JavaCPP VS Deep Java Library (DJL)

Compare JavaCPP vs Deep Java Library (DJL) and see what are their differences.

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JavaCPP Deep Java Library (DJL)
8 13
4,114 3,220
0.9% 3.9%
8.5 9.0
7 days ago 3 days ago
Java Java
GNU General Public License v3.0 or later Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.


Posts with mentions or reviews of JavaCPP. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-27.

Deep Java Library (DJL)

Posts with mentions or reviews of Deep Java Library (DJL). We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-11.
  • Is deeplearning4j a good choice?
    2 projects | | 11 Mar 2023
    It seems to have been picked up by Eclipse and there is also Oracle Labs' Tribuo and Deep Java Library. All seem active, but I don't know much about any of them. I agree it's probably best to follow the community and use a more popular tool like PyTorch.
  • Just want to vent a bit
    3 projects | | 3 Dec 2022
    Although it may be a bit more work, you can do both machine learning and AI in Java. If you are doing deep learning, you can use DeepJavaLibrary (I do work on this one at Amazon). If you are looking for other ML algorithms, I have seen Smile, Tribuo, or some around Spark.
  • Best way to combine Python and Java?
    10 projects | | 29 Oct 2022
    Image preprocessing I know less about, but tokenization is something I've dealt with a bunch. There are a few options, either push the tokenizer into the ONNX model and use MS's ONNX Runtime extensions (we've used this when working with sentencepiece tokenizers), port the tokenizer entirely to Java (we did this for BERT), or use a sentencepiece or HF tokenizers wrapper directly (e.g. Amazon's DJL did this - HF, sentencepiece).
  • Anybody here using Java for machine learning?
    11 projects | | 13 Sep 2022 seems very promising. I've played around with it quite a bit, not in real production though. It's a very well documented ( and active project, with Amazon working on it.
    11 projects | | 13 Sep 2022
    Well, we've been using Tribuo in production for many years now. The ONNX Runtime Java API that I maintain in MS's ONNX Runtime project has also seen a bunch of uptake in companies, and Amazon have been building DJL for several years too.
  • Good document classification library in Java
    2 projects | | 12 Sep 2022
  • 2021-09 - Plans & Hopes for Clojure Data Science
    3 projects | | 3 Sep 2021
    Here is link number 1 - Previous text "DJL"
    3 projects | | 3 Sep 2021
    Regarding Tensorflow: As far as I understand, it is accessible through DJL, which has a Clojure wrapper (work in progress): clj-djl. (But I haven't tried it.)
  • [D] Java vs Python for Machine learning
    4 projects | | 25 Jul 2021
    To give a contrasting perspective, I think the Java ecosystem is much better suited for many data science tasks, and has a growing and well-maintained set of libraries for general purpose machine learning. I won't list them all, but TF-Java, DJL et al. have implementations of many modern architectures and there are a number of excellent libraries (CoreNLP, Lucene et al.) for working with text.
  • Does Java has similar project like this one in C#? (ml, data)
    6 projects | | 23 May 2021

What are some alternatives?

When comparing JavaCPP and Deep Java Library (DJL) you can also consider the following projects:

Deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.

JNA - Java Native Access

SWIG - SWIG is a software development tool that connects programs written in C and C++ with a variety of high-level programming languages.

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

mediapipe - Cross-platform, customizable ML solutions for live and streaming media.

JNR - Java Abstracted Foreign Function Layer

Tribuo - Tribuo - A Java machine learning library

Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing

Apache Flink - Apache Flink

CoreNLP - Stanford CoreNLP: A Java suite of core NLP tools.

Cython - The most widely used Python to C compiler

cppimport - Import C++ files directly from Python!