- Data Scientists & Analysts: Automate repetitive coding tasks, streamline exploratory data analysis, and build prototypes more quickly.
- Machine Learning Engineers: Get AI assistance in preparing datasets, training models, and evaluating results with fewer manual steps.
- Researchers & Academics: Use Runcell to generate experimental code, visualize results, and receive explanations of methods and outputs.
- Students & Learners: Learn coding and data analysis step by step with guided explanations, debugging support, and auto-completion.
- Developers & Engineers: Save time on boilerplate code, debugging, and documentation within notebook workflows.
- Teams & Collaborators: Share enhanced notebooks where the AI can provide context, explanations, and maintain reproducibility for group projects.
How to Use Runcell?
- Install the Extension: Add Runcell as an extension to your Jupyter notebook environment.
- Enable & Configure: Set up your credentials or preferences to activate the AI assistant in your workspace.
- Write and Run Code with Help: Ask Runcell to generate code snippets, run specific cells, or complete unfinished functions.
- Debug Errors Automatically: When code fails, Runcell can analyze the issue, provide suggested fixes, and re-run corrected cells.
- Request Explanations: Use its explanation mode to understand algorithms, code structure, and results in simple terms.
- Automate Workflows: In autonomous mode, allow Runcell to run sequences of tasks, process data, or train models on its own.
- Iterate & Refine: Review outputs, request modifications, and use smart edit mode to refactor or optimize existing code.
- Context-Aware Intelligence: Runcell understands notebook history, variables, and dependencies, allowing it to provide accurate, context-sensitive assistance.
- Live Execution & Debugging: It doesn’t just generate code — it can also run it, troubleshoot errors, and offer fixes immediately.
- Interactive Learning Mode: Provides clear explanations of algorithms, visualizations, and coding practices, making it an excellent companion for students.
- Autonomous Mode: Capable of handling multi-step processes like data cleaning, visualization, and model training without manual intervention.
- Smart Edit Mode: Allows users to request improvements, optimizations, or expansions to already-written code blocks.
- Seamless Integration: Works entirely inside Jupyter notebooks, meaning users don’t need to learn new tools or environments.
- Time-Saving Productivity: Reduces repetitive coding tasks and accelerates workflows in both educational and professional settings.
- Contextual Understanding: The AI tailors its suggestions based on notebook state and prior code.
- End-to-End Workflow Support: Bridges the gap between writing, executing, and debugging.
- Educational Explanations: Makes coding more approachable for learners.
- Automation Capabilities: Handles repetitive tasks and long workflows autonomously.
- Smooth Jupyter Integration: Fits naturally into existing notebook environments.
- Free Plan Limitations: Advanced features and automation may be available only in paid versions.
- Requires Careful Review: AI-generated code may need human oversight before use in critical workflows.
- Limited Granular Control: Expert users may find some manual fine-tuning restricted compared to hand-coded solutions.
- Prompt Sensitivity: The quality of assistance depends on how well the user describes tasks or issues.
Hobby
Free
Limited AI execution credits
Community support
Limited access to LLM models
Pro
$ 20.00
Unlimited code completions
Priority support
Access to most advanced models, including GPT-5 and Claude 4
Privacy mode
Team
$ 50.00
Team management dashboard
Priority support
1,500 credits per month
Access to all models
Priority access to new features
Privacy mode
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Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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