JupyterLab Desktop4.6.3-1

Create and work with Jupyter notebooks on a personal computer through JupyterLab Desktop, which brings the JupyterLab interface into a desktop application. It provides a straightforward entry point for notebook-based computing while supporting more advanced workflows. A notebook can combine live code, equations, narrative text, visualizations, interactive dashboards, and other media in one document.

Jupyter supports more than 40 programming languages, including Python, R, Julia, and Scala. Computational kernels run code in the selected language and return results while also supporting features such as tab completion and code introspection. Results can include HTML, images, video, LaTeX, and custom MIME types, while tools such as Apache Spark, pandas, scikit-learn, ggplot2, and TensorFlow support data analysis and machine learning. Notebook files use JSON to preserve code, prose, equations, and rich output, and can be shared through email, Dropbox, GitHub, or Jupyter Notebook Viewer.

It suits developers, researchers, students, and data professionals who need executable documents for experimentation, analysis, teaching, or reproducible reports. JupyterLab Desktop runs on Linux with snapd and targets x86_64 (amd64) systems. The Jupyter Project publishes version 4.6.3-1 as open-source software.