Project Jupyter | Home

October 5-17th

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JupyterLab is a web-based interactive development environment for Jupyter notebooks, code, and data. JupyterLab is flexible: configure and arrange the user interface to support a wide range of workflows in data science, scientific computing, and machine learning. JupyterLab is extensible and modular: write plugins that add new components and integrate with existing ones.

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The Jupyter Notebook

The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.

Jupyter supports over 40 programming languages, including Python, R, Julia, and Scala.

Notebooks can be shared with others using email, Dropbox, GitHub and the Jupyter Notebook Viewer.

Your code can produce rich, interactive output: HTML, images, videos, LaTeX, and custom MIME types.

Leverage big data tools, such as Apache Spark, from Python, R and Scala. Explore that same data with pandas, scikit-learn, ggplot2, TensorFlow.

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Deploy the Jupyter Notebook to thousands of users in your organization on centralized infrastructure on- or off-site.

Use Docker and Kubernetes to scale your deployment, isolate user processes, and simplify software installation.

Deploy the Notebook next to your data to provide unified software management and data access within your organization.

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Communicate your results with Voilà.

Voilà helps you communicate insights, by transforming a Jupyter Notebook into a stand-alone web application you can share. It gives you control over what your readers experience in a secure and customizable interactive dashboard.

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Open Standards for Interactive Computing

The Jupyter Notebook is based on a set of open standards for interactive computing. Think HTML and CSS for interactive computing on the web. These open standards can be leveraged by third party developers to build customized applications with embedded interactive computing.

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The Notebook Document Format

Jupyter Notebooks are an open document format based on JSON. They contain a complete record of the user's sessions and include code, narrative text, equations and rich output.

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The Notebook communicates with computational Kernels using the Interactive Computing Protocol, an open network protocol based on JSON data over ZMQ and WebSockets.

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Kernels are processes that run interactive code in a particular programming language and return output to the user. Kernels also respond to tab completion and introspection requests.

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