🆚 Dash vs. Redwood

Compare technologies based on real-world usage data *

Type

Frontend framework
Backend 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.

Redwood is a full-stack framework for building React-based web applications, integrating React, GraphQL, Prisma, TypeScript, Jest, and Storybook into a cohesive development environment.

It introduces components for declarative data fetching called "Cells", supports both server-side rendering and React Server Components, and offers built-in tools for authentication, testing, and deployment.

Headquarters

Montreal, Quebec, Canada
San Francisco, California, United States

Website

Pricing

Free version ✔️Open source
EnterpriseCustom
Free ✔️Open source

Categories

Frontend Frameworks › Rank #46
Frontend Frameworks › Rank #45
Backend Frameworks › Rank #62
Backend Frameworks › Rank #61
Data Science › Rank #8

Popularity

Determined by the number of sites using each technology.

The Redwood backend framework is 1.1 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.

Redwood is more popular in the United States, while Dash is more popular in Canada.
United States
Canada
Czech Republic
Indonesia
Netherlands
United Kingdom
Philippines
Saint Helena
Sweden

Popularity by domain category

Determined by the number of sites in each category.

Education/Reference
Online Shopping
Public Information
Blogs/Wiki

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#4,065,197
View more ➝
Name
Rank
#1,478,783
#1,725,756
#2,576,826
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.