--- id: can-ada version: "3.0.0" license: MIT license_treatment: permissive maintenance: aging --- # can-ada — Ada is a fast spec-compliant url parser License: permissive · Maintenance: aging · Downloads: 132.4K/mo ## What it is and what it does can_ada is a Python binding to Ada, a WHATWG-compliant URL parser written in C++. It parses URLs and query strings according to the official web standard, which differs from Python's urllib.parse in handling internationalized domain names, path normalization, and other edge cases. The package provides a parse() function that returns a URL object with properties like hostname, pathname, protocol, and search, plus a URLSearchParams class for manipulating query parameters. It has no runtime dependencies and is distributed as precompiled wheels for most platforms. The main value proposition is speed—the documentation shows it performs roughly 4x faster than urllib.parse on typical workloads—combined with standards compliance. It's useful when you need correct URL parsing according to web specifications rather than Python's historical behavior, or when URL parsing is a performance bottleneck. Installation requires a C++17 compiler if a wheel is not available for your platform. Use it for: - Parsing and normalizing URLs in web scrapers or HTTP clients where WHATWG compliance matters - Building URL manipulation tools that need to correctly handle internationalized domain names and path normalization - High-throughput URL processing where the 4x performance gain over urllib justifies the dependency - Handling query parameters with the URLSearchParams API when multiple values per key are needed - Migrating from Node.js or browser-based URL parsing to Python while maintaining identical behavior ## Worth the install? AI-flagged interpretation of the facts above — verify before relying. Parses and manipulates URLs according to the WHATWG specification, offering a faster alternative to Python's standard urllib.parse with support for URL modification and query parameter handling. Yes, if you need WHATWG-compliant URL parsing or are performance-sensitive on URL operations. The MIT license, lack of runtime dependencies, and active maintenance make it low-risk. Install only if standard urllib.parse behavior is insufficient or speed is critical; otherwise urllib is built-in and adequate. ## Install pip install can-ada uv add can-ada poetry add can-ada ## Installing can-ada Before you install: Medium install friction due to C++17 compilation requirement when wheels are unavailable, though binary wheels cover most common platforms. The package is actively maintained with recent releases and no known vulnerabilities. License in practice: MIT license permits unrestricted use, modification, and distribution with minimal restrictions—suitable for both open-source and commercial projects. Quickstart: pip install can_ada from can_ada import parse, URLSearchParams url = parse("https://example.com/path?q=test") print(url.hostname) # example.com print(url.pathname) # /path params = URLSearchParams("q=test&page=1") params.append("page", "2") print(params.get_all("page")) # [1, 2] C++17 compiler required if a precompiled wheel is unavailable for your platform; requires Python 3.9 or later Verify before relying: - Whether the ~4x performance improvement over urllib holds across different URL patterns and workloads beyond the benchmark shown - Compatibility with edge cases in URL parsing beyond the WHATWG spec examples provided ## Package facts - License: MIT (permissive) - Python support: supports_current - Install friction: medium - Maintenance: aging - Downloads: 132.4K/month (top 15,000 on PyPI) - Known vulnerabilities: none known ## Tags WHATWG URL parser, fast URL parsing, URL parser library, URL manipulation, query string parsing, spec-compliant URL, URLSearchParams, url-parsing, whatwg-spec, performance-focused [View on SkillFed](https://skillfed.io/packages/can-ada) · [View on PyPI](https://pypi.org/project/can-ada/)