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marimo

marimo is an open-source, AI-native reactive Python notebook for reproducible data and AI workflows, SQL, and app deployment.

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marimo's Top Features

Open-source, AI-native reactive Python notebook

Full-cell AI code generation and refactoring (hosted and local models)

Context-aware AI assistant with access to in-memory variables

Fully reactive execution engine with automatic dependency management

Native interactive UI components bound to Python variables

Git-friendly .py notebooks with deterministic, reproducible execution

Built-in SQL for dataframes, databases, warehouses, and sheets

Shareable and deployable as scripts, apps, and slides; WASM support

Configurable AI models and prompts; quick switching between local and hosted

High-performance dataframe viewer with search, filter, and sort at scale

Frequently asked questions about marimo

marimo is an open-source reactive Python notebook designed for data and AI workflows, offering automatic cell dependency management, app deployment, SQL, and a modern coding interface.

marimo is AI-native and lets you generate, refactor, or autocomplete code cells from prompts using integrated LLMs (OpenAI, Anthropic, Google) or local models via Ollama. Its assistant can access variables and their values in memory for context-aware suggestions.

marimo has a fully reactive execution engine: when a cell runs or a UI element is interacted with, dependent cells automatically update or are marked stale, keeping code and outputs consistent for better reproducibility.

Yes. marimo notebooks natively support SQL, so you can query dataframes, databases, warehouses, lakehouses, CSV files, and Google Sheets directly in the notebook.

Notebooks are saved as pure Python (.py) files, making them Git-friendly, executable as scripts, deployable as apps, and easy to share, including as live, read-only interactive links.

marimo includes GitHub Copilot integration, AI assistants, code formatting with Ruff, HTML export, fast code completion, a VS Code extension, interactive dataframe viewing, and more productivity features.

Yes. marimo is Python-first—AI code generation and refactoring are entirely optional.

You can choose and configure models for chat, code editing, and autocomplete via an intuitive UI, switch between local and hosted models, set custom system prompts, and use your own API keys.

You can bind sliders, tables, and plots to Python variables and interactively filter, search, and sort millions of rows without extra code.

Yes. marimo supports all major Python package managers, can install packages automatically, serializes requirements in notebook files, and manages isolated environments.

marimo's pricing

molab

$0/

Free to use for reasonable usage
Cloud and local usage of marimo notebooks
Use any Python package via the cloud backend

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marimo's Top Features

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marimo

marimo's Top Features

Frequently asked questions about marimo

What is marimo?

How does marimo use AI for coding assistance?

What makes marimo different from traditional notebooks like Jupyter?

Can I use marimo for data work beyond Python, like SQL?

How are marimo notebooks stored, shared, and executed?

What built-in tools and integrations does marimo include?

Is AI code generation in marimo optional?

How do I configure AI models in marimo?

What interactive features does marimo support for data exploration?

Does marimo support package management?

marimo's pricing

molab

$0/

Customer Reviews

Category

Tags

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Gitlab code suggestions

TestFlight

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