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

This version

1.2.3

Download files

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

Source Distribution

dedupe-1.2.3.tar.gz (46.5 kB view details)

Uploaded Source

Built Distribution

dedupe-1.2.3-py2.7-linux-x86_64.egg (122.7 kB view details)

Uploaded Source

File details

Details for the file dedupe-1.2.3.tar.gz.

File metadata

  • Download URL: dedupe-1.2.3.tar.gz
  • Upload date:
  • Size: 46.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for dedupe-1.2.3.tar.gz
Algorithm Hash digest
SHA256 3ff023f570b3b0f9020a644bcbdeed4d609f9a6a973afecd01b8d9aada7afcac
MD5 e49257262030dd5a47c847f0f2c11daa
BLAKE2b-256 74693c2fa3eac7eea5b1759a99f33642696946269f183359f8975242d2be4c1c

See more details on using hashes here.

File details

Details for the file dedupe-1.2.3-py2.7-linux-x86_64.egg.

File metadata

File hashes

Hashes for dedupe-1.2.3-py2.7-linux-x86_64.egg
Algorithm Hash digest
SHA256 ca7ce86f9c2e3d67223ae416061d02a3fb945f72171d00e29e2aacd5e332e15e
MD5 af0c484af43a49125e932ead3837a39a
BLAKE2b-256 652b15eb29f458ade768e33a12a8a378520eff09d032966a05c6b5899dbd785f

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