Framework-Agnostic JavaScript Component Libraries: Benefits, Implementation Strategies, and Commercialization Models

This study explores the edges, implementation processes, and commercialization standards for framework-agnostic JavaScript element libraries, concentrating on their role in making cross-framework compatible UI elements. Framework-agnostic component libraries offer an user-friendly solution that encourages programmers to create reusable components such as selectors, buttons, and input fields, that can be simply integrated across different frameworks, including Vue, Angular, and React. By consolidating elementary UI components into a single, versatile library, these libraries enhance styling consistency, facilitate development workflows, and minimize monotony and maintenance steps. Key benefits include enhanced cross-framework compatibility, reusability and consistency, lowered development overhead, and simplified maintenance, making these libraries necessary for scalable application development. The experiments provide realistic implementation techniques, such as employing JavaScript with React and the Module Federation library, segregating element logic from presentation, and preserving a constant API layout to increase usability and flexibility. Furthermore, this study surveys diverse commercial models and provides insights into how framework-independent element libraries can assemble for individual programmers and enterprises within the JavaScript ecosystem. Via these prototypes and practices, we demonstrate how these libraries allow efficient, scalable development and promote a cohesive design for UI management across diverse frontend frameworks.

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Publication Details

Published
2024-12-22
DOI
https://doi.org/10.1109/cicn63059.2024.10847515
Citations
3
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
1.05
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article

Framework-Agnostic JavaScript Component Libraries: Benefits, Implementation Strategies, and Commercialization Models

Parag Ravikant Kaveri, Kishan Kesari Gupta, Prashant Awasthi, Mahaboobsubani Shaik
3 citations
Distributed and Parallel Computing Systems
1.05
article

Framework-Agnostic JavaScript Component Libraries: Benefits, Implementation Strategies, and Commercialization Models

Parag Ravikant Kaveri, Kishan Kesari Gupta, Prashant Awasthi, Mahaboobsubani Shaik
article en
3 citations

Abstract

This study explores the edges, implementation processes, and commercialization standards for framework-agnostic JavaScript element libraries, concentrating on their role in making cross-framework compatible UI elements. Framework-agnostic component libraries offer an user-friendly solution that encourages programmers to create reusable components such as selectors, buttons, and input fields, that can be simply integrated across different frameworks, including Vue, Angular, and React. By consolidating elementary UI components into a single, versatile library, these libraries enhance styling consistency, facilitate development workflows, and minimize monotony and maintenance steps. Key benefits include enhanced cross-framework compatibility, reusability and consistency, lowered development overhead, and simplified maintenance, making these libraries necessary for scalable application development. The experiments provide realistic implementation techniques, such as employing JavaScript with React and the Module Federation library, segregating element logic from presentation, and preserving a constant API layout to increase usability and flexibility. Furthermore, this study surveys diverse commercial models and provides insights into how framework-independent element libraries can assemble for individual programmers and enterprises within the JavaScript ecosystem. Via these prototypes and practices, we demonstrate how these libraries allow efficient, scalable development and promote a cohesive design for UI management across diverse frontend frameworks.

Symbiosis International University (IN), Accenture (United States) (US)
Openalex Percentile: Top 20%
Distributed and Parallel Computing Systems
1.05
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