using-streamlit-custom-components

Integrate third-party custom components into Streamlit applications.

Updated Feb 13, 2026

Search Tags:#data visualization #web development #python #ui/ux #streamlit #custom components

Ready to run

npx skills add https://github.com/Aaron-Tawil/super-order-automation --skill using-streamlit-custom-components-aaron-tawil

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: using-streamlit-custom-components
Source: https://github.com/Aaron-Tawil/super-order-automation/tree/main/.codex/skills/developing-with-streamlit/skills/using-streamlit-custom-components
Command: npx skills add https://github.com/Aaron-Tawil/super-order-automation --skill using-streamlit-custom-components-aaron-tawil

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires streamlit-keyup, streamlit-bokeh, streamlit-aggrid, streamlit-folium, pygwalker, streamlit-extras, and includes references (resource) components.

What problem does it solve?

This Skill helps you enhance your Streamlit applications by integrating powerful features from third-party custom components, going beyond Streamlit's core capabilities.

Core Features & Use Cases

Installation Guidance: Learn how to add custom components using uv add.
Popular Components: Discover and implement components like streamlit-keyup for live search, streamlit-aggrid for advanced data tables, streamlit-folium for interactive maps, and pygwalker for data exploration.
Use Case: You need a real-time search bar in your Streamlit dashboard that filters data as the user types. You can use the streamlit-keyup component to achieve this interactivity.

Quick Start

Install the streamlit-keyup component and use it to create a text input that updates on every keystroke.

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 third-party custom components to Streamlit?▼

To add custom components to Streamlit, install packages like streamlit-aggrid or streamlit-folium using the uv add command, then import them into your Python script to access advanced data tables and interactive maps.

How do I create a real-time search bar in Streamlit that filters data as I type?▼

To create a real-time search bar in Streamlit, integrate the streamlit-keyup component, which captures text input on every keystroke and immediately filters your dashboard data without requiring form submission.

Can I use interactive maps and advanced data tables in Streamlit?▼

Yes, you can integrate interactive maps and advanced data tables in Streamlit by installing custom components like streamlit-folium for geographical visualizations and streamlit-aggrid for feature-rich tabular data rendering.

When do I need custom components for Streamlit data visualization?▼

You need Streamlit custom components when your application requires advanced UI elements or specialized data visualizations, such as exploratory data analysis with pygwalker, that are not available in standard Streamlit.

How do I evaluate the reliability of Streamlit community components?▼

Evaluating Streamlit community component reliability involves checking the component's maintenance activity and community adoption before integration to ensure stable performance for advanced UI elements within your web application.