Deeplearning4j vs Keras
Deeplearning4j
deeplearning4j.konduit.aiKeras
keras.ioSide by side
| Figure | Deeplearning4j | Keras |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 1 | 0 |
| Spec score · Deep Learning Software | 8.7 (#4) | 7.5 (#19) |
| Model interoperability | The suite supports importing models from Keras, TensorFlow, and ONNX. | Keras 3 models can be used as PyTorch modules, exported as TensorFlow SavedModels, or instantiated as stateless JAX functions. |
| Purpose | Eclipse Deeplearning4j is an open-source, distributed deep learning framework for the JVM. | Keras is a Python deep learning API designed to make model development concise, readable, and easier to debug. |
| Support | The support page lists GitHub issues, community forums, Stack Overflow, and professional support from Konduit. | The Keras site directs users to its Google Group for questions and development discussion, and GitHub issues for bug reports and feature requests. |
Plans
In their own words
Deeplearning4j
Deeplearning4j is an open-source framework for building, training, and deploying neural networks on the JVM, using Java or Scala. It can compute on CPUs through OpenBLAS and oneDNN, or use CUDA for GPU acceleration. For distributed training, it supports Apache Spark across CPU or GPU clusters. The framework can import models from Keras, TensorFlow, and ONNX, while Python4J provides Python interoperability from Java through CPython embedding. Its wider ecosystem includes ND4J, SameDiff, DataVec, Keras Import, Python4J, OmniHub, and Arbiter. Documented deployment targets include JVM microservices, mobile devices, IoT, and Spark environments. The libraries are licensed under Apache License 2.0 and governed by the Eclipse Foundation. The quickstart recommends Maven for Java projects, with Ivy and Gradle also workable. Documentation covers version 1.0.0-M2.1. The free plan is listed at free. Support options include GitHub issues, community forums, Stack Overflow, and professional support from Konduit.