RedNoiseFALs calculates red-noise-based false alarm levels for Lomb–Scargle periodograms of unevenly sampled astrophysical time series. The Python package provides a core module and example Jupyter notebooks that demonstrate how to compute and interpret frequency-dependent false alarm thresholds for specific data sets. Users import the module from the source directory and can adapt the notebook workflows to apply the method to their own time series.