Skip to main content

A python library for accurate and scaleable data deduplication and entity-resolution

Project description

dedupe is a library that uses machine learning to perform de-duplication and entity resolution quickly on structured data.

dedupe will help you:

  • remove duplicate entries from a spreadsheet of names and addresses

  • link a list with customer information to another with order history, even without unique customer id’s

  • take a database of campaign contributions and figure out which ones were made by the same person, even if the names were entered slightly differently for each record

dedupe takes in human training data and comes up with the best rules for your dataset to quickly and automatically find similar records, even with very large databases.

Important links:

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dedupe-1.0.0rc1.tar.gz (47.0 kB view details)

Uploaded Source

File details

Details for the file dedupe-1.0.0rc1.tar.gz.

File metadata

  • Download URL: dedupe-1.0.0rc1.tar.gz
  • Upload date:
  • Size: 47.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for dedupe-1.0.0rc1.tar.gz
Algorithm Hash digest
SHA256 76aa165fdc0d52d86fe787cdb78fa2f11781bb0e0fe7f85152608a14c3bb65e3
MD5 88afaab6c5c1646da15e75659a47fa5e
BLAKE2b-256 6aaaa92c5fe25e31c6a6d50825f111d27dbc92b071ba89a6146412f1e58619db

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page