string-natural-compare vs fuse.js vs string-similarity vs natural
String Matching and Similarity Comparison
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What's String Matching and Similarity?

String matching and similarity libraries in JavaScript provide tools for comparing strings to determine how alike they are. These libraries use various algorithms to calculate similarity scores, find matches, or perform fuzzy searching. They are useful in applications like search engines, data cleaning, and natural language processing. fuse.js is a powerful, lightweight fuzzy search library that allows for fast, client-side searching with customizable algorithms. natural is a comprehensive natural language processing library that includes string similarity, tokenization, and more, making it suitable for complex NLP tasks. string-natural-compare provides a simple way to compare strings using natural sorting algorithms, which is useful for ordering lists in a human-friendly manner. string-similarity is a lightweight library focused on calculating similarity scores between strings using various algorithms, ideal for applications that need precise similarity measurements.

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string-natural-compare4,426,72849-15 years agoMIT
fuse.js3,634,30718,845456 kB15a month agoApache-2.0
string-similarity2,575,0772,525-234 years agoISC
natural210,85310,71613.8 MB817 months agoMIT
Feature Comparison: string-natural-compare vs fuse.js vs string-similarity vs natural

Purpose and Functionality

  • string-natural-compare:

    string-natural-compare focuses on comparing strings using natural sorting algorithms. It is particularly useful for ordering strings in a way that aligns with human intuition, making it ideal for applications that need to display sorted lists.

  • fuse.js:

    fuse.js is designed for fuzzy searching, allowing users to find matches in a dataset even when the input is not an exact match. It is highly configurable, enabling developers to adjust the sensitivity of the search and specify which fields to search.

  • string-similarity:

    string-similarity specializes in calculating similarity scores between two strings using various algorithms. It is lightweight and efficient, making it suitable for applications that need to measure how alike two strings are for tasks like deduplication or matching.

  • natural:

    natural provides a wide range of natural language processing tools, including string similarity, tokenization, and stemming. It is more than just a string comparison library, making it suitable for projects that require comprehensive language processing capabilities.

Algorithm Complexity

  • string-natural-compare:

    string-natural-compare uses a natural comparison algorithm that is efficient for sorting and comparing strings. Its complexity is low, making it suitable for applications that need quick comparisons without heavy computational costs.

  • fuse.js:

    fuse.js uses a combination of fuzzy matching and scoring algorithms to find and rank matches. The complexity can vary based on the dataset size and the configuration of the search, but it is optimized for performance in client-side applications.

  • string-similarity:

    string-similarity offers multiple algorithms for calculating similarity scores, including Levenshtein distance and Jaro-Winkler. The library is designed to be efficient, with a focus on providing accurate similarity measurements without significant performance overhead.

  • natural:

    natural implements several string similarity algorithms, including Levenshtein distance, Jaro-Winkler, and more. The complexity of these algorithms varies, with some being more computationally intensive than others, but the library provides a good balance between accuracy and performance.

Customization

  • string-natural-compare:

    string-natural-compare is straightforward and does not offer much customization, as it is designed to perform a specific task: natural string comparison. It is best used as-is for its intended purpose.

  • fuse.js:

    fuse.js is highly customizable, allowing developers to configure the search algorithm, specify which fields to search, and adjust the sensitivity of the matching. This flexibility makes it suitable for a wide range of applications and datasets.

  • string-similarity:

    string-similarity allows for some customization in terms of the algorithms used to calculate similarity. Developers can choose which algorithm to use based on their needs, but the library is designed to be simple and easy to use without extensive configuration.

  • natural:

    natural provides some level of customization, particularly in terms of the algorithms used for string similarity. However, it is more focused on providing a comprehensive set of tools rather than being highly configurable for specific use cases.

