github-slugger vs slugify vs slug vs url-slug
Slug Generation Libraries Comparison
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What's Slug Generation Libraries?

Slug generation libraries are used in web development to create URL-friendly strings from text. These libraries help convert titles or phrases into a format suitable for URLs by removing special characters, converting spaces to hyphens, and ensuring the string is lowercase. This is essential for SEO and user-friendly URLs, making it easier for users and search engines to understand the content of a page based on its URL.

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github-slugger5,744,46737715.9 kB0-ISC
slugify5,295,5311,66220.9 kB432 years agoMIT
slug331,76037833 kB72 months agoMIT
url-slug248,9898934 kB12 years agoMIT
Feature Comparison: github-slugger vs slugify vs slug vs url-slug

Customization

  • github-slugger:

    github-slugger offers limited customization, primarily focusing on generating unique slugs from Markdown headers. It is designed to work seamlessly with Markdown content, making it less flexible for other use cases.

  • slugify:

    slugify excels in customization, allowing users to define custom replacements for characters, handle different languages, and specify how to treat special characters. This makes it highly adaptable for various applications.

  • slug:

    slug provides basic customization options, allowing you to specify a custom separator and handle case sensitivity. However, it lacks advanced features for localization or special character handling.

  • url-slug:

    url-slug offers some customization options, such as defining separators and handling specific characters, but it is primarily focused on ensuring the generated slugs are URL-safe and compliant with web standards.

Performance

  • github-slugger:

    github-slugger is optimized for performance when generating slugs from Markdown headers, making it efficient for applications that need to process multiple headers quickly. However, its performance may vary with large texts due to its specific focus.

  • slugify:

    slugify may have a slightly higher overhead due to its extensive customization features, but it is still performant for most use cases. It strikes a balance between flexibility and speed, making it suitable for applications that require both.

  • slug:

    slug is lightweight and performs well for basic slug generation tasks. It is designed for speed and efficiency, making it suitable for applications where performance is a priority and complexity is minimal.

  • url-slug:

    url-slug is efficient for generating URL-safe slugs, focusing on performance while ensuring compliance with URL standards. It is designed to handle typical use cases without significant performance drawbacks.

Localization Support

  • github-slugger:

    github-slugger does not provide localization support, as it is primarily designed for generating slugs from English Markdown headers. It is not suitable for applications requiring multilingual slug generation.

  • slugify:

    slugify provides excellent localization support, allowing users to define custom rules for different languages and character sets. This makes it a strong choice for applications that need to support multiple languages and special characters.

  • slug:

    slug offers minimal localization support, primarily focusing on English text. It does not handle special characters or different languages effectively, making it less ideal for international applications.

  • url-slug:

    url-slug has limited localization capabilities, focusing more on URL safety than on handling various languages. It is best suited for applications that do not require extensive localization.

Ease of Use

  • github-slugger:

    github-slugger is easy to use, especially for developers familiar with Markdown. Its straightforward API allows for quick integration, making it a good choice for projects that already utilize Markdown.

  • slugify:

    slugify has a slightly steeper learning curve due to its extensive customization options, but its documentation is comprehensive, making it accessible for developers willing to invest time in learning its features.

  • slug:

    slug is very easy to use with a simple API that requires minimal setup. It is ideal for developers looking for a no-fuss solution for basic slug generation.

  • url-slug:

    url-slug is user-friendly, with a simple API that allows for quick slug generation. It is suitable for developers looking for a straightforward solution without complex configurations.

Community and Maintenance

  • github-slugger:

    github-slugger has a smaller community compared to other slug libraries, but it is actively maintained, especially for projects that involve Markdown. It may lack extensive third-party support or plugins.

  • slugify:

    slugify boasts a larger community and is actively maintained, providing a wealth of resources, plugins, and examples. This makes it a strong candidate for developers looking for support and community-driven enhancements.

  • slug:

    slug has a moderate community and is well-maintained, making it a reliable choice for basic slug generation. However, it may not have as many resources or plugins as more popular libraries.

  • url-slug:

    url-slug has a smaller community but is maintained with a focus on URL safety. It may not have as many resources as larger libraries, but it is reliable for generating compliant slugs.

How to Choose: github-slugger vs slugify vs slug vs url-slug
  • github-slugger:

    Choose github-slugger if you need to generate slugs that are unique and suitable for GitHub-style links, especially when dealing with Markdown headers. It is particularly useful for applications that require consistent slug generation based on headings.

  • slugify:

    Choose slugify if you need a more robust solution with extensive customization options. It allows for localization and can handle various character sets, making it suitable for applications that need to support multiple languages or special characters.

  • slug:

    Choose slug for a lightweight and straightforward solution that focuses on basic slug generation without additional features. It is ideal for projects that require simple and fast slug creation without any dependencies.

  • url-slug:

    Choose url-slug for generating slugs specifically designed for URLs, with a focus on ensuring the slugs are safe and compliant with URL standards. It is useful for projects that prioritize URL safety and need to avoid problematic characters.

Similar Npm Packages to github-slugger

github-slugger is a JavaScript library designed to generate URL-friendly slugs from strings, particularly useful for creating slugs from headings in Markdown documents. It is inspired by the way GitHub generates slugs for section headings in Markdown files, ensuring that the slugs are unique and formatted correctly for use in URLs. This library is particularly handy for developers working on documentation, blogs, or any content management systems where slugs are needed for navigation or linking.

