⚡ 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 38.7%, followed by Quarto with 22.6% and Jupyter Notebook with 11.7%.

✨ Best Data Science Technologies

Below is a more detailed list of 8 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 Notebook notebooks and embed executable code in Python, R, Julia, or Observable.

FreeOpen source
3
Jupyter Notebook
San Francisco, California, United States

An open-source web application for creating and sharing interactive documents called notebooks that combine executable code, visualizations, and narrative text.

4
Google Colab
Mountain View, California, United States

A hosted Jupyter Notebook environment from Google for writing Python code in a web browser and executing it in the cloud.

5
Observable
San Francisco, California, United States

A collaborative web-based platform for creating interactive data visualizations, dashboards, and analytical notebooks.

Free$22/editor/month
6
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.

7
Anvil
Cambridge, United Kingdom

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

Free$15+/month
8
Streamlit
San Francisco, California, United States

An open-source Python framework that lets data scientists, engineers, and analysts turn Python scripts into interactive data and machine learning web apps with minimal code.

FreeOpen source$$$

👉 See Also

🗃️ About This Data