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socialgood

v1.0.0

Published

Detect duplicate records using Hamming distance

Readme

socialgood

Detect duplicate records using Hamming distance. Zero dependencies.

Works with plain strings or objects (compares selected fields). Returns a similarity score and lets you set a threshold for what counts as a duplicate.

Install

npm install socialgood

Quick Start

const { isDuplicate, findDuplicates, deduplicate } = require('socialgood');

// Compare two strings
isDuplicate('hello world', 'hello worlt');
// { isDuplicate: true, similarity: 0.909091, distance: 1 }

// Compare two records
isDuplicate(
  { name: 'John Smith', email: '[email protected]' },
  { name: 'John Smtih', email: '[email protected]' }
);
// { isDuplicate: true, similarity: ..., distance: 1 }

// Find all duplicate pairs in a list
findDuplicates([
  { name: 'Alice', email: '[email protected]' },
  { name: 'alice', email: '[email protected]' },
  { name: 'Bob', email: '[email protected]' }
]);
// [{ indexA: 0, indexB: 1, similarity: 1, distance: 0 }]

// Remove duplicates, keeping the first occurrence
deduplicate(['hello', 'hello', 'world']);
// ['hello', 'world']

API

hammingDistance(a, b)

Returns the number of positions where characters differ between two strings. Length differences count as mismatches.

similarity(a, b)

Returns a normalized score from 0 (completely different) to 1 (identical).

isDuplicate(a, b, [options])

Compare two records (strings or objects) and determine if they are duplicates.

Options:

| Option | Type | Default | Description | |---|---|---|---| | threshold | number | 0.85 | Similarity at or above this value is considered a duplicate (0-1). | | fields | string[] | all keys | Which object keys to compare. | | caseSensitive | boolean | false | If true, comparisons are case-sensitive. |

Returns: { isDuplicate: boolean, similarity: number, distance: number }

findDuplicates(records, [options])

Find all duplicate pairs in an array. Takes the same options as isDuplicate.

Returns: Array<{ indexA: number, indexB: number, similarity: number, distance: number }>

deduplicate(records, [options])

Remove duplicates from an array, keeping the first occurrence. Takes the same options as isDuplicate.

Returns: Array with duplicates removed.

How It Works

Hamming distance counts the number of positions where corresponding characters differ between two strings. This library:

  1. Serializes object records into strings (using selected fields, joined with a null separator to prevent collisions)
  2. Normalizes by lowercasing and trimming (unless caseSensitive is set)
  3. Pads strings to equal length
  4. Computes Hamming distance and normalizes it to a 0-1 similarity score
  5. Compares against the threshold to determine duplicates

License

Apache 2.0 -- If you use this package, you must give credit by:

  1. Including the LICENSE and NOTICE files in any redistribution
  2. Stating any changes you made to the source
  3. Preserving all copyright and attribution notices

See LICENSE for full terms.