OpenMOLE VS Saddle

Compare OpenMOLE vs Saddle and see what are their differences.

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OpenMOLE Saddle
- -
139 510
-0.7% -
9.4 0.0
14 days ago -
Scala HTML
GNU Affero General Public License v3.0 -
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.

OpenMOLE

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

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

Saddle

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

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

What are some alternatives?

When comparing OpenMOLE and Saddle you can also consider the following projects:

PredictionIO - PredictionIO, a machine learning server for developers and ML engineers.

Breeze - Breeze is a numerical processing library for Scala.

Spark Notebook - Interactive and Reactive Data Science using Scala and Spark.

ND4S - ND4S: N-Dimensional Arrays for Scala. Scientific Computing a la Numpy. Based on ND4J.

Zeppelin - Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.

Algebird - Abstract Algebra for Scala

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

Figaro - Figaro Programming Language and Core Libraries

Smile - Statistical Machine Intelligence & Learning Engine

FACTORIE - FACTORIE is a toolkit for deployable probabilistic modeling, implemented as a software library in Scala. It provides its users with a succinct language for creating relational factor graphs, estimating parameters and performing inference.