Github Top Repositories

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

📈 Análisis del canal de Telegram Github Top Repositories

El canal Github Top Repositories (@githubre) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 13 278 suscriptores, ocupando la posición 15 356 en la categoría Educación y el puesto 32 458 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 13 278 suscriptores.

Según los últimos datos del 10 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 387, y en las últimas 24 horas de 25, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 1.12%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 0.74% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 148 visualizaciones. En el primer día suele acumular 98 visualizaciones.
Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 1.
Intereses temáticos: El contenido se centra en temas clave como repository, fork, programming, statistic, description.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.”

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 11 junio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Educación.

13 278

Suscriptores

+2524 horas

+867 días

+38730 días

148

Visitas de la publicación

~ 9824 horas

~ 11148 horas

1.12%

Tasa de compromiso

~ 41

Mensajes por día

Ads index

beta

Archivo de publicaciones

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🔥 Trending Repository: open-mercato 📝 Description: AI‑supportive CRM / ERP foundation framework — built to power R&D, new processes, operations, and growth. It’s modular, extensible, and designed for teams that want strong defaults with room to customize everything. Better than Django, Retool and other alternatives - and Enterprise Grade! 🔗 Repository URL: https://github.com/open-mercato/open-mercato 🌐 Website: https://docs.openmercato.com 📖 Readme: https://github.com/open-mercato/open-mercato#readme 📊 Statistics: 🌟 Stars: 524 stars 👀 Watchers: 10 🍴 Forks: 97 forks 💻 Programming Languages: TypeScript - MDX - JavaScript - Python - CSS - Shell 🏷️ Related Topics:

#typescript #erp #crm #crm_platform

================================== 🧠 By: https://t.me/DataScienceM

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Play for Fun - 15 Seconds to Win! Playw3 Most Popular 2025 Social Gaming Platform, Join Now (no VPN) Ad. 18+

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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

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🔥 Trending Repository: convert 📝 Description: Truly universal online file converter 🔗 Repository URL: https://github.com/p2r3/convert 🌐 Website: https://convert.to.it 📖 Readme: https://github.com/p2r3/convert#readme 📊 Statistics: 🌟 Stars: 1.1K stars 👀 Watchers: 8 🍴 Forks: 116 forks 💻 Programming Languages: TypeScript - JavaScript - CSS 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceM

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🔥 Trending Repository: composio 📝 Description: Composio equips your AI agents & LLMs with 100+ high-quality integrations via function calling 🔗 Repository URL: https://github.com/ComposioHQ/composio 🌐 Website: https://docs.composio.dev 📖 Readme: https://github.com/ComposioHQ/composio#readme 📊 Statistics: 🌟 Stars: 26.6K stars 👀 Watchers: 61 🍴 Forks: 4.4K forks 💻 Programming Languages: TypeScript - Python - MDX - Shell - JavaScript - CSS 🏷️ Related Topics:

#javascript #python #typescript #ai #js #mcp #sse #developer_tools #agents #ai_agents #gpt_4 #llm #llmops #function_calling #aiagents #agentic_ai #remote_mcp_server

================================== 🧠 By: https://t.me/DataScienceM

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🔥 Trending Repository: pyrite64 📝 Description: N64 Game-Engine and Editor using libdragon & tiny3d 🔗 Repository URL: https://github.com/HailToDodongo/pyrite64 📖 Readme: https://github.com/HailToDodongo/pyrite64#readme 📊 Statistics: 🌟 Stars: 876 stars 👀 Watchers: 21 🍴 Forks: 33 forks 💻 Programming Languages: C++ - C - Assembly - GLSL - CMake - Shell 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceM

13 286

🔥 Trending Repository: RAG_Techniques 📝 Description: This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses. 🔗 Repository URL: https://github.com/NirDiamant/RAG_Techniques 📖 Readme: https://github.com/NirDiamant/RAG_Techniques#readme 📊 Statistics: 🌟 Stars: 25K stars 👀 Watchers: 243 🍴 Forks: 2.9K forks 💻 Programming Languages: Jupyter Notebook - Python 🏷️ Related Topics:

#python #ai #tutorials #rag #llm #llms #langchain #llama_index #opeani

================================== 🧠 By: https://t.me/DataScienceM

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🔥 Trending Repository: qwen-code 📝 Description: An open-source AI agent that lives in your terminal. 🔗 Repository URL: https://github.com/QwenLM/qwen-code 🌐 Website: https://qwenlm.github.io/qwen-code-docs/en/users/overview 📖 Readme: https://github.com/QwenLM/qwen-code#readme 📊 Statistics: 🌟 Stars: 18.6K stars 👀 Watchers: 107 🍴 Forks: 1.6K forks 💻 Programming Languages: TypeScript - JavaScript - Java - CSS - Python - HTML 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceM

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Roadmap to Master Data Science in 60 Days! 📊🤖 📅 Week 1–2: Python & Data Handling Basics - Day 1–5: Python fundamentals — variables, loops, functions, lists, dictionaries - Day 6–10: NumPy & Pandas — arrays, data cleaning, filtering, data manipulation 📅 Week 3–4: Data Analysis & Visualization - Day 11–15: Data analysis — EDA (Exploratory Data Analysis), statistics basics, data preprocessing - Day 16–20: Data visualization — Matplotlib, Seaborn, charts, dashboards, storytelling with data 📅 Week 5–6: Machine Learning Fundamentals - Day 21–25: ML concepts — supervised vs unsupervised learning, regression, classification - Day 26–30: ML algorithms — Linear Regression, Logistic Regression, Decision Trees, KNN 📅 Week 7–8: Advanced ML & Model Building - Day 31–35: Model evaluation — train/test split, cross-validation, accuracy, precision, recall - Day 36–40: Scikit-learn, feature engineering, model tuning, clustering (K-Means) 📅 Week 9: SQL & Real-World Data Skills - Day 41–45: SQL — SELECT, WHERE, JOIN, GROUP BY, subqueries - Day 46–50: Working with real datasets, Kaggle practice, data pipelines basics 📅 Final Days: Projects + Deployment - Day 51–60: – Build 2–3 projects (sales prediction, customer segmentation, recommendation system) – Create portfolio on GitHub – Learn basics of model deployment (Streamlit/Flask) – Prepare for data science interviews ⭐ Bonus Tip: Focus more on projects than theory — companies hire for practical skills.

