10

8

6

4

2


10.0

10.0

9.8

9.9

9.7

9.9

9.5

8.6

8.7

9.8

14 Machine Learning libraries and projects

  • Apache Spark

    10.0 10.0 Scala
    Apache Spark - A unified analytics engine for large-scale data processing
  • Apache Flink

    9.8 9.9 L2 Java
    Apache Flink
  • InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
    Promo www.influxdata.com
    InfluxDB Logo
  • Apache Hadoop

    9.7 9.9 L1 Java
    Apache Hadoop
  • Deeplearning4j

    9.5 8.6 L1 Java
    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 learn...
  • Smile

    8.7 9.8 L2 Java
    Statistical Machine Intelligence & Learning Engine
  • Deep Java Library (DJL)

    8.2 9.2 Java
    An Engine-Agnostic Deep Learning Framework in Java
  • Porcupine  

    8.0 8.9 Python
    On-device wake word detection powered by deep learning
  • Apache Mahout

    7.9 8.9 L3 HTML
    Mirror of Apache Mahout
  • DeepDive

    7.4 0.0 Shell
    DeepDive
  • Oryx 2

    7.2 0.8 L4 Java
    DISCONTINUED. Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning
  • H2O

    6.5 7.2 Scala
    Sparkling Water provides H2O functionality inside Spark cluster
  • DatumBox

    6.4 3.2 L3 Java
    Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applications.
  • JSAT

    5.6 0.0 L2 Java
    Java Statistical Analysis Tool, a Java library for Machine Learning
  • Weka

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

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