isolation-forest VS mmlspark

Compare isolation-forest vs mmlspark and see what are their differences.

isolation-forest

A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm. (by linkedin)
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isolation-forest mmlspark
1 2
219 2,489
0.9% -
3.9 9.3
2 months ago over 2 years ago
Scala Scala
GNU General Public License v3.0 or later 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.

isolation-forest

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

mmlspark

Posts with mentions or reviews of mmlspark. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-08.

What are some alternatives?

When comparing isolation-forest and mmlspark you can also consider the following projects:

pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

SynapseML - Simple and Distributed Machine Learning

polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

ScalNet - A Scala wrapper for Deeplearning4j, inspired by Keras. Scala + DL + Spark + GPUs

Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]

anomaly-detection-resources - Anomaly detection related books, papers, videos, and toolboxes

Spark Utils - Basic framework utilities to quickly start writing production ready Apache Spark applications

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

dblink - Distributed Bayesian Entity Resolution in Apache Spark

Spark Tools - Executable Apache Spark Tools: Format Converter & SQL Processor

qbeast-spark - Qbeast-spark: DataSource enabling multi-dimensional indexing and efficient data sampling. Big Data, free from the unnecessary!