astroML
AstroML provides Python tools for machine learning and data mining in astronomy.
About astroML
astroML is a Python module for machine learning and data mining in astronomy. It is built on numpy, scipy, scikit-learn, matplotlib, and astropy, and distributed under the 3-clause BSD license.
It provides statistical and machine learning routines for analyzing astronomical data, loaders for several open astronomical datasets, and examples for analyzing and visualizing datasets.
Key features
- Python routines for statistical analysis and machine learning in astronomy
- Loaders for several open astronomical datasets
- Examples for analyzing and visualizing astronomical datasets
- Methods for density estimation, clustering, and dimensionality reduction
- Supervised learning tools for regression and classification
- Time series analysis and two-point correlation functions
Best for: Researchers and students of astronomy analyzing astronomical data with Python.
Good for
- Built on numpy, scipy, scikit-learn, matplotlib, and astropy
- Distributed under the 3-clause BSD license
- Includes loaders for open astronomical datasets and analysis examples
astroML at a glance
- Website
- astroml.org
- Category
- Development › Developer Tools
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
Guides for Developer Tools
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astroML FAQ
What software does astroML build on?
numpy, scipy, scikit-learn, matplotlib, and astropy.
How can I share an example with the project?
Contribute via a GitHub Pull Request to the repository at http://github.com/astroML/astroML.
How should I cite astroML in a publication?
Reference the Vanderplas et al. paper Introduction to astroML: Machine learning for astrophysics and optionally the accompanying textbook.
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