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-0.7.7.1.7.tar.gz (45.9 kB view details)

Uploaded Source

Built Distribution

dedupe-0.7.7.1.7-py2.7-linux-x86_64.egg (121.5 kB view details)

Uploaded Source

File details

Details for the file dedupe-0.7.7.1.7.tar.gz.

File metadata

  • Download URL: dedupe-0.7.7.1.7.tar.gz
  • Upload date:
  • Size: 45.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for dedupe-0.7.7.1.7.tar.gz
Algorithm Hash digest
SHA256 2458654e46fb8fd34840fb437eebde40ad599b0bcf7772f6789c53d001074b63
MD5 9c389eff2ccb66a2f5b9a32533921480
BLAKE2b-256 448bde867c8fa7d961bf5bb3d10f4806c55e40e119b78d1ba2601ebaabdd11fc

See more details on using hashes here.

File details

Details for the file dedupe-0.7.7.1.7-py2.7-linux-x86_64.egg.

File metadata

File hashes

Hashes for dedupe-0.7.7.1.7-py2.7-linux-x86_64.egg
Algorithm Hash digest
SHA256 632bdf3c7cb28af47b4d1b7947a83b1ad7c5bd29af7bca748f36ecc89d18eb0e
MD5 999a97e16c95de5513e2d3fc33610e93
BLAKE2b-256 fb962741d93c67a443b9b788d3418318fb0dce18cdd3213ed41a8bf194c19af1

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