spark VS SynapseML

Compare spark vs SynapseML and see what are their differences.

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spark SynapseML
1 18
125 4,973
7.2% 0.3%
9.5 9.0
12 days ago 9 days ago
TypeScript Scala
Apache License 2.0 MIT 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.

spark

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

SynapseML

Posts with mentions or reviews of SynapseML. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-12.

What are some alternatives?

When comparing spark and SynapseML you can also consider the following projects:

mmlspark - Simple and Distributed Machine Learning [Moved to: https://github.com/microsoft/SynapseML]

isolation-forest - A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.

Tensorflow_scala - TensorFlow API for the Scala Programming Language

deequ - Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

Breeze - Breeze is a numerical processing library for Scala.

azure-kusto-spark - Apache Spark Connector for Azure Kusto

cobrix - A COBOL parser and Mainframe/EBCDIC data source for Apache Spark

Smile - Statistical Machine Intelligence & Learning Engine

spark-excel - A Spark plugin for reading and writing Excel files

metarank - A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine

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, Ollama, HuggingFace, LangChain, LlamaIndex, DeepSpeed, vLLM, FastChat, etc.

Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java