Spire VS PredictionIO

Compare Spire vs PredictionIO and see what are their differences.

Spire

Powerful new number types and numeric abstractions for Scala. (by typelevel)

PredictionIO

PredictionIO, a machine learning server for developers and ML engineers. (by apache)
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Spire PredictionIO
0 0
1,688 12,514
0.4% -
9.3 0.0
3 days ago over 1 year ago
Scala Scala
MIT License 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.

Spire

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

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

PredictionIO

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

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

What are some alternatives?

When comparing Spire and PredictionIO you can also consider the following projects:

Breeze - Breeze is a numerical processing library for Scala.

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

Squants - The Scala API for Quantities, Units of Measure and Dimensional Analysis

Algebird - Abstract Algebra for Scala

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

Figaro - Figaro Programming Language and Core Libraries

Libra - A dimensional analysis library based on dependent types

BigDL - Building Large-Scale AI Applications for Distributed Big Data