Jupyter AI Agent - runcell.dev
Transform your Jupyter notebooks with runcell.dev's AI agent. Automate data analysis, generate code, fix errors, and create visualizations instantly. Your intelligent assistant for data science and research workflows.
See runcell.dev in Action
Explore different modes and capabilities through interactive demonstrations
Interactive Learning Mode
AI teacher that explains concepts with live examples - perfect for learning differences between algorithms like K-means vs DBSCAN.
Autonomous Agent Mode
AI takes full control of your notebook, executing cells and completing complex workflows automatically.
Smart Edit Mode
AI assistant that helps you edit and improve your notebook with intelligent suggestions and code modifications.
AI-Enhanced Jupyter
Ask questions about your code, get AI-generated solutions, and receive smart recommendations for next steps.
Why Choose runcell.dev?
Smart Data Analysis
Our AI analyzes your data patterns and automatically suggests the best statistical methods, visualizations, and insights without manual exploration.
Intelligent Code Generation
Describe what you want in plain English, and watch as the AI generates optimized Python code complete with comments and best practices.
One-Click Visualizations
Create stunning plots, charts, and interactive dashboards automatically. The AI selects the best visualization type based on your data.
Smart Error Detection & Fixing
When errors occur, our AI not only identifies the issue but also suggests and implements fixes, saving hours of debugging time.
Auto Documentation
Generate comprehensive documentation for your notebooks, including markdown explanations, docstrings, and analysis summaries.
Seamless Integration
Works with all popular data science libraries including pandas, numpy, scikit-learn, tensorflow, and more. No setup required.
Use Cases
Data Science & Analytics
Perfect for data scientists who want to accelerate exploratory data analysis, feature engineering, and model building with AI-powered automation.
Machine Learning
Streamline ML workflows from data preprocessing to model training and evaluation. Get intelligent hyperparameter suggestions and automated pipeline creation.
Research & Academia
Researchers can focus on insights while the AI handles data wrangling, statistical analysis, and publication-ready visualizations.
Education & Learning
Students and educators benefit from instant code explanations, step-by-step problem solving, and interactive learning experiences.
Revolutionize Your Data Science Workflow
Meet runcell.dev - the AI agent that transforms how you work with Jupyter notebooks. Whether you're analyzing complex datasets, building machine learning models, or conducting research, our intelligent assistant dramatically accelerates your workflow. Simply describe what you want to achieve in plain English, and watch as the AI generates production-ready code, creates stunning visualizations, and provides deep insights into your data. No more hours spent debugging or searching Stack Overflow - runcell.dev understands context, suggests optimal solutions, and even fixes errors automatically. Perfect for data scientists, researchers, students, and anyone working with data in Jupyter notebooks. Start with our free tier and experience the future of data science today.
1. Connect Your Jupyter Environment
Sign up for runcell.dev and connect it to your Jupyter notebook or JupyterLab instance. No installation needed - it works directly in your browser.
2. Describe What You Need
Type your request in natural language, like 'analyze this dataset and show correlations' or 'create a machine learning pipeline for classification'.
3. Review and Execute AI-Generated Code
The AI generates optimized code with explanations. Review the suggestions, make any adjustments, and execute with confidence.
4. Iterate and Refine
Continue working with the AI agent to refine analyses, fix errors, and create comprehensive data science workflows effortlessly.
