The Naval Observatory NOVAS C astrometry library, made better
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Updated
Sep 4, 2026 - C
The Naval Observatory NOVAS C astrometry library, made better
A fairly comprehensive collection of accurate astronomical algorithms in JavaScript (TypeScript).
Astrarium — open-source planetarium software for Windows
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.
Galaxy Line Emission & Absorption Modeling
Real time meteor detection by deep learning
A Python package for manipulating and correcting variable point spread functions.
Pico-Planetarium is a compact, low-cost astronomy viewer built around the Raspberry Pi Pico 2W and a 480x320 ST7796 TFT display.
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
Aetherion is an open source, semi-professional grade research & simulation tool for black holes, singularities, and similar space anomalies.
A multiplatform, lightweight astrophotography suite
DIY project to build a motorized telescope cover, flat panel, or a combined flip-flat system.
Simulate time-variable granulation signatures in stellar spectra
Repository of pAstroCORE software -- a flexible tool for planning radio astronomical observations (VLBI & single-dish). Implemented via MSB architecture.
Stellar aperture photometry
AI-powered classifier that detects exoplanets from NASA’s Kepler data — built and deployed by a high school student exploring the intersection of astronomy and machine learning.
Portable Utility Library for Shell Astrophotography Routines
Tool for detecting objects in astronomical images
SEDBYS: A python-based SED Builder for Young Stars. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711021000327
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