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.

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

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

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

Mira — backyard observing assistant for amateur variable-star photometry. Generates schedules, runs photometry, and submits observations to AAVSO.

This repo holds the code I used during the making of my INSPIRO2.0 project: Follow-up Study of Variable Stars and a Search for Cepheids with the GoChile telescope.

Zero-AI pipeline for mining public ZTF light curves — and an honest field report on why solo variable-star discovery is walled in 2026. Working niche: O-C timing of known eclipsing binaries.

Automated Classification of Periodic Variable Stars Using Machine Learning

Light curve plotter in Python - visualizes TESS, Kepler etc. data from FITS files.

Active-learning label-efficiency study on the VarWISE NEOWISE infrared variable catalog: 86% fewer labels for equal accuracy, with the gain concentrated almost entirely in the rarest variability classes. Includes an independent SIMBAD validation of VarWISE's published classifications.