Clustering4Ever VS Compute.scala

Compare Clustering4Ever vs Compute.scala and see what are their differences.

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Clustering4Ever Compute.scala
0 0
127 199
0.0% -0.5%
0.0 0.0
about 3 years ago about 1 month ago
Scala Scala
Apache License 2.0 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.

Clustering4Ever

Posts with mentions or reviews of Clustering4Ever. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Clustering4Ever yet.
Tracking mentions began in Dec 2020.

Compute.scala

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

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

What are some alternatives?

When comparing Clustering4Ever and Compute.scala you can also consider the following projects:

Numsca - numsca is numpy for scala

Breeze - Breeze is a numerical processing library for Scala.

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

Smile - Statistical Machine Intelligence & Learning Engine

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

Tyche - Statistics utilities for the JVM - in Scala!

Synapses - A group of neural-network libraries for functional and mainstream languages

Rings - Rings: efficient JVM library for polynomial rings

OscaR

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

OpenMOLE - Workflow engine for exploration of simulation models using high throughput computing