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astroML vs MLlib in Apache Spark

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

astroML
astroMLAstroML developer communityOpen Source
MLlib in Apache Spark
MLlib in Apache SparkApache Software FoundationOpen Source
DescriptionMachine Learning and Data Mining for Astronomy.Distributed machine learning library in Spark.
Category
DeveloperAstroML developer communityApache Software Foundation
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)
Distributed machine learning at Spark scale
Classification, regression, clustering algorithms
Java, Scala, Python, and R support
ML Pipeline construction and hyperparameter tuning
Distributed linear algebra: SVD, PCA
Free and open source (Apache License 2.0)
Tags
astromlmachinelearningdataminingastronomy
sparkmllibapachedistributedmachinelearning
Review Count00
Saves00
Views610
Quality Score49/10049/100
Website StatusOnlineOnline
Websitewww.astroml.orgspark.apache.org
Social Links1 linked
ScreenshotsNoNo
Pros
Free to use
Free to use

Who Should Choose Each Tool?

Choose astroML if:

  • Free to use

Choose MLlib in Apache Spark if:

  • Free to use

Frequently Asked Questions

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