
splink · PyPI
Mar 16, 2020 · Splink is a Python package for probabilistic record linkage (entity resolution) that allows you to deduplicate and link records from datasets that lack unique identifiers.
Splink - GitHub Pages
Splink is a Python package for probabilistic record linkage (entity resolution) that allows you to deduplicate and link records from datasets without unique identifiers.
moj-analytical-services/splink - GitHub
Splink is a Python package for probabilistic record linkage (entity resolution) that allows you to deduplicate and link records from datasets that lack unique identifiers.
Splink: Fast, accurate and scalable record linkage
Sep 23, 2022 · Splink is a free Python package that can be installed in the usual way - using ‘pip install splink’. We recommend users start by looking at our online tutorial, which is part of our main...
Splink 3: Fast, accurate and scalable linkage in Python
Aug 5, 2022 · Splink 3 now offers support for Python and AWS Athena backends, in addition to Spark. It's now easier to use, faster and more flexible, and can be used for close to real time linkage.
Getting Started - Splink - GitHub Pages
To get a basic Splink model up and running, use the following code. It demonstrates how to: Use clustering to generate an estimated unique person ID. If you're using an LLM to suggest Splink code, …
Super-fast deduplication of large datasets using Splink and DuckDB
Jan 18, 2024 · Splink is a free, open source Python library to address this problem. It's designed for use on very large datasets, so speed is imperative. It uses DuckDB as its default backend to achieve fast …
splink/README.md at master · moj-analytical-services/splink
Splink is a Python package for probabilistic record linkage (entity resolution) that allows you to deduplicate and link records from datasets that lack unique identifiers.
Deduplicating and linking large datasets using Splink
Nov 22, 2023 · The result is Splink – which is a Python package that implements the Fellegi-Sunter model, and enables parameters to be estimated using the Expectation Maximisation algorithm.
Introduction - Splink - GitHub Pages
After following the steps of the tutorial, it might prove useful to have a look at some of the example notebooks that show various use-case scenarios of Splink from start to finish. If you'd like to learn …