🆚 Jupyter Notebook vs. Kaggle
- 📈 Jupyter Notebook is twice as popular as Kaggle.
- 🌎 Jupyter Notebook is more popular in the United States, the United Kingdom, and Germany.
- 🌍 Kaggle is more popular in India, Japan, and Sweden.
Statistics based on 3.3M+ analyzed websites. About this data
Type
Data science technology
Data science technology
About
Jupyter Notebook is 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.
Kaggle is 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.
Headquarters
Mountain View, California, United States
Categories
Popularity
Determined by the number of sites using each technology.
Jupyter Notebook data science technology is 2.1 times more popular than Kaggle.
Total websites
Market share
Data Science
Popularity by country
Determined by the number of sites detected from each country.
Jupyter Notebook is more popular in the United States, the United Kingdom, and Germany, while Kaggle is more popular in India, Japan, and Sweden.
United States
India
United Kingdom
Germany
Japan
Sweden
Australia
France
Vietnam
Iran
Popularity by domain category
Determined by the number of sites in each category.
Jupyter Notebook is more popular than Kaggle in all market segments.
Education/Reference
Technical Information
Blogs/Wiki
Software/Hardware
Personal Pages
Business
Technical/Business Forums
Forum/Bulletin Boards
Games
Top sites
Top-ranked sites that use these technologies.
Compare alternatives
Technologies with similar characteristics.
Hugging Face
Quarto
Google Colab
Streamlit🗃️ 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 3,375,483 websites.
- Statistics were last calculated on .
- For more details, see our methodology and disclaimer.