Python modules for light curve work and variable star astronomy

Periodic time series analysis tools based on information theory

PANOPTES Data Processing Pipeline

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

Package for machine learning of astronomical objects such as light curves

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…

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

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

Create and manipulate stellar light curves!

SuperNova Analysis Package

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.

A simple pure-python web browser application using Bokeh to visualize, inspect and label periodic astronomical time series

Unsupervised deep learning for exoplanet detection

Spike-train kernel for astronomical X-ray time series

MATIC stands for Multiband Astronomical TIme-series Classifier

Python3 tools for time series analysis.

A general photodynamical code for exoplanet light curves

Public repository of our works in Exoplanet analysis with Deep Learning