ONNX-Scala
A type-safe, functional ONNX API and backend for deep learning and classical machine learning in Scala 3.
What is ONNX-Scala?
ONNX-Scala is a Scala 3 library that provides a type-safe, functional interface to the Open Neural Network Exchange (ONNX) standard for deep learning and classical machine learning. It enables cross-platform model inference with performance comparable to native ONNX Runtime, leveraging Scala's advanced type system for compile-time safety and expressiveness.
Scala developers, particularly those using Scala 3, who work with ONNX models and require type safety, functional programming patterns, and cross-platform deployment (JVM, Scala.js/JavaScript, Scala Native).
Developers choose ONNX-Scala for its typeful, functional API that enforces tensor shape and data type constraints at compile time, reducing runtime errors, while maintaining high performance and full interoperability with the ONNX ecosystem across multiple platforms.
Overview
An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning and classical machine learning in Scala 3
Use Cases
Best For
- Executing pre-trained ONNX models in Scala with minimal overhead and static typing wrappers.
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