marimo vs nteract
marimo
marimo.ionteract
nteract.ioSide by side
| Figure | marimo | nteract |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 0 |
| Spec score · Notebook Software | 8.6 (#8) | 7.2 (#22) |
| Product | marimo is an open-source reactive Python notebook that automatically runs dependent cells and stores notebooks as Git-friendly Python files. | nteract describes itself as a local-first notebook environment where people, kernels, and AI agents can work with the same live document. |
Plans
In their own words
marimo
marimo is an open-source reactive Python notebook for reproducible experiments, data work, and interactive apps. When a cell runs, dependent cells run as well or are marked stale, helping keep code and outputs consistent. Notebooks are stored as Python files that can be tracked with Git, run as scripts, or reused as modules. Users can build interfaces with sliders, dropdowns, dataframe tables, and selectable plots, then deploy notebooks as interactive web apps or run them in browsers through WebAssembly. SQL cells work with dataframes, databases, CSVs, and Google Sheets, with named backends including Polars, Pandas, PyArrow, DuckDB, SQLite, and Postgres. AI notebook features support OpenAI, Anthropic, Gemini, Ollama, and compatible APIs. marimo has extensions for VS Code and PyCharm, with the VS Code extension also working in Cursor and other VS Code forks. The free hosted option molab provides 4 CPUs, 32 GB RAM, and sessions up to 12 hours; notebooks are public by default. Running notebook code can execute arbitrary code, so the maker advises using trusted notebooks or reviewing code first. The open-source notebook is free.