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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Страна не указанаТехнологии и приложения10 620...

📈 Аналитический обзор Telegram-канала GitHub Trends

Канал GitHub Trends (@githubtrending) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 11 342 подписчиков, занимая 10 620 место в категории Технологии и приложения.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 11 342 подписчиков.

Согласно последним данным от 26 августа, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 228, а за последние 24 часа — 6, при этом общий охват остаётся высоким.

Статус верификации: Не верифицирован
Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 5.85%. В первые 24 часа после публикации контент обычно набирает 2.75% реакций от общего числа подписчиков.
Охват публикаций: В среднем каждый пост получает 663 просмотров. В течение первых суток публикация набирает 312 просмотров.
Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 1.
Тематические интересы: Контент сосредоточен на ключевых темах, таких как linux, workflow, setup, claude, command.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
“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”

Благодаря высокой частоте обновлений (последние данные получены 27 августа, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.

11 342

Подписчики

+624 часа

+457 дней

+22830 день

663

Просмотры поста

~ 31224 часа

~ 40248 часов

5.85%

Коэффициент вовлеченности

~ 2

Постов в день

Ads index

beta

Архив постов

11 350

#tex #book #boulder #cu #robotics This book is a textbook about the main ideas behind autonomous robots, and its source code can be used for non-commercial purposes with credit, but compiled copies cannot be posted online. You can make your own PDF with LaTeX or Overleaf, and the book can be cited in standard academic form. The benefit to you is access to a practical robotics resource you can study, teach from, and compile for personal use. https://github.com/Introduction-to-Autonomous-Robots/Introduction-to-Autonomous-Robots

11 350

#python Music Assistant is a free, open-source tool that manages your music library by connecting to streaming services and speakers. It runs best on an always-on device like a Raspberry Pi and works seamlessly with Home Assistant for smart automation. The benefit to you is effortless control over all your music sources in one place, plus the ability to create automated routines (like playing music when you arrive home) without needing complex coding skills. https://github.com/music-assistant/server

11 350

#other This page presents a Zhang Xuefeng-style AI skill that turns his way of thinking into a usable tool for career and education advice. Its benefit is that you can get clear, direct, practical guidance on majors, jobs, and study choices instead of vague opinions. https://github.com/alchaincyf/zhangxuefeng-skill

11 350

#python SIA is a tool that helps an AI system improve itself by using three parts: a meta-agent that sets up the task, a target agent that tries the task, and a feedback agent that studies the results and makes the next version better. This can help you test AI on your own tasks, track progress across generations, and see what changes improve performance. https://github.com/hexo-ai/sia

11 350

#python SkillSpector scans AI agent skills before you install them and flags risky code, hidden instructions, data leaks, and other security problems, using fast checks and optional AI review. It can scan folders, files, Git repos, and zip files, and it gives an easy risk score plus clear advice so you can decide whether a skill is safe to use. https://github.com/NVIDIA/SkillSpector

11 350

#go AgentsView helps you browse, search, and track costs for AI coding agents in one local app, with no accounts and data kept on your machine. It can quickly show token use, daily spend, session details, and searchable chat history across many agents, so you can save time, control costs, and find past work fast. https://github.com/kenn-io/agentsview

11 350

#typescript #ai #ai_agents #ai_memory #anthropic #artificial_intelligence #claude #claude_agent_sdk #claude_agents #claude_code_plugin #claude_skills #codex #embeddings #long_term_memory #memory_engine #openclaw #openclaw_skills #postgres #rag Hivemind is a shared memory system for coding agents that saves prompts, tool calls, and replies, then turns repeated patterns into reusable skills for the whole team. It can make agents faster and cheaper, improve recall, and help you search past work, reuse solutions, and keep team rules and goals in one place. https://github.com/activeloopai/hivemind

11 350

#swift `container` is a Mac tool for running Linux containers like light virtual machines, made for Apple silicon and using standard OCI images, so you can run, share, and move containers with common registry tools. It needs macOS 26 and Apple silicon, is installed with a signed package, and can be started or removed with simple commands; this helps you test apps locally, move them between systems, and manage them more easily. https://github.com/apple/container

11 350

#python #csi #diy #esp_32 #espectre #home_assistant #motion_detection #wifi #wifi_sensing ESPectre is a cheap motion sensor that uses Wi‑Fi signal changes on an ESP32, so you do not need cameras, microphones, or wearables, and it works with Home Assistant through ESPHome.[user text] Set it up in about 10–15 minutes with basic YAML, use your normal 2.4 GHz router, and place the sensor about 3–8 meters away for best results.[user text] This helps you add private, low-cost motion detection for security, lights, energy saving, or room monitoring.[user text] https://github.com/francescopace/espectre

