runcell.dev
Converts natural language questions into executed notebook workflows, including writing and running Python, reading outputs, and iterating on results.
An AI agent that operates inside Jupyter notebooks, converting natural language questions into executed code and analysis. It inspects the notebook, writes and runs Python, reads outputs, and iterates on results. It targets data analysts, data scientists, researchers, and domain experts in finance and other fields who need reproducible, explainable analysis. It is delivered as a JupyterLab extension with a free tier and enterprise options.
Key features
- Autonomous notebook execution
- Complex workflow automation
- Smart error handling and recovery
- Natural language queries about code
- AI-powered code generation
- Smart recommendations for next steps
- Seamless Jupyter integration
- Interactive explanations with live code examples
- Step-by-step algorithm comparisons
- Visual learning with real-time execution
- Describe analysis in domain terms
- Publication-ready figures
- No social media activity within the last 30 days
GTM channels
- Blog
- Community
- Docs
ICP
- Data analytics teams
- Software developers