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Github Top Repositories

Github Top Repositories

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

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πŸ“ˆ Analytical overview of Telegram channel Github Top Repositories

Channel Github Top Repositories (@githubre) in the English language segment is an active participant. Currently, the community unites 13 288 subscribers, ranking 15 339 in the Education category and 32 388 in the India region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 13 288 subscribers.

According to the latest data from 11 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 383 over the last 30 days and by 5 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 1.11%. Within the first 24 hours after publication, content typically collects 0.75% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 148 views. Within the first day, a publication typically gains 99 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 1.
  • Thematic interests: Content is focused on key topics such as repository, fork, programming, statistic, description.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œTop GitHub repositories in one place πŸš€ Explore the best projects in programming, AI, data science, and more.”

Thanks to the high frequency of updates (latest data received on 12 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.

13 288
Subscribers
+524 hours
+837 days
+38330 days
Posts Archive
πŸ”₯ Trending Repository: shannon πŸ“ 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. πŸ”— Repository URL: https://github.com/KeygraphHQ/shannon 🌐 Website: https://keygraph.io/ πŸ“– Readme: https://github.com/KeygraphHQ/shannon#readme πŸ“Š Statistics: 🌟 Stars: 7.9K stars πŸ‘€ Watchers: 63 🍴 Forks: 1.1K forks πŸ’» 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! πŸ’‘

Data Science Interview Prep Guide 1️⃣ Core Data Science Concepts β€’ What is Data Science vs Data Analytics vs ML β€’ Descriptive, diagnostic, predictive, prescriptive analytics β€’ Structured vs unstructured data β€’ Data-driven decision making β€’ Business problem framing 2️⃣ Statistics  Probability (Non-Negotiable) β€’ Mean, median, variance, standard deviation β€’ Probability distributions (normal, binomial, Poisson) β€’ Hypothesis testing  p-values β€’ Confidence intervals β€’ Correlation vs causation β€’ Sampling  bias 3️⃣ Data Cleaning  EDA β€’ Handling missing values  outliers β€’ Data normalization  scaling β€’ Feature engineering β€’ Exploratory data analysis (EDA) β€’ Data leakage detection β€’ Data quality validation 4️⃣ Python  SQL for Data Science β€’ Python (NumPy, Pandas) β€’ Data manipulation  transformations β€’ Vectorization  performance optimization β€’ SQL joins, CTEs, window functions β€’ Writing business-ready queries 5️⃣ Machine Learning Essentials β€’ Supervised vs unsupervised learning β€’ Regression vs classification β€’ Model selection  baseline models β€’ Overfitting, underfitting β€’ Bias–variance tradeoff β€’ Hyperparameter tuning 6️⃣ Model Evaluation  Metrics β€’ Accuracy, precision, recall, F1 β€’ ROC  AUC β€’ Confusion matrix β€’ RMSE, MAE, log loss β€’ Metrics for imbalanced data β€’ Linking ML metrics to business KPIs 7️⃣ Real-World  Deployment Knowledge β€’ Feature stores β€’ Model deployment (batch vs real-time) β€’ Model monitoring  drift β€’ Experiment tracking β€’ Data  model versioning β€’ Model explainability (business-friendly) 8️⃣ Must-Have Projects β€’ Customer churn prediction β€’ Fraud detection β€’ Sales or demand forecasting β€’ Recommendation system β€’ End-to-end ML pipeline β€’ Business-focused case study 9️⃣ Common Interview Questions β€’ Walk me through an end-to-end DS project β€’ How do you choose evaluation metrics? β€’ How do you handle imbalanced data? β€’ How do you explain a model to leadership? β€’ How do you improve a failing model? πŸ”Ÿ Pro Tips βœ”οΈ Always connect answers to business impact  βœ”οΈ Explain why, not just how  βœ”οΈ Be clear about trade-offs  βœ”οΈ Discuss failures  learnings  βœ”οΈ 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 πŸ‘‡ https://t.me/+DAKLP7eUy9Y3ZjY0 #ad InsideAds

πŸ”₯ Trending Repository: data-engineer-handbook πŸ“ Description: This is a repo with links to everything you'd ever want to learn about data engineering πŸ”— Repository URL: https://github.com/DataExpert-io/data-engineer-handbook πŸ“– Readme: https://github.com/DataExpert-io/data-engineer-handbook#readme πŸ“Š Statistics: 🌟 Stars: 39.7K stars πŸ‘€ Watchers: 466 🍴 Forks: 7.6K forks πŸ’» 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 πŸ‘‡ https://t.me/+DAKLP7eUy9Y3ZjY0 #ad InsideAds

πŸ”₯ Trending Repository: anet πŸ“ Description: Simple Rust VPN Client / Server πŸ”— Repository URL: https://github.com/ZeroTworu/anet πŸ“– Readme: https://github.com/ZeroTworu/anet#readme πŸ“Š Statistics: 🌟 Stars: 268 stars πŸ‘€ Watchers: 15 🍴 Forks: 20 forks πŸ’» Programming Languages: Rust - Inno Setup - Shell - Makefile 🏷️ Related Topics:
#rust #vpn
================================== 🧠 By: https://t.me/DataScienceM

