A Python library designed for deduplication purposes, helping to identify and remove duplicate values from datasets efficient enough to handle large datasets.
Dedupe is an impressive Python library that can help you detect similar rows within a table of records such as a CSV file or database. It can also be used for linking the similar rows between two different tables. The processing of records with Dedupe is straightforward and involves three primary steps.
First, the records are indexed into blocks. Then, the comparison function compares all the pairs of records within each block. Finally, the pairs of records are clustered such that they either belong to a match or a non-match cluster.
In summary, if you have a database or CSV file with records that require similarity detection or linking, Dedupe is a reliable tool to consider as it provides a clean and efficient process with clear and accurate output.
First, the records are indexed into blocks. Then, the comparison function compares all the pairs of records within each block. Finally, the pairs of records are clustered such that they either belong to a match or a non-match cluster.
In summary, if you have a database or CSV file with records that require similarity detection or linking, Dedupe is a reliable tool to consider as it provides a clean and efficient process with clear and accurate output.
What's New
Version 2009-06-10: N/A