Deeplearning4j VS Apache Mahout

Compare Deeplearning4j vs Apache Mahout and see what are their differences.

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. (by deeplearning4j)
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Deeplearning4j Apache Mahout
13 -
13,424 2,119
0.5% 0.3%
6.5 8.3
5 days ago 6 days ago
Java HTML
Apache License 2.0 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.

Deeplearning4j

Posts with mentions or reviews of Deeplearning4j. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-29.

Apache Mahout

Posts with mentions or reviews of Apache Mahout. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Apache Mahout yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Deeplearning4j and Apache Mahout you can also consider the following projects:

Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java

Weka

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

tensorflow - An Open Source Machine Learning Framework for Everyone

H2O - Sparkling Water provides H2O functionality inside Spark cluster

Smile - Statistical Machine Intelligence & Learning Engine

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

Oryx 2 - Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning