Can this skill help me fix circular dependency errors?

Yes, the skill is designed to identify circular references in your cells and suggest specific refactoring patterns to ensure a linear, reactive data flow.

What is the main benefit of using marimo over Jupyter?

Marimo uses a reactive execution model that eliminates hidden state by tracking dependencies between cells, making notebooks reproducible, git-friendly, and easier to deploy as web apps.

How does this skill handle large datasets?

It implements performance best practices like @marimo.cache for expensive computations, lazy loading patterns, and efficient data types to optimize memory and speed.

Does it support database integrations?

Absolutely, the skill provides specific code patterns for marimo.sql and efficient data loading from PostgreSQL, MySQL, and other common data sources.

Can I turn my notebook into a standalone web application?

Yes, the skill guides you through implementing interactive UI controls and responsive layout patterns that allow your notebook to function as a professional web app.

Marimo Notebook Assistant

Name: Marimo Notebook Assistant
Author: nibzard

bynibzard

데이터 과학 및 ML

Builds and optimizes reactive Python notebooks using marimo for interactive data analysis, dashboards, and machine learning workflows.

소개

The Marimo Notebook Assistant empowers developers to leverage marimo's reactive execution model to create clean, reproducible, and deployable Python notebooks. It streamlines the development process by managing complex cell dependencies, integrating interactive UI elements, and handling data-heavy workflows without the hidden state issues common in traditional notebooks. Whether you are building real-time dashboards, training ML models, or converting legacy Jupyter files, this skill provides the architectural patterns and debugging expertise needed to ensure your marimo apps are efficient, version-control friendly, and production-ready.

주요 기능

Reactive cell dependency management and optimization
Interactive UI element and dashboard layout implementation
Circular dependency detection and error resolution
Automated Jupyter-to-marimo notebook conversion assistance
0 GitHub stars
SQL integration and database performance tuning

사용 사례

Developing interactive data dashboards with real-time filtering and visualizations
Migrating legacy Jupyter notebooks to a git-friendly, reactive Python format
Creating machine learning workflows with hyperparameter tuning interfaces

소개

주요 기능

Reactive cell dependency management and optimization
Interactive UI element and dashboard layout implementation
Circular dependency detection and error resolution
Automated Jupyter-to-marimo notebook conversion assistance
0 GitHub stars
SQL integration and database performance tuning

사용 사례

Developing interactive data dashboards with real-time filtering and visualizations
Migrating legacy Jupyter notebooks to a git-friendly, reactive Python format
Creating machine learning workflows with hyperparameter tuning interfaces