Popularity
2.7
Growing
Activity
5.7
Growing
37
2
2

Description

strutil provides string metrics for calculating string similarity as well as other string utility functions.

Programming language: Go
License: MIT License

strutil-go alternatives and similar packages

Based on the "Utility" category.
Alternatively, view strutil-go alternatives based on common mentions on social networks and blogs.

Do you think we are missing an alternative of strutil-go or a related project?

Add another 'Utility' Package

README

strutil

Build Status Code coverage pkg.go.dev documentation MIT license Go report card GitHub issues Buy me a coffee

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.

Installation

go get github.com/adrg/strutil

String metrics

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.

type StringMetric interface {
    Compare(a, b string) float64
}

func Similarity(a, b string, metric StringMetric) float64 {
}

All defined string metrics can be found in the metrics package.

Hamming

Calculate similarity.

similarity := strutil.Similarity("text", "test", metrics.NewHamming())
fmt.Printf("%.2f\n", similarity) // Output: 0.75

Calculate distance.

ham := metrics.NewHamming()
fmt.Printf("%d\n", ham.Distance("one", "once")) // Output: 2

More information and additional examples can be found on pkg.go.dev.

Levenshtein

Calculate similarity using default options.

similarity := strutil.Similarity("graph", "giraffe", metrics.NewLevenshtein())
fmt.Printf("%.2f\n", similarity) // Output: 0.43

Configure edit operation costs.

lev := metrics.NewLevenshtein()
lev.CaseSensitive = false
lev.InsertCost = 1
lev.ReplaceCost = 2
lev.DeleteCost = 1

similarity := strutil.Similarity("make", "Cake", lev)
fmt.Printf("%.2f\n", similarity) // Output: 0.50

Calculate distance.

lev := metrics.NewLevenshtein()
fmt.Printf("%d\n", lev.Distance("graph", "giraffe")) // Output: 4

More information and additional examples can be found on pkg.go.dev.

Jaro

similarity := strutil.Similarity("think", "tank", metrics.NewJaro())
fmt.Printf("%.2f\n", similarity) // Output: 0.78

More information and additional examples can be found on pkg.go.dev.

Jaro-Winkler

similarity := strutil.Similarity("think", "tank", metrics.NewJaroWinkler())
fmt.Printf("%.2f\n", similarity) // Output: 0.80

More information and additional examples can be found on pkg.go.dev.

Smith-Waterman-Gotoh

Calculate similarity using default options.

swg := metrics.NewSmithWatermanGotoh()
similarity := strutil.Similarity("times roman", "times new roman", swg)
fmt.Printf("%.2f\n", similarity) // Output: 0.82

Customize gap penalty and substitution function.

swg := metrics.NewSmithWatermanGotoh()
swg.CaseSensitive = false
swg.GapPenalty = -0.1
swg.Substitution = metrics.MatchMismatch {
    Match:    1,
    Mismatch: -0.5,
}

similarity := strutil.Similarity("Times Roman", "times new roman", swg)
fmt.Printf("%.2f\n", similarity) // Output: 0.96

More information and additional examples can be found on pkg.go.dev.

Sorensen-Dice

Calculate similarity using default options.

sd := metrics.NewSorensenDice()
similarity := strutil.Similarity("time to make haste", "no time to waste", sd)
fmt.Printf("%.2f\n", similarity) // Output: 0.62

Customize n-gram size.

sd := metrics.NewSorensenDice()
sd.CaseSensitive = false
sd.NgramSize = 3

similarity := strutil.Similarity("Time to make haste", "no time to waste", sd)
fmt.Printf("%.2f\n", similarity) // Output: 0.53

More information and additional examples can be found on pkg.go.dev.

Jaccard

Calculate similarity using default options.

j := metrics.NewJaccard()
similarity := strutil.Similarity("time to make haste", "no time to waste", j)
fmt.Printf("%.2f\n", similarity) // Output: 0.45

Customize n-gram size.

j := metrics.NewJaccard()
j.CaseSensitive = false
j.NgramSize = 3

similarity := strutil.Similarity("Time to make haste", "no time to waste", j)
fmt.Printf("%.2f\n", similarity) // Output: 0.36

The input of the Sorensen-Dice example is the same as the one of Jaccard because the metrics bear a resemblance to each other. In fact, each of the coefficients can be used to calculate the other one.

Sorensen-Dice to Jaccard.

J = SD/(2-SD)

where SD is the Sorensen-Dice coefficient and J is the Jaccard index.

Jaccard to Sorensen-Dice.

SD = 2*J/(1+J)

where SD is the Sorensen-Dice coefficient and J is the Jaccard index.

More information and additional examples can be found on pkg.go.dev.

Overlap Coefficient

Calculate similarity using default options.

oc := metrics.NewOverlapCoefficient()
similarity := strutil.Similarity("time to make haste", "no time to waste", oc)
fmt.Printf("%.2f\n", similarity) // Output: 0.67

Customize n-gram size.

oc := metrics.NewOverlapCoefficient()
oc.CaseSensitive = false
oc.NgramSize = 3

similarity := strutil.Similarity("Time to make haste", "no time to waste", oc)
fmt.Printf("%.2f\n", similarity) // Output: 0.57

More information and additional examples can be found on pkg.go.dev.

References

For more information see:

Stargazers over time

Stargazers over time

Contributing

Contributions in the form of pull requests, issues or just general feedback, are always welcome. See [CONTRIBUTING.MD](CONTRIBUTING.md).

License

Copyright (c) 2019 Adrian-George Bostan.

This project is licensed under the MIT license. See [LICENSE](LICENSE) for more details.


*Note that all licence references and agreements mentioned in the strutil-go README section above are relevant to that project's source code only.