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1–7 of 7 · Most stars

Up to 100x faster strings for C, C++, CUDA, Python, Rust, Swift, JS, & Go, leveraging NEON, AVX2, AVX-512, SVE, GPGPU, & SWAR to accelerate search, hashing, sorting, edit distances, sketches, and memory ops 🦖

📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.

Implementation of various string similarity and distance algorithms: Levenshtein, Jaro-winkler, n-Gram, Q-Gram, Jaccard index, Longest Common Subsequence edit distance, cosine similarity ...

  • java
  • levenshtein-distance
  • cosine-similarity
  • string-distance

📚 String comparison and edit distance algorithms library, featuring : Levenshtein, LCS, Hamming, Damerau levenshtein (OSA and Adjacent transpositions algorithms), Jaro-Winkler, Cosine, etc...

Go implementation to calculate Levenshtein Distance.

  • levenshtein
  • levenshtein-distance
  • golang

Swift μ-framework for efficient array diffs and datasource adapters.

  • edit-distance
  • levenshtein-distance
  • tableview
  • datasource

Levenshtein distance and similarity metrics with customizable edit costs and Winkler-like bonus for common prefix.

  • levenshtein
  • levenshtein-distance
  • similarity-metric
  • common-prefix-bonus