Can I use runcell with Jupyter Notebook?

**No**, runcell currently only supports **JupyterLab 4.4.0+**. The classic Jupyter Notebook interface is not supported. To switch from Jupyter Notebook to JupyterLab: ``` pip install jupyterlab jupyter lab # instead of jupyter notebook ```

What's the difference between the installation methods?

- **pip from PyPI** (recommended): Automatic dependency management, always latest version - **conda + pip**: Best for conda users, maintains environment isolation - **uv**: Fastest installation, good for CI/CD environments - **Manual wheel**: For offline installations or specific version requirements

Why use pip within conda environments?

While conda is excellent for environment management, pip provides better compatibility for Python wheel files and ensures proper installation of JupyterLab extensions.

How do I verify the installation worked?

1. Start JupyterLab: `jupyter lab` 2. Check the right sidebar for the runcell extension 3. The extension should appear as an icon in the sidebar 4. Click on it to access runcell functionality

Runcell

The AI project partner inside your notebook

AI Engineering ToolsFreemiumWebsite

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Domain Rating

Monthly Traffic

Traffic Growth

+0.0%

Launch Date

N/A

Est. Revenue

N/A

Data updated Jun 22, 2026 · Traffic data: SimilarWeb (estimated)

About Runcell

Runcell is the Jupyter-native AI agent for domain experts running real, multi-week ML and data projects.

Quick facts about Runcell

Runcell is an AI tool tracked by Relve in the AI Engineering Tools category. It uses a Freemium pricing model and runs on the web at runcell.dev.

The Relve catalog tracks 500+ live tools in AI Engineering Tools. Runcell is part of the editorial tracking surface, with a Domain Rating of 29 on Ahrefs' authority scale.

Closest alternatives: Abyss Hub, ACE Studio, Actionbook, Action Sync, Adaapt.AI. Compare Runcell head-to-head with any of these on the /compare surface — same feature axes, pricing tiers, and traffic side-by-side.

Best for: teams looking for ai engineering tools-class capabilities with a freemium entry point. The Relve editorial team refreshes traffic, ranking, and feature data for Runcell on a rolling 24-hour cycle (last updated Jun 22, 2026), so the numbers above reflect the most recent snapshot of where the tool sits in the market. Traffic figures are SimilarWeb estimates.

Key Features

Autonomous Execution

Give it a goal, it runs the notebook

Runcell plans the steps, writes the code, executes the cells, and fixes errors as it goes, functioning as an autonomous agent working end to end inside your notebook. This feature allows users to automate complex workflows, significantly reducing manual repetitive tasks and enhancing productivity.

In-Context Assistance

Ask about any cell, apply the fix in one click

Users can select a cell and inquire about issues or next steps. Runcell reads the surrounding code, generates fixes, and recommends actions without leaving the notebook. This seamless integration enhances user experience by providing natural language queries and smart recommendations.

Interactive Learning

Understand unfamiliar code with live examples

Runcell provides interactive explanations with runnable examples for algorithms or libraries that users may not be familiar with. This feature allows users to learn concepts through real-time execution, making it ideal for data science education.

Domain-Specific Code Generation

You bring the domain, the agent writes the code

For domain experts who think in problems rather than programming languages, Runcell allows users to describe the analysis they need, and it generates the corresponding code. This feature is particularly useful for researchers needing publication-ready figures without the boilerplate coding.

Project Management

Remembers your project

Runcell maintains cross-session memory of datasets, decisions, and project states, allowing users to resume work days later without re-explaining everything. This capability is crucial for managing long-term projects effectively.

Runs the long jobs

Runcell is designed to handle long-running tasks that span hours or days, executing them end to end without losing context. This feature is essential for complex analyses that require sustained computational effort.

Reads your results

Runcell can interpret charts, plots, and image outputs generated by the user's code, allowing it to reason about real outcomes rather than just the code. This feature enhances the analytical capabilities of users by providing insights based on actual results.

Integration and Compatibility

JupyterLab Integration

Runcell integrates seamlessly with JupyterLab, enhancing the user experience without requiring a new editor or workflow. This compatibility allows users to leverage existing .ipynb files and tools they are already familiar with.

Python 3.10+ Support

Runcell is built to support modern Python environments, specifically requiring Python 3.10 or higher. This ensures that users can take advantage of the latest features and improvements in the Python ecosystem.