Performance analysis of React v. 18.1.0 and Angular v. 11.0.2 development frameworks Analiza wydajności szkieletów programistycznych React v. 18.1.0 i Angular v. 11.0.2
Article Sidebar
Open full text
Issue Vol. 29 (2023)
-
Performance analysis of web applications created in the Spring and Laravel frameworks
Jakub Suchanowski, Małgorzata Plechawska-Wójcik304-311
-
Comparative Analysis of Selected Game Engines
Bartłomiej Szabat, Małgorzata Plechawska-Wójcik312-316
-
Video game performance analysis on selected operating systems
Agata Wrześniewska, Maria Skublewska-Paszkowska317-324
-
Analysis of the ergonomics of interfaces of popular e-marketing tools
Weronika Studzińska325-332
-
Research on User Experience during Interactions with Mobile Applications for Diabetics
Przemysław Bajda, Rafał Baliński, Mariusz Dzieńkowski333-340
-
Performance analysis of React v. 18.1.0 and Angular v. 11.0.2 development frameworks
Analiza wydajności szkieletów programistycznych React v. 18.1.0 i Angular v. 11.0.2Albert Poniedziałek, Beata Pańczyk341-345 -
A comparative analysis of the Flutter and React Native frameworks
Mateusz Markowski, Jakub Smołka346-351
-
Performance analysis of REST API technologies using Spring and Express.js examples
Maciej Wicha, Beata Pańczyk352-359
-
A performance analysis of a cloud database on mobile devices
Sylwester Kot, Jakub Smołka360-365
-
Face Recognition using Deep Learning and TensorFlow framework
Makrem Beldi366-373
-
Comparison of tools for creating and conducting automated tests
Grzegorz Wojciech Bielesza, Mariusz Dzieńkowski374-382
-
Comparison of application container orchestration platforms
Adam Pankowski, Paweł Powroźnik383-390
-
A study of the user experience while working with mobile applications cooperating with sports bands
Szymon Czopek, Mariusz Dzieńkowski391-398
-
Comparison of Machine Learning Algorithms on Classification of Covid-19 Cough Sounds Using MFCC Extraction
Mohammad Reza Faisal, Muhammad Thoriq Hidayat, Dwi Kartini, Fatma Indriani, Irwan Budiman, Triando Hamonangan Saragih399-404
-
Comparative analysis of package managers Flatpak and Snap used for open-source software distribution
Grzegorz Jan Cichocki, Sławomir Wojciech Przyłucki405-412
-
Analysis of the impact of using containerization techniques on application performance in Python
Kacper Chołody, Sławomir Przyłucki413-420
Main Article Content
DOI
Authors
albert.poniedzialek@pollub.edu.pl
Abstract
This paper presents the results of the comparative analysis of the two JavaScript frameworks. The research was carried out using test applications with the same functionalities, implemented in both environments. The number of bytes occupied by both projects, the number of lines of code, the average RAM consumption and the time efficiency were used as criteria for comparison. Automatic load tests and technical analysis of both environments were performed. The results showed that React is able to better handle a large amount of data (around 100 000 records), while for small data sets oscillating around 1000 records, no significant differences in both application performance were demonstrated. For a medium number of records (10000), React proved to be more efficient.
Keywords:
References
Statystyki popularności JavaScript 2022, https://2022.stateofjs.com/en-US/, [20.05.2023].
R. Nowacki, M. Plechawska-Wójcik, Analiza porównaw-cza narzędzi do budowania aplikacji Single Page Appli-cation – AngularJS, ReactJS, Ember.js, Journal of Com-puter Sciences Institute 2 (2016) 98-103, https://doi.org/10.35784/jcsi.122. DOI: https://doi.org/10.35784/jcsi.122
W. Stępniak, Z. Nowak, Performance analysis of SPA web systems, Advances in Intelligent Systems and Com-puting 521 (2017) 235-247, https://doi.org/10.1007/978-3-319-46583-8_19. DOI: https://doi.org/10.1007/978-3-319-46583-8_19
A. Kumar, R. K. Singh, Comparative Analysis of Angu-larJS and ReactJS, International Journal of Latest Trends in Engineering and Technology 7 (2016) 225-227, https://doi.org/10.21172/1.74.030. DOI: https://doi.org/10.21172/1.74.030
M. Kaluža, K. Troskot, B. Vukelić, Comparison of front-end frameworks for web applications development, Zbornik Veleučilišta u Rijeci 6 (2018) 261-282, https://doi.org/10.31784/zvr.6.1.19. DOI: https://doi.org/10.31784/zvr.6.1.19
R. Ollila, N. Mäkitalo, T. Mikkonen, Modern Web Fra-meworks: A Comparison of Rendering Performance, Jo-urnal of Web Engineering 21(03) (2022) 789–814, https://doi.org/10.13052/jwe1540-9589.21311. DOI: https://doi.org/10.13052/jwe1540-9589.21311
Strona główna biblioteki fakerjs, https://fakerjs.dev/, [08.06.2023].
Article Details
Abstract views: 317
License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
