The AI Agent for Jupyter runcell

An AI agent that understands your Jupyter notebooks, writes Python code, executes cells, and accelerates data analysis so you can focus on insights.

$pip install runcell
Features & Use Cases

Turn your Jupyter Lab into an AI IDE

No need to switch tools. runcell transforms the Jupyter you already use into a modern AI IDE โ€” with a code agent, data agent, and inline completions.

Out [1]Learn & Explore
01Learn & Explore

๐ŸŽ“Interactive Learning Mode

AI teacher that explains concepts with live examples - perfect for learning differences between algorithms like K-means vs DBSCAN.

Interactive AI teacher for concept learning

Out [2]Automate & Execute
02Automate & Execute

๐Ÿค–Autonomous Agent Mode

AI takes full control of your notebook, executing cells and completing complex workflows automatically.

Full notebook automation and execution

Out [3]Bioinformatics & Domain Expertise
03Bioinformatics & Domain Expertise

โœ๏ธBioinformatics visualization

Help with coding for domain experts, you focus on idea, agent handles coding.

AI assistance for domain-specific coding

Out [4]Enhance & Assist
04Enhance & Assist

๐Ÿ’ฌAI-Enhanced Jupyter

Ask questions about your code, get AI-generated solutions, and receive smart recommendations for next steps.

AI-powered Jupyter enhancement

Why RunCell

What is RunCell?

RunCell is an AI agent for Jupyter notebooks. It lives inside JupyterLab as a lightweight extension and works like an AI pair programmer for data science โ€” writing Python code, executing cells, debugging errors, and explaining results in plain language. Unlike chat tools bolted onto a notebook, RunCell understands your notebook's full context, including the charts and image outputs your code produces, so its suggestions actually fit the analysis you're running.

Runs inside JupyterLabpip install runcellNo API key requiredReads your charts & outputsWorks on existing .ipynb files

What RunCell can do

An AI agent that works your Jupyter notebook for you

RunCell eliminates repetitive work and accelerates data analysis. It reads the structure of each notebook, writes and edits relevant Python code, executes cells, and explains the results โ€” so you stay focused on insights, not boilerplate. It's the only AI agent for data science that genuinely understands the visualizations and image outputs your code generates.

Learn more on the features page, or read the documentation to see how RunCell supports end-to-end notebook automation.

Context & output awareness

The agent continuously analyzes the surrounding cells and your rendered outputs, then recommends the next best action โ€” generating functions, fixing imports, or turning messy results into publication-ready charts.

Stay in the Jupyter you trust

RunCell is a Cursor alternative for Jupyter users. Install the lightweight extension, authenticate in one click, and collaborate with the AI agent in the notebook you already use โ€” no need to switch editors.

Key capabilities

Everything you need to automate your data science workflow

Context-aware codeAI-written Python tuned to each notebook cell and dataset.
Auto execution & debuggingRuns cells, diagnoses errors, and keeps your analysis moving.
Natural-language queriesGenerate charts, functions, and reports from a plain prompt.
Jupyter superpowersFile tree, global search, and git built right into JupyterLab.

How it compares

Where RunCell fits among AI coding tools

vs. vanilla Jupyter

Jupyter runs your code, but you still write every line and debug alone. RunCell adds an AI agent that writes, executes, and fixes cells for you โ€” without leaving the notebook.

vs. Cursor & AI IDEs

Cursor is a great AI editor, but it pulls you out of Jupyter into a separate IDE. RunCell brings the same agentic AI coding experience into the JupyterLab you already use.

vs. Copilot autocomplete

Autocomplete guesses the next line. RunCell plans multi-step analyses, runs them, reads the results, and iterates โ€” a full data agent, not just code completion.

FAQ

Frequently asked questions

RunCell is an AI agent for Jupyter notebooks. It writes Python code, runs cells, debugs errors, and explains your data analysis in plain language โ€” all inside JupyterLab.

Install the extension with โ€œpip install runcellโ€ (or through the JupyterLab extension manager), restart JupyterLab, and sign in. There is no separate desktop app and no new IDE to learn.

No. RunCell includes access to leading AI models such as GPT, Claude, and Gemini based on your plan, so you can start using the agent without bringing your own API key.

Yes. RunCell brings agentic, Cursor-style AI coding into JupyterLab, giving data scientists an AI IDE experience without switching away from the notebooks they already use.

Yes. RunCell reads the visualizations and image outputs your cells produce, so it reasons about real results instead of guessing from your code alone.

It generates and edits Python code, executes and debugs cells, refactors notebooks, answers questions about your data, and can run autonomous multi-step data analysis workflows end to end.

Yes. RunCell works on your existing .ipynb notebooks in JupyterLab and respects your workflow, adding conveniences like a file tree, global search, and git directly in Jupyter.

Yes. The free Hobby plan includes monthly credits so you can try the AI agent, and paid plans add more credits plus access to advanced models for heavier data science work.
Runcell Demo + Intro in 1 minute

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