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 приложения11 389...

📈 Аналитический обзор Telegram-канала GitHub Trends

Канал GitHub Trends (@githubtrending) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 10 888 подписчиков, занимая 11 389 место в категории Технологии и приложения.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 10 888 подписчиков.

Согласно последним данным от 23 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 207, а за последние 24 часа — 11, при этом общий охват остаётся высоким.

Статус верификации: Не верифицирован
Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 6.38%. В первые 24 часа после публикации контент обычно набирает 2.55% реакций от общего числа подписчиков.
Охват публикаций: В среднем каждый пост получает 694 просмотров. В течение первых суток публикация набирает 278 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 24 июня, 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.

10 888

Подписчики

+1124 часа

+527 дней

+20730 день

694

Просмотры поста

~ 27824 часа

~ 35948 часов

6.38%

Коэффициент вовлеченности

~ 2

Постов в день

Ads index

beta

Архив постов

10 888

#typescript DESIGN.md is a Markdown file that combines exact design values (like colors and fonts) with clear explanations of why they matter, giving AI agents a persistent, structured understanding of your brand's visual identity. This benefits you by ensuring every AI-generated design stays consistent with your brand without needing to repeat rules, while its built-in CLI tools automatically validate accessibility and catch errors before code is written. https://github.com/google-labs-code/design.md

10 888

#go no-mistakes is a local git proxy that validates your code with AI before pushing it to your real remote, automatically fixing safe errors and opening clean pull requests. You benefit by saving time because it blocks sloppy code from reaching your team, ensures your PRs are ready for review immediately, and lets you or your coding agent focus only on important decisions while the tool handles testing, linting, and documentation. https://github.com/kunchenguid/no-mistakes

10 888

#typescript #ade #agent_ide #ai_agents #claude_code #cli #codex #cursor_agent #devtools #ghostty #ide #mobile_app #opencode #orchestration #parallel_agents #pi #terminal #worktrees #yc_backed Orca is an open-source AI development environment that lets you run multiple coding agents like Claude Code or Codex side-by-side in isolated worktrees, monitor them from your phone, and merge the best results. You benefit by saving time avoiding repetitive tasks, comparing AI outputs instantly, and building faster without switching contexts, all while using any CLI agent you prefer on macOS, Windows, or Linux. https://github.com/stablyai/orca

10 888

#kotlin #android #androidauto #headunit Headunit Revived is an Android app that turns your tablet or phone into a display for Android Auto, using your phone to process maps and audio instead of the tablet. This saves you from buying a expensive new car head unit, letting you enjoy Android Auto’s safe, distraction-free interface on a larger screen you already own while keeping all heavy processing on your phone. https://github.com/andreknieriem/headunit-revived

10 888

#python Hiring Agent reads your PDF resume, extracts structured data, and enriches it with your GitHub profile to give a fair, explainable score with category breakdowns. You benefit by getting an objective evaluation that removes human bias, highlights your real skills and projects, and speeds up your hiring process with transparent, evidence-backed feedback you can trust and improve. https://github.com/interviewstreet/hiring-agent

10 888

#typescript #ai #ai_agents #ai_tools #automation #boilerplate #claude #claude_code #clone #developer_tools #nextjs #react #reverse_engineering #shadcn_ui #skills #tailwindcss #template #typescript #web_scraping #website_clone This template helps you rebuild a website into a clean Next.js app with AI coding tools. You point it at a URL, run `/clone-website`, and it finds the design, downloads assets, writes component plans, and builds the site in parts, which saves time and helps you recreate a site more accurately. https://github.com/JCodesMore/ai-website-cloner-template

10 888

#typescript #ai #animation #ffmpeg #framework #gsap #html #mcp #puppeteer #rendering #typescript #video HyperFrames is an open-source tool that turns HTML, CSS, media, and animations into MP4 videos. You can use it with the CLI or with AI coding agents, and the same input makes the same video every time, which helps with previewing, testing, and automated production. This benefits you by letting you make editable, web-style videos faster without learning a new video editor, while keeping the output reliable and easy to render locally. https://github.com/heygen-com/hyperframes

10 888

#other #football #football_data #soccer #soccer_data This dataset has 49,398 men’s full international football matches from 1872 to 2024, with scores, tournaments, locations, penalty shootouts, and goal scorers. It uses current team names for easier tracking, but country names stay true to the time of each match, which makes history and team stats easier to analyze. You can use it to study team strength, football trends over time, home advantage, major tournament effects, and which countries host the most matches. https://github.com/martj42/international_results

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#kotlin #android #api #app #bark #call #chatgpt #dingding #forward #mqtt #pushdear #pushplus #serverchan #sms #smtp #telegram #webhook #wechatapp SmsForwarder is a free open-source Android app that watches SMS, calls, and app alerts, then forwards them by rules to tools like email, Telegram, DingTalk, WeCom, Feishu, webhook, and another phone. It also supports remote actions such as sending SMS, checking messages, calls, contacts, and battery, plus simple automation. The benefit for you is that one phone can keep sending important alerts to your main device or work tools, so you can stay informed and manage messages more easily. https://github.com/pppscn/SmsForwarder