Ease of Use: Code Examples

  • string-natural-compare:

    Natural comparison with string-natural-compare

    const naturalCompare = require('string-natural-compare');
const arr = ['apple', 'banana', 'apple10', 'apple2'];
arr.sort(naturalCompare);
console.log(arr); // Sorted array: ['apple', 'apple10', 'apple2', 'banana']
  • fuse.js:

    Fuzzy search with fuse.js

    const Fuse = require('fuse.js');
const list = [
  { name: 'Apple' },
  { name: 'Banana' },
  { name: 'Orange' },
];
const options = { keys: ['name'] };
const fuse = new Fuse(list, options);
const result = fuse.search('Appl'); // Fuzzy search for 'Appl'
console.log(result);
  • string-similarity:

    String similarity with string-similarity

    const stringSimilarity = require('string-similarity');
const str1 = 'kitten';
const str2 = 'sitting';
const similarity = stringSimilarity.compareTwoStrings(str1, str2);
console.log(similarity); // Similarity score between 0 and 1
  • natural:

    String similarity with natural

    const natural = require('natural');
const string1 = 'Hello';
const string2 = 'Hallo';
const similarity = natural.JaroWinklerDistance(string1, string2);
console.log(similarity); // Similarity score between 0 and 1
How to Choose: string-natural-compare vs fuse.js vs string-similarity vs natural
  • string-natural-compare:

    Use string-natural-compare when you need a simple and efficient way to compare strings using natural sorting. It is perfect for applications that require human-friendly ordering of strings without additional complexity.

  • fuse.js:

    Choose fuse.js if you need a fast, client-side fuzzy search solution with customizable matching algorithms. It is ideal for applications that require real-time search functionality with minimal setup.

  • string-similarity:

    Opt for string-similarity if you need a lightweight library focused on calculating similarity scores between strings. It is ideal for applications that require accurate similarity measurements without the overhead of a larger library.

  • natural:

    Select natural if you require a comprehensive suite of natural language processing tools, including advanced string similarity algorithms, tokenization, and language processing features. It is suitable for projects that need more than just string comparison.

Similar Npm Packages to string-natural-compare

string-natural-compare is a JavaScript library that provides a natural sorting algorithm for strings. It allows developers to sort arrays of strings in a way that is more intuitive to human readers, taking into account numerical values and other factors that traditional string sorting might overlook. This can be particularly useful in applications where user-friendly sorting is essential, such as in search results or lists of items.

While string-natural-compare offers a specialized solution for natural string comparison, there are several alternatives in the JavaScript ecosystem that provide similar functionalities. Here are a few noteworthy options:

  • fuse.js is a powerful fuzzy-search library that allows for searching through arrays of objects. It provides a flexible and efficient way to perform fuzzy matching, making it ideal for applications that require searching through large datasets. While it is primarily focused on search functionality, its scoring and ranking capabilities can also be useful for sorting results based on relevance, making it a versatile tool for developers looking to enhance user experience in search interfaces.

  • natural is a general natural language processing (NLP) library for JavaScript. It provides various tools for text processing, including tokenization, stemming, and classification. While it is broader in scope than string-natural-compare, it includes functionalities for string comparison and similarity, making it a good choice for applications that require more comprehensive NLP capabilities alongside string comparison.

  • string-similarity is a library that provides a simple way to compare strings and determine their similarity. It uses algorithms to calculate a similarity score between two strings, which can be useful for applications that need to identify duplicates or similar entries. If your use case involves comparing strings for similarity rather than sorting, string-similarity may be a more appropriate choice.

To explore how string-natural-compare compares with fuse.js, natural, and string-similarity, check out the comparison: Comparing fuse.js vs natural vs string-natural-compare vs string-similarity.

Similar Npm Packages to fuse.js

fuse.js is a powerful, lightweight fuzzy-search library that allows developers to perform fuzzy searching on large datasets. It provides a simple and efficient way to search through arrays of objects, returning results that match the search query even when there are minor typos or variations in the input. This makes it an excellent choice for applications that require user-friendly search functionality, such as autocomplete features or search bars.

