Runcell
Runcell is an AI agent for Jupyter notebooks that automates writing Python code, executing cells, debugging, and explaining data analysis results in real time. The AI Agent for data science works, automate python coding works in data engineer, etc.
runcell (Jupyter AI agent) is an AI copilot built for notebooks. It understands your current kernel stateโvariables, DataFrame schemas, imports, outputsโand proposes the next best cell to move your work forward. With one command, it can draft code, execute it safely, validate the output, and automatically refine on errors. You get productionโquality cells (with comments and docstrings) and a clear audit trail of changes.
Whether youโre exploring data, transforming pipelines, or teaching with notebooks, runcell eliminates โsearchโcopyโpasteโdebugโ loops. It nudges work toward best practices (tests, assertions, checkpoints), and documents decisions for future youโor your teammates. Bring your own LLM keys, keep data in your environment, and control exactly what leaves your notebook.
Core capabilities
Naturalโlanguage to code
Drafts new cells or refactors existing ones from plainโEnglish prompts.
Incorporates notebook context (imports, variables, DataFrame dtypes, shapes) to produce runnable code.
Run, validate, iterate
Executes proposed cells, inspects outputs/exceptions, and autoโfixes common issues (missing imports, dtype mismatches, offโbyโone, plotting errors).
Contextโaware assistance
Explain cell: summarizes what a cell does and why.
Suggest next step: proposes analysis steps, visualizations, or checks based on your artifacts.
Inline docs: inserts comments, docstrings, and markdown rationale.
Environment & reproducibility
Detects missing packages and (optionally) generates a safe install cell; can export requirements.txt or environment.yml.
Data & visualization helpers
Quick EDA: profiling, missingโvalue maps, summary stats.
Transformations: joins, groupby, window ops, feature engineering.
Visuals: histograms, pairplots, line/bar charts, residual plots, interactive charts (e.g., Plotly).
Works smoothly with pandas, numpy, polars, matplotlib/plotly, and visualization helpers like pygwalker.
A startup from San Francisco, the United States that is founded by Elwynn Chen.
- Freemium
- Free Trial
- $20.0 / Monthly (500 credits for advanced models)
- Official Pricing
