ONNX-Scala vs Breeze

Side-by-side — pricing, strengths, tradeoffs, and fit.

ONNX-Scala

Functional deep learning in Scala with ONNX support.

Breeze

Numerical processing library for Scala with Apache-2.0 license.

At a glance

Open SourceFree Tier
● Established·From $0
Open SourceFree Tier
◌ Declining·From $0

Overview

One-liner

Functional deep learning in Scala with ONNX support.

One-liner

Numerical processing library for Scala with Apache-2.0 license.

Maturity

Established

Maturity

Declining

Open source

✓ Yes

Open source

✓ Yes

Pricing

Free tier

✓ Available

Open source — free to use

Free tier

✓ Available

Open source — free to use

Starts at

$0

Starts at

$0

Model

Flat rate

Model

Flat rate

Enterprise

✕ None

Enterprise

✕ None

Best for

✓ Best for

Teams building deep learning applications in Scala who need type safety and functional programming features.
Projects requiring integration with ONNX models within a Scala ecosystem.

✓ Best for

Scala developers working on numerical computation-heavy projects
Research teams needing robust linear algebra support in their applications

Not ideal for

✕ Not for

Developers looking for a cloud-based managed service for deep learning.
Projects that require real-time model training or inference without self-hosting capabilities.

✕ Not for

Projects requiring real-time data processing and analysis
Applications that require extensive GPU acceleration for computations

Strengths

↑ Strengths

Typeful and functional API for deep learning in Scala.
Supports ONNX format for model exchange.
Enables developers to build scalable machine learning applications.

↑ Strengths

Support for linear algebra operations
Numerical optimization algorithms
Random number generation utilities

Weaknesses

↓ Weaknesses

Steep learning curve for non-Scala developers
Limited community support and resources
Performance overhead due to JVM
Limited third-party integration support

↓ Weaknesses

Limited language support, only available in Scala
Small community and limited third-party integrations
Performance may not match specialized libraries for specific tasks
Full ONNX-Scala profile →Full Breeze profile →