Marimo

Marimo is a modern open-source reactive Python notebook with over 21,000 GitHub stars, designed to fix the fundamental problems of traditional Jupyter notebooks. Created as a reimagining of what notebooks should be, Marimo automatically tracks cell dependencies and reactively re-executes affected cells when upstream values change, eliminating hidden state bugs that plague traditional notebooks. Marimo notebooks are stored as pure .py files, making them fully git-friendly, reviewable in pull requests, and executable as standard Python scripts.

Common Use Cases

Data scientists use Marimo for exploratory data analysis with reactive updates, where changing a parameter automatically refreshes all downstream visualizations and calculations without manual re-execution. Developers build interactive data applications and dashboards by combining Marimo's UI elements with Python code, deploying notebooks as standalone web apps for stakeholders. Teams use Marimo for reproducible research and analysis, sharing notebooks as Python scripts that can be executed in CI/CD pipelines or reviewed in code review workflows. SQL analysts leverage the built-in SQL support to query databases directly within notebooks, combining SQL queries with Python data processing and visualization.

Key Features

• Reactive execution that automatically re-runs cells when dependencies change
• Pure Python file format for git-friendly version control and code review
• Built-in SQL support for querying databases and dataframes
• Interactive UI elements including sliders, dropdowns, and tables
• Deploy notebooks as standalone web applications
• Modern editor with autocomplete, formatting, and error highlighting
• Run notebooks as scripts from the command line
• Package management with automatic dependency detection
• Dataframe viewer with filtering, sorting, and search
• Compatible with popular Python libraries like pandas, matplotlib, and plotly

Why deploy Marimo on Hostinger VPS

Deploying Marimo on a Hostinger VPS gives you a private Python notebook environment accessible from any browser without installing Python or dependencies locally. The always-on VPS means your notebooks and data persist between sessions, and you can share interactive analyses with team members by simply sharing the URL. With the SQL extension pre-installed, you can connect to databases running on the same VPS for integrated data workflows. Token-based authentication ensures only authorized users can access your notebooks and data.