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Runcell
Use Runcell, an AI agent in Jupyter, to write, execute, debug, and explain notebook code.

About Runcell
Runcell is an AI agent that works inside JupyterLab for notebook-based data work. It is designed for data analysis, data science, and research, and it operates on existing .ipynb files without requiring a new editor or an API key.
You can describe a question or result you need, and Runcell plans the notebook steps, writes Python, executes the cells, and fixes errors. It reads surrounding cells and outputs, including tables, charts, and statistics, to decide on the next step. You can also ask about a specific cell, transformation, or error, and compare analytical approaches with runnable experiments.
It suits analysts, data scientists, and researchers who work in Jupyter, including those in data analysis, data science, risk and quantitative finance, and research and experimentation.
Key features
- Runs inside JupyterLab on existing .ipynb files
- Writes and executes Python cells from questions
- Plans and runs multi-step notebook workflows
- Diagnoses errors and applies fixes in context
- Reads tables, charts and cell outputs
- No API key required
- Works inside existing JupyterLab notebooks
- Executes cells and debugs errors
- Reads outputs to inform next steps
- No API key required
- Only works inside JupyterLab notebooks
- Focused on Python data analysis tasks
Runcell at a glance
- Website
- runcell.dev
- Category
- AI & Machine Learning › AI Coding Tools
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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