Data Science Jupyter Notebooks
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Explore the world of Data Science through Jupyter Notebooks—insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
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🔥 Trending Repository: klavis

📝 Description: Klavis AI (YC X25): MCP integration layers that let AI agents use thousands of tools reliably.

🔗 Repository URL: https://github.com/Klavis-AI/klavis

🌐 Website: https://www.klavis.ai/

📖 Readme: https://github.com/Klavis-AI/klavis#readme

📊 Statistics:
🌟 Stars: 4.7K stars
👀 Watchers: 160
🍴 Forks: 447 forks

💻 Programming Languages: Python - TypeScript - Go - JavaScript

🏷️ Related Topics:
#api #open_source #oauth2 #ai #integration #discord #mcp #developer_tools #agents #ai_agents #llm #function_calling #mcp_server #mcp_client


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🧠 By: https://t.iss.one/DataScienceM
🔥 Trending Repository: n8n-mcp

📝 Description: A MCP for Claude Desktop / Claude Code / Windsurf / Cursor to build n8n workflows for you

🔗 Repository URL: https://github.com/czlonkowski/n8n-mcp

🌐 Website: https://www.n8n-mcp.com/

📖 Readme: https://github.com/czlonkowski/n8n-mcp#readme

📊 Statistics:
🌟 Stars: 8.4K stars
👀 Watchers: 107
🍴 Forks: 1.6K forks

💻 Programming Languages: TypeScript - JavaScript - Shell - Dockerfile

🏷️ Related Topics:
#mcp #workflows #n8n #mcp_server


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🧠 By: https://t.iss.one/DataScienceM
🔥 Trending Repository: mcp

📝 Description: AWS MCP Servers — helping you get the most out of AWS, wherever you use MCP.

🔗 Repository URL: https://github.com/awslabs/mcp

🌐 Website: https://awslabs.github.io/mcp/

📖 Readme: https://github.com/awslabs/mcp#readme

📊 Statistics:
🌟 Stars: 7K stars
👀 Watchers: 68
🍴 Forks: 1K forks

💻 Programming Languages: Python - Shell - Dockerfile - HTML - TypeScript - Jinja

🏷️ Related Topics:
#aws #mcp #mcp_servers #mcp_server #modelcontextprotocol #mcp_client #mcp_tools #mcp_host #mcp_clients


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🧠 By: https://t.iss.one/DataScienceM
🔥 Trending Repository: TrendRadar

📝 Description: 🎯 告别信息过载,AI 助你看懂新闻资讯热点,简单的舆情监控分析 - 多平台热点聚合+基于 MCP 的AI分析工具。监控35个平台(抖音、知乎、B站、华尔街见闻、财联社等),智能筛选+自动推送+AI对话分析(用自然语言深度挖掘新闻:趋势追踪、情感分析、相似检索等13种工具)。支持企业微信/飞书/钉钉/Telegram/邮件/ntfy推送,30秒网页部署,1分钟手机通知,无需编程。支持Docker部署 让算法为你服务,用AI理解热点

🔗 Repository URL: https://github.com/sansan0/TrendRadar

🌐 Website: https://github.com/sansan0

📖 Readme: https://github.com/sansan0/TrendRadar#readme

📊 Statistics:
🌟 Stars: 6K stars
👀 Watchers: 21
🍴 Forks: 4.5K forks

💻 Programming Languages: Python - HTML - Batchfile - Shell - Dockerfile

🏷️ Related Topics:
#python #docker #mail #news #telegram_bot #mcp #data_analysis #trending_topics #wechat_robot #dingtalk_robot #ntfy #hot_news #feishu_robot #mcp_server


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🧠 By: https://t.iss.one/DataScienceM