using-streamlit-custom-components

Install and integrate third-party custom components into Streamlit apps.

487|128|Updated Mar 27, 2026
One-click install
npx skills add https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop --skill using-streamlit-custom-components-iusztinpaul
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: using-streamlit-custom-components
Source: https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop/tree/main/.agents/skills/developing-with-streamlit/skills/using-streamlit-custom-components
Command: npx skills add https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop --skill using-streamlit-custom-components-iusztinpaul

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Streamlit users often need richer UI controls beyond core widgets, and custom components provide community-built solutions that extend functionality without forking Streamlit.

Core Features & Use Cases

  • Installation: Install and import third-party custom components to extend Streamlit apps.
  • Usage Guidance: Identify popular components (streamlit-keyup, streamlit-bokeh, streamlit-aggrid, streamlit-folium, pygwalker, streamlit-extras) and apply them safely, with compatibility checks.
  • Use Case: Build dashboards with live search, advanced tables, interactive maps, and enhanced UI widgets in minutes.

Quick Start

Install and import a chosen Streamlit custom component and integrate it into your existing app to unlock extended widgets.

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 custom UI widgets to a Streamlit app?

You add custom UI widgets to a Streamlit app by installing and importing third-party custom components, requiring knowledge of Python packaging and Streamlit APIs to integrate safely and reliably.

Can I use third-party Streamlit components for interactive maps and advanced tables?

Yes, you can use third-party Streamlit components like streamlit-folium for interactive maps and streamlit-aggrid for advanced tables to build enhanced dashboards in minutes.

What are the most popular Streamlit custom components for building dashboards?

Popular Streamlit custom components for dashboards include streamlit-keyup for live search, streamlit-bokeh, streamlit-aggrid for advanced tables, streamlit-folium for maps, pygwalker, and streamlit-extras.

Do I need Python packaging knowledge to install Streamlit custom components?

Yes, you need knowledge of Python packaging and Streamlit APIs to install, import, and integrate third-party custom components safely and reliably within your existing Streamlit applications.

How do I check compatibility for Streamlit custom components?

You check compatibility for Streamlit custom components by identifying popular community-built components and applying compatibility checks to ensure they integrate safely and reliably within your app environment.