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gray-matter
Advanced tools
Front-matter parsing done right. Fast, reliable and easy to use. Parses YAML front matter by default, but also has support for YAML, JSON, TOML or Coffee Front-Matter, with options to set custom delimiters.
The gray-matter npm package is used to parse front-matter from strings or files. Front-matter is metadata stored at the top of a file, typically in YAML or JSON format, which is often used in static site generators and other content management systems.
Parsing Front-Matter
This feature allows you to parse front-matter from a string. The front-matter is typically written in YAML or JSON format and is separated from the content by triple dashes (---). The parsed object contains the metadata and the content separately.
const matter = require('gray-matter');
const file = '---\ntitle: Hello World\ndate: 2023-10-01\n---\nThis is the content of the file.';
const parsed = matter(file);
console.log(parsed);
Stringify Front-Matter
This feature allows you to convert a content string and a metadata object back into a string with front-matter. This is useful for generating files with front-matter programmatically.
const matter = require('gray-matter');
const data = { title: 'Hello World', date: '2023-10-01' };
const content = 'This is the content of the file.';
const stringified = matter.stringify(content, data);
console.log(stringified);
Custom Delimiters
This feature allows you to specify custom delimiters for the front-matter. By default, gray-matter uses triple dashes (---), but you can change this to any string you prefer.
const matter = require('gray-matter');
const file = '+++\ntitle = "Hello World"\ndate = "2023-10-01"\n+++\nThis is the content of the file.';
const parsed = matter(file, { delimiters: '+++' });
console.log(parsed);
The front-matter package is another tool for parsing front-matter from strings. It is simpler and has fewer features compared to gray-matter, but it is also lightweight and easy to use.
The js-yaml package is primarily used for parsing and stringifying YAML, but it can also be used to handle front-matter. It is more general-purpose and powerful for YAML processing, but it requires more setup to use for front-matter specifically.
The marked package is a markdown parser that can also handle front-matter if used in conjunction with other tools. It is more focused on converting markdown to HTML, but it can be extended to support front-matter parsing.
Front-matter parsing done right. Fast, reliable and easy to use. Parses YAML front matter by default, but also has support for YAML, JSON, TOML or Coffee Front-Matter, with options to set custom delimiters.
options.eval
is set to true
options.eval
is set to true
options.eval
is set to true
npm i gray-matter --save
bower install gray-matter --save
var matter = require('gray-matter');
matter('---\ntitle: Front Matter\n---\nThis is content.');
npm test
Parses a string
of front-matter with the given options
, and returns an object.
string
{String}: The string to parse.options
{Object}
delims
{Array}: Custom delimiters formatted as an array. The default is ['---', '---']
.parser
{Function}: Parser function to use. js-yaml is the default.returns
{Object}: Valid JSONmatter('---\ntitle: foo\n---\nbar');
//=> {data: {title: 'foo'}, content: 'bar', orig: '---\ntitle: foo\n---\nbar'}
Read a file and parse front matter. Returns the same object as matter()
.
fp
{String}: file path of the file to read.options
{Object}: Options to pass to gray-matter.returns
: {Object}matter.read('home.md');
Stringify an object to front-matter-formatted YAML, and concatenate it to the given string.
str
{String}: The content string to append to stringified front-matter.data
{Object}: Front matter to stringify.options
{Object}: Options to pass to js-yamlreturns
: {String}matter.stringify('foo bar baz', {title: 'Home'});
Results in:
---
title: Home
---
foo bar baz
All methods accept an options object passed as the last argument
Type: Boolean
Default: false
Evaluate coffee-script, CSON or JavaScript in front-matter. If you aren't aware of the dangers, google is your friend.
Type: String
Default: yaml
The parser to use on the extracted front matter.
YAML is parsed by default, and the languages listed below are parsed automatically if the language is specified after the first delimiter (e.g. ---
).
Valid languages are:
yaml
json
coffee
cson
toml
js
|javascript
Example
To parse coffee front matter, you would define it as follows:
---coffee
title: 'coffee functions'
user: 'jonschlinkert'
fn:
reverse = (src) ->
src.split('').reverse().join('')
---
<%= description %>
<%= reverse(user) %>
Type: Object
Default: {delims: ['---', '---']}
Open and close delimiters can be passed in as an array of strings.
Example:
matter.read('file.md', {delims: ['~~~', '~~~']});
would parse:
~~~
title: Home
~~~
This is the {{title}} page.
Given we have a page, abc.html
, containing:
---
title: YAML Front matter
description: This is a page
---
<h1>{{title}}</h1>
then running the following in the command line:
matter('abc.html');
returns
{
"data": {
"title": "YAML Front matter",
"description": "This is a page"
},
"content": "<h1>{{title}}</h1>",
"original": "---\ntitle: YAML Front matter\n---\n<h1>{{title}}</h1>"
}
Why another YAML Front Matter library?
Because other libraries we tried failed to meet our requirements with Assemble. Some most of the libraries met most of the requirements, but none had all of them. Here are the most important:
Jon Schlinkert
Copyright (c) 2014 Jon Schlinkert
Released under the MIT license
This file was generated by verb on December 05, 2014.
FAQs
Parse front-matter from a string or file. Fast, reliable and easy to use. Parses YAML front matter by default, but also has support for YAML, JSON, TOML or Coffee Front-Matter, with options to set custom delimiters. Used by metalsmith, assemble, verb and
The npm package gray-matter receives a total of 674,022 weekly downloads. As such, gray-matter popularity was classified as popular.
We found that gray-matter demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 3 open source maintainers collaborating on the project.
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