dblink VS mmlspark

Compare dblink vs mmlspark and see what are their differences.

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dblink mmlspark
1 2
54 2,489
- -
0.0 9.3
almost 3 years 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.

dblink

Posts with mentions or reviews of dblink. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-10.
  • [D] Machine Learning and "Record Linkage"
    2 projects | /r/statistics | 10 Mar 2021
    Felligi-Sunter is the baseline model in record linkage research. It is implemented in R in fastLink and RecordLinkage, but you will need training data. There are some other options, e.g. dblink, that use Bayesian methods and a latent variable set up so you don’t need training data.

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 dblink and mmlspark you can also consider the following projects:

entity-embed - PyTorch library for transforming entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.

SynapseML - Simple and Distributed Machine Learning

splink - Fast, accurate and scalable probabilistic data linkage with support for multiple SQL backends

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

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.

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

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

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

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!