Table 1.

Currently available software packages for rhythmicity detection and analysis based on cosinor method and its extensions

Package	Language	Differential rhythmicity	Linear regression	Non-linear regression	Multiple components	Count data	Population-mean	Design of experiments	References
CosinorPy	Python	Yes	Yes	Yes	Yes	Yes	Yes	Yes
Cosinor	R	Yes	Yes	No	No	No	No	No	[16]
Cosinor2	R	Yes	Yes	No	No	No	Yes	No	[17]
DiscoRhythm	R	No	Yes	No	No	No	No	No	[18]
LimoRhyde	R	Yes	Yes	No	No	No	No	No	[22]
CircaCompare	R	Yes	No	Yes	No	No	No	No	[23]

Package: package name; language: the programming language that is used in a combination with a specific package; differential rhythmicity: support for the assessment of a differential rhythmicity among two groups of measurement; linear regression and non-linear regression: what kind of regression the package supports; multiple components: support for multi-component cosinor analysis; count data: support for count data analysis; population-mean: support for population-mean cosinor analysis; design of experiments: support for design of experiments to approximate the minimal number of required samples; reference: reference to the package