Cursor vs Runcell
A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.
Cursor Coding | Runcell Coding | |
|---|---|---|
| Tagline | AI-first VS Code fork — chat, edit, and agentic coding in one IDE. | Jupyter-native AI agent built for multi-week ML and data science projects. |
| Category | Coding | Coding |
| Pricing | Freemium· Hobby: Free · Individual: $20 / mo. · Teams: $40 / user / mo. · Enterprise: Custom | Freemium· Hobby: $0 · Pro: $20/month · Pro+: $60/month · Ultra: $200/month · Teams: $40/seat/month |
| Model | Claude / GPT (configurable) | Multi-model (GPT, Claude, Gemini) |
| Editorial score | 9.5 / 10 | 7.1 / 10 |
| Use cases | codingrefactorsagentic editsIDE | jupyter-notebooksdata-scienceml-researchlong-running-trainingnotebook-automation |
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| Cons |
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| Website | cursor.com | runcell.dev |
Pick Cursor if
- ✅ Best-in-class multi-file edits
- ✅ Choice of underlying models
- ✅ Composer agent is genuinely useful
- ✅ Tab completion is faster than Copilot
Pick Runcell if
- ✅ Lives inside JupyterLab instead of forcing an IDE switch
- ✅ Reads cell outputs (plots, dataframes) for grounded reasoning
- ✅ Persistent cross-session memory survives multi-week projects
- ✅ Bundled model access — no BYO API keys required