SynapseML VS cobrix

Compare SynapseML vs cobrix and see what are their differences.

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SynapseML cobrix
18 1
4,967 133
0.6% 0.8%
8.9 7.8
2 days ago 5 days 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.

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.

cobrix

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

What are some alternatives?

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

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

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

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

delta - An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs

Tensorflow_scala - TensorFlow API for the Scala Programming Language

spark-nlp - State of the Art Natural Language Processing

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

COBOL-Guide - COBOL Guide

Breeze - Breeze is a numerical processing library for Scala.

unlock-mainframe-data-files-on-aws - This solution is designed to help you unlock legacy mainframe data by migrating data files from mainframe systems to AWS. By migrating the data, you can make use of the powerful analytics, machine learning, and other services available in AWS to gain insights and make better decisions based on the data.

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

superbol-studio-oss - Open-Source part of the SuperBOL Studio, including the Vscode mode with LSP