Jupyter

830
703
+ 1
26
Apache Zeppelin

132
183
+ 1
21
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Jupyter vs Apache Zeppelin: What are the differences?

Developers describe Jupyter as "Multi-language interactive computing environments". The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media. On the other hand, Apache Zeppelin is detailed as "A web-based notebook that enables interactive data analytics". A web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala and more.

Jupyter and Apache Zeppelin can be primarily classified as "Data Science Notebooks" tools.

Jupyter and Apache Zeppelin are both open source tools. It seems that Jupyter with 5.99K GitHub stars and 2.54K forks on GitHub has more adoption than Apache Zeppelin with 4.23K GitHub stars and 2.1K GitHub forks.

Intuit, Checkr, and Policygenius are some of the popular companies that use Jupyter, whereas Apache Zeppelin is used by Contently, NBT Inc., and Badgeville. Jupyter has a broader approval, being mentioned in 76 company stacks & 40 developers stacks; compared to Apache Zeppelin, which is listed in 20 company stacks and 6 developer stacks.

Pros of Jupyter
Pros of Apache Zeppelin

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What is Jupyter?

The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.

What is Apache Zeppelin?

A web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala and more.
What companies use Jupyter?
What companies use Apache Zeppelin?

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What tools integrate with Jupyter?
What tools integrate with Apache Zeppelin?

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What are some alternatives to Jupyter and Apache Zeppelin?
PyCharm
PyCharm’s smart code editor provides first-class support for Python, JavaScript, CoffeeScript, TypeScript, CSS, popular template languages and more. Take advantage of language-aware code completion, error detection, and on-the-fly code fixes!
IPython
It provides a rich architecture for interactive computing with a powerful interactive shell, a kernel for Jupyter. It has a support for interactive data visualization and use of GUI toolkits. Flexible, embeddable interpreters to load into your own projects. Easy to use, high performance tools for parallel computing.
Spyder
It is a powerful scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts.
Anaconda
A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda.
RStudio
An integrated development environment for R, with a console, syntax-highlighting editor that supports direct code execution. Publish and distribute data products across your organization. One button deployment of Shiny applications, R Markdown reports, Jupyter Notebooks, and more. Collections of R functions, data, and compiled code in a well-defined format. You can expand the types of analyses you do by adding packages.
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