A python library for accurate and scaleable data deduplication and entity-resolution

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  • License: MIT License (The MIT License: http://www.opensource.org/licenses/mit-license.php)
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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.

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Avatar for Derek.Eder from gravatar.com Derek.Eder Avatar for fgregg from gravatar.com fgregg

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  • License: MIT License (The MIT License: http://www.opensource.org/licenses/mit-license.php)
  • Author: UNKNOWN
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3.0.3

3.0.2

3.0.1

3.0.0

2.0.24

2.0.23

2.0.22

2.0.21

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2.0.3

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2.0.0

1.10.0

1.9.9

1.9.8

1.9.7

1.9.6

1.9.5

1.9.4

1.9.3

1.9.2

1.9.1

1.9.0

1.8.2

1.8.1

1.8.0

1.8.0.dev1 pre-release

1.7.9

1.7.8

1.7.7

1.7.5

1.7.4

1.7.3

1.7.2

1.7.1

1.7.0

1.6.17

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1.6.9

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1.6.0

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1.5.0

1.4.15

1.4.14

1.4.13

1.4.12.1

1.4.12

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1.4.9

1.4.8

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1.4.3

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1.4.0

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1.1.0

1.0.2

1.0.1

1.0.0

1.0.0rc2 pre-release

1.0.0rc1 pre-release

0.8.0.1.7

0.8.0.1.6

0.8.0.1.5

0.8.0.1.4

0.8.0.1.3

0.8.0.1.1

0.8.0.1.0

0.8.0.0.8

0.8.0.0.7

0.8.0.0.6

0.8.0.0.4

0.8.0.0.3

0.8.0.0.2

0.8.0.0.1

0.8.0.0.0

0.7.7.1.9

0.7.7.1.8

0.7.7.1.7

0.7.7.1.6

0.7.7.1.5

0.7.7.1.4

0.7.7.1.3

0.7.7.1.2

0.7.7.1.1

0.7.7.1.0

0.7.7.0.4

0.7.7.0.3

0.7.7.0.2

0.7.7.0.1

0.7.7.0.0

0.7.6.9.5

0.7.6.9.4

0.7.6.9.3

0.7.6.9.2

0.7.6.9.1

0.7.6.9

0.7.6.8

0.7.6.7

This version

0.7.6.5

0.7.6.4

0.7.6.3

0.7.6.2

0.7.6.1

0.7.6.0

0.7.5.0

0.7.4.0

0.7.3.3

0.7.3.2

0.7.3.1

0.7.3

0.6.1

0.6.0

0.5.3.0

0.5.2.1

0.5.2

0.5.1

0.5.0

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