Soenneker.Utils.Strings.LevenshteinDistance
3.0.304
Prefix Reserved
dotnet add package Soenneker.Utils.Strings.LevenshteinDistance --version 3.0.304
NuGet\Install-Package Soenneker.Utils.Strings.LevenshteinDistance -Version 3.0.304
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="Soenneker.Utils.Strings.LevenshteinDistance" Version="3.0.304" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="Soenneker.Utils.Strings.LevenshteinDistance" Version="3.0.304" />
<PackageReference Include="Soenneker.Utils.Strings.LevenshteinDistance" />
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package.
paket add Soenneker.Utils.Strings.LevenshteinDistance --version 3.0.304
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Soenneker.Utils.Strings.LevenshteinDistance, 3.0.304"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
#addin nuget:?package=Soenneker.Utils.Strings.LevenshteinDistance&version=3.0.304
#tool nuget:?package=Soenneker.Utils.Strings.LevenshteinDistance&version=3.0.304
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
Soenneker.Utils.Strings.LevenshteinDistance
A utility library for comparing strings via the Levenshtein Distance algorithm
Installation
dotnet add package Soenneker.Utils.Strings.LevenshteinDistance
Why Levenshtein Distance?
Levenshtein Distance, also known as Edit Distance, is a widely used metric for measuring the similarity between two strings. It calculates the minimum number of operations required to transform one string into the other, where operations include:
- Insertion of a character.
- Deletion of a character.
- Substitution of a character.
Levenshtein Distance is particularly useful in applications like:
Flexible String Comparison:
It handles strings of unequal length and allows for more flexible comparisons.
Real-World Scenarios:
It's well-suited for tasks like:
- Fuzzy string matching.
- Spelling correction.
- DNA sequence analysis.
- Natural language processing.
Position-Aware:
It captures positional changes and structural differences more effectively than set-based metrics like Jaccard or Hamming Distance.
Comprehensive Error Handling:
Unlike simpler metrics, it accounts for insertions and deletions, making it robust for strings with typos or omissions.
Usage
var text1 = "kitten";
var text2 = "sitting";
int distance = LevenshteinDistanceUtil.ComputeDistance(text1, text2); // 3
double similarityPercentage = LevenshteinDistanceUtil.CalculatePercentage(text1, text2); // ~57.14
This library is efficient, straightforward, and ideal for handling real-world string similarity comparisons where flexibility and accuracy are key.
| Product | Versions Compatible and additional computed target framework versions. |
|---|---|
| .NET | net9.0 is compatible. net9.0-android was computed. net9.0-browser was computed. net9.0-ios was computed. net9.0-maccatalyst was computed. net9.0-macos was computed. net9.0-tvos was computed. net9.0-windows was computed. net10.0 was computed. net10.0-android was computed. net10.0-browser was computed. net10.0-ios was computed. net10.0-maccatalyst was computed. net10.0-macos was computed. net10.0-tvos was computed. net10.0-windows was computed. |
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.
-
net9.0
- No dependencies.
NuGet packages
This package is not used by any NuGet packages.
GitHub repositories
This package is not used by any popular GitHub repositories.
| Version | Downloads | Last updated |
|---|---|---|
| 3.0.304 | 129 | 5/27/2025 |
| 3.0.303 | 130 | 5/22/2025 |
| 3.0.302 | 132 | 5/7/2025 |
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| 3.0.1 | 99 | 12/4/2024 |