11 350

#python #bert #deepseek #healthcare #ios #llm #mlx #ner #on_device #on_premise #pii #pii_detection #qwen #sovereign_ai #swift #swift_package #swiftui OpenMed is a local-first healthcare AI that runs on your own device or server, so patient data never leaves your network. It can extract medical entities, remove personal info, and use 1,000+ medical models in Python, Swift, or REST, which helps you work faster while keeping data private and avoiding cloud costs and vendor lock-in. https://github.com/maziyarpanahi/openmed

11 350

#python #google #googlecloud #skills This repository gives you ready-made Google Cloud skills you can install with `npx skills add google/skills`, including tools for Gemini, BigQuery, Cloud Run, Firebase, GKE, and Google Cloud best practices. It helps you learn and use Google products faster, with setup help, support, and open-source licensing so you can copy, change, and share the skills freely. https://github.com/google/skills

11 350

#python #ai #apple_silicon #benchmarks #cli #command_line_tool #gguf #gpu #huggingface #inference #llm #local_llm #ollama #python #vram whichllm helps you find the best local AI model that fits your computer, not just the biggest one that fits. It checks your GPU, CPU, and RAM, ranks models using real benchmark data, and can also simulate other hardware, plan upgrades, and start a chat with a model in one command. This saves you time and helps you pick a model that should run well and work better for your needs. https://github.com/Andyyyy64/whichllm

11 350

#other #agent_skill_repository #agent_skills #agentic_skills #claude_code_marketplace #claude_code_plugins #claude_cowork_plugin #product_management PM Skills Marketplace gives you a set of AI tools for product management, with 68 skills, 42 workflows, and 9 plugins for work like discovery, strategy, PRDs, launches, metrics, and shipping AI-built code. It helps you make better product decisions by turning proven PM methods into step-by-step actions, so you save time, stay organized, and get more useful results from AI. https://github.com/phuryn/pm-skills

11 350

#php This is a free, open-source online shop system for PHP 8.0+ and MySQL 5.6+, with many features like payments, product sales, sub-shops, memberships, referrals, and plugins. The main benefit to you is that you can quickly build and expand an online store or digital service site, but you must follow the law and not use it for illegal or unauthorized commercial sales. https://github.com/lizhipay/acg-faka

11 350

#python #ann #avx512 #embedding #embeddings #faiss #nearest_neighbor #neon #python #quant #quantization #rag #rust #simd #turboquant #vector_search turbovec is a fast, local vector search tool that stores large embedding sets in much less memory, can search faster than FAISS in many cases, and works with Python and Rust. It helps you build private RAG systems because data stays on your machine, while online adding, filtering, and stable IDs make it easier to grow, control, and update your index without retraining or rebuilding. https://github.com/RyanCodrai/turbovec

11 350

#typescript Tolaria is a free, open-source desktop app for macOS, Windows, and Linux that helps you manage markdown notes and knowledge bases with files stored locally and synced through Git. It works offline, avoids lock-in, and lets you keep your data portable and easy to use with any editor or AI tool, which means you stay in control of your notes and can organize them faster. https://github.com/refactoringhq/tolaria

11 350

#rust #ai_pipelines #ai_workflows #durable_execution #durable_functions #durable_workflows #postgresql This tool runs long SQL jobs inside PostgreSQL and saves progress after each step, so a crash, restart, or failed step does not force you to start over. It helps you replace extra workers, queues, cron jobs, and status tables with one SQL-based workflow, making background work simpler, more reliable, and easier to track in the same database as your data. https://github.com/microsoft/pg_durable

11 350

#javascript #ai_agent #anthropic #automation #career #careerops #claude #claude_code #cli #golang #interview_prep #job_search #open_source #resume Career-Ops is an open-source tool that uses AI to help you search for jobs more wisely, not more blindly. It scans job sites, scores roles, makes tailored CV PDFs, tracks applications, and helps you focus only on the best matches, saving time and improving your chances. https://github.com/santifer/career-ops

11 350

#rust MXC is a sandbox system that runs untrusted code safely on Windows, Linux, and macOS with shared JSON settings and a TypeScript SDK. It helps you control files, network access, and UI use while giving you a safer way to test or run code; this can protect your computer and make automation easier to build. The project is still early preview, so its security rules are not yet final and should not be treated as fully trusted security boundaries. https://github.com/microsoft/mxc

11 350

#typescript Flue is a TypeScript framework for building autonomous AI agents that run headless, with no GUI, and work across Node.js, Cloudflare, CI, and other environments. It uses a built-in harness, sessions, sandboxes, skills, and Markdown-based agent logic, so you can build and deploy agents with less code and get faster, more scalable, reusable agents for tasks like support, coding, and triage. https://github.com/withastro/flue