GitHub Trends
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
Ko'proq ko'rsatish📈 Telegram kanali GitHub Trends analitikasi
GitHub Trends (@githubtrending) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 10 888 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 11 389-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 10 888 obunachiga ega bo‘ldi.
23 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 207 ga, so‘nggi 24 soatda esa 11 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 6.38% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.55% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 694 marta ko‘riladi; birinchi sutkada odatda 278 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 1 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent linux, workflow, setup, claude, command kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“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”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 24 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
Ma'lumot yuklanmoqda...
| Sana | Obunachilarni jalb qilish | Esdaliklar | Kanallar | |
| 24 Iyun | +5 | |||
| 23 Iyun | +11 | |||
| 22 Iyun | +13 | |||
| 21 Iyun | +5 | |||
| 20 Iyun | +1 | |||
| 19 Iyun | +13 | |||
| 18 Iyun | +10 | |||
| 17 Iyun | +2 | |||
| 16 Iyun | +1 | |||
| 15 Iyun | +4 | |||
| 14 Iyun | +6 | |||
| 13 Iyun | +4 | |||
| 12 Iyun | +7 | |||
| 11 Iyun | +9 | |||
| 10 Iyun | +12 | |||
| 09 Iyun | +11 | |||
| 08 Iyun | +7 | |||
| 07 Iyun | +4 | |||
| 06 Iyun | +13 | |||
| 05 Iyun | +5 | |||
| 04 Iyun | +11 | |||
| 03 Iyun | +12 | |||
| 02 Iyun | +5 | |||
| 01 Iyun | +5 |
| 2 | #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 | 153 |
| 3 | #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 | 176 |
| 4 | #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 | 174 |
| 5 | #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 | 200 |
| 6 | #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 | 399 |
| 7 | #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 | 372 |
| 8 | #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 | 449 |
| 9 | #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 | 513 |
| 10 | #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 | 544 |
| 11 | #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 | 497 |
| 12 | #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 | 456 |
| 13 | #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 | 476 |
| 14 | #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 | 476 |
| 15 | #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 | 436 |
| 16 | #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 | 420 |
| 17 | #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 | 436 |
| 18 | #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 | 492 |
| 19 | #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 | 495 |
| 20 | #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 | 482 |
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