marimo vs Pluto.jl
marimo
marimo.io
Pluto.jl
plutojl.orgSide by side
| Figure | marimo | Pluto.jl |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| Android | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 1 |
| Spec score · Notebook Software | 8.6 (#8) | 8.3 (#10) |
| Product | marimo is an open-source reactive Python notebook that automatically runs dependent cells and stores notebooks as Git-friendly Python files. | Pluto.jl is a reactive, educational notebook for the Julia programming language. |
| Reactive execution | When a cell runs, marimo runs dependent cells or marks them stale to keep code and outputs consistent. | Pluto analyzes dependencies between cells and reruns affected cells when an upstream value changes. |
| Reproducibility | marimo uses deterministic execution without hidden state and can store package requirements in notebook files. | Opening a notebook on another computer causes Pluto to recreate the package environment recorded in that notebook. |
| Security | marimo says no user code runs without explicit user action, and notebooks opened in edit mode are statically loaded rather than executed as Python modules. | The project repository links to a security policy; the pages reviewed do not state a security certification or compliance standard. |
| Support | The maker directs users with installation issues to GitHub or Discord and lists [email protected] for general contact. | The project points users to its FAQ and documentation, a Zulip chat room, a built-in feedback system, and an email contact. |
| What it does | marimo is an open-source reactive Python notebook for reproducible experiments, data work, and building apps. | Pluto.jl is a reactive programming environment and notebook system for the Julia language. |
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.
Pluto.jl
Pluto.jl is a free, open-source reactive notebook for the Julia programming language, developed for education. Its cells track dependencies, and changes cause affected cells to rerun. PlutoUI provides widgets such as sliders, text fields, and buttons; custom widgets can be built with HTML, CSS, and JavaScript. Pluto analyzes package use, manages a separate package environment for each notebook, and stores environment details in the notebook file. Its documentation says there is no mutable workspace, so the visible code describes the program state. Notebooks can be exported with cell outputs as HTML or PDF. The software is available under the MIT License at free and supports real-time collaboration. To use the package, install Julia and start Pluto from Julia's terminal or REPL; the site lists Julia 1.10 through 1.12. It also links to an online editor powered by mybinder.org and featured notebooks that can run in a browser. Pluto was developed alongside MIT's Introduction to Computational Thinking course and is designed for students and teachers.