Smile
A fast and comprehensive machine learning framework for Java, Scala, and Kotlin with state-of-the-art algorithms and data visualization.
What is Smile?
SMILE is a fast and comprehensive machine learning framework for the JVM, supporting Java, Scala, and Kotlin. It provides a wide range of algorithms for classification, regression, clustering, deep learning, natural language processing, and data visualization, all optimized for performance. The framework solves the need for a unified, high-performance ML library within the JVM ecosystem.
Java, Scala, and Kotlin developers building machine learning applications, data scientists working within JVM environments, and researchers needing a performant library with extensive algorithm coverage.
Developers choose SMILE for its broad algorithm support, native JVM performance, multi-language APIs, and integrated visualization tools, making it a one-stop solution for machine learning on the JVM without relying on Python-based stacks.
Overview
Statistical Machine Intelligence & Learning Engine
Use Cases
Best For
- Building machine learning pipelines in Java, Scala, or Kotlin applications
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