marimo
marimo: AI-native reactive Python notebooks for reliable, reproducible data and AI workflows.
Quick facts
- Best for
- marimo: AI-native reactive Python notebooks for reliable, reproducible data and AI workflows.
- Pricing
- Freemium
- Editor rating
- 4.5 / 5
- Community saves
- 9
About marimo
marimo is an open-source, AI-native reactive Python notebook built for data and AI workflows, combining context-aware coding assistance, SQL-in-Python, interactive UI components, and deterministic, Git-friendly .py notebooks to deliver reproducibility, rapid iteration, and seamless app deployment from a modern developer experience.
Pros
- 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
- Modern editing experience: Copilot, vim keybindings, sidebar chat, variable explorer
- Testing and composability: pytest on notebooks; import between notebooks
Cons
Pricing
molab (cloud-hosted marimo notebook workspace)
$0
- • Free to use for reasonable usage
- • Cloud and local usage of marimo notebooks
- • Use any Python package via the cloud backend
- • AI code generation and assistance
- • Data upload and file management
- • Public but undiscoverable notebook sharing via secret links
- • Notebook export and re-use as Python scripts or apps
- • Upload local notebooks to the cloud (coming soon)
- • Real-time collaboration (coming soon)
- • Ability to configure more CPU/GPU resources (coming soon)