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using-streamlit-custom-components

Catalog third-party Streamlit custom components for installation and usage.

1|Updated Mar 22, 2026
Search Tags:#Streamlit#interactive UI#custom components#Python libraries#community packages
One-click install
npx skills add https://github.com/michaelschecht/Edge-Radar --skill using-streamlit-custom-components-michaelschecht
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: using-streamlit-custom-components
Source: https://github.com/michaelschecht/Edge-Radar/tree/main/.claude/skills/developing-with-streamlit/skills/using-streamlit-custom-components
Command: npx skills add https://github.com/michaelschecht/Edge-Radar --skill using-streamlit-custom-components-michaelschecht

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Streamlit developers encounter limitations in the core API. This Skill addresses the need for additional features not available in Streamlit's core, by providing access to a wide range of third-party custom components.

Core Features & Use Cases

  • Extend Functionality: Adds features like interactive text inputs, Bokeh charts, data grids, and maps.
  • Installation Guidance: Walks through the process of installing and importing custom components.
  • Use Case: A developer looking to add interactive maps to a Streamlit app can use this Skill to find and integrate the streamlit-folium component.

Quick Start

Install the 'streamlit-folium' component to add interactive maps to your Streamlit application.

Frequently Asked Questions about using-streamlit-custom-components

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I add interactive maps to a Streamlit app?▼

You can add interactive maps by installing and importing the streamlit-folium custom component. This Skill provides installation guidance for integrating community-developed Python libraries that extend the core Streamlit API.

What are Streamlit custom components used for?▼

Streamlit custom components are used to extend the core API with features like interactive text inputs, Bokeh charts, data grids, and maps. They provide functionality not otherwise available in the standard Streamlit library.

How do I install third-party Python libraries for Streamlit?▼

Install third-party Python libraries for Streamlit by following the installation guidance provided in this Skill. It walks through the process of installing and importing custom community components to enhance your applications.

Can I use Bokeh charts and data grids with Streamlit?▼

Yes, you can use Bokeh charts and data grids with Streamlit by integrating third-party custom components. This Skill catalogs community packages that add these visualization features to the core API.

What should I do when Streamlit's core API lacks the features I need?▼

When Streamlit's core API lacks needed features, use this Skill to find third-party custom components. It catalogs community-developed Python libraries that provide additional interactive UI elements and data visualizations.

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