R vs Splink

R is a free software environment for statistical computing, with graphics, statistical tests, regression models, and scripting support. It runs on Windows and macOS, as well as a wide range of UNIX platforms. Its import options cover text, XML, spreadsheet-like files, Excel, SPSS, SAS, and Stata, along with databases, binary files, and image files. Downloads are provided through preferred CRAN mirrors, and the project offers FAQs about installation and licensing. Documentation resources include manuals, journals, books, and certification links; community resources include mailing lists and developer pages. Questions about the software are directed to the Getting Help section. The listed current release is R 4.6.1, named Happy Hop, released June 24, 2026; version 4.5.3 is described as a wrap-up release. R was founded in 1990, and its maker is listed as R, headquartered in Vienna, Austria.

Splink is a free Python package for probabilistic record linkage: it deduplicates and connects records without unique identifiers. Its core algorithm is based on the Fellegi–Sunter model, and it can train models without training data using an unsupervised approach. Matching supports term-frequency adjustments and user-defined fuzzy logic. Interactive outputs help users inspect models and diagnose linkage problems. Splink documents DuckDB, Spark, PostgreSQL, and SQLite backends; DuckDB is installed by default, while Spark and PostgreSQL have optional installs. The project says it can run with big-data backends such as Spark on datasets of 100 million or more records, and can link a million records on a laptop in around a minute. It works best with standardised data containing multiple columns that are not highly correlated. Installation is through pip or conda and requires Python 3.10 or later. The project lists Linux and self-hosted use and an MIT license.