marimo-team/marimo
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
Star History
Momentum
+573
STARS · LAST 30 DAYS
19
PER DAY
#77
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +133 | +573 | +1.7K |
| Per day | 19 | 19 | 19 |
| Forks gained | +6 | +26 | +65 |
marimo gained 573 stars in the last 30 days, about 19 a day, and now has 22.9K. It is about 3 years old and has averaged roughly 7.6K stars a year. It ranks #77 among Python repositories and #386 across all languages on GitHubRepo.
Trending Record
5
DAYS ON TRENDING
#367
BEST RANK
Sep 24, 2026
FIRST APPEARANCE
Active
STATUS TODAY
marimo has maintained a continuous presence across global trending indexes, peaking at #367. Below is the 30-day activity profile:
💡 Overview
marimo is an open-source project written in Python: A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
Engineered for speed, consistency, and developer ease, it solves common hurdles in artificial-intelligence, dag, data-science. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install marimo⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
marimo coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Modern Web Interfaces
Build dynamic, responsive user experiences with component-driven architecture.
Enterprise Design Systems
Standardize design tokens, accessible widgets, and themes across engineering teams.
Interactive Data Dashboards
Render real-time telemetry, user feeds, and analytics with sub-millisecond updates.
Cross-Platform Web Apps
Deploy performant single-page applications optimized for both mobile and desktop browsers.
🚀 Getting Started
Install marimo using your package manager: `pip install marimo`
Initialize your project workspace or configuration file for marimo.
Import marimo into your codebase or invoke it directly from your terminal.
Execute your test suite or run `marimo --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
marimo-team/marimo is currently ranked #386 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #381 | dotnet/maui | C# | ★ 23.3K | Compare ↗ |
| #382 | jaegertracing/jaeger | Go | ★ 23.2K | Compare ↗ |
| #383 | Skyvern-AI/skyvern | Python | ★ 23.1K | Compare ↗ |
| #384 | grpc/grpc-go | Go | ★ 23.1K | Compare ↗ |
| #385 | bendlang/bend | TypeScript | ★ 23K | Compare ↗ |
| #386 | marimo-team/marimo This Project | Python | ★ 22.9K | |
| #387 | mochajs/mocha | JavaScript | ★ 22.9K | Compare ↗ |
| #388 | forem/forem | Ruby | ★ 22.8K | Compare ↗ |
| #389 | TecharoHQ/anubis | Go | ★ 22.7K | Compare ↗ |
| #390 | NVIDIA/NemoClaw | TypeScript | ★ 22.5K | Compare ↗ |
| #391 | thingsboard/thingsboard | Java | ★ 22.5K | Compare ↗ |
Frequently Asked Questions
What does marimo do? +
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
What language is marimo written in? +
The primary language is Python. Topics include: artificial-intelligence, dag, data-science, data-visualization, dataflow.
Is marimo actively maintained? +
Yes, the last recorded push was on Sep 26, 2026 with 599 open issues being tracked.
How many stars does marimo have? +
marimo has 22,907 stars and 1,295 forks on GitHub.
How does marimo rank among GitHub repositories? +
With 22,907 stars, marimo-team/marimo is ranked #386 globally across all repositories tracked on GitHubRepo and #77 among Python projects.
What license is marimo distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
