Evaluating Web Frameworks for Personal Learning Decision-Making: A Comparative Analysis

Nowadays with rapid evolution of World Wide Web, the web frameworks of different programing languages are crucial for development standardization, but the huge type of web frameworks makes challenges for chosen the appropriate one for personal learning therefore, this study evaluates and compare the PhP and Python popular web frameworks in terms of their job market trends, web performances, learning resources and community support.Findings of job market trends shows that PhP web frameworks such as Laravel and Slim are being widespread in Europe region, while the python web frameworks such as Django and Flask are being more widespread in the United States. Whereas the findings of performance testing shows that Laravel outperform better in loading speed comparing to the other web frameworks treated in this study, while Django perform better in visual stability and Flask is better than Slim in responsiveness. As well, the survey findings shows that Online tutorials and ChatGPT are most used learning resources comparing to traditional community forums. These findings offer valuable understanding for developers and students in choosing the appropriate web framework for their personal learning based on job market demands and project requirements and can be used by educators and policymakers in curriculum adaption and teaching strategy to meet the industry needs.Moreover, this study contributes to a deeper understanding of Laravel, Django, Slim and Flask framework adoption in professional and academic settings considering the gap in the literature regarding the comparison of frameworks especially for performances, learning resources and job market trends.

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Publication Details

Journal
International Journal of Computational and Experimental Science and Engineering
Published
2025-05-15
DOI
https://doi.org/10.22399/ijcesen.1845
Citations
2
Primary Topic
Knowledge Management and Sharing
Type
article
Field-Weighted Citation Impact
7.73
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article

Evaluating Web Frameworks for Personal Learning Decision-Making: A Comparative Analysis

Lindita Nebiu Hyseni, Artan Dermaku, Zamir Dika
2 citations
International Journal of Computational and Experimental Science and Engineering
Knowledge Management and Sharing
7.73
article

Evaluating Web Frameworks for Personal Learning Decision-Making: A Comparative Analysis

Lindita Nebiu Hyseni, Artan Dermaku, Zamir Dika
article en
2 citations

Abstract

Nowadays with rapid evolution of World Wide Web, the web frameworks of different programing languages are crucial for development standardization, but the huge type of web frameworks makes challenges for chosen the appropriate one for personal learning therefore, this study evaluates and compare the PhP and Python popular web frameworks in terms of their job market trends, web performances, learning resources and community support.Findings of job market trends shows that PhP web frameworks such as Laravel and Slim are being widespread in Europe region, while the python web frameworks such as Django and Flask are being more widespread in the United States. Whereas the findings of performance testing shows that Laravel outperform better in loading speed comparing to the other web frameworks treated in this study, while Django perform better in visual stability and Flask is better than Slim in responsiveness. As well, the survey findings shows that Online tutorials and ChatGPT are most used learning resources comparing to traditional community forums. These findings offer valuable understanding for developers and students in choosing the appropriate web framework for their personal learning based on job market demands and project requirements and can be used by educators and policymakers in curriculum adaption and teaching strategy to meet the industry needs.Moreover, this study contributes to a deeper understanding of Laravel, Django, Slim and Flask framework adoption in professional and academic settings considering the gap in the literature regarding the comparison of frameworks especially for performances, learning resources and job market trends.

International Journal of Computational and Experimental Science and EngineeringVol. 11(2)
South East European University (MK), University Clinical Center of Kosovo (XK)
Openalex Percentile: Top 4%
Knowledge Management and Sharing
7.73
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Evaluating Web Frameworks for Personal Learning Decision-Making: A Comparative Analysis — Lindita Nebiu Hyseni, Artan Dermaku, et al. · International Journal of Computational and Experimental Science and Engineering (2025) | TGRS Research Map | TGRS