Runcell is a JupyterLab extension that writes and executes Python code, inspects data outputs, and maintains context for analysis tasks.
What it is
Runcell is a Jupyter-native AI agent designed to help researchers, data analysts, and scientists write and execute code inside their existing notebooks. Instead of providing isolated autocomplete suggestions, Runcell plans workflows, runs cells, inspects generated charts and tables, and recovers from errors directly inside JupyterLab.
Key features
- Operates directly inside JupyterLab on existing notebooks without requiring a separate editor
- Automatically executes Python code and diagnoses errors to keep multi-step workflows moving
- Reads and reasons about tables, plots, and other cell outputs rather than relying on code alone
- Maintains cross-session context of datasets, decisions, and project states
- Includes access to multiple advanced models without requiring personal API keys
Who it's for
- Data analysts building reproducible business and operational reports
- Data scientists testing methods, exploring datasets, and training models
- Quantitative finance professionals analyzing market risk, portfolios, and forecasts
- Researchers generating evidence, figures, and code inside interactive notebooks
Pricing
- Hobby plan available with free monthly credits
- Pro plan for heavy users priced at twenty dollars per month
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