17 open-source projects similar to kracekumar/jut, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Jut alternative.
RISE: "Live" Reveal.js Jupyter/IPython Slideshow Extension
Jupyter Book is a computational book publisher and static site generator that converts Jupyter notebooks and markdown files into interactive web books and publication-quality PDF documents. It serves as a markdown-based documentation tool that executes embedded code at build time and caches the resulting outputs for static display. The system distinguishes itself by supporting interactive data publications, allowing readers to engage with live computational widgets and launch notebooks in remote execution environments. It extends standard markdown with a system of roles and directives to supp
Mercury is a framework for transforming Jupyter notebooks into interactive web applications, a notebook execution API, and a static site generator. It functions as a self-hosted application server that allows users to deploy password-protected notebooks as functional user interfaces without writing frontend code. The system distinguishes itself by mapping notebook widgets to a reactive web interface and synchronizing live application sessions across multiple users in real time. It enables remote execution of notebooks via an API to retrieve computation results as structured data and supports
Jupytext is a synchronization tool and text converter for Jupyter Notebooks. It transforms notebook files into plain text formats, such as Markdown or Python scripts, to enable line-by-line diffs and peer reviews within version control systems. The tool pairs notebook files with corresponding text files to maintain a dual representation of the same content. It uses bidirectional synchronization to update linked files based on the most recent modifications, allowing notebook content to be edited inside standard text editors. Beyond file conversion and synchronization, the project provides cap
Papermill is a Jupyter notebook execution engine and parameterization framework designed to run notebooks programmatically. It allows users to inject custom input values into notebooks to execute the same logic across different datasets, transforming interactive notebooks into reproducible data science pipelines. The project functions as a language-agnostic notebook runner and orchestrator, supporting kernels for Python, R, Julia, and Scala. It is distinguished by its cloud-integrated runner capabilities, featuring built-in handlers to read and write notebooks directly to storage providers su
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