Python modules for light curve work and variable star astronomy

Periodic time series analysis tools based on information theory

A general photodynamical code for exoplanet light curves

Fulu is a python library of supernova light curves approximation methods based on machine learning.

Create light curves from UVIT data.

Package for machine learning of astronomical objects such as light curves

Python module for estimation of cross-correlation function of astronomical time-series based on the ZDCF method.

Create and manipulate stellar light curves!

A cosmological GRB light curve simulator. Because, why not?

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

PANOPTES Data Processing Pipeline

A Python package for general astrophysical light curve classification

Programs to obtain planet parameters from phase-folded light curves from the Kepler satellite, run with QMUL

Repository with the tools and scripts for "Robust period estimation using mutual information for multi-band light curves in the synoptic survey era", ApJ, 2017

Maps a light curve to a transit shape.

Developing deep learning engines (DLEs) for non-parametric modeling and extracting of information from active galactic nuclei (AGN) light-curves (LCs), which are directly related to the scientific objectives of the LSST Exploring transient optical sky. Developed DLEs Jupyter notebooks might be adaptable for modeling of light-curves of other obje…

The Light Curve Collection Server framework

Find out if there are new planets using Deep Learning

SuperNova Analysis Package

Photometric light curves classification with machine learning