Multi-language interactive computing environments.

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.

Jupyter is a tool in the Data Science Notebooks category of a tech stack.

Jupyter is an open source tool with 5.71K Github Stars and 2.44K Github Forks. Hereā€™s a link to Jupyter's open source repository on Github

Who Uses Jupyter?

64 companies use Jupyter including SendGrid, Policygenius, and Checkr.

Jupyter integrates with

Python, Kubeflow, Polyaxon, Plotly, and GradientĀ° are some of the popular tools that integrate with Jupyter. Here's a list of all 6 tools that integrate with Jupyter.

Why people like Jupyter

Hereā€™s a list of reasons why companies and developers use Jupyter.

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Here are some stack decisions and reviews by companies and developers who chose Jupyter in their tech stack.

Mark Melnykowycz
Mark Melnykowycz
Artist - Scientist - Wearable Computing at idezo GmbH Ā· | 1 upvotes Ā· 11 views

When integrated with cloud platforms it's an easy way to code and test data science projects. The web-based nature makes it easy to transition between coding on your local machine or the cloud. Jupyter

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EECS 445 and MDST

Used it for that sometimes mostly I tried to use it for something I was doing in MDST. I have failed to actually properly use it to it's full potential. Jupyter

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Jupyter's alternatives

  • Apache Zeppelin - A web-based notebook that enables interactive data analytics
  • Franchise - An Open-Source SQL Notebook

See all alternatives to Jupyter