10 888

#swift #ai_video #claude #macos #mcp #seedance2 #swift #video_editor Palmier Pro is a free, open-source Mac video editor made for AI. You can edit videos in a timeline, generate images and video inside the editor, and let tools like Claude, Codex, or Cursor help with the work through MCP. The main benefit is that you can create and edit faster in one place, without switching between different apps. It works on macOS 26 with Apple Silicon only, and the AI generation features need a login and subscription. https://github.com/palmier-io/palmier-pro

10 888

#typescript #agents #ai #react Agent-Native is an open-source framework for building apps where people and AI agents use the same actions, data, and interface. It helps you build faster, keep everything in sync, and own the code, so you can add agent features, chat, and full apps without lock-in. https://github.com/BuilderIO/agent-native

10 888

#html #awesome #awesome_list #generative_ai #interview_questions #large_language_models #llms #notebook_jupyter #vision_and_language This guide is a free, one-stop place for generative AI learning. It gives you papers, courses, roadmaps, interview prep, code notebooks, and tools, so you can quickly learn the basics, build apps, and prepare for jobs. It helps you save time by putting many useful resources in one place and showing what to study next. https://github.com/aishwaryanr/awesome-generative-ai-guide

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#python #ai #ai_agents #cli #hypergraph #information_extraction #knowledge #knowledge_graph #llm #python #rag Hyper-Extract is a tool that uses AI to turn messy documents into clean, structured knowledge like lists, graphs, and linked data with one command. It gives you fast search, easy visual reports, and ready-made templates, so you can save time, understand information faster, and keep adding new documents without rebuilding everything. https://github.com/yifanfeng97/Hyper-Extract

10 888

#typescript #api #api_client #api_design #curl #electron_app #graphql #grpc #http_client #rest_api #websockets Insomnia is a free, open-source API tool for designing, testing, debugging, and mocking APIs across REST, GraphQL, gRPC, WebSockets, and more. You can keep data local, sync with Git or the cloud, and use features like automated tests, OpenAPI design, CLI support, and collaboration, which helps you work faster, protect sensitive data, and manage API projects more easily. https://github.com/Kong/insomnia

10 888

#other #agentic_ai #coding #llm #long_horizon GLM-5.2 is the latest open-source model built for long, complex tasks, featuring a stable 1 million-token context that lets you handle huge projects without losing track of details. It also offers stronger coding skills with flexible thinking modes to balance speed and quality, plus faster performance. You benefit by getting reliable, high-quality results for big software engineering jobs, automated research, or long planning sessions, all while using an open model that saves costs compared to closed alternatives. https://github.com/zai-org/GLM-5

10 888

#python #generative_ai #ltx #ltx_2 LTX-2 is an open-source AI video model that makes video and sound together in one system, with sync between speech, movement, and audio. It offers high-quality results, multiple speed and quality modes, API use, and local running, so you can create faster previews or more polished videos depending on your needs. https://github.com/Lightricks/LTX-2

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#other #ai #artificial_intelligence #deep_learning #intelligent_machines #intelligent_systems #machine_intelligence #machine_learning #neural_network #reinforcement_learning #statistical_learning #unsupervised_learning This is a curated AI roadmap with books, courses, papers, tools, and agents for learning and building modern AI systems. It helps you quickly find trusted resources for RAG, agents, evals, deployment, and coding tools, so you can learn faster and build better AI products with less guesswork. https://github.com/owainlewis/awesome-artificial-intelligence

10 888

#python #agent #agentic_ai #ai #claude #copilot #cursor #elevenlabs #ffmpeg #flux #image_generation #open_source #openai #python #remotion #stable_diffusion #text_to_speech #text_to_video #video_generation #video_production OpenMontage turns a plain idea or even a reference video into a full video production workflow, handling research, script writing, asset creation, editing, captions, and final rendering. Your benefit is faster video creation with lower cost, more control, and fewer surprises, because it can use free/open footage or AI tools, estimate cost first, and check quality before showing you the result. https://github.com/calesthio/OpenMontage

10 888

#c_lang #aider #ast #claude_code #code_analysis #code_intelligence #codex #cursor #cypher #developer_tools #gemini_cli #graph_visualization #kilocode #knowledge_graph #mcp #mcp_server #model_context_protocol #opencode #sqlite #tree_sitter #windsurf This is a fast, local code tool that builds a smart map of a codebase, so you can find functions, calls, routes, and dependencies in seconds instead of reading files one by one. It works on macOS, Linux, and Windows, supports many languages, and helps you understand changes, reduce wasted tokens, and save time while coding. https://github.com/DeusData/codebase-memory-mcp

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#python RLMs let a language model break a large task into smaller parts, call itself again, and work through very long inputs more effectively. They include tools for local or isolated code execution, support major model providers, and offer training and logging features. For you, this means better handling of long-context tasks, more flexible model workflows, and a way to test or train your own recursive AI system safely. https://github.com/alexzhang13/rlm