Perfomance analysis of frameworks Angular and Vue.js

Roman Baida

r.baida@pollub.edu.pl
Lublin University of Technology (Ukraine)

Maksym Andriienko


Lublin University of Technology (Ukraine)

Małgorzata Plechawska-Wójcik


Lublin University of Technology (Poland)

Abstract

The aim of the paper is to compare the performance of popular JavaScript frameworks Angular and Vue.js in the context of game development. The comparative criteria are as follows: time of data exchanging with server and rendering of various application components, memory consumption during refreshing the current game information and restoring the user to the current game, browser load level and size of the final application files. The test results show that the Vue.js framework is more efficient.


Keywords:

Angular; Vue; performance analysis; browser game

[1] https://fructcode.com/ru/blog/features-of-popular-frameworks-html-css-php-and-python-frameworks/, Framework — ważne narzędzie programistyczne, [24.07.2019]
[2] https://divante.com/blog/top-10-popular-javascript-frameworks-2019/, Top 10 most popular JavaScript frameworks in 2019, [24.07.2019]
[3] https://en.wikipedia.org/wiki/Vue.js, Vue.js, [27.07.2019]
[4] Svensson A.: Speed Performance Comparison of JavaScript MVC Frameworks. Blekinge Institute of Technology, 2015
[5] Petukhova E.: Sitecore JavaScript Services Framework Comparison. Åbo Akademi University, 2019
[6] Kaluža M., Troskot K., Vukelić B.: Comparison of front-end frameworks for web applications development. Zbornik Veleučilišta u Rijeci, 2018
[7] Seshadri S.: Angular: Up and Running: Learning Angular, Step by Step. O'Reilly Media, 2018
[8] https://habr.com/ru/post/320014/, AngularJS vs Angular, [25.07.2019]
[9] Wilken J.: Angular in Action. Manning Publications, 2018
[10] https://developers.google.com/web/tools/chrome-devtools, Chrome Dev Tools, [12.08.2019]
Download


Published
2020-03-30

Cited by

Baida, R., Andriienko, M., & Plechawska-Wójcik, M. (2020). Perfomance analysis of frameworks Angular and Vue.js. Journal of Computer Sciences Institute, 14, 59–64. https://doi.org/10.35784/jcsi.1577

Authors

Roman Baida 
r.baida@pollub.edu.pl
Lublin University of Technology Ukraine

Authors

Maksym Andriienko 

Lublin University of Technology Ukraine

Authors

Małgorzata Plechawska-Wójcik 

Lublin University of Technology Poland

Statistics

Abstract views: 1932
PDF downloads: 1840