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Github Top Repositories
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Top GitHub repositories in one place π Explore the best projects in programming, AI, data science, and more.
Show moreπ 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 13 301 subscribers, ranking 15 322 in the Education category and 32 330 in the India region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 13 301 subscribers.
According to the latest data from 12 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 393 over the last 30 days and by 17 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 100 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.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βTop GitHub repositories in one place π
Explore the best projects in programming, AI, data science, and more.β
Thanks to the high frequency of updates (latest data received on 13 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.
13 301
Subscribers
+1724 hours
+827 days
+39330 days
Posts Archive
13 301
π₯ Trending Repository: agents
π Description: Intelligent automation and multi-agent orchestration for Claude Code
π Repository URL: https://github.com/wshobson/agents
π Website: https://sethhobson.com
π Readme: https://github.com/wshobson/agents#readme
π Statistics:
π Stars: 21.9K stars
π Watchers: 249
π΄ Forks: 2.5K forks
π» Programming Languages: Python - Shell
π·οΈ Related Topics:
#automation #orchestration #workflows #agents #ai_agents #claude #anthropic #anthropic_claude #claude_code #claudecode #subagents #sub_agents #claudecode_subagents #claudecode_config #claude_code_subagents #claude_code_commands #claude_code_cli #claude_code_plugin #claude_code_plugins #claude_skills================================== π§ By: https://t.me/DataScienceM
13 301
π₯ Trending Repository: lynx
π Description: Empower the Web community and invite more to build across platforms.
π Repository URL: https://github.com/lynx-family/lynx
π Website: https://lynxjs.org
π Readme: https://github.com/lynx-family/lynx#readme
π Statistics:
π Stars: 13.6K stars
π Watchers: 78
π΄ Forks: 472 forks
π» Programming Languages: C++ - Java - Objective-C - Objective-C++ - Python - TypeScript
π·οΈ Related Topics:
#cross_platform================================== π§ By: https://t.me/DataScienceM
13 301
π₯ Trending Repository: kubernetes
π Description: Production-Grade Container Scheduling and Management
π Repository URL: https://github.com/kubernetes/kubernetes
π Website: https://kubernetes.io
π Readme: https://github.com/kubernetes/kubernetes#readme
π Statistics:
π Stars: 119K stars
π Watchers: 3.2k
π΄ Forks: 41.8K forks
π» Programming Languages: Go - Shell - PowerShell - Makefile - Dockerfile - Python
π·οΈ Related Topics:
#go #kubernetes #containers #cncf================================== π§ By: https://t.me/DataScienceM
13 301
π₯ Trending Repository: ML-For-Beginners
π Description: 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
π Repository URL: https://github.com/microsoft/ML-For-Beginners
π Readme: https://github.com/microsoft/ML-For-Beginners#readme
π Statistics:
π Stars: 79.6K stars
π Watchers: 1.1k
π΄ Forks: 18.5K forks
π» Programming Languages: Jupyter Notebook - HTML - Python - Vue - JavaScript - Dockerfile
π·οΈ Related Topics:
#python #education #data_science #machine_learning #r #scikit_learn #machine_learning_algorithms #ml #machinelearning #machinelearning_python #scikit_learn_python #microsoft_for_beginners================================== π§ By: https://t.me/DataScienceM
13 301
π₯ Trending Repository: social-engineer-toolkit
π Description: The Social-Engineer Toolkit (SET) repository from TrustedSec - All new versions of SET will be deployed here.
π Repository URL: https://github.com/trustedsec/social-engineer-toolkit
π Readme: https://github.com/trustedsec/social-engineer-toolkit#readme
π Statistics:
π Stars: 13K stars
π Watchers: 645
π΄ Forks: 3.1K forks
π» Programming Languages: Python - C++ - Shell - C - Java - CSS
π·οΈ Related Topics: Not available
==================================
π§ By: https://t.me/DataScienceM
13 301
π₯ Trending Repository: Foundations-of-LLMs
π Description: No description available
π Repository URL: https://github.com/ZJU-LLMs/Foundations-of-LLMs
π Readme: https://github.com/ZJU-LLMs/Foundations-of-LLMs#readme
π Statistics:
π Stars: 13K stars
π Watchers: 157
π΄ Forks: 1.2K forks
π» Programming Languages: Not available
π·οΈ Related Topics: Not available
==================================
π§ By: https://t.me/DataScienceM
13 301
π₯ Trending Repository: next-ai-draw-io
π 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.
π Repository URL: https://github.com/DayuanJiang/next-ai-draw-io
π Website: https://next-ai-drawio.jiang.jp/
π Readme: https://github.com/DayuanJiang/next-ai-draw-io#readme
π Statistics:
π Stars: 3K stars
π Watchers: 17
π΄ Forks: 375 forks
π» Programming Languages: TypeScript - CSS
π·οΈ Related Topics: Not available
==================================
π§ By: https://t.me/DataScienceM
13 301
π₯ Trending Repository: fizzy
π Description: Kanban as it should be. Not as it has been.
π Repository URL: https://github.com/basecamp/fizzy
π Website: https://fizzy.do
π Readme: https://github.com/basecamp/fizzy#readme
π Statistics:
π Stars: 2.4K stars
π Watchers: 27
π΄ Forks: 299 forks
π» Programming Languages: Ruby - HTML - CSS - JavaScript
π·οΈ Related Topics:
#ruby #rails #kanban #hotwire================================== π§ By: https://t.me/DataScienceM
13 301
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13 301
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13 301
π₯ Trending Repository: Memori
π Description: Open-Source Memory Engine for LLMs, AI Agents & Multi-Agent Systems
π Repository URL: https://github.com/MemoriLabs/Memori
π Website: https://memorilabs.ai
π Readme: https://github.com/MemoriLabs/Memori#readme
π Statistics:
π Stars: 8.8K stars
π Watchers: 46
π΄ Forks: 629 forks
π» Programming Languages: Python - PLpgSQL
π·οΈ Related Topics:
#python #agent #awesome #state_management #ai #memory #memory_management #hacktoberfest #long_short_term_memory #rag #llm #memori_ai #hacktoberfest2025 #chatgpt #aiagent================================== π§ By: https://t.me/DataScienceM
13 301
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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
π https://t.me/DataScienceN
13 301
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π 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.
π° It provides capabilities for data interaction, insight generation, and includes a semantic layer that ensures the accuracy of conclusions.
π° API integration enables the creation of custom agents and chatbots.
π The platform supports multiple databases and is compatible with various LLM models.
π Links:
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π€Tags: #ai #agents #sql #llm
13 301
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π οΈ RMBG is a new AI background removal model that significantly outperforms its counterparts.
π° It effectively separates the foreground and background for various types of images, providing high accuracy and commercial applicability.
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π·οΈTags:
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13 301
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13 301
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13 301
If you love automating everything, this is for you
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π https://t.me/DataScienceN
