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

SeeVar inspired by seestar_alp

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

Astronomical FITS image analysis tool for detecting asteroids, comets, satellites, moving objects, and transients in astrophotography data.

The Light Curve Collection Server framework

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

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

Variable Stars Classification by their light curves.

Photometry scripts based on FITSH package

Visual Astro helps you log observing sessions, estimate star magnitudes with the Nijland-Blazhko method, and export your results straight to VSNET and AAVSO. Including pozor: altitude charts, night charts, minima predictions, a CCD target catalog, location manager, and an observation journal for planning a night out

Non-parametric Lomb Scargle

Python code for working with light curves of variable stars

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