How can characteristics of different algorithms be analyzed and compared?

Characteristics of different algorithms can be analyzed and compared using various criteria such as time complexity, space complexity, and scalability. Performance metrics like accuracy, efficiency, and robustness also provide insights into how algorithms behave under different conditions. Additionally, empirical testing through benchmarking on standard datasets can reveal practical differences in speed and resource usage. Visualization tools can help in comparing algorithm performance across diverse scenariOS, highlighting their strengths and weaknesses.