This is ada_url, a fast standard-compliant Python library for working with URLs based on the Ada URL parser.

Installation

Install from PyPI:

pip install ada_url

Usage examples

Parsing URLs

The URL class is intended to match the one described in the WHATWG URL spec.

>>> from ada_url import URL
>>> urlobj = URL('https://example.org/path/../file.txt')
>>> urlobj.href
'https://example.org/path/file.txt'

The parse_url function returns a dictionary of all URL elements:

>>> from ada_url import parse_url
>>> parse_url('https://user:pass@example.org:80/api?q=1#2')
{
    'href': 'https://user:pass@example.org:80/api?q=1#2',
    'username': 'user',
    'password': 'pass',
    'protocol': 'https:',
    'port': '80',
    'hostname': 'example.org',
    'host': 'example.org:80',
    'pathname': '/api',
    'search': '?q=1',
    'hash': '#2',
    'origin': 'https://example.org:80',
    'host_type': <HostType.DEFAULT: 0>,
    'scheme_type': <SchemeType.HTTPS: 2>
}

Altering URLs

Replacing URL components with the URL class:

>>> from ada_url import URL
>>> urlobj = URL('https://example.org/path/../file.txt')
>>> urlobj.host = 'example.com'
>>> urlobj.href
'https://example.com/file.txt'

Replacing URL components with the replace_url function:

>>> from ada_url import replace_url
>>> replace_url('https://example.org/path/../file.txt', host='example.com')
'https://example.com/file.txt'

Search parameters

The URLSearchParams class is intended to match the one described in the WHATWG URL spec.

>>> from ada_url import URLSearchParams
>>> obj = URLSearchParams('key1=value1&key2=value2')
>>> list(obj.items())
[('key1', 'value1'), ('key2', 'value2')]

The parse_search_params function returns a dictionary of search keys mapped to value lists:

>>> from ada_url import parse_search_params
>>> parse_search_params('key1=value1&key2=value2')
{'key1': ['value1'], 'key2': ['value2']}

Internationalized domain names

The idna class can encode and decode IDNs:

>>> from ada_url import idna
>>> idna.encode('Bücher.example')
b'xn--bcher-kva.example'
>>> idna.decode(b'xn--bcher-kva.example')
'bücher.example'

WHATWG URL compliance

This library is compliant with the WHATWG URL spec. This means, among other things, that it properly encodes IDNs and resolves paths:

>>> from ada_url import URL
>>> parsed_url = URL('https://www.GOoglé.com/./path/../path2/')
>>> parsed_url.hostname
'www.xn--googl-fsa.com'
>>> parsed_url.pathname
'/path2/'

Contrast that with the Python standard library’s urllib.parse module, which loosely follows the older RFC 3978 standard:

>>> from urllib.parse import urlparse
>>> parsed_url = urlparse('https://www.GOoglé.com/./path/../path2/')
>>> parsed_url.hostname
'www.googlé.com'
>>> parsed_url.path
'/./path/../path2/'

Performance

This package uses CFFI to call the Ada C library’s functions, which makes it faster than the Python standard library’s urllib.parse module for most applications.

An alternative package, can_ada, uses pybind11 to interact with the Ada C++ library functions, which is even faster.

Project links

Data verified by PyPI on Jul 28, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

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Latest release

3 maintainers

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Credits

Author: Bo Bayles

GitHub Statistics

Data verified by PyPI on Jul 28, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

Apache-2.0
View SPDX License List

Requires

Python >=3.10

Classifiers

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This release

4.0.0 This release

41 files

1.32.0

41 files

1.31.1

41 files

1.31.0

41 files

1.30.0

41 files

1.29.0

38 files

1.28.0

38 files

1.27.0

51 files

1.26.0

51 files

1.25.0

51 files

1.24.0

51 files

1.23.0

51 files

1.22.0

51 files

1.21.0

51 files

1.19.0

51 files

1.18.0

51 files

1.17.0

51 files

1.16.0

51 files

1.15.3

56 files

1.15.1

24 files

1.15.0

24 files

1.13.0

49 files

1.12.0

49 files

1.11.0

49 files

1.10.0

49 files

1.8.0

49 files

1.7.0

42 files

1.6.0

42 files

1.5.0

42 files

1.4.1

35 files

1.4.0

35 files

1.3.0

35 files

1.2.0

25 files

1.1.0

25 files

1.0.1

25 files

1.0.0

25 files

0.1.0

25 files

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