Is open-source software overrated in cutting-edge research?

10 Tem 14:45

Open-source tools dominate research workflows, but are there cases where proprietary options still hold an edge? For instance, when pushing the limits of performance in niche simulations or when dealing with ultra-sensitive data, do closed-source solutions ever justify their cost? Some argue that open tools encourage collaboration and reproducibility, while others claim proprietary software offers better optimization for specific high-end use cases. Where do you draw the line between academic rigor and practical efficiency?