expose #localhost #rust #tunnel Tunnelto is a Rust tool that exposes your local web server (like on port 8000) to a public URL via a simple tunnel. Install easily with `brew install agrinman/tap/tunnelto`, `cargo install tunnelto`, or downloads; run `tunnelto --port 8000` for quick start, with options for keys, subdomains, and hosts. Host your own server too. This benefits you by letting anyone access your local dev server securely online without complex setup, speeding up testing and sharing. https://github.com/agrinman/tunnelto

#rust #cryptocurrency #iced #orderbook_tick_data Flowsurface is a free, open-source desktop app for charting crypto trades on Binance, Bybit, Hyperliquid, and OKX. It offers real-time tools like heatmaps of order books, candlestick and footprint charts, time & sales lists, DOM ladders, and comparison graphs, plus sound alerts, multi-monitor support, and customizable layouts. Download prebuilt files for Windows, macOS, or Linux, or build with Rust. This helps you analyze liquidity, order flow, and market intent directly and privately, improving your trading decisions without paid software lock-in. https://github.com/flowsurface-rs/flowsurface

#python #auto_regressive_diffusion_model #diffusion_models #video_generation #wan_video LightX2V is a fast, lightweight framework for generating videos from text or images, supporting models like HunyuanVideo-1.5 and Wan2.1/2.2 with up to 20x speedup via 4-step distillation, low VRAM use (8GB+), and features like offloading, quantization, and multi-GPU parallelism—outperforming rivals on H100/RTX 4090. You benefit by creating high-quality videos quickly on everyday hardware, saving time and costs for content creation, prototyping, or professional workflows, with easy Docker/ComfyUI setup and free online trials. https://github.com/ModelTC/LightX2V

#cplusplus #arduino #ble_jammer #ble_spoof #ble_spoofer #cybersecurity #deauther #esp32 #hack #hacktoberfest #jammer #nrf_scanner #nrf24l01 #sour_apple nRFBOX is a handheld ESP32-based tool that scans and analyzes the 2.4 GHz band (Wi‑Fi, BLE, etc.), shows signal strength and channel activity, and can run jamming, BLE jamming/spoofing, and Wi‑Fi deauthentication tests for security research and troubleshooting. It combines an ESP32, NRF24 modules, OLED display, battery management, and SD support for firmware and logging, with notes about limited range, device variability, and power limits when using multiple NRF modules. Benefit: you can use it to find crowded channels, diagnose wireless interference, and test network/device resilience in controlled, legal test environments. https://github.com/cifertech/nRFBox

#rust #async #framework #http_server #rust #salvo #web Salvo is a simple yet powerful Rust web framework that gives you fast, modern servers (HTTP/1–3, WebSocket/WebTransport) with minimal Rust knowledge required, built on Hyper and Tokio. It uses a unified handler/middleware model, an infinitely nestable, chainable router for clear public/private route grouping, built-in multipart/file upload and data extraction, automatic OpenAPI generation, ACME TLS support, and a CLI to scaffold projects—so you can prototype and deploy secure, high-performance backends quickly with less boilerplate and easier routing, testing, and API documentation. https://github.com/salvo-rs/salvo

#jupyter_notebook DINOv3 offers powerful self-supervised vision models from Meta AI, like ViT up to 7B parameters and ConvNeXt, pretrained on 1.7B web or satellite images. Load them easily via PyTorch Hub, Hugging Face Transformers (v4.56+), or timm (v1.0.20+), with code examples for features, depth, detection, and segmentation. You benefit by using these top-performing, dense features without fine-tuning or labels—saving time and compute for tasks like classification, object detection, and zero-shot analysis on your images. https://github.com/facebookresearch/dinov3

#python #ai_tool #darkweb #darkweb_osint #investigation_tool #llm_powered #osint #osint_tool Robin is an AI tool that searches and scrapes the dark web, refines queries with large language models, filters results, and produces a concise investigation summary you can save or export, with Docker and CLI options and support for multiple LLMs (OpenAI, Anthropic, Gemini, local models) to fit your workflow. This helps you save hours of manual searching by automating multi-engine dark-web searches, scraping Onion sites via Tor, filtering noise with AI, and producing ready-to-use reports for faster, more focused OSINT investigations. https://github.com/apurvsinghgautam/robin

#python Bloom is a free, open-source tool that automates testing AI models for bad behaviors like bias or sycophancy. You define the behavior in a simple config file, add example chats if you want, and it runs four steps: understanding it, creating varied test scenarios, simulating talks with your target model (like Claude or GPT via APIs), and scoring results with metrics like how often the issue appears. View interactive transcripts easily. This saves you hours of manual work, lets you quickly compare models on fresh tests to avoid overfitting, and gives reliable, reproducible insights into AI safety—perfect for researchers building trustworthy systems. https://github.com/safety-research/bloom

#python #audio_generation #diffusion #image_generation #inference #model_serving #multimodal #pytorch #transformer #video_generation vLLM-Omni is a free, open-source tool that makes serving AI models for text, images, videos, and audio fast, easy, and cheap. It builds on vLLM for top speed using smart memory tricks, overlapping tasks, and flexible resource sharing across GPUs. You get 2x higher throughput, 35% less delay, and simple setup with Hugging Face models via OpenAI API—perfect for building quick multi-modal apps like chatbots or media generators without high costs. https://github.com/vllm-project/vllm-omni

#typescript #devops #infra #infrastructure Make beautiful isometric infrastructure diagrams https://github.com/stan-smith/FossFLOW

#python #docker #fastapi #kbqa #kgqa #llms #neo4j #rag #vue Yuxi-Know (语析) is a free, open-source platform built with LangGraph, Vue.js, FastAPI, and LightRAG to create smart agents using RAG knowledge bases and knowledge graphs. The latest v0.4.0-beta (Dec 2025) adds file uploads, multimodal image support, mind maps from files, evaluation tools, dark mode, and better graph visuals. It helps you quickly build and deploy custom AI agents for Q&A, analysis, and searches without starting from scratch, saving time and effort on development. https://github.com/xerrors/Yuxi-Know