Gradio vs Streamlit

Side-by-side — pricing, strengths, tradeoffs, and fit.

Gradio

Quickly create and share interactive demos of machine learning models.

Streamlit

Create beautiful data apps in hours, not weeks.

At a glance

Open SourceFree Tier
● Established·From $0
Open SourceFree Tier
● Established·From $0

Overview

One-liner

Quickly create and share interactive demos of machine learning models.

One-liner

Create beautiful data apps in hours, not weeks.

Maturity

Established

Maturity

Established

Open source

✓ Yes

Open source

✓ Yes

Pricing

Free tier

✓ Available

Open source — free to use

Free tier

✓ Available

Open source — free to use

Starts at

$0

Starts at

$0

Model

Flat rate

Model

Flat rate

Enterprise

✕ None

Enterprise

✕ None

Best for

✓ Best for

Developers who need to quickly create interactive demos for their ML models.
Teams that require easy debugging and collaboration features in the browser.
Individuals or teams looking to share model demonstrations without deploying infrastructure.

✓ Best for

Developers who need a quick way to prototype and share data apps without extensive frontend knowledge.
Data scientists looking to create interactive dashboards with minimal setup.

Not ideal for

✕ Not for

Projects requiring real-time streaming capabilities.
Scenarios where a fully managed backend service is preferred over local setup.

✕ Not for

Projects requiring complex, highly customized user interfaces beyond basic widgets
Teams needing enterprise-grade security features out of the box

Strengths

↑ Strengths

Quickly create interactive demos for machine learning models.
No deployment required to share public links.
Easy debugging and collaboration in the browser.

↑ Strengths

Rapid prototyping and deployment of data apps
Live updating UI with Python code changes
Built-in support for interactive widgets

Weaknesses

↓ Weaknesses

Limited customization options for complex UIs
Performance issues with large datasets or models
Small community and limited third-party integrations

↓ Weaknesses

Limited language support, restricted to Python
Performance issues with large datasets
Full Gradio profile →Full Streamlit profile →