e2b-cookbook
Provides example code and guides for building applications using the E2B SDK, facilitating the development of interactive data analysis tools and UI-driven applications.
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lawrenciumLr103
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✴️ E2B Cookbook
Example code and guides for building with E2B SDK.
Read more about E2B on the E2B website and the official E2B documentation.
Examples
Open-source apps - E2B AI Analyst - analyze your data & create interactive charts - E2B Fragments - prompt different LLMS to generate apps with UI
Hello World guide - TypeScript - Python
Example use cases - Anthropic's Artifacts UI with AI Code Execution - JavaScript/TypeScript - Upload dataset and analyze it with Llama 3 - Python - Scrape Airbnb and analyze data with Claude 3 Opus and Firecrawl - JavaScript/TypeScript - Visualize website topics with Claude 3.5 Sonnet and Firecrawl - Python
LLM providers - 🦙 Meta - Llama 3.1 405B, 70B or 8B with code interpreter & Together AI - Python - JavaScript/TypeScript - Llama 3.1 405B, 70B or 8B with code interpreter & Fireworks - Python - Llama 3 with code interpreter - Python - JavaScript/TypeScript - OpenAI - o1 with data analysis and visualization of a csv file - Python - JavaScript/TypeScript - GPT-4o with code interpreter and reasoning on image data - Python - JavaScript/TypeScript - o1 and GPT-4 with code interpreter performing machine learning on dataset - Python - JavaScript/TypeScript - Anthropic - Claude 3 Opus with code interpreter - Python - JavaScript/TypeScript - Anthropic's Artifacts UI with AI Code Execution - JavaScript/TypeScript - Anthropic models with Firecrawl - Visualize website topics - Python - Scrape Airbnb and analyze data - JavaScript/TypeScript - Mistral - Codestral with code interpreter - Python - JavaScript/TypeScript - Groq - Llama 3 hosted on Groq + function calling + E2B Code interpreter - Python - Fireworks AI - Firefunction-v2 with code interpreter - Python - Qwen2.5-Coder-32B-Instruct with code interpreter - Python - Together AI - Code interpreter usable with Meta Llama 3.1 Instruct Turbo (8B or 70B or 405B), Qwen 2 Instruct (72B), Code Llama Instruct (70B), or DeepSeek Coder Instruct (33B) - Python - JavaScript/TypeScript
AI frameworks integrations - 🦜⛓️ LangChain - LangChain with Code Interpreter - Python
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🦜🕸️ LangGraph
- LangGraph with code interpreter - Python
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Autogen
- Autogen with secure sandboxed for code interpreting - Python
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▲ Vercel AI SDK
- Vercel AI SDK's Next.js + AI SDK + Code Interpreter - JavaScript/TypeScript
- Anthropic's Artifacts UI with Vercel AI SDK - JavaScript/TypeScript
