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README.md

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-# splink: Probabilistic record linkage and deduplication at scale
+✨✨ **Note to new users:** ✨✨
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+Version 3 of Splink is in development that will make it simpler and more intuitive to use.  It also removes the need for PySpark for smaller data linkages of up to around 1 million records.  You can try it by installing a [pre-release](https://pypi.org/project/splink/#history), or in the new demos [here](https://github.com/moj-analytical-services/splink_demos/tree/splink3_demos).  For new users, it may make sense to work with the new version, because it is quicker to learn.  However, note that the new code is not yet fully tested.
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+# Splink: Probabilistic record linkage and deduplication at scale
 
 `splink` implements Fellegi-Sunter's canonical model of record linkage in Apache Spark, including the EM algorithm to estimate parameters of the model.