variable-stars

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.

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

Eclipsing binary star research package to efficiently analyze eclipsing binary systems.

Open, versioned taxonomy for astronomical time-series sources

A set of tools for photometric analysis. Determines the period of short-period variable stars.

SeeVar inspired by seestar_alp

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"

Multi Color PSF Photometry using Photutils.psf (model fitting photometry)

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

Variable Stars Classification by their light curves.

Photometry scripts based on FITSH package

Non-parametric Lomb Scargle

Python code for working with light curves of variable stars

Variable star photometry with Seestar - fork of @edjuh's seevar

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

Machine Learning based variable star classification with Rubin Observatory Data Preview 1 with outputs including ranked candidate variable stars, diagnostic plots, and reproducible analysis notebooks.