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Pros of Jupyter
Pros of Streamlit
  • 14
    In-line code execution using blocks
  • 8
    In-line graphing support
  • 5
    Multiple kernel support
  • 5
    Can be themed
  • 3
    Best web-browser IDE for Python
  • 3
    Export to python code
  • 2
    LaTex Support
  • 1
    Multi-user with Kubernetes
  • 1
    HTML export capability
  • 4
    Fast development

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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 Streamlit?

It is the app framework specifically for Machine Learning and Data Science teams. You can rapidly build the tools you need. Build apps in a dozen lines of Python with a simple API.

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What companies use Jupyter?
What companies use Streamlit?
See which teams inside your own company are using Jupyter or Streamlit.
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What tools integrate with Jupyter?
What tools integrate with Streamlit?

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What are some alternatives to Jupyter and Streamlit?
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.
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!
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.
It is a powerful scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts.
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.
See all alternatives
How developers use Jupyter and Streamlit
Mark Melnykowycz uses

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.

GadgetSteve uses

Code and results + Markdown all in a shareable web page.