What does runcell do?

Runcell is an AI agent for Jupyter notebooks that generates code, executes cells, automates workflows, explains concepts with examples, and suggests code improvements.

Who is runcell best for?

Runcell is best for data scientists, developers, and Jupyter notebook users who want to automate coding tasks and learn concepts interactively.

Do I need to install anything to use runcell?

Yes, you need to install Runcell as a desktop app or using pip and conda commands in your Jupyter environment.

Is runcell free to use?

Yes, Runcell has a free Hobby plan with 50 credits per month.

Does runcell offer a free trial or demo?

Yes, the free Hobby plan acts as a trial with 50 credits per month to test most features.

Does runcell have a plan for teams or businesses?

Yes, Runcell offers a Team plan for $50 per month with team management, 1,500 credits, and advanced features.

How do I contact runcell support?

Email support@runcell.dev or use community support on the free plan; paid plans get priority support.

runcell: Reviews, Pricing, Alternatives & Features (2026)

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Runcell is a Jupyter notebook plugin for data scientists, developers, analysts, researchers, educators, and students that automates Python coding and notebook execution directly inside Jupyter.

Key capabilities include:

Autonomous Agent Mode to automate multi-step notebook workflows, including writing code and running cells.
Interactive Learning Mode that explains concepts with live, runnable examples (for example, comparing K-means vs DBSCAN).
Smart Edit Mode and context-aware suggestions tuned to each cell, helping improve existing code and propose next steps.
Auto execution and debugging to run cells and diagnose errors, plus natural-language queries to generate charts, functions, and reports.

Pricing: Freemium with Hobby ($0, 50 credits/month), Pro ($20/month, 500 credits), Team ($50/month, 1,500 credits, team management), and Pro+ ($60/month).

Notable for being Jupyter-native with continuous notebook context awareness, support for interpreting visualizations and image outputs, and lightweight setup that does not require a new IDE, API keys, or desktop downloads. It also adds notebook workflow utilities such as a file tree viewer, global search, and Git integration.

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