10

8

6

4

2


9.9

9.9

9.8

10.0

9.7

9.7

9.6

8.5

8.6

9.6

7.9

7.1

14 Machine Learning libraries and projects

  • Apache Spark

    9.9 9.9 Scala
    Data analytics cluster computing framework.
  • Apache Flink

    9.8 10.0 L2 Java
    Fast and reliable large-scale data processing engine.
  • Apache Hadoop

    9.7 9.7 L1 Java
    Storage and large-scale processing of data-sets on clusters of commodity hardware.
  • Scout APM uses tracing logic that ties bottlenecks to source code so you know the exact line of code causing performance issues and can get back to building a great product faster.
    Promoted scoutapm.com
  • Deeplearning4j

    9.6 8.5 L1 Java
    Distributed and multi-threaded deep learning library.
  • Smile

    8.6 9.6 L2 Java
    The Statistical Machine Intelligence and Learning Engine provides a set of machine learning algorithms and a visualization library.
  • Apache Mahout

    7.9 7.1 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.
  • Porcupine  

    7.3 8.4 Java
    On-device wake word detection engine powered by deep learning.
  • Oryx 2

    7.3 2.6 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.
  • Deep Java Library (DJL)

    6.7 0.0 Java
    An Engine-Agnostic Deep Learning Framework in Java
  • H2O

    6.5 0.0 Scala
    Analytics engine for statistics over big data.
  • DatumBox

    6.4 3.7 L3 Java
    Provides several algorithms and pre-trained models for natural language processing.
  • JSAT

    5.5 2.4 L2 Java
    Algorithms for pre-processing, classification, regression, and clustering with support for multi-threaded execution.
  • Weka

    4.9 0.0 PostScript
    Collection of algorithms for data mining tasks ranging from pre-processing to visualization.

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