Weighted Wavelet Z-Transform Code for Python

Compute Lomb-Scargle periodogram, suitable for unevenly sampled data. It supports multi-threading

NlogN algorithm for least-squares fitting of periodic templates to noisy, non-equispaced time-series data.

Python library for fast time-series analysis on CUDA GPUs

Least-squares (sparse) spectral estimation and (sparse) LPV spectral decomposition.

A fast Lomb-Scargle periodogram. It's nifty, and uses a NUFFT!

An implementation of the Bayesian Generalized Lomb Scargle periodogram as described by Mortier et al. 2015

Musical key detection library & Bachelor thesis on key detection

Gaia AGN Survey of Periodic variability

Lomb Scargle Periodogram of Solar neutrino fluxes observed by Super-K: https://arxiv.org/abs/2402.11258

Non-parametric Lomb Scargle

Curvature Reconstruction and Path Length Estimation from Sparse Data.

This is a toolbox written in Mathematica, providing basic tools to analyse light curve data from surveys.

Tumbler light curve analysis