Create light curves from UVIT data.

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"

Python code for working with light curves of variable stars

This Streamlit app allows you to visualize Gamma-Ray Burst (GRB) light curves.

Implements Background Subtraction using polynomial fit on a GRB light curve from FERMI GBM Data

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

Create and manipulate stellar light curves!

EclipseBin is a Python package designed for binning light curves of eclipsing binary stars using a non-uniform binning scheme. The package focuses on better capturing the details of eclipses by allocating more bins within the eclipse regions, making it ideal for light curves with narrow eclipses.

Python modules for light curve work and variable star astronomy

Public repository of our works in Exoplanet analysis with Deep Learning

Python3 tools for time series analysis.

Periodic time series analysis tools based on information theory

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

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

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

A Python package for general astrophysical light curve classification

SuperNova Analysis Package

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

MATIC stands for Multiband Astronomical TIme-series Classifier

Find out if there are new planets using Deep Learning