SimMetrics

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SimMetrics is an open source extensible library of similarity or distance metrics (also known as string metrics).

The SimMetrics open source library includes the following metrics

• Levenshtein distance,
• Block distance or city block distance or L2 distance,
• Cosine similarity,
• Jaccard index,
• Needleman-Wunsch algorithm or Sellers algorithm,
• Smith-Waterman algorithm,
• Gotoh distance or Smith-Waterman-Gotoh distance,
• Monge Elkan distance,
• Jaro distance,
• Jaro-Winkler,
• SoundEx distance,
• Matching coefficient,
• Dice’s coefficient,
• Jaccard similarity or Jaccard coefficient or Tanimoto coefficient,
• Overlap coefficient,
• Euclidean distance,
• Q-gram distance,
• and more.

SimMetrics provides a library of floating-point based (0.0-1.0) similarity measures between pairs of string data as well as the unnormalised metric output.

[edit] External links

• [1][2]
• Second String similar library