Jupyter Notebooks have been rapidly adopted by researchers across disciplines to perform scientific computing using its interactive and versatile data exploration and analysis capabilities. Furthermore, running Jupyter Notebooks in standalone web application mode has emerged as a fast and more sustainable way for researchers to develop and share scientific applications using a familiar programming language and development environment. However, significant challenges still exist in developing robust and user-friendly scientific applications using Jupyter Notebook due to development complexity and user interface limitations. This paper introduces Japper, a comprehensive Jupyter-based scientific web application development framework. Japper consists of a core toolkit, established best practices, and architectural patterns specifically tailored for the Jupyter ecosystem. It simplifies project initiation and expedites development workflows by providing intuitive interfaces, advanced front-end customization features, and streamlined deployment. Japper has been used in developing several scientific web applications in diverse fields. Two examples are described here to demonstrate its potential as a broadly applicable and effective application development framework.
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Kim et al. (2024) studied this question.
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