  VarStar Detect is a Python package available on PyPI optimized for the
detection of variability inside photometric measurements. Based off of the
Least Squares method of regression, VarStar Detect calculates the amplitude of
a Fourier Polynomial fit of the data as a measure of variability to assess if
the star is indeed variable. This work shows the mathematical background of the
package and an analysis of the code's functionality on TESS Sector 1 Data.