πŸ”₯ Trending Repository: prompt-optimizer πŸ“ Description: δΈ€ζ¬Ύζη€Ίθ―δΌ˜εŒ–ε™¨οΌŒεŠ©εŠ›δΊŽηΌ–ε†™ι«˜θ΄¨ι‡ηš„ζη€Ίθ― πŸ”— Repository URL: https://github.com/linshenkx/prompt-optimizer 🌐 Website: https://prompt.always200.com πŸ“– Readme: https://github.com/linshenkx/prompt-optimizer#readme πŸ“Š Statistics: 🌟 Stars: 19.2K stars πŸ‘€ Watchers: 77 🍴 Forks: 2.4K forks πŸ’» 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

πŸ”₯ Trending Repository: fish-shell πŸ“ Description: The user-friendly command line shell. πŸ”— Repository URL: https://github.com/fish-shell/fish-shell 🌐 Website: https://fishshell.com πŸ“– Readme: https://github.com/fish-shell/fish-shell#readme πŸ“Š Statistics: 🌟 Stars: 32.3K stars πŸ‘€ Watchers: 279 🍴 Forks: 2.2K forks πŸ’» Programming Languages: Rust - Shell - Python - HTML - JavaScript - CMake 🏷️ Related Topics:
#shell #rust #fish #terminal
================================== 🧠 By: https://t.me/DataScienceM

πŸ”₯ Trending Repository: cognee πŸ“ Description: Memory for AI Agents in 6 lines of code πŸ”— Repository URL: https://github.com/topoteretes/cognee 🌐 Website: https://www.cognee.ai πŸ“– Readme: https://github.com/topoteretes/cognee#readme πŸ“Š Statistics: 🌟 Stars: 11.7K stars πŸ‘€ Watchers: 59 🍴 Forks: 1.2K forks πŸ’» 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

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

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πŸ”₯ Trending Repository: likec4 πŸ“ Description: Visualize, collaborate, and evolve the software architecture with always actual and live diagrams from your code πŸ”— Repository URL: https://github.com/likec4/likec4 🌐 Website: https://likec4.dev πŸ“– Readme: https://github.com/likec4/likec4#readme πŸ“Š Statistics: 🌟 Stars: 1.4K stars πŸ‘€ Watchers: 17 🍴 Forks: 117 forks πŸ’» Programming Languages: TypeScript - MDX - Astro - JavaScript - CSS - Langium 🏷️ Related Topics:
#architecture #diagrams #c4 #architecture_as_code
================================== 🧠 By: https://t.me/DataScienceM

πŸ”₯ Trending Repository: opentelemetry-collector-contrib πŸ“ Description: Contrib repository for the OpenTelemetry Collector πŸ”— Repository URL: https://github.com/open-telemetry/opentelemetry-collector-contrib 🌐 Website: https://opentelemetry.io πŸ“– Readme: https://github.com/open-telemetry/opentelemetry-collector-contrib#readme πŸ“Š Statistics: 🌟 Stars: 4.3K stars πŸ‘€ Watchers: 62 🍴 Forks: 3.3K forks πŸ’» Programming Languages: Go - Makefile - Go Template - Shell - Dockerfile - Jinja 🏷️ Related Topics:
#opentelemetry #open_telemetry
================================== 🧠 By: https://t.me/DataScienceM

πŸ”₯ Trending Repository: anki πŸ“ Description: Anki is a smart spaced repetition flashcard program πŸ”— Repository URL: https://github.com/ankitects/anki 🌐 Website: https://apps.ankiweb.net πŸ“– Readme: https://github.com/ankitects/anki#readme πŸ“Š Statistics: 🌟 Stars: 26.1K stars πŸ‘€ Watchers: 349 🍴 Forks: 2.8K forks πŸ’» Programming Languages: Rust - Python - Svelte - TypeScript - SCSS - Shell 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceM

πŸ”₯ Trending Repository: claude-code-hooks-mastery πŸ“ Description: Master Claude Code Hooks πŸ”— Repository URL: https://github.com/disler/claude-code-hooks-mastery πŸ“– Readme: https://github.com/disler/claude-code-hooks-mastery#readme πŸ“Š Statistics: 🌟 Stars: 2.3K stars πŸ‘€ Watchers: 52 🍴 Forks: 498 forks πŸ’» Programming Languages: Python - TypeScript 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceM

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πŸ”₯ Trending Repository: vm0 πŸ“ Description: the easiest way to run natural language-described workflows automatically πŸ”— Repository URL: https://github.com/vm0-ai/vm0 🌐 Website: https://vm0.ai πŸ“– Readme: https://github.com/vm0-ai/vm0#readme πŸ“Š Statistics: 🌟 Stars: 522 stars πŸ‘€ Watchers: 1 🍴 Forks: 20 forks πŸ’» 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

πŸ”₯ Trending Repository: ccpm πŸ“ Description: Project management system for Claude Code using GitHub Issues and Git worktrees for parallel agent execution. πŸ”— Repository URL: https://github.com/automazeio/ccpm 🌐 Website: https://automaze.io/ccpm πŸ“– Readme: https://github.com/automazeio/ccpm#readme πŸ“Š Statistics: 🌟 Stars: 6.5K stars πŸ‘€ Watchers: 39 🍴 Forks: 684 forks πŸ’» 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 - Statistics & analytics of Telegram channel @githubre