Understand the project
Practical overview
When it fits
Use marimo when notebook work needs dependency-aware cell execution, reproducibility, Git-friendly Python files, SQL analysis, or a route from exploratory code to scripts and deployable applications.
Who it is for
- Python developers building reproducible workflows
- Data scientists and machine-learning practitioners
- Teams combining Python with SQL for analysis
- Users who want to version notebook code with Git
Documented uses
- Build reproducible Python data-science and machine-learning notebooks
- Create interactive data-visualisation applications
- Query data with SQL alongside Python
- Execute notebook logic as scripts
- Version notebook code as pure Python files with Git
Before you choose
Requirements & limits
The project is identified as open source under the Apache-2.0 licence. The supplied information lists desktop, web, CLI and server contexts; no pricing or account requirement is documented.
- Reactive dependency-aware execution rather than manual cell management
- Notebooks stored as pure Python files
- Built-in support for SQL alongside Python
- Ability to execute notebooks as scripts
- Ability to deploy notebooks as applications
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Evidence and transparency
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 30 September 2026
- Original website title
- marimo-team/marimo · Official homepage title · retained in its source language