Apache Spark VS Deeplearning4j

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

Apache Spark

Apache Spark - A unified analytics engine for large-scale data processing (by apache)

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 eclipse)
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Apache Spark Deeplearning4j
48 7
32,962 12,470
1.8% 0.6%
10.0 9.7
1 day ago 8 days ago
Scala 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.

Apache Spark

Posts with mentions or reviews of Apache Spark. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-10.

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 2022-03-25.

What are some alternatives?

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

Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)

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

Weka

Scalding - A Scala API for Cascading

mrjob - Run MapReduce jobs on Hadoop or Amazon Web Services

luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

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

Smile - Statistical Machine Intelligence & Learning Engine

Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

tensorflow - An Open Source Machine Learning Framework for Everyone