Project Jupyter | Home
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 an open-source project that provides interactive computing environments across dozens of programming languages. It is widely used for data analysis, scientific computing, and machine learning, offering a web-based interface for creating and sharing documents that contain live code, equations, visualizations, and narrative text.
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Key Features of the Site
Notebook Interface
A web-based interface for creating and sharing documents that contain live code, equations, visualizations, and narrative text.
Multi-language Support
Supports over 40 programming languages including Python, R, Julia, and Scala.
Interactive Widgets
Allows for the creation of interactive widgets to manipulate and visualize data in real-time.
Data Visualization
Integrated support for a wide range of data visualization libraries and tools.
Collaboration Tools
Facilitates collaboration among users through shared notebooks and version control.
Extensible Architecture
Designed to be extensible, allowing for the addition of new languages, tools, and features.
Cloud Integration
Seamless integration with cloud services for scalable computing and storage.
Educational Resources
Provides extensive educational resources and tutorials for users of all levels.
Community Support
A vibrant community of users and developers contributing to the project and offering support.
Open Source
Completely open-source, encouraging contributions and modifications from the community.
Similar Sites and Competitors to jupyter.org
Additional information
Project Jupyter
Project Jupyter is a non-profit, open-source project, born out of the IPython Project in 2014 as it evolved to support interactive data science and scientific computing across all programming languages.
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.
JupyterLab
JupyterLab is the next-generation web-based user interface for Project Jupyter. It offers all the familiar building blocks of the classic Jupyter Notebook (notebook, terminal, text editor, file browser, rich outputs, etc.) in a flexible and powerful user interface.
JupyterHub
JupyterHub brings the power of notebooks to groups of users. It gives users access to computational environments and resources without burdening the users with installation and maintenance tasks.
Community and Ecosystem
The Jupyter community is vibrant and diverse, with a wide range of contributors from academia, industry, and beyond. The ecosystem around Jupyter includes a variety of extensions, kernels, and tools that enhance its capabilities.
HTTP headers
Security headers report is a very important part of user data protection. Learn more about http headers for jupyter.org