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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 13 288 مشتركاً، محتلاً المرتبة 15 339 في فئة التعليم والمرتبة 32 388 في منطقة الهند.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 13 288 مشتركاً.

بحسب آخر البيانات بتاريخ 11 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 383، وفي آخر 24 ساعة بمقدار 5، 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 99 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 12 يونيو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التعليم.

13 288
المشتركون
+524 ساعات
+837 أيام
+38330 أيام
أرشيف المشاركات
🔥 Trending Repository: shannon 📝 Description: Fully autonomous AI hacker to find actual exploits in your web apps. Shannon has achieved a 96.15% success rate on the hint-free, source-aware XBOW Benchmark. 🔗 Repository URL: https://github.com/KeygraphHQ/shannon 🌐 Website: https://keygraph.io/ 📖 Readme: https://github.com/KeygraphHQ/shannon#readme 📊 Statistics: 🌟 Stars: 7.9K stars 👀 Watchers: 63 🍴 Forks: 1.1K forks 💻 Programming Languages: TypeScript - JavaScript - Shell - Dockerfile 🏷️ Related Topics:
#security_audit #penetration_testing #pentesting #security_automation #security_tools
================================== 🧠 By: https://t.me/DataScienceM

If you’re prepping for a data science role, this guide has EVERYTHING you need. Check it out! 💡

Data Science Interview Prep Guide 1️⃣ Core Data Science Concepts • What is Data Science vs Data Analytics vs ML • Descriptive, diagnostic, predictive, prescriptive analytics • Structured vs unstructured data • Data-driven decision making • Business problem framing 2️⃣ Statistics  Probability (Non-Negotiable) • Mean, median, variance, standard deviation • Probability distributions (normal, binomial, Poisson) • Hypothesis testing  p-values • Confidence intervals • Correlation vs causation • Sampling  bias 3️⃣ Data Cleaning  EDA • Handling missing values  outliers • Data normalization  scaling • Feature engineering • Exploratory data analysis (EDA) • Data leakage detection • Data quality validation 4️⃣ Python  SQL for Data Science • Python (NumPy, Pandas) • Data manipulation  transformations • Vectorization  performance optimization • SQL joins, CTEs, window functions • Writing business-ready queries 5️⃣ Machine Learning Essentials • Supervised vs unsupervised learning • Regression vs classification • Model selection  baseline models • Overfitting, underfitting • Bias–variance tradeoff • Hyperparameter tuning 6️⃣ Model Evaluation  Metrics • Accuracy, precision, recall, F1 • ROC  AUC • Confusion matrix • RMSE, MAE, log loss • Metrics for imbalanced data • Linking ML metrics to business KPIs 7️⃣ Real-World  Deployment Knowledge • Feature stores • Model deployment (batch vs real-time) • Model monitoring  drift • Experiment tracking • Data  model versioning • Model explainability (business-friendly) 8️⃣ Must-Have Projects • Customer churn prediction • Fraud detection • Sales or demand forecasting • Recommendation system • End-to-end ML pipeline • Business-focused case study 9️⃣ Common Interview Questions • Walk me through an end-to-end DS project • How do you choose evaluation metrics? • How do you handle imbalanced data? • How do you explain a model to leadership? • How do you improve a failing model? 🔟 Pro Tips ✔️ Always connect answers to business impact  ✔️ Explain why, not just how  ✔️ Be clear about trade-offs  ✔️ Discuss failures  learnings  ✔️ Show structured thinking 

200$ to 20k$ SOL Challenge! As promised, i will do another challenge for those who missed the previous one! Last one we compl
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🔥 Trending Repository: data-engineer-handbook 📝 Description: This is a repo with links to everything you'd ever want to learn about data engineering 🔗 Repository URL: https://github.com/DataExpert-io/data-engineer-handbook 📖 Readme: https://github.com/DataExpert-io/data-engineer-handbook#readme 📊 Statistics: 🌟 Stars: 39.7K stars 👀 Watchers: 466 🍴 Forks: 7.6K forks 💻 Programming Languages: Jupyter Notebook - Python - Makefile - Dockerfile - Shell 🏷️ Related Topics:
#data #awesome #sql #bigdata #dataengineering #apachespark
================================== 🧠 By: https://t.me/DataScienceM

