A friendly package for Kepler & TESS time series analysis in Python.
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Updated
Jul 8, 2026 - Python
A friendly package for Kepler & TESS time series analysis in Python.
Easy command line tools for Kepler, K2 & TESS data analysis.
Automating the vetting and validation of planet candidates from photometry survey missions - Kepler and TESS - using deep learning methods
automated measurements of global asteroseismic parameters
Easy and versatile open-source code to explore Kepler, K2 and TESS data in the search for exoplanets
Animate exoplanet transits
Eclipsing binary star research package to efficiently analyze eclipsing binary systems.
Open exoplanet transit search pipeline
Determine rotation periods from TESS light curves. Generate a one page PDF file for a TIC including Target Pixel File, SAP/PDCSAP TESS light curve, GLS periodogram, stellar rotation period and phase folded light curve.
Fast offline queries of TESS FFI positions and filenames.
Small package to check if a given star is going to be observed with the TESS telescope
Curves of Light from TESS (COLTESS): photometry tool for TESS FFIs
Sub-pixel spacecraft attitude determination from real NASA TESS satellite imagery (deep learning + classical geometry)
An OCR system trained with manually generated handwriting datasets with the purpose to classify handwritten text to digital text.
An end-to-end pipeline for automated exoplanet detection from TESS photometric light curves, combining Box Least Squares periodogram search with a Dual-Branch 1D Convolutional Neural Network (TransitCNN) to classify transit candidates as planets, eclipsing binaries, or false positives.
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