Bring Cursor-Style AI to Your Jupyter Notebooks
Love Cursor but need it for Jupyter? Cursor can’t read notebook files, but runcell can. Our AI agent for Jupyter writes Python, completes cells, and analyzes data directly in JupyterLab, Notebook, and VS Code.
Works with JupyterLab, Notebook, and VS Code · 5 minute setup · No credit card required
AI-Powered Jupyter Editing Demo
Why You Need an Alternative
Developers searching “Jupyter notebook Cursor” are frustrated because Cursor AI can’t open or execute .ipynb files. The only workaround is to convert notebooks into Python scripts and run them in Cursor—a tedious process that breaks your workflow.
The runcell Advantage
- Native support for JupyterLab and classic Notebook
- Context-aware code completion and generation tuned for notebooks
- One-click cell execution with inline result analysis
- Works in VS Code so you can choose your editor— See the installation guide
runcell vs. Cursor: At a Glance
Quickly compare Cursor’s limitations in notebooks with how runcell works directly inside Jupyter environments.
| Feature | Cursor | runcell |
|---|---|---|
| Jupyter Notebook Support | No native support | Full support (JupyterLab, Notebook, VS Code) |
| Workflow | Convert notebooks to Python files | Works directly inside notebooks |
| AI Assistance | Autocomplete and code generation | Autocomplete, generation, cell execution, data analysis |
| Setup Time | Moderate | About 5 minutes |
Cursor-Like Features Built for Jupyter
Everything that makes Cursor great, reimagined for the notebook environment
Cursor-Style AI Completion
Get intelligent code completion designed for Jupyter notebooks with full context awareness across every cell.
Notebook-Aware Intelligence
Unlike Cursor, our AI understands Jupyter's cell structure, output history, and maintains context across your entire notebook.
Instant Code Generation
Generate entire data analysis pipelines, ML models, and visualizations from natural language—optimized for data science workflows.
Auto Cell Execution
Not just code completion—our AI can execute cells, debug errors, and iterate on results automatically.
How Jupyter Cursor Works
Get started in minutes with your favorite Jupyter environment
Install Extension
Add our extension to JupyterLab, VS Code, or your preferred Jupyter environment
Start Coding
Use natural language to generate code, get completions, and execute cells with AI
Accelerate Workflow
Let AI handle repetitive tasks while you focus on insights and analysis
What Cursor Users Say About Jupyter Cursor
Join thousands who've brought Cursor-like AI to their notebooks
"I love Cursor for regular coding, but runcell finally brings the same experience to Jupyter where I work with data every day."
Sarah Chen
Data Scientist
"Cursor couldn’t open my notebooks. runcell understands every cell, executes code, and helps me iterate faster."
Michael Rodriguez
ML Engineer
"Exactly what my research team needed—Cursor-style AI with real notebook support and inline analysis."
Emily Watson
Research Scientist
Frequently Asked Questions
Can I use Cursor with Jupyter notebooks?
Not directly. Cursor does not currently support .ipynb files. The usual workaround is converting a notebook into a Python script, which disrupts your workflow.
How does runcell integrate with Jupyter?
runcell installs as an extension in JupyterLab or Notebook and adds an AI sidebar that can write, edit, execute cells, summarize dataframes, and generate charts in context. See the installation guide.
Do I need a credit card to try runcell?
No. You can install the extension and try the AI assistant for free—no credit card required.