⚡ Data Science

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

They often include features such as cloud-based coding environments, interactive notebooks, built-in datasets, collaboration tools, and support for machine learning and artificial intelligence workflows.

According to our data, data science technologies are detected on 0.02% of all websites.
97.1% of these sites use only one data science technology, 2.7% use two, and 0.2% use three or more simultaneously.

Statistics based on 3.5M+ analyzed websites. About this data

⭐ Most Popular in 2026

The following chart shows the leading data science technologies on the web in 2026, based on market share.

The most popular is Hugging Face with an impressive share of 41.3%, followed by Quarto with 21.5% and Jupyter Notebook with 11.6%.

Hugging Face 41.3%
Quarto 21.5%
Jupyter Notebook 11.6%
Google Colab 10.6%
Kaggle 5.6%
Anvil 4%
Streamlit 3.7%
Observable 3.2%
Dash 1.5%

You can also drill down by country:

✨ Best Data Science Technologies

Below is a more detailed list of 9 data science technologies we track, ranked by their market share.

Rank	Name	Market 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.	41.3%
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	21.5%
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.	11.6%
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.	10.6%
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.	5.6%
6	Anvil Cambridge, United Kingdom A platform for building full-stack data applications for the web in Python. Free$15+/month	4%
7	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$$$	3.7%
8	Observable San Francisco, California, United States A collaborative web-based platform for creating interactive data visualizations, dashboards, and analytical notebooks. Free$22/editor/month	3.2%
9	Dash Montreal, Quebec, Canada An original low-code framework for rapidly building data applications in Python, built on top of Plotly.js, React, and Flask. FreeOpen source$$$	1.5%

🗃️ About This Data

We evaluate the popularity of technologies based on the number of websites where we detect their usage.
Technologies without a detectable web footprint, and those we do not track, are not reflected in the calculated market share.
This report is based on the analysis of 3,526,619 websites.
We currently track the presence of 9 data science technologies across the web.
Statistics were last calculated on June 1, 2026.
For more details, see our methodology and disclaimer.