The Best AI Tools for Jupyter

If you’re like me, Jupyter is your go-to environment for data analysis, experimentation, and prototyping. But with the recent surge in AI integration, your notebook can now do much more than run code — it can participate in your workflow. In this piece, we’ll review the most compelling AI tools integrated into Jupyter, and explain why Mito‑AI Data Copilot stands out as the best all‑around assistant for Python users.

1. Mito‑AI

Mito‑AI Data Copilot transforms Jupyter into an “AI‑first IDE for data.” Install it with

pip install mito‑ai mitosheet

Once activated in your notebook, Mito‑AI provides:

1. Smart Chat Assistance
   Chat UI that sees your current notebook code and DataFrame schema — without copy‑pasting — so AI can propose context‑aware Python, cleaning, filtering, and visualizations

1. Autocomplete + Smart Debugging
   Tab‑triggered code completions and a “Fix Error in AI Chat” button that identifies and resolves runtime errors with AI logic
2. Spreadsheet-to-Code Editor
   An interactive spreadsheet where updates automatically generate production‑ready Pandas code — no manual translation .

1. Chart Generation by Prompt
   One‑line natural language prompts (e.g., “Plot a histogram of sales by region”) produce complete visualizations, both static and interactive
2. Copilot Memory & Data Awareness
   It sends DataFrame schemas and samples automatically and remembers conversation history — references easily retrievable in later prompts.

From a productivity standpoint, no other tool integrates so tightly with Jupyter and code/data together. Mito‑AI is a data-aware copilot that understands your structure and keeps context, letting you:

• Fix bugs in-line with a click,
• Transform spreadsheets visually while generating code,
• Leverage AI chat, autocomplete, and debugging — all inside the notebook.

Its cohesive combo of chat + debugging + spreadsheet + visualization wizardry gives you an AI assistant that understands both your code and your data. That’s a unique value proposition.

2. Jupyter AI

What it does

Jupyter AI is the Project Jupyter community’s official AI integration. It adds:

• %%ai magic commands for generating/explaining/fixing code, summarizing content, and even spawning whole notebooks,
• A built-in chat pane in JupyterLab, acting like a conversational assistant,
• Support for various LLM providers (OpenAI, Anthropic, Hugging Face, AWS, etc.),
• Metadata tracking of AI-generated cells for transparency

Strengths

• Official and open‑source — backed by the Jupyter ecosystem.
• Model‑agnostic with support for local or cloud LLMs.
• Includes safety features around data privacy and provenance.

Limitations

• Requires manual prompts for fixes/generation.
• No built-in memory — each prompt is a clean slate.
• Lacks data-aware features specific to DataFrame analysis.

2. Notebook Intelligence (NBI)

What it does

NBI is a GitHub Copilot–powered tool built on top of JupyterLab. It offers:

• Inline “Generate code” assistants and diffs
• Cell context menu options for explaining or fixing code,
• Autocompletion powered by Copilot, aware of the surrounding notebook

Strengths

• Seamless integration with familiar Copilot experience.
• Inline workflow — trigger code assistance right from the toolbar or shortcuts.
• Context‑sensitive code generation and fixes.

Limitations

• Requires a GitHub Copilot subscription.
• AI is general‑purpose and not data‑centric — no DataFrame awareness or built‑in debugging for data issues.

3. VS Code AI for Notebooks

What it does

In VS Code, AI features extend to Jupyter notebooks — via Copilot and Microsoft’s AI toolkit. You can:

• Scaffold new notebooks,
• Generate/edit cells
• Ask questions about the code,
• Analyze or visualize data — all within VS Code’s cells

Strengths

• Best-in-class coding experience with full IDE features.

Limitations

• VS Code–specific — JupyterLab users won’t benefit.
• Similar to NBI, it lacks data‑aware intelligence like DataFrame context.

Summary

• Mito‑AI Data Copilot is the most complete tool — chat, debugging, spreadsheet editor, chart prompts, and memory — making it a must-have AI assistant in Jupyter.
• Jupyter AI adds official AI magic commands and chat.
• Notebook Intelligence / VS Code Copilot bring inline AI generation and editing.
• Mito‑AI Data Copilot is the most complete tool — chat, debugging, spreadsheet editor, chart prompts, and memory — making it a must-have AI assistant in Jupyter.