Java Machine Learning

9.9

Apache Spark

9.7

9.4

Deeplearning4j

9.7

9.9

Apache Flink

9.7

9.9

Apache Hadoop

8.7

7.2

Smile

8.1

8.0

Apache Mahout

13 Machine Learning libraries and projects

Apache Spark

9.9 9.9 Scala

Data analytics cluster computing framework.
Deeplearning4j

9.7 9.4 L1 Java

Distributed and multi-threaded deep learning library.
Apache Flink

9.7 9.9 L2 Java

Fast and reliable large-scale data processing engine.
Apache Hadoop

9.7 9.9 L1 Java

Storage and large-scale processing of data-sets on clusters of commodity hardware.
Smile

8.7 7.2 L2 Java

The Statistical Machine Intelligence and Learning Engine provides a set of machine learning algorithms and a visualization library.
Apache Mahout

8.1 8.0 L3 Java

Scalable algorithms focused on collaborative filtering, clustering and classification.
DeepDive

7.5 0.0 Shell

Creates structured information from unstructured data and integrates it into an existing database.
Oryx 2

7.4 4.9 L4 Java

A framework for building real-time large scale machine learning applications, which also includes end-to-end applications for collaborative filtering, classification, regression, and clustering.
Porcupine

6.9 7.3 C

On-device wake word detection engine powered by deep learning.
DatumBox

6.6 4.3 L3 Java

Provides several algorithms and pre-trained models for natural language processing.
H2O

6.5 9.6 Scala

Analytics engine for statistics over big data.
JSAT

5.5 6.1 L2 Java

Algorithms for pre-processing, classification, regression, and clustering with support for multi-threaded execution.
Weka

4.9 7.3 PostScript

Collection of algorithms for data mining tasks ranging from pre-processing to visualization.

* Code Quality Rankings and insights are calculated and provided by Lumnify.
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