Weka VS H2O

Compare Weka vs H2O and see what are their differences.

Weka

By bnjmn

H2O

Sparkling Water provides H2O functionality inside Spark cluster (by h2oai)
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Weka H2O
0 0
302 917
- 0.4%
0.0 8.9
almost 3 years ago 7 days ago
PostScript Scala
- 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.

Weka

Posts with mentions or reviews of Weka. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Weka yet.
Tracking mentions began in Dec 2020.

H2O

Posts with mentions or reviews of H2O. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning H2O yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Weka and H2O you can also consider the following projects:

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.

Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing

Apache Hadoop - Apache Hadoop

Smile - Statistical Machine Intelligence & Learning Engine

Apache Flink - Apache Flink

JSAT - Java Statistical Analysis Tool, a Java library for Machine Learning

Apache Mahout - Mirror of Apache Mahout

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