Numsca vs OscaR

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Numsca		OscaR
	Project
-	Mentions	-
182	Stars	-
0.0%	Growth	-
2.7	Activity	-
over 1 year ago	Latest Commit	-
Jupyter Notebook	Language
BSD 2-clause "Simplified" License	License	-

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.

Numsca

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

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

OscaR

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

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

What are some alternatives?

When comparing Numsca and OscaR you can also consider the following projects:

Breeze - Breeze is a numerical processing library for Scala.

Spire - Powerful new number types and numeric abstractions for Scala.

Compute.scala - Scientific computing with N-dimensional arrays

Axle - Axle Domain Specific Language for Scientific Cloud Computing and Visualization

Algebird - Abstract Algebra for Scala

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

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

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.