200$ to 20k$ SOL Challenge! As promised, i will do another challenge for those who missed the previous one! Last one we compl
200$ to 20k$ SOL Challenge! As promised, i will do another challenge for those who missed the previous one! Last one we completed in 6 days, let’s do this one even quicker! Join my free group Before closing 👇 https://t.me/+DAKLP7eUy9Y3ZjY0 #ad InsideAds

🔥 Trending Repository: anet 📝 Description: Simple Rust VPN Client / Server 🔗 Repository URL: https://github.com/ZeroTworu/anet 📖 Readme: https://github.com/ZeroTworu/anet#readme 📊 Statistics: 🌟 Stars: 268 stars 👀 Watchers: 15 🍴 Forks: 20 forks 💻 Programming Languages: Rust - Inno Setup - Shell - Makefile 🏷️ Related Topics:
#rust #vpn
================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: prompt-optimizer 📝 Description: 一款提示词优化器,助力于编写高质量的提示词 🔗 Repository URL: https://github.com/linshenkx/prompt-optimizer 🌐 Website: https://prompt.always200.com 📖 Readme: https://github.com/linshenkx/prompt-optimizer#readme 📊 Statistics: 🌟 Stars: 19.2K stars 👀 Watchers: 77 🍴 Forks: 2.4K forks 💻 Programming Languages: TypeScript - Vue - JavaScript - Shell - CSS - Dockerfile 🏷️ Related Topics:
#prompt #prompt_toolkit #prompt_tuning #llm #prompt_engineering #prompt_optimization
================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: fish-shell 📝 Description: The user-friendly command line shell. 🔗 Repository URL: https://github.com/fish-shell/fish-shell 🌐 Website: https://fishshell.com 📖 Readme: https://github.com/fish-shell/fish-shell#readme 📊 Statistics: 🌟 Stars: 32.3K stars 👀 Watchers: 279 🍴 Forks: 2.2K forks 💻 Programming Languages: Rust - Shell - Python - HTML - JavaScript - CMake 🏷️ Related Topics:
#shell #rust #fish #terminal
================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: cognee 📝 Description: Memory for AI Agents in 6 lines of code 🔗 Repository URL: https://github.com/topoteretes/cognee 🌐 Website: https://www.cognee.ai 📖 Readme: https://github.com/topoteretes/cognee#readme 📊 Statistics: 🌟 Stars: 11.7K stars 👀 Watchers: 59 🍴 Forks: 1.2K forks 💻 Programming Languages: Python - TypeScript - Shell - Dockerfile - CSS - Mako 🏷️ Related Topics:
#open_source #ai #knowledge #neo4j #knowledge_graph #openai #help_wanted #graph_database #ai_agents #contributions_welcome #cognitive_architecture #good_first_issue #rag #good_first_pr #vector_database #graph_rag #ai_memory #cognitive_memory #graphrag #context_engineering
================================== 🧠 By: https://t.me/DataScienceM

Data Science Project Ideas 1️⃣ Beginner Friendly Projects • Exploratory Data Analysis (EDA) on CSV datasets • Student Marks Analysis • COVID / Weather Data Analysis • Simple Data Visualization Dashboard • Basic Recommendation System (rule-based) 2️⃣ Python for Data Science • Sales Data Analysis using Pandas • Web Scraping + Analysis (BeautifulSoup) • Data Cleaning  Preprocessing Project • Movie Rating Analysis • Stock Price Analysis (historical data) 3️⃣ Machine Learning Projects • House Price Prediction • Spam Email Classifier • Loan Approval Prediction • Customer Churn Prediction • Iris / Titanic Dataset Classification 4️⃣ Data Visualization Projects • Interactive Dashboard using Matplotlib/Seaborn • Sales Performance Dashboard • Social Media Analytics Dashboard • COVID Trends Visualization • Country-wise GDP Analysis 5️⃣ NLP (Text  Language) Projects • Sentiment Analysis on Reviews • Resume Screening System • Fake News Detection • Chatbot (Rule-based → ML-based) • Topic Modeling on Articles 6️⃣ Advanced ML / AI Projects • Recommendation System (Collaborative Filtering) • Credit Card Fraud Detection • Image Classification (CNN basics) • Face Mask Detection • Speech-to-Text Analysis 7️⃣ Data Engineering / Big Data • ETL Pipeline using Python • Data Warehouse Design (Star Schema) • Log File Analysis • API Data Ingestion Project • Batch Processing with Large Datasets 8️⃣ Real-World / Portfolio Projects • End-to-End Data Science Project • Business Problem → Data → Model → Insights • Kaggle Competition Project • Open Dataset Case Study • Automated Data Reporting Tool

