PredictionIO VS MGO

Compare PredictionIO vs MGO and see what are their differences.

PredictionIO

PredictionIO, a machine learning server for developers and ML engineers. (by apache)
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PredictionIO MGO
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12,514 71
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0.0 5.6
over 3 years ago 3 months ago
Scala Scala
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.

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.

MGO

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

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

What are some alternatives?

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

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

Chalk

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

Breeze - Breeze is a numerical processing library for Scala.

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

SwiftLearner - SwiftLearner: Scala machine learning library

Figaro - Figaro Programming Language and Core Libraries

Smile - Statistical Machine Intelligence & Learning Engine

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 llama.cpp, HuggingFace, LangChain, LlamaIndex, DeepSpeed, vLLM, FastChat, ModelScope, etc.