Carnets - Jupyter

Carnets - Jupyter

Carnets is an open-source web application based on Jupyter notebooks for data analysis and computing. It offers an interactive interface to create and share documents combining code, output, visualizations, and text.
Carnets - Jupyter image
jupyter python data-analysis

Jupyter: Data Analysis and Computing

Carnets is an open-source web application based on Jupyter notebooks for data analysis and computing. It offers an interactive interface to create and share documents combining code, output, visualizations, and text.

What is Carnets - Jupyter?

Carnets is an open-source web application powered by the Jupyter ecosystem for interactive computing and data analysis. It allows users to create sharable computational notebooks that contain live code, equations, visualizations and narrative text. Carnets provides a rich graphical interface with features like notebook versioning, table of contents, LaTeX equations support, code completion and more.

Some key features of Carnets include:

  • Run Python, R and other Jupyter kernels to execute code and see results inline
  • Generate plots, maps, figures seamlessly alongside explanations
  • Share finished notebooks publicly or with collaborators
  • Notebook versioning system to track changes
  • Table of contents and section labeling for easy navigation
  • Mix text with code, output and media flexibly in markdown cells
  • LaTeX math equations and ASCII art diagrams support
  • Code completion, tooltips and keyboard shortcuts
  • Authentication, access controls and content privacy
  • Available as a web service or self-hosted solution

As an actively developed Jupyter-based environment, Carnets is well-suited for reproducible academic computing, data journalism, publishing computational essays, creating documentation with executable code examples or building dashboards and reports. It provides a full-featured notebook interface without the command line complexities of Jupyter itself.

Carnets - Jupyter Features

Features

  1. Interactive Jupyter notebooks
  2. Real-time collaboration
  3. Markdown support
  4. LaTeX support
  5. Version control integration
  6. Shareable and exportable notebooks
  7. Customizable themes
  8. Extensions support

Pricing

  • Open Source

Pros

Powerful Jupyter notebook interface

Collaboration features

Open source and free

Easy to use and share notebooks

Supports many languages and libraries

Cons

Limited compared to full Jupyter notebook installs

Collaboration requires user accounts

Less customization than Jupyter

Requires hosting and some setup


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