لا تقع ضحية للمخادعين! تيليمتريو يكتشف ويُميّز هذه القنوات 👉 إذا كنت تريد رؤية العلامة، اشترك

Github Top Repositories

الذهاب إلى القناة على Telegram

Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.

إظهار المزيد

📈 نظرة تحليلية على قناة تيليجرام Github Top Repositories

تُعد قناة Github Top Repositories (@githubre) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 15 170 مشتركاً، محتلاً المرتبة 13 479 في فئة التعليم والمرتبة 26 167 في منطقة الهند.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 15 170 مشتركاً.

بحسب آخر البيانات بتاريخ 02 نوفمبر, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 447، وفي آخر 24 ساعة بمقدار 3، مع بقاء الوصول العام مرتفعاً.

حالة التحقق: غير موثّقة
معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 0.96‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 0.64‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
وصول المنشورات: يحصل كل منشور على متوسط 146 مشاهدة. وخلال اليوم الأول يجمع عادةً 97 مشاهدة.
التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 1.
الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل repository, fork, programming, statistic, description.

📝 الوصف وسياسة المحتوى

يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
“Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.”

بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 03 نوفمبر, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التعليم.

15 170

المشتركون

+324 ساعات

+367 أيام

+44730 أيام

146

عرض المشاهدات

~ 9724 ساعات

~ 11348 ساعات

0.96%

معدل المشاركة

~ 35

المشاركات في اليوم

Ads index

أرشيف المشاركات

15 180

⚡ immich-app/immich is making waves. Here's the full picture. 🔗 https://github.com/immich-app/immich 📝 High performance self-hosted photo and video management solution. ────────────────────────────── Could not generate summary at this time. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

15 180

🎯 jundot/omlx landed on trending. Worth a proper look. 🔗 https://github.com/jundot/omlx 📝 LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar ────────────────────────────── Could not generate summary at this time. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

15 180

🔍 Deep-diving into santifer/career-ops — fresh off the trending list. 🔗 https://github.com/santifer/career-ops 📝 Open-source AI job search: scan job portals, evaluate listings with a structured A-F rubric into a 1.0-5.0 score, tailor your CV, track applications — runs locally in your AI coding CLI (Claude Code, Codex, OpenCode, Antigravity…) ────────────────────────────── Could not generate summary at this time. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

15 180

⚡ AlexsJones/llmfit is making waves. Here's the full picture. 🔗 https://github.com/AlexsJones/llmfit 📝 Hundreds of models & providers. One command to find what runs on your hardware. ────────────────────────────── Could not generate summary at this time. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

15 180

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15 180

🔍 Deep-diving into mukul975/Anthropic-Cybersecurity-Skills — fresh off the trending list. 🔗 https://github.com/mukul975/Anthropic-Cybersecurity-Skills 📝 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains · Apache 2.0 ────────────────────────────── README not available for this repository. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

15 180

🌟 nautechsystems/nautilus_trader caught my eye on GitHub Trending today. 🔗 https://github.com/nautechsystems/nautilus_trader 📝 Production-grade Rust-native trading engine with deterministic event-driven architecture ────────────────────────────── README not available for this repository. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

15 180

🌟 usestrix/strix caught my eye on GitHub Trending today. 🔗 https://github.com/usestrix/strix 📝 Open-source AI penetration testing tool to find and fix your app’s vulnerabilities. ────────────────────────────── Could not generate summary at this time. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

15 180

🔥 harry0703/MoneyPrinterTurbo is trending — and it deserves your attention. 🔗 https://github.com/harry0703/MoneyPrinterTurbo 📝 利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow. ────────────────────────────── Could not generate summary at this time. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

15 180

🎯 cactus-compute/needle landed on trending. Worth a proper look. 🔗 https://github.com/cactus-compute/needle 📝 14MB foundation model for tiny devices; phones, wearables, smart home, and robots. ────────────────────────────── Needle 2 is an open-source, 45M-parameter model designed for tool calling, device use, and structured extraction. It's a compact, self-contained model that runs on a single 14MB binary, using approximately 28MB of RAM. Key features include a simple contract for tool calls, confidence-gated responses, and tool retrieval capabilities. To get started, you can install the cactus-needle package using pip install cactus-needle, then describe your tools and call them from Python. The model supports fine-tuning with LoRA, allowing you to adapt it to your specific use case. The model is suitable for developers and researchers looking to integrate a compact, versatile AI model into their applications. One-liner takeaway: Needle 2 packs a punch as a tiny, 14MB model that delivers big on tool calling and structured extraction capabilities. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

15 180

💡 ToolJet/ToolJet just hit the trending charts — here's why it matters. 🔗 https://github.com/ToolJet/ToolJet 📝 ToolJet is the open-source foundation of ToolJet AI - the enterprise app generation platform for building internal tools, dashboard, business applications, workflows and AI agents 🚀 ────────────────────────────── ToolJet is an open-source platform for building and deploying internal tools, workflows, and AI agents. It offers a visual builder with a drag-and-drop UI, integrations with databases, APIs, SaaS apps, and object storage. Key features include a built-in no-code database, multi-page apps and multiplayer editing, and 80+ data sources. To get started, you can create a ToolJet Cloud account or self-host using Docker with the following command:

docker run \
  --name tooljet \
  --restart unless-stopped \
  -p 80:80 \
  --platform linux/amd64 \
  -v tooljet_data:/var/lib/postgresql/13/main \
  tooljet/try:ee-lts-latest

ToolJet is ideal for developers, businesses, and organizations looking to streamline their workflows and build custom tools. With its extensive documentation and community support, it's easy to get started and find help when needed. One-liner takeaway: ToolJet empowers you to build and deploy custom tools and workflows with ease, making it a game-changer for businesses and developers alike. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

15 180

🔥 public-apis/public-apis is trending — and it deserves your attention. 🔗 https://github.com/public-apis/public-apis 📝 A collective list of free APIs ────────────────────────────── The public-apis/public-apis GitHub repository is a treasure trove of public APIs from various domains, manually curated by the community. It provides an extensive list of APIs that can be used for personal projects. The repository is divided into categories such as animals, anime, anti-malware, and more. Each API has its own description, authentication requirements, and HTTPS and CORS support. The repository also includes a contributing guide and a list of issues and pull requests. To get started, simply browse the list of APIs, find one that suits your needs, and start using it. With the public-apis/public-apis repository, you can unlock a world of possibilities and take your projects to the next level: start building today and never stop innovating! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

15 180

📌 Spotted on GitHub Trending: akitaonrails/ai-memory — let's break it down. 🔗 https://github.com/akitaonrails/ai-memory 📝 Solution for long term memory for agent coding CLIs and to facilitate handoff between different agent vendors ────────────────────────────── ai-memory is a tool that gives long-term memory to AI coding agents, allowing them to pick up where they left off, even if they're switched out for a different agent. It does this by creating a shared, persistent wiki compiled from sanitized lifecycle observations. Key features include zero-friction lifecycle capture, opt-in managed workstreams, per-repository capture exclusions, and optional per-operator memory slots. ai-memory supports a wide range of agents, including Claude Code, Codex, Command Code, and more. To use ai-memory, simply run it in the same directory as your agent, and it will take care of the rest. From a technical standpoint, ai-memory uses a git repo to store its wiki, making it easy to grep and backup. This tool is ideal for developers who use multiple AI coding agents and want to streamline their workflow. In short, ai-memory is a game-changer for AI coding agents - it's like having a personal assistant that remembers where you left off, so you can pick up right where you started! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe