Jupyter AI
Generative AI extension for JupyterLab and Jupyter Notebooks
Founded
2023
Starting Price
$0
Category
Developer Tools
Last updated March 8, 2026
About Jupyter AI
Jupyter AI is an open-source extension that brings generative AI capabilities directly into JupyterLab and Jupyter Notebooks. It provides a native chat interface, the %%ai magic command for reproducible AI workflows, and supports over 1000 LLMs from providers like OpenAI, Anthropic, Google, and more, including local models via Ollama and GPT4All.
Pros & Cons
Pros
- Completely free and open-source with no licensing fees
- Supports over 1000 LLMs across all major providers out of the box
- Local model support via Ollama and GPT4All for privacy and offline use
- %%ai magic works across JupyterLab, Jupyter Notebook, Google Colab, and VS Code
- Can generate entire notebooks from natural language prompts
Key Features
Chat Interface
Native sidebar chat UI in JupyterLab for conversational AI assistance with code, data analysis, and notebook tasks
%%ai Magic Command
Cell magic that turns any Jupyter notebook into a reproducible generative AI playground, works in JupyterLab, Colab, and VS Code
1000+ Model Support
Out-of-the-box support for over 1000 LLMs from AI21, Anthropic, AWS, Cohere, Gemini, Hugging Face, MistralAI, NVIDIA, and OpenAI
Local Model Support
Run AI models locally with GPT4All and Ollama for privacy-focused and offline usage on consumer-grade hardware
Multi-Thread Chat
Multiple editable chat threads saved as Jupyter server documents with .chat extension for organized conversations
Notebook Generation
Generate entire notebooks from scratch using natural language prompts, including data preprocessing and model training code
Context-Aware Assistance
AI assistant that can learn about your local data and provide more specific, relevant responses based on your project context
Pricing
Free (Open Source)
$0
- Full extension functionality
- Chat interface
- %%ai magic command
- All model provider integrations
- Local model support
Best For
Data Analysis Acceleration
Use AI to quickly generate code for data preprocessing, exploratory analysis, and visualization directly within notebooks
Machine Learning Prototyping
Generate model training pipelines, feature engineering code, and evaluation scripts through conversational prompts
Code Documentation
Automatically generate docstrings, comments, and explanations for existing notebook code using the chat interface
Learning and Education
Students and educators can use AI assistance to understand concepts, debug code, and explore algorithms interactively
