Fluorescence fluctuation-based super-resolution nanoscopy has the imaging advantages of fast imaging, high spatial resolution, low system cost and low phototoxicity, and exhibits broad prospects in imaging and monitoring of biological subcellular structures and dynamics. In recent years, based on fluorescence intermittency of fluorophores, a variety of image reconstruction algorithms have been developed to realize fluorescence fluctuation-based super-resolution imaging. These algorithms can achieve significant resolution enhancement of optical imaging without any hardware modification of conventional fluorescence microscope, and can break the optical diffraction limit. From the perspectives of reconstruction algorithms, imaging speed, resolution improvement and image quality, we analyze and compare the differences and application scopes of multiple types of fluctuation-based nanoscopy, which provides reference on optimal super-resolution techniques selection for researchers in life sciences to investigate specific biological issues.