Collaborative platform for time-domain astronomy

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

VStar is a visualisation and analysis tool for variable star data brought to you by AAVSO

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

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"

Using VaST and astropy to measure lightcurves of known and unknown variable stars

Non-parametric Lomb Scargle

Variable Stars Classification by their light curves.

Non Uniform Discrete Fourier Transform applied to OGLE-III Type 1 Cepheid photometry database.

lcplot – a lightweigth program for plotting light curves of variable stars using AAVSO data

Two Color Photometry using Photutils.psf (model fitting photometry)

Python code for working with light curves of variable stars

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)

Python Example Code to use the lightkurve lib to analyse variable stars