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)
SynapseML
Simple and Distributed Machine Learning (by microsoft)
| sparkMeasure | SynapseML | |
|---|---|---|
| 1 | 18 | |
| 742 | 5,123 | |
| 1.9% | 0.4% | |
| 5.6 | 8.3 | |
| 18 days ago | 11 days ago | |
| Scala | Scala | |
| Apache License 2.0 | 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.
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.
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
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.
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.
- FLaNK Stack Weekly for 12 September 2023
-
Microsoft announces new tool for applying ChatGPT and GPT-4 at massive scales
Release Notes: https://github.com/microsoft/SynapseML/releases/tag/v0.11.0
-
Data science in Scala
b) There are libraries around e.g. Microsoft SynapseML, LinkedIn Photon ML
- [N] Microsoft Announces New Integrations with OpenAI and MLFlow
- [N] Microsoft Releases new Integrations with OpenAI and MLflow as part of SynapseML
-
[P] Microsoft releases SynapseML v0.9.5 with support for speech synthesis, anomaly detection, and geospatial analytics on large-scale data
Link to Release Notes: https://github.com/microsoft/SynapseML/releases/tag/v0.9.5
- Microsoft releases SynapseML v0.9.5 for distributed geospatial analytics, speech synthesis, and anomaly detection in PySpark.
- [P] SynapseML v0.9.5 announces support for geospatial analytics, speech synthesis, and anomaly detection on large-scale datasets
- Microsoft releases SynapseML v0.9.5 with support for speech synthesis, anomaly detection, and geospatial analytics on Apache Spark
What are some alternatives?
When comparing sparkMeasure and SynapseML you can also consider the following projects:
delight - A Spark UI and Spark History Server alternative with CPU and Memory metrics! Delight is free, cross-platform, and open-source.
Breeze - Breeze is/was a numerical processing library for Scala.
dblink - Distributed Bayesian Entity Resolution in Apache Spark
Tensorflow_scala - TensorFlow API for the Scala Programming Language
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
mmlspark - Simple and Distributed Machine Learning [Moved to: https://github.com/microsoft/SynapseML]