dblink
delight
| dblink | delight | |
|---|---|---|
| 1 | 2 | |
| 54 | 332 | |
| - | 0.0% | |
| 0.0 | 1.2 | |
| almost 3 years ago | about 1 year ago | |
| Scala | Scala | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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
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[D] Machine Learning and "Record Linkage"
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.
delight
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The New & Improved Spark UI & Spark History Server is now Generally Available
We encourage you to try it out! Sign up, follow the installation instructions on our github page, and let us know your feedback over email (by replying to the welcome email) or using the live chat window in the product.
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Public Release of Delight - A Spark UI complement with CPU & Memory metrics that will Delight you! Works for free on top of ANY Spark platform. Install our open-source agent and try it out!
Follow our Github https://github.com/datamechanics/delight or my LinkedIn https://www.linkedin.com/in/jystephan/ for updates.
What are some alternatives?
entity-embed - PyTorch library for transforming entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.
Spark Utils - Basic framework utilities to quickly start writing production ready Apache Spark applications
splink - Fast, accurate and scalable probabilistic data linkage with support for multiple SQL backends
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.
mmlspark - Simple and Distributed Machine Learning [Moved to: https://github.com/microsoft/SynapseML]
spark-operator - Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.
rfc8312bis - Revision of RFC8312 "CUBIC for Fast Long-Distance Networks"
netapp-dataops-toolkit - The NetApp DataOps Toolkit is a Python library that makes it simple for developers, data scientists, DevOps engineers, and data engineers to perform various data management tasks, such as near-instantaneously provisioning, cloning, or snapshotting a data volume or JupyterLab workspace.