⚡ Data Science in Canada

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

Canada is a North American country with a population of over 40 million people.

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

⭐ Most Popular in 2026

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

The most popular is Hugging Face with an impressive share of 41.7%, followed by Quarto with 25% and Jupyter Notebook with 16.7%.

🚀 Highlights

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

✨ Best Data Science Technologies

Below is a more detailed list of 6 data science technologies used on sites from Canada, 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
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
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$$$
5
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.

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.

Free$$$

👉 See Also

🗃️ About This Data