Smile
Statistical Machine Intelligence & Learning Engine for scalable machine learning.
Pricing
Free tier
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is Smile?
Smile is a fast and comprehensive machine learning library in Java and Scala. It provides a wide range of algorithms for classification, regression, clustering, association rule mining, feature selection, manifold learning, multidimensional scaling, genetic algorithm, missing value imputation, complex optimization, and more.
Key differentiator
“Smile stands out as a robust and comprehensive open-source library specifically optimized for performance in Java/Scala environments, offering a wide array of machine learning algorithms without the need for external dependencies.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
Smile is primarily developed for Java and Scala, which may not cater to developers proficient in other languages like Python or R.
Setting up Smile requires a good understanding of the JVM ecosystem and managing dependencies with tools like Maven or SBT can be challenging for beginners.
While optimized, Smile may experience performance bottlenecks when dealing with extremely large datasets due to memory constraints in JVM environments.
Fit analysis
Who is it for?
✓ Best for
Java developers who need a comprehensive library to integrate machine learning capabilities into their applications.
Projects requiring high-performance, scalable machine learning solutions in Java/Scala environments.
✕ Not a fit for
Developers looking for cloud-based managed services for machine learning.
Teams preferring Python or other languages over Java and Scala.
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Works well with
Next step
Get Started with Smile
Step-by-step setup guide with code examples and common gotchas.