no-profanity

A JavaScript package to detect and filter profanity. Yes this code, contain profanity. But what do you expect from a no-profanity package.

Installation

npm i no-profanity

Credit

Thanks to bad-words for the original package. This package is a rewrite of that package, with some extra features and a lot of performance improvements.

Thanks to google-profanity-words for providing the list of profanities.

Usage

Using the no-profanity package is very simple. You can use it to detect profanity, or to filter profanity from a string. There are some basic options as well, such as overriding the placeholder character, or adding/removing words from the filterlist.

Check if a string contains profanity

A basic sample showing a simple checker

import { isProfane } from 'no-profanity';
console.log(isProfane("Don't be an asshole")); // true
console.log(isProfane("This is a nice text")); // false

Replace profanity in a string

A basic sample showing how to replace profanities

import { replaceProfanities } from 'no-profanity';
console.log(replaceProfanities("Don't be an asshole")); // Don't be an *******
console.log(replaceProfanities("This is a nice text")); // This is a nice text

Get profanities from a string

A basic sample returning the profanities

console.log(containsProfanities("what an asshole"));

Will return:

[ { 
    word: 'asshole', 
    index: 8 
} ]

Options

There are some overrides possible, but as soon as you want to use an override you will no longer be able pass a string to the functions defined above, but instead, they require an arguments object, like this:

replaceProfanities({
    testString: "testable string",
    options: {}
});

Override placeholder

The options object should contain a property called replacement which should be a string of length 1, unless you want a longer replacement value as the original wordlength. The default value is *.

replaceProfanities({
    testString: "testable string",
    options: {
        replacement: '#'
    }
});

Remove words from the filterlist

The options object should contain a property called excludes which should be an array of strings you don't want to filter on.

replaceProfanities({
    testString: "testable string",
    options: {
        excludes: ['testable']
    }
});

You can also remove all words from the filter list so you can start your own, using the emptyList property.

replaceProfanities({
    testString: "testable string",
    options: {
        emptyList: true
    }
});

Add words to the filterlist

The options object should contain a property called includes which should be an array of strings you want to filter on.

replaceProfanities({
    testString: "testable string",
    options: {
        includes: ['testable']
    }
});

Pre-sanitize the string

The options object has the option to contain a regex pattern to sanitize the string before checking for profanities.

replaceProfanities({
    testString: "testable string",
    options: {
        preSanitize: /[^a-zA-Z0-9]/g
    }
});

All matches will be replaced with an empty string. If you want to change the replacement for preSanitize, you can use the preSanitizeReplacement property.

replaceProfanities({
    testString: "tabs are the best",
    options: {
        preSanitizeReplacement: "spaces",
        preSanitize: /\btabs\b/,
    }
});

bad-words package

This package is the replacement for the bad-words package which is outdated and slow. According to a handful of benchmarks, this package is about 150 times as fast.

See also this page for more information and the migration guide.

Most options from the bad-words package are usable in the options object to be used in this package. However, the replaceRegex option is not supported.

Contributing

Any contributions are highly appreciated. If you want to contribute, please fork the repository and create a pull request. If you have any questions, feel free to create an issue.

License

This project is licensed under the MIT License - see the LICENSE file for details. With MIT comes the freedom to use the code for whatever you want, but a credit would be appreciated.