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Clean Up Your Act: This Blazing Fast Profanity Filter Supports 107 Languages!

Quick Summary: 📝

This TypeScript library provides a highly performant profanity filtering solution supporting 107 languages. It offers features like lazy loading, zero runtime dependencies, and a rich API for checking, detecting, and censoring profanity, with options for customization.

Key Takeaways: 💡

  • ✅ Supports an extensive 107 languages with over 22,800 profanity words.

  • ✅ Achieves blazing fast O(1) performance using Set-based lookups, crucial for high-traffic applications.

  • ✅ Offers a rich and flexible API for checking, detecting, censoring, and customizing word lists.

  • ✅ Zero runtime dependencies, lazy loading, and TypeScript-first design ensure a lightweight and robust solution.

  • ✅ Simplifies multi-language content moderation, helping developers build cleaner and safer online platforms.

Project Statistics: 📊

  • Stars: 16
  • 🍴 Forks: 0
  • Open Issues: 0

Tech Stack: 💻

  • ✅ TypeScript

Maintaining a clean and safe online environment for user-generated content is a constant challenge for developers. Whether you're building a chat application, a social media platform, or a gaming community, dealing with inappropriate language is a critical task. This is where profanity-filter-106 steps in, offering a remarkably comprehensive and efficient solution to tackle profanity across an astonishing 107 languages, boasting over 22,800 profanity words in its arsenal.

What makes this project truly stand out is its sheer breadth and performance. Instead of juggling multiple single-language filters or building your own complex dictionary, profanity-filter-106 provides a unified, super-fast mechanism. It leverages Set-based lookups, which means checking for a profane word takes constant time, regardless of how many words are in its dictionary. This O(1) performance is a game-changer for high-traffic applications where every millisecond counts.

The library is designed with efficiency in mind, featuring lazy loading of locale data. This ensures that language dictionaries are only loaded into memory when they are actually needed, keeping your application's memory footprint minimal. Furthermore, it prides itself on having zero runtime dependencies, making it incredibly lightweight and easy to integrate without introducing unnecessary bloat to your project.

Developers will appreciate its rich and intuitive API. You can easily check() if a string contains profanity, detect() to get detailed results including the specific words and languages matched, or censor() to replace offensive words with asterisks or a custom character/string. The flexibility doesn't stop there; you can even addWords() or removeWords() at runtime, allowing you to tailor the filter to your specific community's needs or evolving language trends. This level of customization ensures that the filter remains relevant and effective.

For those working with modern JavaScript ecosystems, profanity-filter-106 is a dream come true. It's built TypeScript-first, offering full type declarations out of the box, which significantly enhances developer experience, provides better code completion, and helps catch errors early. It also supports both ESM and CommonJS, ensuring seamless integration into virtually any Node.js or browser-based project. By simplifying the complex task of multi-language content moderation, this library empowers developers to create more welcoming and professional digital spaces with minimal effort.

Learn More: 🔗

View the Project on GitHub


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