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-0.7.6.4.tar.gz (47.8 kB view details)

Uploaded Source

Built Distribution

dedupe-0.7.6.4-py2.7-linux-x86_64.egg (118.1 kB view details)

Uploaded Source

File details

Details for the file dedupe-0.7.6.4.tar.gz.

File metadata

  • Download URL: dedupe-0.7.6.4.tar.gz
  • Upload date:
  • Size: 47.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for dedupe-0.7.6.4.tar.gz
Algorithm Hash digest
SHA256 ff68e83477e38b13fbef35737a0b89ef061312b5d4327d9a2b42bff19b7ccb1b
MD5 051df91a776f3c5f902b0440e2fed999
BLAKE2b-256 177198ad97335208337baae93a5d26afa5e3ddd66c56f1340337088c720a9880

See more details on using hashes here.

File details

Details for the file dedupe-0.7.6.4-py2.7-linux-x86_64.egg.

File metadata

File hashes

Hashes for dedupe-0.7.6.4-py2.7-linux-x86_64.egg
Algorithm Hash digest
SHA256 93a8b4ce4c351eecd99d22f8b09a55e568cb17e8de6c2c75bc877623254aa46c
MD5 4b012067c58b890483af4089cabae880
BLAKE2b-256 67dad4461438215272b8f09014ebd513b08ca159d2f50fe3e154e039a1dd1b0b

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