Clustering4Ever VS PredictionIO

Compare Clustering4Ever vs PredictionIO and see what are their differences.

Clustering4Ever

C4E, a JVM friendly library written in Scala for both local and distributed (Spark) Clustering. (by Clustering4Ever)

PredictionIO

PredictionIO, a machine learning server for developers and ML engineers. (by apache)
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Clustering4Ever PredictionIO
0 0
127 12,514
0.0% -
0.0 0.0
about 3 years ago about 3 years 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.

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 Clustering4Ever and PredictionIO you can also consider the following projects:

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

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

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

BigDL - Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max). A PyTorch LLM library that seamlessly integrates with HuggingFace, LangChain, LlamaIndex, DeepSpeed, vLLM, FastChat, ModelScope, etc.

Smile - Statistical Machine Intelligence & Learning Engine

Breeze - Breeze is a numerical processing library for Scala.

Persist-Units - Scala Units of Measure Types

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

MGO - Purely functional genetic algorithms for multi-objective optimisation