Periodic time series analysis tools based on information theory

Python modules for light curve work and variable star astronomy

A general photodynamical code for exoplanet light curves

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

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

Create light curves from UVIT data.

Package for machine learning of astronomical objects such as light curves

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

Python3 tools for time series analysis.

SuperNova Analysis Package