While github-slugger is a great tool for slug generation, there are several alternatives available that also provide similar functionality. Here are a few notable options:

  • slug is a simple library that converts strings into URL-friendly slugs. It handles various characters and ensures that the resulting slugs are clean and easy to read. The slug library is straightforward and effective for basic slug generation needs, making it a good choice for projects that require minimal configuration and quick implementation.
  • slugify is another popular library for generating slugs from strings. It offers more customization options compared to some other libraries, allowing developers to specify different replacement characters and handle various edge cases. If you need more control over the slug generation process or want to customize the output, slugify is an excellent choice.
  • url-slug is a lightweight library that focuses on creating slugs specifically for URLs. It ensures that the generated slugs are safe for use in web addresses and handles a variety of input formats. If your primary concern is generating slugs that are optimized for URLs, url-slug might be the best fit for your project.

To see how github-slugger compares with slug, slugify, and url-slug, check out the comparison: Comparing github-slugger vs slug vs slugify vs url-slug.

Similar Npm Packages to slugify

slugify is a popular npm package used to convert strings into URL-friendly slugs. This is particularly useful for generating clean, readable URLs from titles or other text inputs, making it easier for users and search engines to understand the content of a page. The slugify function typically removes special characters, replaces spaces with hyphens, and converts the text to lowercase, resulting in a string that can be safely used in URLs. While slugify is a great choice for this task, there are several alternatives worth considering:

  • slug is a simple and efficient library for creating slugs from strings. It provides a straightforward API and focuses on generating clean slugs without unnecessary complexity. If you need a lightweight solution that handles basic slug generation, slug is an excellent option. It is easy to use and integrates well with various JavaScript projects, making it a popular choice among developers looking for a no-frills slug generation tool.

  • speakingurl is another alternative that focuses on creating human-readable slugs. It offers more customization options compared to other libraries, allowing developers to define their own character replacements and transformations. This can be particularly useful if you need to generate slugs that adhere to specific formatting rules or if you want to support multiple languages. speakingurl is ideal for projects that require more control over the slug generation process.

  • url-slug is a library designed to convert strings into URL slugs while preserving the original meaning of the text. It aims to create slugs that are both user-friendly and SEO-friendly. url-slug offers various options for customization, such as specifying delimiters and handling special characters. If your project requires slugs that are optimized for search engines and user experience, url-slug is a solid choice.

To see how slugify compares with slug, speakingurl, and url-slug, check out the comparison: Comparing slug vs slugify vs speakingurl vs url-slug.

Similar Npm Packages to slug

slug is a simple utility for generating URL-friendly slugs from strings. It is commonly used in web applications to create readable and SEO-friendly URLs by transforming titles or other text into a format suitable for use in URLs. The slug library helps ensure that the generated slugs are consistent and free of special characters, making them easier to read and share.

While slug provides a straightforward solution for generating slugs, there are alternatives available that offer similar functionality. Here are a few notable options:

  • slugify is a popular library that focuses on converting strings into URL-friendly slugs. It provides a range of options for customizing the slug generation process, including support for different replacement characters, handling of special characters, and more. slugify is a great choice if you need a more feature-rich solution that allows for greater control over the slug creation process, making it suitable for various use cases.
  • url-slug is another library designed for generating slugs from strings. It offers a simple API and focuses on transforming text into a URL-safe format. url-slug is lightweight and easy to use, making it a good option for developers looking for a straightforward solution without the need for extensive configuration. If you want a no-frills approach to slug generation, url-slug may be the right choice for your project.

To see how slug compares with slugify and url-slug, check out the comparison: Comparing slug vs slugify vs url-slug.

Similar Npm Packages to url-slug

url-slug is a lightweight npm package designed to generate URL-friendly slugs from strings. It is particularly useful for creating clean and readable URLs for web applications, blogs, or any content management system. By converting titles or phrases into slugs, it helps improve SEO and enhances user experience. The package offers various options for customizing the slug generation process, such as specifying a custom separator or handling special characters.

While url-slug is a solid choice for slug generation, there are other libraries in the ecosystem that provide similar functionality. Here are a couple of alternatives:

  • slug is a simple and effective library for generating slugs from strings. It focuses on transforming a given string into a URL-friendly format by removing special characters, replacing spaces with hyphens, and converting the text to lowercase. The slug package is straightforward to use and can be a great option for developers looking for a no-frills solution for slug generation.
  • slugify is another popular library for creating slugs from strings. It offers more advanced features compared to some other slug generation libraries, such as support for custom replacements and the ability to handle various character encodings. slugify is particularly useful when you need more control over the slug creation process or when working with international characters.

To see how url-slug compares with slug and slugify, check out the comparison: Comparing slug vs slugify vs url-slug.

README for github-slugger

github-slugger

npm Build

Generate a slug just like GitHub does for markdown headings. It also ensures slugs are unique in the same way GitHub does it. The overall goal of this package is to emulate the way GitHub handles generating markdown heading anchors as close as possible.

This project is not a markdown or HTML parser: passing alpha *bravo* charlie or alpha <em>bravo</em> charlie doesn’t work. Instead pass the plain text value of the heading: alpha bravo charlie.

Install

npm install github-slugger

Usage

import GithubSlugger from 'github-slugger'

const slugger = new GithubSlugger()

slugger.slug('foo')
// returns 'foo'

slugger.slug('foo')
// returns 'foo-1'

slugger.slug('bar')
// returns 'bar'

slugger.slug('foo')
// returns 'foo-2'

slugger.slug('Привет non-latin 你好')
// returns 'привет-non-latin-你好'

slugger.slug('😄 emoji')
// returns '-emoji'

slugger.reset()

slugger.slug('foo')
// returns 'foo'

Check test/fixtures.json for more examples.

If you need, you can also use the underlying implementation which does not keep track of the previously slugged strings (not recommended):

import GithubSlugger, {slug} from 'github-slugger'

slug('foo bar baz')
// returns 'foo-bar-baz'

slug('foo bar baz')
// returns the same slug 'foo-bar-baz' because it does not keep track

Contributing

Contributions welcome! Please read the contributing guidelines first.

License

ISC

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