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🔥 Trending Repository: likec4 📝 Description: Visualize, collaborate, and evolve the software architecture with always actual and live diagrams from your code 🔗 Repository URL: https://github.com/likec4/likec4 🌐 Website: https://likec4.dev 📖 Readme: https://github.com/likec4/likec4#readme 📊 Statistics: 🌟 Stars: 1.4K stars 👀 Watchers: 17 🍴 Forks: 117 forks 💻 Programming Languages: TypeScript - MDX - Astro - JavaScript - CSS - Langium 🏷️ Related Topics:
#architecture #diagrams #c4 #architecture_as_code
================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: opentelemetry-collector-contrib 📝 Description: Contrib repository for the OpenTelemetry Collector 🔗 Repository URL: https://github.com/open-telemetry/opentelemetry-collector-contrib 🌐 Website: https://opentelemetry.io 📖 Readme: https://github.com/open-telemetry/opentelemetry-collector-contrib#readme 📊 Statistics: 🌟 Stars: 4.3K stars 👀 Watchers: 62 🍴 Forks: 3.3K forks 💻 Programming Languages: Go - Makefile - Go Template - Shell - Dockerfile - Jinja 🏷️ Related Topics:
#opentelemetry #open_telemetry
================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: anki 📝 Description: Anki is a smart spaced repetition flashcard program 🔗 Repository URL: https://github.com/ankitects/anki 🌐 Website: https://apps.ankiweb.net 📖 Readme: https://github.com/ankitects/anki#readme 📊 Statistics: 🌟 Stars: 26.1K stars 👀 Watchers: 349 🍴 Forks: 2.8K forks 💻 Programming Languages: Rust - Python - Svelte - TypeScript - SCSS - Shell 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: claude-code-hooks-mastery 📝 Description: Master Claude Code Hooks 🔗 Repository URL: https://github.com/disler/claude-code-hooks-mastery 📖 Readme: https://github.com/disler/claude-code-hooks-mastery#readme 📊 Statistics: 🌟 Stars: 2.3K stars 👀 Watchers: 52 🍴 Forks: 498 forks 💻 Programming Languages: Python - TypeScript 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceM

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🔥 Trending Repository: vm0 📝 Description: the easiest way to run natural language-described workflows automatically 🔗 Repository URL: https://github.com/vm0-ai/vm0 🌐 Website: https://vm0.ai 📖 Readme: https://github.com/vm0-ai/vm0#readme 📊 Statistics: 🌟 Stars: 522 stars 👀 Watchers: 1 🍴 Forks: 20 forks 💻 Programming Languages: TypeScript - MDX - Shell - CSS - Rust - JavaScript 🏷️ Related Topics:
#react #cli #typescript #containers #sandbox #cloudflare #codex #dev_tools #ai_agent #ai_runtime #gemini_cli #agentic_workflow #claude_code #context_engineer #ai_sandbox
================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: ccpm 📝 Description: Project management system for Claude Code using GitHub Issues and Git worktrees for parallel agent execution. 🔗 Repository URL: https://github.com/automazeio/ccpm 🌐 Website: https://automaze.io/ccpm 📖 Readme: https://github.com/automazeio/ccpm#readme 📊 Statistics: 🌟 Stars: 6.5K stars 👀 Watchers: 39 🍴 Forks: 684 forks 💻 Programming Languages: Shell - Batchfile 🏷️ Related Topics:
#project_management #ai_agents #claude #ai_coding #vibe_coding #claude_code
================================== 🧠 By: https://t.me/DataScienceM