Displaying 1 to 10 from 10 results

StringDistances.jl - String Distances

  •    Julia

The function compare returns a similarity score between two strings. The function always returns a score between 0 and 1, with a value of 0 being completely different and a value of 1 being completely similar. Q-gram distances compare the set of all substrings of length q in each string.

stringosim - String similarity functions, String distance's, Jaccard, Levenshtein, Hamming, Jaro-Winkler, Q-grams, N-grams, LCS - Longest Common Subsequence, Cosine similarity

  •    Go

The plan for this package is to have Go implementation of different string distance/similarity functions, like Levenshtein (normalized, weighted, Damerau), Jaro-Winkler, Jaccard index, Euclidean distance, Hamming distance... Work in progress...

affinegap - :triangular_ruler: A Cython implementation of the affine gap string distance

  •    Python

Help us fix the problem as quickly as possible by following Mozilla's guidelines for reporting bugs. Copyright (c) 2016 Forest Gregg and Dedupeio. Released under the MIT License.

cadmium - Natural Language Processing (NLP) library for Crystal

  •    Crystal

Cadmium is a Natrual Language Processing (NLP) library for Crystal. Included are classes and modules for tokenizing, inflecting, stemming, and creating n-grams with much more to come. It's still in early development, but tests are being written as I go so hopefully it will be somewhat stable.

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

  •    Go

This package implements distance and similarity metrics for strings, based on the Levenshtein measure, in Go. v1.2.1 Stable: Guaranteed no breaking changes to the API in future v1.x releases. Probably safe to use in production, though provided on "AS IS" basis.

Quickenshtein - Making the quickest and most memory efficient implementation of Levenshtein Distance with SIMD and Threading support

  •    CSharp

Quickenshtein gets its speed and memory efficiency from a number of different optimizations. To get the most performance out of the library, you will need .NET Core 3 or higher as this has support for hardware intrinsics. Quickenshtein takes advantage of the following hardware intrinsics. On any recent x86 system, you will likely have these available.

strutil - Golang metrics for calculating string similarity and other string utility functions

  •    Go

strutil provides string metrics for calculating string similarity as well as other string utility functions. Full documentation can be found at: https://pkg.go.dev/github.com/adrg/strutil. The package defines the StringMetric interface, which is implemented by all the string metrics. The interface is used with the Similarity function, which calculates the similarity between the specified strings, using the provided string metric.

TySug - A project around helping to prevent typing typos

  •    Go

TySug is collection of packages, together they form a keyboard layout aware alternative word suggester. It can be used as both a library and a webservice. The primary supported use-case is to help with spelling mistakes against short popular word lists (e.g. domain names). Which is useful in helping to prevent typos in e.g. e-mail addresses, detect spam, phishing (Typosquatting), etc.

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