The most comprehensive collection of accurate astronomical algorithms in JavaScript (TypeScript).
The Naval Observatory NOVAS C astrometry library, made better
A python DS9 extension for quicklook processing of astronomical images. This highly interactive extension can be generalized automatically to a set of images to turn the plug-in into a real multi-processing pipeline.
Astrarium — open-source planetarium software for Windows
Galaxy Line Emission & Absorption Modeling
Real time meteor detection by deep learning
A Python package for manipulating and correcting variable point spread functions.
pySAS is a python wrapper for the Science Analysis Software (SAS) used for analyzing XMM-Newton data. This repository is maintained by the XMM-Newton Guest Observer Facility (GOF) at Goddard Space Flight Center for testing new pySAS functionality.
SUPPNet: Neural network for stellar spectrum normalisation
Stellar aperture photometry
A testbed for stellar granulation in exoplanet RV searches.
Bayesian model reconstruction based on astronomical spectral line observations.
SEDBYS: A python-based SED Builder for Young Stars. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711021000327
Repository of pvCORE software
A project implementing algorithms from "Practical Astronomy with your Calculator or Spreadsheet" for astronomical calculations and data analysis.
A C++ portage of pyphot for computing photometry from spectra
Machine Learning pipeline to classify astronomical sources into galaxies, quasars and stars using photometric data.
Free Pascal Lazarus project for astronomical calculations
Multimodal Estimation Routine for the Cosmological Unravelling of Rest-frame Infrared Uniformised Spectra (MERCURIUS) uses the pymultinest package (Feroz et al. 2009; Buchner et al. 2014) to fit and plot greybody spectra given far-infrared (FIR) photometry of an object.
DIY dew heater bands controller
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