Comparative analysis of frameworks using TypeScript to build server applications
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Issue Vol. 23 (2022)
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Comparative analysis of selected programming frameworks of Java-based web applications
66-70
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Preferences of modern mobile app users
71-76
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Web application performance analysis using Angular, React and Vue.js frameworks
77-83
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Comparative analysis of software for smart homes
84-88
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Comparative analysis of message brokers
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Comparison of virtualization methods at operating system level
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Detrimental Starfish Detection on Embedded System: A Case Study of YOLOv5 Deep Learning Algorithm and TensorFlow Lite framework
105-111
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An Analysis of the Knowledge about the Aspects of Cybersecurity and Two-Factor Logging in the Society
112-117
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Analysis of the application of brain-computer interfaces of a selected paradigm in everyday life
118-122
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Performance Comparison of Unit Test Isolation Frameworks
123-127
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Comparative analysis of frameworks using TypeScript to build server applications
128-134
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C++ and Java performance on the Android platform
135-139
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A Novel Inconsequential Encryption Algorithm for Big Data in Cloud Computing
140-144
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Comparison of LeNet-5, AlexNet and GoogLeNet models in handwriting recognition
145-151
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Comparative study of scaling parameters and research output of selected highly- and moderately-cited individual authors
152-164
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Analysis of the performance of iOS applications developed using native and cross-platform technology.
165-171
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Abstract
The subject of the research was a comparative analysis of programming frameworks that are intended for building applications. NestJS (version 8.1.1), FoalTS (version 2.5.0) and Ts.ED (version 6.69.1) were put together. An experiment was prepared based on scenarios that focused on the response time of applications to requests. Each of them had the same set of functionalities. NestJS turned out to be the most efficient of the compared skeletons. It achieved the best results. The worst results in each scenario were achieved by Ts.ED, especially with higher loads. The biggest differences in the comparison can be seen in studies conducted according to a scenario based on GET-type requests, and in particular with more objects in response.
