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using-streamlit-custom-components

Integrate third-party Streamlit custom components installed via PyPI.

Updated Apr 4, 2026
Search Tags:#ui#python#uv#streamlit#widgets#web-app#custom-components
One-click install
npx skills add https://github.com/mberetvas/blauw_zwart_pipeline --skill using-streamlit-custom-components-mberetvas
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: using-streamlit-custom-components
Source: https://github.com/mberetvas/blauw_zwart_pipeline/tree/main/.agents/skills/developing-with-streamlit/skills/using-streamlit-custom-components
Command: npx skills add https://github.com/mberetvas/blauw_zwart_pipeline --skill using-streamlit-custom-components-mberetvas

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Custom components let you extend Streamlit with community libraries when its core widgets fall short.

Core Features & Use Cases

  • Standalone Python libraries that add features not in Streamlit's core API.
  • Installation via PyPI packages using uv add <package-name> and import according to the documentation.
  • Compatibility considerations: evaluate maintenance, version compatibility, and community support.
  • Popular components to know about: streamlit-keyup, streamlit-bokeh, streamlit-aggrid, streamlit-folium, pygwalker, streamlit-extras.

Quick Start

Install a component with uv add <package-name> and import it following the component's documentation.

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 widgets to Streamlit that aren't in the core API?▼

Streamlit custom components are standalone Python libraries that add features not available in the core API. You install them via PyPI using uv add and import them according to the component's documentation to introduce specialized visualizations or enhanced interactivity.

What Streamlit custom components are available for interactive data grids and maps?▼

Popular custom components include streamlit-aggrid for interactive grids, streamlit-folium for maps, and streamlit-bokeh for advanced plots. These community libraries extend Streamlit beyond its built-in widget capabilities.

How do I install and import a third-party Streamlit component using uv?▼

Install a Streamlit custom component by running uv add <package-name> in your terminal. Then import the library into your Python script following the component's documentation to start using its widgets.

Does a Streamlit custom component work with my current Streamlit version?▼

Custom component compatibility depends on the specific library's maintenance status and support for your active Streamlit version. You must evaluate the community support and test the component before deploying it in production.

When should I use a Streamlit custom component instead of a core widget?▼

Use custom components when core Streamlit widgets fall short and you need specialized visualizations, live widgets, or enhanced interactivity. They are ideal for extending functionality beyond the standard API offerings.

What are the limitations of using community Streamlit components?▼

Limitations include potential maintenance gaps, version compatibility conflicts with your active Streamlit environment, and varying levels of community support. Testing compatibility before deployment is essential to avoid breaking your web app.

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