Companies that use Jupyter

Frequently asked questions

What is the source of this data?

Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.

How often is the data updated?

We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.

What is Jupyter?

Jupyter is an open-source web application that allows users to create and share documents that contain live code, equations, visualizations, and narrative text. It is widely used in data science, scientific computing, and machine learning fields for interactive computing and data analysis. Jupyter supports over 40 programming languages, including Python, R, and Julia, making it a versatile tool for various data-related tasks.

Jupyter falls under the category of Data Science Notebooks, which are interactive computational environments that enable users to write and execute code, visualize data, and share their findings in a single document. These notebooks provide a unified platform for data exploration, model building, and communication of results, enhancing collaboration and reproducibility in data-driven projects.

Jupyter was created in 2014 as a spin-off project from the IPython project by a team of developers led by Fernando Pérez. The motivation behind Jupyter was to provide a more interactive and user-friendly computing environment for scientific and data analysis tasks. Since its inception, Jupyter has gained significant popularity in the data science community and has a strong user base globally.

Currently, Jupyter holds a significant market share in the Data Science Notebooks category due to its robust features, support for multiple programming languages, and active developer community. With the increasing adoption of data science and machine learning in various industries, the demand for interactive computing tools like Jupyter is expected to grow further in the future. As data-driven decision-making becomes more prevalent, Jupyter is likely to maintain its position as a leading technology for interactive data analysis and modeling.

How to get an updated list of companies that use Jupyter?

You can access an updated list of companies using Jupyter by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.

How many customers does Jupyter have?

As of now, we have data on 8,300 companies that use Jupyter.

Who uses Jupyter?

Jupyter is used by a diverse range of organizations across various industries, including "Utilities", "Consumer Services", "It Services And It Consulting", "It Services And It Consulting", "It Services And It Consulting", "Research Services", "Financial Services", "Software Development", "Computer Hardware Manufacturing". For a comprehensive list of all industries utilizing Jupyter, please visit TheirStack.com.

What companies use Jupyter?

Some of the companies that use Jupyter include Octopus Energy, Glovo, GreenPocket GmbH, Ocado Group, Breeze Technologies UG, Oak Ridge National Laboratory, Tenica, Coinbase, Nielsen, NVIDIA and many more. You can find a complete list of 8,300 companies that use Jupyter on TheirStack.com.

In which countries Jupyter is used the most?

Based on our data, Jupyter is most popular in United States (2,948 companies), United Kingdom (542 companies), France (251 companies), Germany (246 companies), Canada (182 companies), Spain (167 companies), India (146 companies), Brazil (104 companies), Netherlands (85 companies), Australia (72 companies). However, it is used by companies all over the world.

How to find companies that use Jupyter?

You can find companies using Jupyter by searching for it on TheirStack.com, We track job postings from millions of companies and use them to discover what technologies and internal tools they are using.