Astronomaly: Flexible framework for anomaly detection in astronomy
Abstract: Astronomaly actively detects anomalies in astronomical data. A python back-end runs anomaly detection based on machine learning; a JavaScript front-end provides data viewing and labeling. The package works on many common astronomy data types, including one-dimensional data and images, and offering extendable techniques for preprocessing, feature extraction, and machine learning.
Credit: Lochner, Michelle; Bassett, Bruce A.
Site: https://github.com/MichelleLochner/astronomaly
https://ui.adsabs.harvard.edu/abs/2020MNRAS.498.3077W
Bibcode: 2020ascl.soft10012L
Preferred citation method: https://ui.adsabs.harvard.edu/abs/2020arXiv201011202L
ID: ascl:2010.012