While fuse.js is a popular choice for fuzzy searching, there are several alternatives available in the ecosystem. Here are a few noteworthy options:

  • elasticlunr is a lightweight full-text search library that is inspired by Elasticsearch. It allows you to create an index of documents and perform searches with various query capabilities. Elasticlunr is particularly useful for applications that require more structured search capabilities, such as filtering and scoring, while still being easy to set up and use. If you need a more robust search solution with features like tokenization and stemming, elasticlunr is worth considering.
  • fuzzy-search is a simple and straightforward fuzzy search library that allows you to search through arrays of strings or objects. It provides a basic implementation of fuzzy searching without the additional features that come with more complex libraries. If you are looking for a minimalistic solution for fuzzy searching that is easy to integrate and use, fuzzy-search is a great option.
  • fuzzysearch is another lightweight library that provides a simple way to perform fuzzy searches on strings. It focuses on matching substrings within a larger string, making it suitable for applications that require basic fuzzy matching capabilities. If your needs are simple and you want a no-frills approach to fuzzy searching, fuzzysearch is a suitable choice.
  • fuzzysort is a fast and efficient fuzzy search library that is designed for performance. It allows you to search through large datasets quickly and returns results based on the relevance of the matches. Fuzzysort is particularly useful for applications that require real-time search capabilities, such as live search features in user interfaces. If performance is a critical factor for your application, fuzzysort is an excellent alternative.

To see how fuse.js compares with elasticlunr, fuzzy-search, fuzzysearch, and fuzzysort, check out the comparison: Comparing elasticlunr vs fuse.js vs fuzzy-search vs fuzzysearch vs fuzzysort.

Similar Npm Packages to string-similarity

string-similarity is a JavaScript library designed to compare strings and determine their similarity. It provides a simple API to calculate similarity scores between two strings, which can be useful in various applications such as search engines, recommendation systems, and data deduplication. The library uses algorithms like the Levenshtein distance to compute how closely two strings match, making it a handy tool for developers looking to enhance text processing capabilities in their applications.

While string-similarity is a powerful tool, there are several alternatives in the JavaScript ecosystem that offer similar functionalities. Here are a few noteworthy alternatives:

  • fuzzyset is a library that provides fuzzy string matching capabilities. It allows you to create a set of strings and then query that set for similar strings based on a defined similarity threshold. This is particularly useful for applications that require searching through large datasets for approximate matches. Fuzzyset is designed to handle cases where exact matches are not necessary, making it ideal for applications like search and autocomplete features.

  • natural is a general natural language processing (NLP) library for JavaScript. It includes a variety of tools for text processing, including string similarity functions. Natural provides a broader set of features beyond just string comparison, such as tokenization, stemming, and classification. If your project requires more comprehensive NLP capabilities alongside string similarity, natural can be a great choice.

  • similarity is another library focused on calculating the similarity between strings. It offers a straightforward API for comparing strings and provides various algorithms to choose from. Similarity is lightweight and easy to use, making it suitable for projects that need a simple solution for string comparison without the overhead of additional features.

To explore how string-similarity compares with fuzzyset, natural, and similarity, check out the comparison: Comparing fuzzyset vs natural vs similarity vs string-similarity.

Similar Npm Packages to natural

natural is a general natural language processing (NLP) library for Node.js. It provides a suite of tools for various NLP tasks, including tokenization, stemming, classification, phonetics, and more. With its easy-to-use API, developers can integrate natural language processing capabilities into their applications without needing extensive knowledge of the underlying algorithms. Natural is particularly useful for projects that require text analysis, language understanding, or any form of linguistic processing.

While natural offers a robust set of features, there are other libraries that also provide NLP functionalities. Here are a few alternatives:

  • compromise is a lightweight NLP library that focuses on providing a simple and intuitive API for processing and understanding natural language. It excels in tasks such as part-of-speech tagging, named entity recognition, and text manipulation. Compromise is particularly well-suited for applications that require quick and efficient text processing without the overhead of more complex NLP libraries. Its flexible and modular design allows developers to easily extend its capabilities to fit their specific needs.
  • retext is a powerful text processing library that focuses on natural language processing and analysis. It is built on a plugin architecture, allowing developers to create custom plugins for specific tasks, such as linting, transforming, or analyzing text. Retext is ideal for projects that require a more modular approach to text processing, as it enables developers to compose various plugins to achieve complex NLP tasks. If your application needs to perform extensive text analysis or transformation, retext provides a flexible and extensible framework.

