اکنون در دسترس! پژوهش تلگرام ۲۰۲۵ — مهمترین بینشهای سال 
GitHub Trends
رفتن به کانال در Telegram
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
نمایش بیشترکشور مشخص نشده استفناوری و برنامهها11 563
📈 تحلیل کانال تلگرام GitHub Trends
کانال GitHub Trends (@githubtrending) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 10 750 مشترک است و جایگاه 11 563 را در دسته فناوری و برنامهها دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 10 750 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 03 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 217 و در ۲۴ ساعت گذشته برابر 12 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 5.38% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 2.81% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 578 بازدید دریافت میکند. در اولین روز معمولاً 302 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 1 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند linux, workflow, setup, claude, command تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“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”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 04 ژوئن, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامهها تبدیل کردهاند.
10 750
مشترکین
+1224 ساعت
+407 روز
+21730 روز
آرشیو پست ها
10 754
#typescript #ai_agent #ai_coding_agent #anthropic #bun #claude #cli #coding_assistant #llm #mcp #multi_provider #openai #rust #terminal #tui #typescript
omp is a coding agent with the IDE built in. It works on macOS, Linux, and Windows, and gives you many tools for reading, editing, searching, debugging, browser use, and subagents. It can use lots of AI providers and model choices, and it is made to work well right away with real coding tasks. The benefit for you is faster, more accurate coding help in one place, with less setup and fewer extra tools.
https://github.com/can1357/oh-my-pi
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Files.md is a simple, private app for plain `.md` files. It lets you store notes, documents, journals, tasks, and checklists on your device, with no data sent to a server. You can use it offline, sync later if you want, and even connect it to a chatbot or your own server. The main benefit is clear: you keep full control of your files and can think, write, and organize ideas in one calm place.
https://github.com/zakirullin/files.md
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#cplusplus
OpenToonz is a free 2D animation program for Windows, macOS, Linux, and BSD. It comes from Studio Ghibli and Toonz Studio, and you can download it, build it from source, or help test and improve it. The main benefit is that it gives you a powerful tool to make animations, with open licensing that allows personal or business use.
https://github.com/opentoonz/opentoonz
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#rust #agentic_coding #ai_coding #anthropic #claude_code #cli #command_line_tool #cost_reduction #developer_tools #llm #open_source #productivity #rust #token_optimization
RTK is a fast command-line proxy for AI tools that cuts token use by 60–90% by cleaning and shrinking command output before it reaches the model. It works with many tools and commands, including Git, tests, builds, and cloud tools, with very little delay. This helps you save money, keep responses shorter, and use AI coding tools more efficiently.
https://github.com/rtk-ai/rtk
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#python #agentic_aigc #video_generation
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https://github.com/HKUDS/ViMax
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https://github.com/Diolinux/PhotoGIMP
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https://github.com/borglab/gtsam
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#batchfile #flighthub #powershell #scripts #tweaks #windows #windows_10 #windows_11 #windows10 #windows11
Awesome Win11 is a guide and script collection for changing Windows 11 with PowerShell and registry tweaks. It helps you adjust the look and behavior of the system, remove or restore apps, change the taskbar, Explorer, and context menu, and disable features like updates, Defender, Cortana, and Edge settings. The benefit is more control, a cleaner desktop, and easier setup without using many third-party tools. Use it carefully, because some changes can break updates or reduce security.
https://github.com/awesome-windows11/windows11
10 754
#c_lang #bldc #control #field_oriented_control #foc #hoverboard #motor
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https://github.com/EFeru/hoverboard-firmware-hack-FOC
10 754
#python
CLI-Anything turns software into agent-ready command line tools, so AI agents can use real apps through simple text commands instead of fragile GUI steps. It supports one-command setup, a 7-step build process, JSON output, REPL use, and a CLI-Hub for browsing and installing tools. The benefit to you is faster automation, less setup work, and more reliable control of software like Blender, GIMP, LibreOffice, and many others.
https://github.com/HKUDS/CLI-Anything
10 754
#python #ai_agents #amd #comfyui #docker #llama_cpp #llm #local_ai #n8n #nvidia #open_webui #rag #self_hosted #speech_to_text #strix_halo #text_to_speech #workflow_automation
Dream Server lets you run AI on your own machine instead of renting it from a cloud service. It works on Linux, Windows, and macOS, and it can set up chat, voice, agents, search, image tools, and privacy tools with one command. The main benefit is more control: your data stays with you, costs can be lower, and you can keep using AI even without a cloud account.
https://github.com/Light-Heart-Labs/DreamServer
10 754
#typescript #agent #ai #antigravity #claude_code #copilot #cursor #skills
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https://github.com/tech-leads-club/agent-skills
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#python #ai #ai_agents #conversational_ai #fastapi #llm #nextjs #open_source #outbound_calls #pipecat #python #self_hosted #speech_to_text #telephony #text_to_speech #voice #voice_agents #voice_ai #voice_assistant #voip #webrtc
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https://github.com/dograh-hq/dograh
10 754
#jupyter_notebook #agent #agent_framework #agents #ai_agents #deployment #genai #generative_ai #langgraph #llm #llms #mlops #production #python #tutorials
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https://github.com/NirDiamant/agents-towards-production
10 754
#typescript
CodeGraph helps Claude Code understand a codebase faster by using a local knowledge graph instead of scanning files again and again. It can cut tool calls and time a lot, find symbols, callers, and related code, and keep the graph updated as files change. It works with many languages, stays 100% on your machine, and is easy to start with `npx @colbymchenry/codegraph`. This helps you explore code faster, use fewer tokens, and make changes with more confidence.
https://github.com/colbymchenry/codegraph
10 754
#go
witr is a command-line tool that shows why a process, port, file, or service is running. It explains the start chain, source, and context in one clear view, and it can also open an interactive terminal dashboard. This helps you debug faster, understand incidents quickly, and avoid using many separate tools.
https://github.com/pranshuparmar/witr
10 754
#python #automation #claude #mcp #notebooklm #skill
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https://github.com/joeseesun/qiaomu-anything-to-notebooklm
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#c_lang #android #c #ffmpeg #libav #mirroring #recording #screen #sdl2
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https://github.com/Genymobile/scrcpy
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#typescript
# gstack the creator went from 14 lines of code per day in 2013 to 11,417 in 2026—a 810× improvement. It's free, MIT licensed, and works with multiple AI coding agents beyond just Claude.
https://github.com/garrytan/gstack
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#python #agents #llm #rag #skills #video_analytics #video_search #vlm
NVIDIA's Video Search and Summarization blueprint lets you build AI agents for fast video analysis, including real-time intelligence, alerts, natural language search, Q&A, and long-video summaries using vision models and NIM microservices. Deploy easily via Docker or cloud notebooks on supported NVIDIA hardware. This saves you time analyzing huge video volumes for smart monitoring, warehouses, or operations, boosting decisions and efficiency with ready workflows and custom options.
https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization
