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-0.7.6.9.1.tar.gz (47.8 kB view details)

Uploaded Source

Built Distribution

dedupe-0.7.6.9.1-py2.7-linux-x86_64.egg (118.2 kB view details)

Uploaded Source

File details

Details for the file dedupe-0.7.6.9.1.tar.gz.

File metadata

  • Download URL: dedupe-0.7.6.9.1.tar.gz
  • Upload date:
  • Size: 47.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for dedupe-0.7.6.9.1.tar.gz
Algorithm Hash digest
SHA256 736299002df519b7f70f6d92f3d1ce661db669e0391b4bc48859c5805217d076
MD5 0333f0ebb3c7bba954b68b2bad5906df
BLAKE2b-256 8bcb95f87fc6886018e07e075658d75009bd5e0f63072fb51791222eaeb5fdd0

See more details on using hashes here.

File details

Details for the file dedupe-0.7.6.9.1-py2.7-linux-x86_64.egg.

File metadata

File hashes

Hashes for dedupe-0.7.6.9.1-py2.7-linux-x86_64.egg
Algorithm Hash digest
SHA256 7a9fa4ee7db02739c71b876a3d8142c47f794d3b5c95fe53c7b503ffea8af145
MD5 b592e46976eaae1efea24444b19001f7
BLAKE2b-256 1c8aaab0d20c1912f1e2a1622109eda07ad7c822f7b40d783a949aa95d698036

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