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astroML vs Weka

A side-by-side comparison of pricing, ratings, features, pros and cons.

astroML
astroMLAstroML developer communityOpen Source
Weka
WekaUniversity of WaikatoOpen Source
DescriptionMachine Learning and Data Mining for Astronomy.Weka is a collection of machine learning algorithms for data mining tasks.
Category
DeveloperAstroML developer communityUniversity of Waikato
Verified StatusNoNo
Last UpdatedAug 2026Aug 2026
Pricing ModelOpen SourceOpen Source
Free PlanYesYes
Free TrialNoNo
Open SourceYesYes
API AccessNoNo
Features
ML and statistical routines for astronomical data
Built on NumPy, SciPy, scikit-learn, Astropy
Free astronomical dataset loaders
Examples: clustering, regression, time-series analysis
Companion textbook (2nd edition, 2019)
Free and open source (3-clause BSD)
Graphical workbench for ML and data mining
Classification, regression, and clustering algorithms
Built-in data preprocessing and visualization
Cross-platform, Java-based
Educational courses and documentation
Free (GPL); commercial licenses available
Tags
astromlmachinelearningdataminingastronomy
wekacollectionmachinelearningalgorithmsdata
Review Count00
Saves00
Views611
Quality Score49/10049/100
Website StatusOnlineOnline
Websitewww.astroml.orgwww.cs.waikato.ac.nz
Social Links1 linked
ScreenshotsNoNo
Pros
Free to use
Free to use

Who Should Choose Each Tool?

Choose astroML if:

  • Free to use

Choose Weka if:

  • Free to use

Frequently Asked Questions

Both tools are closely matched on rating — the better fit depends on your specific needs. See the full feature and pricing comparison above.

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