Marimo

Marimo is a modern, open-source reactive Python notebook that solves the reproducibility and out-of-order execution nightmares of traditional Jupyter notebooks. Designed for data scientists, ML engineers, and researchers, Marimo guarantees that notebook state is always consistent by treating code cells as a Directed Acyclic Graph (DAG). When you modify a variable or code cell in Marimo, all dependent downstream cells automatically re-run instantly, eliminating hidden state bugs. Furthermore, Marimo notebooks are stored as pure, version-control-friendly Python scripts rather than messy JSON files. With built-in AI code generation, interactive UI sliders, instant conversion into shareable web apps, and native SQL query cells, Marimo represents the state-of-the-art computational notebook for 2026.

Marimo's reactive execution engine analyzes variable references and mutations across cells to construct a dynamic dependency graph. This ensures deterministic execution whether running interactively in the browser, testing via Git CI/CD pipelines, or deploying as a standalone dashboard. The notebook environment includes built-in interactive UI elements (sliders, dropdowns, tables, file uploaders) that bind directly to Python variables without external JavaScript frameworks. Marimo also features native DuckDB SQL integration, allowing users to query Pandas and Polars DataFrames using standard SQL syntax. Its integrated AI assistant allows developers to generate data visualization scripts, explain complex algorithms, and refactor data pipelines directly inside the notebook interface with support for local Ollama models and cloud LLM providers.