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 15 274 مشترک است و جایگاه 13 395 را در دسته آموزش و رتبه 25 969 را در منطقه الهند دارد.
📊 شاخص‌های مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 15 274 مشترک جذب کرده است.
بر اساس آخرین داده‌ها در تاریخ 11 نوامبر, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 339 و در ۲۴ ساعت گذشته برابر 9 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 0.88% 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 134 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 12 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.
15 274
مشترکین
+924 ساعت
+587 روز
+33930 روز
آرشیو پست ها
15 275
🔥 Trending Repository: kubernetes
📝 Description: Production-Grade Container Scheduling and Management
🔗 Repository URL: https://github.com/kubernetes/kubernetes
🌐 Website: https://kubernetes.io
📖 Readme: https://github.com/kubernetes/kubernetes#readme
📊 Statistics:
🌟 Stars: 119K stars
👀 Watchers: 3.2k
🍴 Forks: 41.8K forks
💻 Programming Languages: Go - Shell - PowerShell - Makefile - Dockerfile - Python
🏷️ Related Topics:
#go #kubernetes #containers #cncf================================== 🧠 By: https://t.me/DataScienceM
15 275
🔥 Trending Repository: ML-For-Beginners
📝 Description: 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
🔗 Repository URL: https://github.com/microsoft/ML-For-Beginners
📖 Readme: https://github.com/microsoft/ML-For-Beginners#readme
📊 Statistics:
🌟 Stars: 79.6K stars
👀 Watchers: 1.1k
🍴 Forks: 18.5K forks
💻 Programming Languages: Jupyter Notebook - HTML - Python - Vue - JavaScript - Dockerfile
🏷️ Related Topics:
#python #education #data_science #machine_learning #r #scikit_learn #machine_learning_algorithms #ml #machinelearning #machinelearning_python #scikit_learn_python #microsoft_for_beginners================================== 🧠 By: https://t.me/DataScienceM
15 275
🔥 Trending Repository: social-engineer-toolkit
📝 Description: The Social-Engineer Toolkit (SET) repository from TrustedSec - All new versions of SET will be deployed here.
🔗 Repository URL: https://github.com/trustedsec/social-engineer-toolkit
📖 Readme: https://github.com/trustedsec/social-engineer-toolkit#readme
📊 Statistics:
🌟 Stars: 13K stars
👀 Watchers: 645
🍴 Forks: 3.1K forks
💻 Programming Languages: Python - C++ - Shell - C - Java - CSS
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.me/DataScienceM
15 275
🔥 Trending Repository: Foundations-of-LLMs
📝 Description: No description available
🔗 Repository URL: https://github.com/ZJU-LLMs/Foundations-of-LLMs
📖 Readme: https://github.com/ZJU-LLMs/Foundations-of-LLMs#readme
📊 Statistics:
🌟 Stars: 13K stars
👀 Watchers: 157
🍴 Forks: 1.2K forks
💻 Programming Languages: Not available
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.me/DataScienceM
15 275
🔥 Trending Repository: next-ai-draw-io
📝 Description: A next.js web application that integrates AI capabilities with draw.io diagrams. This app allows you to create, modify, and enhance diagrams through natural language commands and AI-assisted visualization.
🔗 Repository URL: https://github.com/DayuanJiang/next-ai-draw-io
🌐 Website: https://next-ai-drawio.jiang.jp/
📖 Readme: https://github.com/DayuanJiang/next-ai-draw-io#readme
📊 Statistics:
🌟 Stars: 3K stars
👀 Watchers: 17
🍴 Forks: 375 forks
💻 Programming Languages: TypeScript - CSS
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.me/DataScienceM
15 275
🔥 Trending Repository: fizzy
📝 Description: Kanban as it should be. Not as it has been.
🔗 Repository URL: https://github.com/basecamp/fizzy
🌐 Website: https://fizzy.do
📖 Readme: https://github.com/basecamp/fizzy#readme
📊 Statistics:
🌟 Stars: 2.4K stars
👀 Watchers: 27
🍴 Forks: 299 forks
💻 Programming Languages: Ruby - HTML - CSS - JavaScript
🏷️ Related Topics:
#ruby #rails #kanban #hotwire================================== 🧠 By: https://t.me/DataScienceM
15 275
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15 275
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15 275
🔥 Trending Repository: Memori
📝 Description: Open-Source Memory Engine for LLMs, AI Agents & Multi-Agent Systems
🔗 Repository URL: https://github.com/MemoriLabs/Memori
🌐 Website: https://memorilabs.ai
📖 Readme: https://github.com/MemoriLabs/Memori#readme
📊 Statistics:
🌟 Stars: 8.8K stars
👀 Watchers: 46
🍴 Forks: 629 forks
💻 Programming Languages: Python - PLpgSQL
🏷️ Related Topics:
#python #agent #awesome #state_management #ai #memory #memory_management #hacktoberfest #long_short_term_memory #rag #llm #memori_ai #hacktoberfest2025 #chatgpt #aiagent================================== 🧠 By: https://t.me/DataScienceM
15 275
+2
A new Python library for agent-based data-processing and ETL using AI has been released.
Introducing DocETL.
What is important to know:
1. What is DocETL?
It is a tool for creating and running data pipelines, especially well-suited for complex document processing.
It includes:
- interactive UI playground
- Python package for running pipelines in production
2. DocWrangler
DocWrangler helps gradually build the pipeline:
- trying different prompts and viewing results in real-time
- building the pipeline step by step
- exporting the final configuration for production
3. Python package DocETL
It is used for running pipelines in production. In the example, a pipeline is created that analyzes medical transcripts, identifies drug names, normalizes similar names, and generates summaries of side effects and areas of application.
More information: https://github.com/ucbepic/docetl
👉 https://t.me/DataScienceN
15 275
👨💻 Wren AI
🛠 Wren AI is an AI agent that allows users to request data in natural language and receive accurate SQL queries, charts, and analytical reports within seconds.
🔰 It provides capabilities for data interaction, insight generation, and includes a semantic layer that ensures the accuracy of conclusions.
🔰 API integration enables the creation of custom agents and chatbots.
🌟 The platform supports multiple databases and is compatible with various LLM models.
🔗 Links:
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🖤Tags: #ai #agents #sql #llm
15 275
How did I start earning money while I sleep—without trading, analysis, or risk?
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15 275
🌆 RMBG
🛠️ RMBG is a new AI background removal model that significantly outperforms its counterparts.
🔰 It effectively separates the foreground and background for various types of images, providing high accuracy and commercial applicability.
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🏷️Tags:
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15 275
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15 275
If you love automating everything, this is for you
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👉 https://t.me/DataScienceN
15 275
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15 275
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