Crandore Hub

zoomerjoin

Superlatively Fast Fuzzy Joins

Empowers users to fuzzily-merge data frames with millions or tens of millions of rows in minutes with low memory usage. The package uses the locality sensitive hashing algorithms developed by Datar, Immorlica, Indyk and Mirrokni (2004) <doi:10.1145/997817.997857>, and Broder (1998) <doi:10.1109/SEQUEN.1997.666900> to avoid having to compare every pair of records in each dataset, resulting in fuzzy-merges that finish in linear time.

Versions across snapshots

VersionRepositoryFileSize
0.2.3 rolling source/ R- zoomerjoin_0.2.3.tar.gz 4.7 MiB
0.2.3 latest source/ R- zoomerjoin_0.2.3.tar.gz 4.7 MiB
0.2.3 2026-04-23 source/ R- zoomerjoin_0.2.3.tar.gz 4.7 MiB
0.2.3 2026-04-09 windows/windows R-4.5 zoomerjoin_0.2.3.zip 864.4 KiB

Dependencies (latest)

Imports

Suggests