Ada is a high-performance, WHATWG-compliant URL parser written in C++. Designed with a focus on compliance, performance, and security, it provides a robust solution for parsing and normalizing URLs across multiple platforms and programming languages. It has been battle-tested and is currently used as the default URL parser in Node.js since version 18.16.0, as well as being utilized by prominent systems like Cloudflare Workers, Redpanda, Kong, Telegram, and DataDog. The library adheres to web platform tests to ensure full compatibility with the URL specification.

Functionality of the library centers on the efficient validation, normalization, and querying of URL strings. Ada supports Unicode Technical Standards and includes a full implementation of the URLPattern API that remains compatible with web-platform testing requirements. By leveraging optimized C++ code, Ada significantly reduces the latency typically associated with URL processing in complex applications.

Some of the key features are:

• High Performance: Parses millions of URLs per second with significantly lower latency compared to many alternatives.
• WHATWG Compliance: Strictly follows the WHATWG URL specification for reliable web compatibility.
• Multi-language Support: Offers native clients and bindings for C++, Rust, Python, Go, Kotlin, LuaJIT, and D.
• URLPattern Implementation: Provides full support for matching URLs against patterns via the URLPattern standard.
• Memory Efficient: Backed by optimized architectures to ensure minimal resource consumption during high-frequency parsing.
• Security Focused: Rigorously tested by Google OSS Fuzzer to ensure safety against edge-case exploits.

Ada is used by developers through its C++ API or via language-specific packages like ada-url for Python and Rust. The installation process is straightforward, with support for major package managers like Homebrew and binary wheels on PyPI. For advanced use cases, the library can be compiled from source using CMake, with options to enable SIMD-accelerated Unicode processing. The included adaparse command-line tool allows users to perform batch URL validation, transformation, and benchmarking directly from the terminal. The tool is designed to work efficiently with piped input, making it suitable for high-throughput data processing workflows.

Some common use cases include:

• Web Servers: Implementing high-speed URL routing and normalization within middleware.
• Security Auditing: Rapidly validating and parsing massive lists of URLs to detect phishing or malicious patterns.
• Data Engineering: Processing millions of URLs for large-scale web scraping, indexing, or link analysis tasks.
• Cross-Platform Development: Maintaining consistent URL parsing behavior across diverse application backends and frontend environments.