sparkMeasure VS mmlspark

Compare sparkMeasure vs mmlspark and see what are their differences.

sparkMeasure

This is the development repository for sparkMeasure, a tool and library designed for efficient analysis and troubleshooting of Apache Spark jobs. It focuses on easing the collection and examination of Spark metrics, making it a practical choice for both developers and data engineers. (by LucaCanali)
Spark apache-spark performance-troubleshooting performance-metrics Python Scala
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mmlspark

Simple and Distributed Machine Learning [Moved to: https://github.com/microsoft/SynapseML] (by Azure)
Spark Pyspark Azure Scala Microsoft ML Machine Learning Databricks cognitive-services Lightgbm HTTP model-deployment Deep Learning AI apache-spark Data Science Synapse Big Data Onnx OpenCV

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sparkMeasure mmlspark
1 2
642 2,489
- -
7.5 9.3
12 days ago over 2 years ago
Scala Scala
Apache License 2.0 MIT License
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sparkMeasure

Posts with mentions or reviews of sparkMeasure. We have used some of these posts to build our list of alternatives and similar projects.
  • Spark Write Metrics
    1 project | /r/dataengineering | 1 Jul 2021
    As an alternative to other proposed solutions, you could try and leverage the Spark metrics system to extract this information from accumulators. Metrics include total records and bytes written at each stage, among others. Take a look at SparkMeasure as well as an implementation example if you need to roll your own.

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 sparkMeasure and mmlspark you can also consider the following projects:

dblink - Distributed Bayesian Entity Resolution in Apache Spark

SynapseML - Simple and Distributed Machine Learning

delight - A Spark UI and Spark History Server alternative with CPU and Memory metrics! Delight is free, cross-platform, and open-source.

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

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

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

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

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]

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

sparkMeasure vs dblink mmlspark vs SynapseML sparkMeasure vs delight mmlspark vs isolation-forest sparkMeasure vs Apache Spark mmlspark vs polyaxon sparkMeasure vs Spark Tools mmlspark vs Activeloop Hub sparkMeasure vs SynapseML mmlspark vs Spark Utils mmlspark vs metarank mmlspark vs dblink