⚡ Data Science in the United States

Data science platforms and tools help users build, test, and share data models, visualizations, and experiments.

The United States of America (USA) is a North American country with a population of over 341 million people.

According to our data, data science technologies are detected on 0.02% of websites from the United States.

⭐ Most Popular in 2026

The following chart shows the top data science technologies on websites in the United States in 2026, based on market share.

The most popular is Hugging Face with an impressive share of 41.9%, followed by Quarto with 24.8% and Jupyter Notebook with 13.3%.

🚀 Highlights

Here is a list of the top technologies that are more popular in the United States than worldwide.
Differences between global and country rankings are shown in parentheses.

✨ Best Data Science Technologies

Below is a more detailed list of 7 data science technologies used on sites from the United States, ranked by their market share.

RankNameMarket share
1
Hugging Face
New York, United States

A machine learning and data science platform and community that helps users build, deploy and train machine learning models.

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
Anvil
Cambridge, United Kingdom

A platform for building full-stack data applications for the web in Python.

Free$15+/month
7
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

👉 See Also

Data is based on the analysis of 545,779 websites from the United States.
Statistics were last calculated on .
For details, see our methodology and disclaimer.