Dash vs Streamlit

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

Dash

Build analytical web apps with Plotly.js, React, and Flask.

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

Build analytical web apps with Plotly.js, React, and Flask.

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

Teams needing to quickly build interactive, data-driven web apps with Python.
Data scientists who want to create custom dashboards without deep frontend knowledge.
Projects requiring integration of complex visualizations and backend logic.

✓ 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

Developers looking for a purely serverless solution (Dash requires self-hosting).
Teams preferring full-stack JavaScript solutions over Python-based frameworks.

✕ Not for

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

Strengths

↑ Strengths

Interactive visualizations with Plotly.js
Responsive UI components using React
Server-side logic with Flask
Hot-reloading for rapid development

↑ Strengths

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

Weaknesses

↓ Weaknesses

Limited integrations with non-Plotly.js visualization libraries
Performance issues with large datasets

↓ Weaknesses

Limited language support, restricted to Python
Performance issues with large datasets
Full Dash profile →Full Streamlit profile →
Dash vs Streamlit | AI Navigator