Journal of Emerging Information Systems and Business Intelligence (JEISBI)
Vol. 6 No. 2 (2025): Vol. 06 Issue 02

Comparative Analysis Of Laravel, Lumen, Guzzle, Leaf, and Slim Framework Performance On Rest API Using One Way Anova

Moch. Faisal (Unknown)
Nuryana, I Kadek Dwi (Unknown)



Article Info

Publish Date
25 Jul 2025

Abstract

The rapid advancement of technology has increased the importance of selecting the right framework for RESTful API development. This study compares the performance of five popular PHP frameworks—Laravel, Lumen, Guzzle, Leaf, and Slim—in terms of response time, CPU usage, memory usage, throughput, and error rate. Using Apache JMeter as the testing tool, load testing was conducted across various endpoints with simulated virtual users (up to 75 users). The methodology involved designing a RESTful API with a PostgreSQL database, implementing it using the five frameworks, and performing load tests to measure the defined performance parameters. Statistical analysis using One-Way ANOVA was conducted to determine significant performance differences among the frameworks. The results indicate that each framework has distinct strengths and weaknesses under specific conditions. Frameworks like Lumen and Guzzle demonstrated superior performance in terms of response time and CPU usage, while Slim performed better with higher throughput under certain scenarios. These findings provide critical insights for developers and decision-makers in selecting the most efficient framework based on project requirements. Keyword: RESTful API, PHP frameworks, performance analysis, load testing, Apache JMeter, One-Way ANOVA.

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Journal Info

Abbrev

JEISBI

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Languange, Linguistic, Communication & Media Library & Information Science

Description

Journal of Emerging Information Systems and Business Intelligence (JEISBI) aims to provide scholarly literature focused on studies and research in the fields of Information Systems (IS) and Business Intelligence (BI). This journal also includes public reviews on the development of theories, methods, ...