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Github Top Repositories

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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📈 Telegram 频道 Github Top Repositories 的分析概览

频道 Github Top Repositories (@githubre) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 13 288 名订阅者,在 教育 类别中位列第 15 339,并在 印度 地区排名第 32 388

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 13 288 名订阅者。

根据 11 六月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 383,过去 24 小时变化为 5,整体触达仍然可观。

  • 认证状态: 未认证
  • 互动率 (ER): 平均受众互动率为 1.11%。内容发布后 24 小时内通常能获得 0.75% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 148 次浏览,首日通常累积 99 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 1
  • 主题关注点: 内容集中在 repository, fork, programming, statistic, description 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台:
Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.

凭借高频更新(最新数据采集于 12 六月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 教育 类别中的关键影响点。

13 288
订阅者
+524 小时
+837
+38330
帖子存档
🔥 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
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: 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

Github Top Repositories - Telegram 频道 @githubre 的统计与分析