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:

Release history Release notifications | RSS feed

This version

1.6.5

Download files

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

Source Distribution

dedupe-1.6.5.tar.gz (47.3 kB view hashes)

Uploaded source

Built Distributions

dedupe-1.6.5-cp34-cp34m-win_amd64.whl (50.2 kB view hashes)

Uploaded cp34

dedupe-1.6.5-cp34-cp34m-win32.whl (49.5 kB view hashes)

Uploaded cp34

dedupe-1.6.5-cp27-cp27m-win_amd64.whl (50.3 kB view hashes)

Uploaded cp27

dedupe-1.6.5-cp27-cp27m-win32.whl (49.5 kB view hashes)

Uploaded cp27

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page