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“I missed the last 7309% gain — but not the next one.” Neo CALL’S 💎🛑 just dropped the biggest crypto alpha you’ll see today. Only real players get in early. Don’t wait till it’s too late: Join now and catch the next rocket! 🚀🔥 #ad InsideAds

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Repost from Machine Learning with Python

🔖 An excellent resource for learning about neural networks We're sharing a cool resource for learning about neural networks, offering clear, step-by-step instruction with dynamic visualizations and easy-to-understand explanations. In addition, you'll find many other useful materials on machine learning on the site. Find and use it — https://mlu-explain.github.io/neural-networks/ tags: #AI #ML #PYTHON ➡ @CODEPROGRAMMER

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🔥 Trending Repository: summarize 📝 Description: Point at any URL/YouTube/Podcast or file. Get the gist. CLI and Chrome Extension. 🔗 Repository URL: https://github.com/steipete/summarize 🌐 Website: https://summarize.sh 📖 Readme: https://github.com/steipete/summarize#readme 📊 Statistics: 🌟 Stars: 3.2K stars 👀 Watchers: 14 🍴 Forks: 213 forks 💻 Programming Languages: TypeScript - CSS 🏷️ Related Topics:

#cli #typescript #ai #summarize

================================== 🧠 By: https://t.me/DataScienceM

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🔥 Trending Repository: opencti 📝 Description: Open Cyber Threat Intelligence Platform 🔗 Repository URL: https://github.com/OpenCTI-Platform/opencti 🌐 Website: https://opencti.io 📖 Readme: https://github.com/OpenCTI-Platform/opencti#readme 📊 Statistics: 🌟 Stars: 8.2K stars 👀 Watchers: 147 🍴 Forks: 1.2K forks 💻 Programming Languages: TypeScript - JavaScript - Python - HTML - CSS - Shell 🏷️ Related Topics:

#security #intelligence #osint #cybersecurity #cti #cyber #threat_intelligence

================================== 🧠 By: https://t.me/DataScienceM

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🔥 Trending Repository: hummingbot 📝 Description: Open source software that helps you create and deploy high-frequency crypto trading bots 🔗 Repository URL: https://github.com/hummingbot/hummingbot 🌐 Website: https://hummingbot.org 📖 Readme: https://github.com/hummingbot/hummingbot#readme 📊 Statistics: 🌟 Stars: 16.2K stars 👀 Watchers: 188 🍴 Forks: 4.4K forks 💻 Programming Languages: Python - Cython - C++ - Shell - Makefile - Dockerfile 🏷️ Related Topics:

#python #bot #docker #crypto #bitcoin #trading #cython #ethereum #cryptocurrency #algotrading #hft #arbitrage #dex #orderbook #backtesting #marketmaking

================================== 🧠 By: https://t.me/DataScienceM

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🔥 Trending Repository: seerr 📝 Description: Open-source media request and discovery manager for Jellyfin, Plex, and Emby. 🔗 Repository URL: https://github.com/seerr-team/seerr 🌐 Website: https://docs.seerr.dev 📖 Readme: https://github.com/seerr-team/seerr#readme 📊 Statistics: 🌟 Stars: 8.9K stars 👀 Watchers: 39 🍴 Forks: 592 forks 💻 Programming Languages: TypeScript - JavaScript - CSS - Pug - Go Template - HTML 🏷️ Related Topics:

#notifications #docker #nzb #movie #sonarr #plex #tv #emby #radarr #jellyfin

================================== 🧠 By: https://t.me/DataScienceM

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🔥 Trending Repository: claude-pilot 📝 Description: Claude Code is powerful. Pilot makes it reliable. Start a task, grab a coffee, come back to production-grade code. Tests enforced. Context preserved. Quality automated. 🔗 Repository URL: https://github.com/maxritter/claude-pilot 🌐 Website: https://claude-pilot.com 📖 Readme: https://github.com/maxritter/claude-pilot#readme 📊 Statistics: 🌟 Stars: 1.1K stars 👀 Watchers: 17 🍴 Forks: 84 forks 💻 Programming Languages: TypeScript - Python - JavaScript - Shell - HTML - CSS 🏷️ Related Topics:

#mcp #software_engineering #ai_agents #claude #ai_engineering #ai_assistant #ai_tools #anthropic #claude_ai #anthropic_claude #ai_coding_tools #ai_coding #model_context_protocol #claude_code #claudecode #spec_driven_development #claude_skills #claude_context #claude_mem

================================== 🧠 By: https://t.me/DataScienceM

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🔥 Trending Repository: brave-browser 📝 Description: Brave browser for Android, iOS, Linux, macOS, Windows. 🔗 Repository URL: https://github.com/brave/brave-browser 🌐 Website: https://brave.com 📖 Readme: https://github.com/brave/brave-browser#readme 📊 Statistics: 🌟 Stars: 21.5K stars 👀 Watchers: 388 🍴 Forks: 3K forks 💻 Programming Languages: Not available 🏷️ Related Topics:

#windows #macos #linux #browser #chromium #brave

================================== 🧠 By: https://t.me/DataScienceM