Deep Java Library (DJL) VS Apache Mahout

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

Our great sponsors
  • Mergify - Automate your Pull Request with Mergify
  • SonarQube - Static code analysis for 29 languages.
  • Scout APM - Less time debugging, more time building
Deep Java Library (DJL) Apache Mahout
7 0
2,508 1,992
3.1% 0.6%
9.5 1.0
3 days ago about 1 month ago
Java Java
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.

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 2021-09-03.

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 Deep Java Library (DJL) and Apache Mahout 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.

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

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

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

Tribuo - Tribuo - A Java machine learning library

Apache Flink - Apache Flink


H2O - Sparkling Water provides H2O functionality inside Spark cluster

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