SimMetrics.Net
A .NET library implementing various string similarity and distance metrics like Levenshtein, Jaro-Winkler, and Soundex.
What is SimMetrics.Net?
SimMetrics.Net is a .NET library that provides implementations of various string similarity and distance metrics. It solves the problem of comparing strings with fuzzy matching by offering algorithms like Levenshtein edit distance, Jaro-Winkler similarity, and phonetic methods such as Soundex.
.NET developers who need to implement fuzzy string matching, duplicate detection, or phonetic comparison in applications like search engines, data cleaning, or record linkage systems.
Developers choose SimMetrics.Net because it consolidates numerous well-tested string similarity algorithms into a single library with broad .NET compatibility, eliminating the need to implement these complex metrics from scratch.
Overview
SimMetrics is a Similarity Metric Library, e.g. from edit distance's (Levenshtein, Gotoh, Jaro etc) to other metrics, (e.g Soundex, Chapman). This library support multiple .NET versions including .NET Core (NETStandard 1.x)
Use Cases
Best For
- Implementing fuzzy search functionality in .NET applications
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