Scoozie vs BIDMach

Scoozie

Scala DSL on top of Oozie XML (by klout)

Big Data

Source Code

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BIDMach

CPU and GPU-accelerated Machine Learning Library (by BIDData)

Big Data

Source Code

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Scoozie		BIDMach
	Project
-	Mentions	-
82	Stars	913
-	Growth	0.0%
0.0	Activity	0.0
almost 9 years ago	Latest Commit	over 1 year ago
Scala	Language	Scala
GNU General Public License v3.0 or later	License	BSD 3-clause "New" or "Revised" 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.

Scoozie

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

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

BIDMach

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

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

What are some alternatives?

When comparing Scoozie and BIDMach you can also consider the following projects:

Scrunch - Mirror of Apache Crunch (Incubating)

metorikku - A simplified, lightweight ETL Framework based on Apache Spark

Hail - Cloud-native genomic dataframes and batch computing

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

Sparkta - Real Time Analytics and Data Pipelines based on Spark Streaming

Vegas - The missing MatPlotLib for Scala + Spark

Sparkplug - Spark package to "plug" holes in data using SQL based rules ⚡️ 🔌

Deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.

spark-deployer - Deploy Spark cluster in an easy way.

Apache Kafka - Mirror of Apache Kafka

Scoobi - A Scala productivity framework for Hadoop.