🆚 Dash vs. Hugging Face

Compare technologies based on real-world usage data *

Type

Frontend framework
Data science technology

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.

Hugging Face is a machine learning and data science platform and community that helps users build, deploy and train machine learning models.

Headquarters

Montreal, Quebec, Canada
New York, United States

Website

Pricing

Free version ✔️Open source
EnterpriseCustom

Categories

Frontend Frameworks › Rank #46
Backend Frameworks › Rank #62
Data Science › Rank #8
Data Science › Rank #1
Social Media › Rank #63

Popularity

Determined by the number of sites using each technology.

Hugging Face data science technology is 30 times more popular than Dash.
Total websites

Market share

Data Science

Popularity by country

Determined by the number of sites detected from each country.

Hugging Face is more popular than Dash in all countries.
United States
China
France
Vietnam
Japan
Korea
Netherlands
United Kingdom
Germany
Canada

Awards

Popularity by domain category

Determined by the number of sites in each category.

Hugging Face is more popular than Dash in all market segments.
Business
Blogs/Wiki
Technical Information
Internet Services
Technical/Business Forums
Education/Reference
Finance/Banking
Portal Sites
Job Search
Entertainment

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#4,065,197
View more ➝
Name
Rank
#13,846
#53,987
#56,553
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.