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

1.2.2

Download files

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

Source Distribution

dedupe-1.2.2.tar.gz (46.4 kB view details)

Uploaded Source

Built Distribution

dedupe-1.2.2-py2.7-linux-x86_64.egg (122.6 kB view details)

Uploaded Source

File details

Details for the file dedupe-1.2.2.tar.gz.

File metadata

  • Download URL: dedupe-1.2.2.tar.gz
  • Upload date:
  • Size: 46.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for dedupe-1.2.2.tar.gz
Algorithm Hash digest
SHA256 3de4c7308022574261a406890dfa6c229aa3611da0a5e277f407705013768b14
MD5 961d418f9bfc7cd9ccafc462046d5411
BLAKE2b-256 5874d6a156b580364ed23ad08a040ea2098228d9d56a5435924a5a62b22667c4

See more details on using hashes here.

File details

Details for the file dedupe-1.2.2-py2.7-linux-x86_64.egg.

File metadata

File hashes

Hashes for dedupe-1.2.2-py2.7-linux-x86_64.egg
Algorithm Hash digest
SHA256 fe3eb031553e1de01f288f655198931544f258da659af99fe4907ba7c9644c95
MD5 9500098ad9f3fdedd0f363b51852a8fb
BLAKE2b-256 ad609ac41e332fa182d2edd38f53919c45fff0039d77d05fec252d7a89f10e0c

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