Github Top Repositories
رفتن به کانال در Telegram
Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.
نمایش بیشتر📈 تحلیل کانال تلگرام Github Top Repositories
کانال Github Top Repositories (@githubre) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 15 253 مشترک است و جایگاه 13 385 را در دسته آموزش و رتبه 25 982 را در منطقه الهند دارد.
📊 شاخص‌های مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 15 253 مشترک جذب کرده است.
بر اساس آخرین داده‌ها در تاریخ 09 نوامبر, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 367 و در ۲۴ ساعت گذشته برابر 21 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 0.89% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 0.61% واکنش نسبت به کل مشترکان کسب می‌کند.
- دسترسی پست‌ها: هر پست به طور میانگین 136 بازدید دریافت می‌کند. در اولین روز معمولاً 93 بازدید جمع‌آوری می‌شود.
- واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 1 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند repository, fork, programming, statistic, description تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاه‌های شخصی توصیف می‌کند:
“Top GitHub repositories in one place 🚀
Explore the best projects in programming, AI, data science, and more.”
به لطف به‌روزرسانی‌های پرتکرار (آخرین داده در تاریخ 10 نوامبر, 2026)، کانال همواره به‌روز و دارای دسترسی بالاست. تحلیل‌ها نشان می‌دهد مخاطبان به‌طور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته آموزش تبدیل کرده‌اند.
15 253
مشترکین
+2124 ساعت
+917 روز
+36730 روز
آرشیو پست ها
15 254
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
15 254
Why Data Science is the Game-Changer for Every Industry 📊
Data science isn’t just a buzzword, it’s the engine behind smarter decisions, predictive insights, and innovative solutions. From healthcare to finance, from e-commerce to education, organizations are harnessing the power of data to:
Spot trends before they happen
Make decisions backed by numbers, not guesses 📈
Automate tasks and improve efficiency ⚙
Deliver personalized experiences for customers 💡
Did you know? Companies that leverage data-driven strategies are 5x more likely to make faster decisions than their competitors.
If you’re curious about how data can transform your career or business, now is the perfect time to dive in. Learning Python, SQL, machine learning, and data visualization are great starting points.
https://t.me/DataScienceM
15 254
🔥 Trending Repository: claude-code-telegram
📝 Description: A powerful Telegram bot that provides remote access to Claude Code, enabling developers to interact with their projects from anywhere with full AI assistance and session persistence.
🔗 Repository URL: https://github.com/RichardAtCT/claude-code-telegram
📖 Readme: https://github.com/RichardAtCT/claude-code-telegram#readme
📊 Statistics:
🌟 Stars: 773 stars
👀 Watchers: 3
🍴 Forks: 118 forks
💻 Programming Languages: Python - Makefile
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.me/DataScienceM
15 254
🔥 Trending Repository: freemocap
📝 Description: Free Motion Capture for Everyone 💀✨
🔗 Repository URL: https://github.com/freemocap/freemocap
🌐 Website: https://freemocap.org
📖 Readme: https://github.com/freemocap/freemocap#readme
📊 Statistics:
🌟 Stars: 4.9K stars
👀 Watchers: 108
🍴 Forks: 405 forks
💻 Programming Languages: Python - Jupyter Notebook - TypeScript - CSS - SCSS - HTML
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.me/DataScienceM
15 254
🔥 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
15 254
Play for Fun - 15 Seconds to Win!
Playw3
Most Popular 2025 Social Gaming Platform, Join Now (no VPN)
Ad. 18+
15 254
Very good $SOL Team launching today at 2PM EST/ 19:00 UTC, make sure you’re not fading! ‼️
Their last 3 launches: 80x - 12M ATH, 35x - 4.2M ATH , 23x - 2M ATH💎
Massive marketing push is lined up right after launch and I’m personally buying 10k DEX boosts to send this🚀
Make sure you join the channel to not miss the launch at 14:00 EST/19:00 UTC🔥
👇👇👇JOIN NOW 👇👇👇
https://t.me/+DAKLP7eUy9Y3ZjY0
https://t.me/+DAKLP7eUy9Y3ZjY0
#ad InsideAds
15 254
Bookmark these sites FOREVER!!!
❯ HTML ➟ learn-html
❯ CSS ➟ css-tricks
❯ JavaScript ➟ javascript .info
❯ Python ➟ realpython
❯ C ➟ learn-c
❯ C++ ➟ fluentcpp
❯ Java ➟ baeldung
❯ SQL ➟ sqlbolt
❯ Go ➟ learn-golang
❯ Kotlin ➟ studytonight
❯ Swift ➟ codewithchris
❯ C# ➟ learncs
❯ PHP ➟ learn-php
❯ DSA ➟ techdevguide .withgoogle
15 254
200$ 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
15 254
🔥 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
15 254
🔥 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
15 254
🔥 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
15 254
🔥 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
15 254
🔥 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
15 254
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.
15 254
15 254
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
15 254
🔥 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
15 254
🔥 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
15 254
🔥 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
