🆚 Dash vs. Remix

Compare technologies based on real-world usage data *

Type

Frontend framework
Frontend framework

About

Dash is an original low-code framework for rapidly building data applications in Python, built on top of Plotly.js, React, and Flask.

It offers over 50 interactive components, integrates seamlessly with major data backends, and supports deployment via Dash Enterprise with features like one-click deployment, automated CI/CD pipelines, and enterprise-level security options.

Remix is a full-stack React-based web framework that delivers server-rendered pages with nested routing and progressive enhancement.

It features route-level data loaders and actions, automatic error boundaries, asset and data prefetching, support for edge and server deployments, and progressive enhancement so apps can function even without JavaScript.

Headquarters

Montreal, Quebec, Canada
Ottawa, Ontario, Canada

Website

Pricing

Free version ✔️Open source
EnterpriseCustom
Free ✔️Open source

Categories

Frontend Frameworks › Rank #46
Frontend Frameworks › Rank #16
Backend Frameworks › Rank #62
Backend Frameworks › Rank #24
Data Science › Rank #8

Popularity

Determined by the number of sites using each technology.

The Remix frontend framework is 136 times more popular than Dash.
Total websites

Market share

Frontend Frameworks
Backend Frameworks

Popularity by country

Determined by the number of sites detected from each country.

Remix is more popular than Dash in all countries.
United States
United Kingdom
Germany
Australia
France
Chile
Canada
Japan
Netherlands
India

Awards

Popularity by domain category

Determined by the number of sites in each category.

Remix is more popular than Dash in all market segments.
Online Shopping
Marketing/Merchandising
Business
Fashion/Beauty
Blogs/Wiki
Education/Reference
Internet Services
Software/Hardware
Sports
Games

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#4,065,197
View more ➝
Name
Rank
draftkings.com
#2,101
View more ➝

See also

* According to recent studies, many of online reviews are fake.
When making your decision, it is better to rely on data that cannot be falsified.
Our service evaluates the popularity of technologies by the number of websites using them.

Statistics were last calculated on .
For details, see our methodology and disclaimer.