When creating physics simulations, one common issue that arises is the need to visualize the simulation progress and results. With recent advancements in ray tracing this problem has mostly been solved for non real-time applications. However, there still exists a need to find and evaluate real-timerendering options for applications that need to run at interactive frame rates. In this thesis, we look at some rendering frameworks and propose a set off our performance based metrics and one usability metric for evaluating these. In addition to the metrics, we propose a qualitative method for evaluating the realism of simulated scenes rendered using different frameworks. Finally, we select one of the frameworks and use the metrics and the qualitative method proposed to evaluate the overall fit of the framework for the use case of visualizing physics simulations. The results show similar scores for the performance metrics using the new framework as using a previously used reference framework while showing a slight tendency for increased realism in scenes using the new framework.

This bachelor thesis explores the rapidly evolving landscape of JavaScript rendering frameworks, comparing and evaluating Next.js, SvelteKit, and Astro. The motivation behind this investigation is to help determine the most suitable rendering framework for contemporary web developers. To address this problem, a two-pronged methodology was employed: firstly, a survey was conducted to gather insights into web developers' usage of rendering frameworks and their opinions on different aspects of the frameworks; secondly, a controlled experiment was carried out by building web applications using the three frameworks to gather data on their performance, capabilities, and developer experience. The results of the study indicate that all three evaluated frameworks are strong options, but each offers unique advantages and drawbacks that must be considered when motivating a decision between them.