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Github Top Repositories

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 13 301 مشتركاً، محتلاً المرتبة 15 322 في فئة التعليم والمرتبة 32 330 في منطقة الهند.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 13 301 مشتركاً.

بحسب آخر البيانات بتاريخ 12 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 393، وفي آخر 24 ساعة بمقدار 17، مع بقاء الوصول العام مرتفعاً.

  • حالة التحقق: غير موثّقة
  • معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 1.11‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 0.75‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
  • وصول المنشورات: يحصل كل منشور على متوسط 148 مشاهدة. وخلال اليوم الأول يجمع عادةً 100 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 13 يونيو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التعليم.

13 301
المشتركون
+1724 ساعات
+827 أيام
+39330 أيام
أرشيف المشاركات

🔥 Trending Repository: agents 📝 Description: Intelligent automation and multi-agent orchestration for Claude Code 🔗 Repository URL: https://github.com/wshobson/agents 🌐 Website: https://sethhobson.com 📖 Readme: https://github.com/wshobson/agents#readme 📊 Statistics: 🌟 Stars: 21.9K stars 👀 Watchers: 249 🍴 Forks: 2.5K forks 💻 Programming Languages: Python - Shell 🏷️ Related Topics:
#automation #orchestration #workflows #agents #ai_agents #claude #anthropic #anthropic_claude #claude_code #claudecode #subagents #sub_agents #claudecode_subagents #claudecode_config #claude_code_subagents #claude_code_commands #claude_code_cli #claude_code_plugin #claude_code_plugins #claude_skills
================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: lynx 📝 Description: Empower the Web community and invite more to build across platforms. 🔗 Repository URL: https://github.com/lynx-family/lynx 🌐 Website: https://lynxjs.org 📖 Readme: https://github.com/lynx-family/lynx#readme 📊 Statistics: 🌟 Stars: 13.6K stars 👀 Watchers: 78 🍴 Forks: 472 forks 💻 Programming Languages: C++ - Java - Objective-C - Objective-C++ - Python - TypeScript 🏷️ Related Topics:
#cross_platform
================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: kubernetes 📝 Description: Production-Grade Container Scheduling and Management 🔗 Repository URL: https://github.com/kubernetes/kubernetes 🌐 Website: https://kubernetes.io 📖 Readme: https://github.com/kubernetes/kubernetes#readme 📊 Statistics: 🌟 Stars: 119K stars 👀 Watchers: 3.2k 🍴 Forks: 41.8K forks 💻 Programming Languages: Go - Shell - PowerShell - Makefile - Dockerfile - Python 🏷️ Related Topics:
#go #kubernetes #containers #cncf
================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: ML-For-Beginners 📝 Description: 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all 🔗 Repository URL: https://github.com/microsoft/ML-For-Beginners 📖 Readme: https://github.com/microsoft/ML-For-Beginners#readme 📊 Statistics: 🌟 Stars: 79.6K stars 👀 Watchers: 1.1k 🍴 Forks: 18.5K forks 💻 Programming Languages: Jupyter Notebook - HTML - Python - Vue - JavaScript - Dockerfile 🏷️ Related Topics:
#python #education #data_science #machine_learning #r #scikit_learn #machine_learning_algorithms #ml #machinelearning #machinelearning_python #scikit_learn_python #microsoft_for_beginners
================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: social-engineer-toolkit 📝 Description: The Social-Engineer Toolkit (SET) repository from TrustedSec - All new versions of SET will be deployed here. 🔗 Repository URL: https://github.com/trustedsec/social-engineer-toolkit 📖 Readme: https://github.com/trustedsec/social-engineer-toolkit#readme 📊 Statistics: 🌟 Stars: 13K stars 👀 Watchers: 645 🍴 Forks: 3.1K forks 💻 Programming Languages: Python - C++ - Shell - C - Java - CSS 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: Foundations-of-LLMs 📝 Description: No description available 🔗 Repository URL: https://github.com/ZJU-LLMs/Foundations-of-LLMs 📖 Readme: https://github.com/ZJU-LLMs/Foundations-of-LLMs#readme 📊 Statistics: 🌟 Stars: 13K stars 👀 Watchers: 157 🍴 Forks: 1.2K forks 💻 Programming Languages: Not available 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: next-ai-draw-io 📝 Description: A next.js web application that integrates AI capabilities with draw.io diagrams. This app allows you to create, modify, and enhance diagrams through natural language commands and AI-assisted visualization. 🔗 Repository URL: https://github.com/DayuanJiang/next-ai-draw-io 🌐 Website: https://next-ai-drawio.jiang.jp/ 📖 Readme: https://github.com/DayuanJiang/next-ai-draw-io#readme 📊 Statistics: 🌟 Stars: 3K stars 👀 Watchers: 17 🍴 Forks: 375 forks 💻 Programming Languages: TypeScript - CSS 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: fizzy 📝 Description: Kanban as it should be. Not as it has been. 🔗 Repository URL: https://github.com/basecamp/fizzy 🌐 Website: https://fizzy.do 📖 Readme: https://github.com/basecamp/fizzy#readme 📊 Statistics: 🌟 Stars: 2.4K stars 👀 Watchers: 27 🍴 Forks: 299 forks 💻 Programming Languages: Ruby - HTML - CSS - JavaScript 🏷️ Related Topics:
#ruby #rails #kanban #hotwire
================================== 🧠 By: https://t.me/DataScienceM

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🔥 Trending Repository: Memori 📝 Description: Open-Source Memory Engine for LLMs, AI Agents & Multi-Agent Systems 🔗 Repository URL: https://github.com/MemoriLabs/Memori 🌐 Website: https://memorilabs.ai 📖 Readme: https://github.com/MemoriLabs/Memori#readme 📊 Statistics: 🌟 Stars: 8.8K stars 👀 Watchers: 46 🍴 Forks: 629 forks 💻 Programming Languages: Python - PLpgSQL 🏷️ Related Topics:
#python #agent #awesome #state_management #ai #memory #memory_management #hacktoberfest #long_short_term_memory #rag #llm #memori_ai #hacktoberfest2025 #chatgpt #aiagent
================================== 🧠 By: https://t.me/DataScienceM

A new Python library for agent-based data-processing and ETL using AI has been released. Introducing DocETL. What is importan
+2
A new Python library for agent-based data-processing and ETL using AI has been released. Introducing DocETL. What is important to know: 1. What is DocETL? It is a tool for creating and running data pipelines, especially well-suited for complex document processing. It includes: - interactive UI playground - Python package for running pipelines in production 2. DocWrangler DocWrangler helps gradually build the pipeline: - trying different prompts and viewing results in real-time - building the pipeline step by step - exporting the final configuration for production 3. Python package DocETL It is used for running pipelines in production. In the example, a pipeline is created that analyzes medical transcripts, identifies drug names, normalizes similar names, and generates summaries of side effects and areas of application. More information: https://github.com/ucbepic/docetl 👉 https://t.me/DataScienceN

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If you love automating everything, this is for you AutoPilot is an open-source panel built with #Python + #Streamlit, packed with a whole arsenal of useful automations. Open it, and you have tools at your fingertips like background removal for photos, QR code generation, YouTube downloading, fake data creation, audiobooks, email sending, code analysis, image editing, and even a news reader. One window instead of a dozen services. 🙂 https://github.com/Ai-Quill/automated 👉 https://t.me/DataScienceN