There are 3 repositories under variable-stars topic.
Python modules for light curve work and variable star astronomy
MiraPy: A Python package for Deep Learning in Astronomy
Astronomical data platform for the Zwicky Transient Facility.
Open, versioned taxonomy for astronomical time-series sources
A set of tools for photometric analysis. Determines the period of short-period variable stars.
Eclipsing binary star research package to efficiently analyze eclipsing binary systems.
The Light Curve Collection Server framework
Using VaST and astropy to measure lightcurves of known and unknown variable stars
This repository contains all the code (in the form of Jupyter Notebooks) to reproduce the results in our paper, "Light Curve Classification with DistClassiPy: a new distance-based classifier"
Variable Stars Classification by their light curves.
lcplot – a lightweigth program for plotting light curves of variable stars using AAVSO data
Python code for working with light curves of variable stars
Two Color Photometry using Photutils.psf (model fitting photometry)
Non Uniform Discrete Fourier Transform applied to OGLE-III Type 1 Cepheid photometry database.
Light curve plotter in Python - visualizes TESS, Kepler etc. data from FITS files.
This is a basic tutorial in data processing with TOPCAT
Automated Classification of Periodic Variable Stars Using Machine Learning
Non Uniform Discrete Fourier Transform applied to OGLE-III Type 1 Cepheid photometry database.
Fortran code that fits a third-order spline through noisy data; based on Reinsch (1967)
Analysis-of-variance time-series analysis based on the method of Schwarzenberg-Czerny (1989)