Hugging Face

New York, United States

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

According to our data, Hugging Face is the most popular data science technology on the web.
It has 44.2% of the data science market share and is detected on 0.007% of all websites.

πŸ“Š Rankings and Market Share

πŸ† Hugging Face Awards

⚑ Sites Using Hugging Face

We have data on 240 websites that use Hugging Face data science technology. Here is a list of some of the top ranked ones.

The highest rated site using Hugging Face is fal.ai.

πŸ“ˆ Usage Statistics

Most of the sites that use Hugging Face:

Most of the sites using Hugging Face are from the United States, China, and France.

  • United States 31.2%
  • China 10.6%
  • France 7.8%
  • Vietnam 7.1%
  • Japan 5%
  • Korea 4.3%
  • Germany 3.5%
  • Brazil 2.8%
  • Netherlands 2.8%
  • Other 24.9%

Most Hugging Face users speak English, Chinese, or Vietnamese.

  • English 75.7%
  • Chinese 5.4%
  • Vietnamese 4.6%
  • Spanish 2.5%
  • Japanese 1.7%
  • Portuguese 1.7%
  • Korean 1.7%
  • French 1.3%
  • German 0.8%
  • Other 4.6%

Hugging Face data science technology is especially popular on .com, .ai, and .org top-level domains.

  • .com 39.2%
  • .ai 17.9%
  • .org 8.3%
  • .io 4.6%
  • .net 3.3%
  • .me 2.9%
  • .cn 2.5%
  • .fr 1.3%
  • .space 1.3%
  • Other 18.7%

The primary market segments for websites utilizing Hugging Face include business, blogs and wiki, and technical information.

  • Business 30.2%
  • Blogs/Wiki 11.6%
  • Technical Information 9.3%
  • Internet Services 7%
  • Technical/Business Forums 7%
  • Finance/Banking 4.7%
  • Job Search 2.3%
  • Education/Reference 2.3%
  • Entertainment 2.3%
  • Other 23.3%

πŸ•΅οΈ Similar Technologies

These are some of the best Hugging Face alternatives.

RankName
2
Quarto
Boston, Massachusetts, United States

An open-source scientific and technical publishing system based on Markdown that allows users to write in plain-text Markdown or work with Jupyter notebooks and embed executable code in Python, R, Julia, or Observable JS.

FreeOpen source
3
Jupyter Notebook

A web application that allows you to execute code, visualize its output (such as plots, images, tables, etc.), and write explanations - all in a single notebook file.

4
Google Colab
Mountain View, California, United States

A free Jupyter Notebook hosted environment from Google.

5
Kaggle
Mountain View, California, United States

A platform for data science and machine learning that offers a variety of resources, including datasets, code repositories, and tools for building and deploying machine learning models.

6
Streamlit
San Francisco, California, United States

An open-source Python framework for data scientists and AI/ML engineers to deliver dynamic data apps with only a few lines of code.

FreeOpen source

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πŸ’¬ Frequently Asked Questions

Where is Hugging Face's headquarters?

Hugging Face is located in New York, United States.

Which country uses Hugging Face the most?

The majority of Hugging Face users are from the United States.

Who uses Hugging Face?

According to our data, Hugging Face is used on hundreds of sites, including such established ones as fal.ai, chai-research.com, and publicissapient.com.

How does Hugging Face compare to its competitors?

Hugging Face is the most popular data science technology on the market, surpassing all others.

What are the alternatives to Hugging Face?

Alternatives and possible competitors to Hugging Face may include Kaggle, Streamlit, and Google Colab.

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