Pydantic parsing JSON and validating URLs vs. pure pyton

emojis.py

import timeit
import json
from urllib.parse import urlparse

import requests
from pydantic import TypeAdapter, HttpUrl

reps = 7
number = 100
r = requests.get('https://api.github.com/emojis')
r.raise_for_status()
emojis_json = r.content

def emojis_pure_python(raw_data):
    data = json.loads(raw_data)
    output = {}
    for key, value in data.items():
        assert isinstance(key, str)
        url = urlparse(value)
        assert url.scheme in ('https', 'http')
        output[key] = url


emojis_pure_python_times = timeit.repeat(
    'emojis_pure_python(emojis_json)',
    globals={'emojis_pure_python': emojis_pure_python, 'emojis_json': emojis_json},
    repeat=reps,
    number=number,
)
print(f'pure python: {min(emojis_pure_python_times) / number * 1000:0.2f}ms')
#> pure python: 5.24ms

type_adapter = TypeAdapter(dict[str, HttpUrl])
emojis_pydantic_times = timeit.repeat(
    'type_adapter.validate_json(emojis_json)',
    globals={'type_adapter': type_adapter, 'HttpUrl': HttpUrl, 'emojis_json': emojis_json},
    repeat=reps,
    number=number,
)
print(f'pydantic: {min(emojis_pydantic_times) / number * 1000:0.2f}ms')
#> pydantic: 1.52ms

print(f'Pydantic {min(emojis_pure_python_times) / min(emojis_pydantic_times):0.2f}x faster')
#> Pydantic 3.45x faster