mmlspark VS qbeast-spark

Compare mmlspark vs qbeast-spark and see what are their differences.

qbeast-spark

Qbeast-spark: DataSource enabling multi-dimensional indexing and efficient data sampling. Big Data, free from the unnecessary! (by Qbeast-io)
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mmlspark qbeast-spark
2 12
2,489 189
- 8.5%
9.3 8.6
over 2 years 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.

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.

qbeast-spark

Posts with mentions or reviews of qbeast-spark. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-09.

What are some alternatives?

When comparing mmlspark and qbeast-spark you can also consider the following projects:

SynapseML - Simple and Distributed Machine Learning

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

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

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]

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

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

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

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

dblink - Distributed Bayesian Entity Resolution in Apache Spark

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

netron - Visualizer for neural network, deep learning and machine learning models