To see how natural compares with compromise and retext, check out the comparison: Comparing compromise vs natural vs retext.

README for string-natural-compare

String Natural Compare

NPM Version Build Status Coverage Status Dependencies Status

Compare alphanumeric strings the same way a human would, using a natural order algorithm (originally known as the alphanum algorithm) where numeric characters are sorted based on their numeric values rather than their ASCII values.

Standard sorting:   Natural order sorting:
    img1.png            img1.png
    img10.png           img2.png
    img12.png           img10.png
    img2.png            img12.png

This module exports a function that returns a number indicating whether one string should come before, after, or is the same as another string. It can be used directly with the native .sort() array method.

Fast and Robust

This module can compare strings containing any size of number and is heavily tested with a custom benchmark suite to make sure that it is as fast as possible.

Installation

npm install string-natural-compare --save
# or
yarn add string-natural-compare

Usage

naturalCompare(strA, strB[, options])

  • strA (string)
  • strB (string)
  • options (object) - Optional options object with the following options:
    • caseInsensitive (boolean) - Set to true to compare strings case-insensitively. Default: false.
    • alphabet (string) - A string of characters that define a custom character ordering. Default: undefined.
const naturalCompare = require('string-natural-compare');

// Simple, case-sensitive sorting
const files = ['z1.doc', 'z10.doc', 'z17.doc', 'z2.doc', 'z23.doc', 'z3.doc'];
files.sort(naturalCompare);
// -> ['z1.doc', 'z2.doc', 'z3.doc', 'z10.doc', 'z17.doc', 'z23.doc']


// Case-insensitive sorting
const chars = ['B', 'C', 'a', 'd'];
const naturalCompareCI = (a, b) => naturalCompare(a, b, {caseInsensitive: true});
chars.sort(naturalCompareCI);
// -> ['a', 'B', 'C', 'd']

// Note:
['a', 'A'].sort(naturalCompareCI); // -> ['a', 'A']
['A', 'a'].sort(naturalCompareCI); // -> ['A', 'a']


// Compare strings containing large numbers
naturalCompare(
  '1165874568735487968325787328996865',
  '265812277985321589735871687040841'
);
// -> 1
// (Other inputs with the same ordering as this example may yield a different number > 0)


// Sorting an array of objects
const hotelRooms = [
  {street: '350 5th Ave', room: 'A-1021'},
  {street: '350 5th Ave', room: 'A-21046-b'}
];
// Sort by street (case-insensitive), then by room (case-sensitive)
hotelRooms.sort((a, b) => (
  naturalCompare(a.street, b.street, {caseInsensitive: true}) ||
  naturalCompare(a.room, b.room)
));


// When text transformation is needed or when doing a case-insensitive sort on a
// large array of objects, it is best for performance to pre-compute the
// transformed text and store it on the object. This way, the text will not need
// to be transformed for every comparison while sorting.
const cars = [
  {make: 'Audi', model: 'R8'},
  {make: 'Porsche', model: '911 Turbo S'}
];
// Sort by make, then by model (both case-insensitive)
for (const car of cars) {
  car.sortKey = (car.make + ' ' + car.model).toLowerCase();
}
cars.sort((a, b) => naturalCompare(a.sortKey, b.sortKey));


// Using a custom alphabet (Russian alphabet)
const russianOpts = {
  alphabet: 'АБВГДЕЁЖЗИЙКЛМНОПРСТУФХЦЧШЩЪЫЬЭЮЯабвгдеёжзийклмнопрстуфхцчшщъыьэюя',
};
['Ё', 'А', 'б', 'Б'].sort((a, b) => naturalCompare(a, b, russianOpts));
// -> ['А', 'Б', 'Ё', 'б']

Note: Putting numbers in the custom alphabet can cause undefined behaviour.

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