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Github Top Repositories

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

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📈 Аналітичний огляд Telegram-каналу Github Top Repositories

Канал Github Top Repositories (@githubre) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 13 278 підписників, посідаючи 15 356 місце в категорії Освіта та 32 458 місце у регіоні Індія.

📊 Показники аудиторії та динаміка

З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 13 278 підписників.

За останніми даними від 10 червня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 387, а за останні 24 години на 25, загальне охоплення залишається високим.

  • Статус верифікації: Не верифікований
  • Рівень залученості (ER): Середній показник залученості аудиторії становить 1.12%. Протягом перших 24 годин після публікації контент зазвичай збирає 0.74% реакцій від загальної кількості підписників.
  • Охоплення публікацій: В середньому кожен допис отримує 148 переглядів. Протягом першої доби публікація в середньому набирає 98 переглядів.
  • Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 1.
  • Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як repository, fork, programming, statistic, description.

📝 Опис та контентна політика

Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.

Завдяки високій частоті оновлень (останні дані отримано 11 червня, 2026), канал підтримує актуальність та високий рівень охоплення публікацій. Аналітика показує, що аудиторія активно взаємодіє з контентом, що робить його важливою точкою впливу в категорії Освіта.

13 278
Підписники
+2524 години
+867 днів
+38730 день
Архів дописів
🔥 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 

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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

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🔥 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