jupyter/jupyter
Jupyter
Jupyter is an interactive computing platform and data science workspace designed for creating documents that combine live code, equations, visualizations, and narrative text. It provides a polyglot notebook interface that connects a frontend user interface to various backend language engines through a standardized kernel protocol for real-time code evaluation.
The system enables polyglot programming workflows, allowing multiple different programming languages to run within a single interface. It supports computational document authoring and data science exploration by allowing users to execute code in small chunks to visualize data and iterate on hypotheses.
The project includes tools for managing interactive computing environments and simplifying the installation of the required software components. It also incorporates a build pipeline for generating and previewing project documentation via a static site process.
Features
- Interactive Computing Environments - Provides a workspace where live code, equations, and rich media are combined in a single document for analysis.
- Interactive Execution Environments - Connects a frontend user interface to backend language engines for real-time code evaluation and stateful execution.
- Polyglot Development Workflows - Enables running multiple different programming languages within a single interface via specialized compute kernels.
- Interactive Computing Platforms - Provides an environment for creating and sharing documents that contain live code, equations, and visualizations.
- Data Science Workspaces - Provides a toolset for exploratory data analysis and scientific computing using a cell-based document structure.
- Exploratory Data Analysis Workflows - Allows writing and executing code in small chunks to visualize data and iterate on hypotheses without restarting the program.
- Reproducible Research Documents - Combines executable code and narrative text to create reports for reproducible research and technical documentation.
- Notebook Interfaces - Provides a web-based editor supporting multiple programming languages through a standardized kernel protocol.
- Interactive Computing - Interactive environment for data analysis and project documentation.
- Hosted Notebook Platforms - Provides the core repository for managing available programming language kernels.
- Jupyter Ecosystem Tools - Core project for interactive computing and notebook environments.
- Guides and Tutorials - Serves as the primary reference for the ecosystem and kernel specifications.
