10

8

6

4

2


10.0

9.9

9.7

9.9

9.4

9.9

8.8

9.9

8.5

8.9

8.0

8.9

12 Machine Learning libraries and projects

  • Apache Spark

    10.0 9.9 Scala
    Data analytics cluster computing framework.
  • Deeplearning4j

    9.7 9.9 L1 Java
    Distributed and multi-threaded deep learning library.
  • Apache Hadoop

    9.4 9.9 L1 Java
    Storage and large-scale processing of data-sets on clusters of commodity hardware.
  • Apache Flink

    8.8 9.9 L2 Java
    Fast and reliable large-scale data processing engine.
  • Smile

    8.5 8.9 L2 Java
    The Statistical Machine Intelligence and Learning Engine provides a set of machine learning algorithms and a visualization library.
  • Apache Mahout

    8.0 8.9 L3 Java
    Scalable algorithms focused on collaborative filtering, clustering and classification.
  • DeepDive

    7.3 9.2 Shell
    Creates structured information from unstructured data and integrates it into an existing database.
  • Oryx 2

    7.1 7.9 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.
  • DatumBox

    6.6 8.5 L3 Java
    Provides several algorithms and pre-trained models for natural language processing.
  • H2O

    5.8 8.8 Scala
    Analytics engine for statistics over big data.
  • JSAT

    4.3 7.9 L2 Java
    Algorithms for pre-processing, classification, regression, and clustering with support for multi-threaded execution.
  • Weka

    4.2 4.4 PostScript
    Collection of algorithms for data mining tasks ranging from pre-processing to visualization.

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