dhi 1.2.0

Ultra-fast data validation for Python - 24M validations/sec, powered by Zig

dhi - Ultra-Fast Data Validation for Python

The fastest data validation library for Python. Powered by Zig for maximum performance.

🚀 Performance

24 million validations/sec - 4x faster than msgspec (C), 31x faster than msgspec-ext, 523x faster than Pydantic

# Validate 10,000 users in 0.36ms
from dhi import _dhi_native

users = [{"name": "Alice", "email": "[e-mail]", "age": 25}, ...]

field_specs = {
    'name': ('string', 2, 100),
    'email': ('email',),
    'age': ('int_positive',),
}

results, valid_count = _dhi_native.validate_batch_direct(users, field_specs)
# 24M users/sec! 🔥

✨ Features

• ⚡ Fastest: 4x faster than msgspec (C), 31x faster than msgspec-ext, 523x faster than Pydantic
• 🎯 24+ Validators: Email, URL, UUID, IPv4, dates, numbers, strings
• 🔋 Zero Python Overhead: C extension extracts directly from dicts
• 🌍 General Purpose: Works with any dict structure
• 💪 Production Ready: Thoroughly tested and benchmarked

📦 Installation

pip install dhi

🎯 Quick Start

from dhi import _dhi_native

users = [
    {"name": "Alice", "email": "[e-mail]", "age": 25},
    {"name": "Bob", "email": "[e-mail]", "age": 30},
]

field_specs = {
    'name': ('string', 2, 100),
    'email': ('email',),
    'age': ('int_positive',),
}

results, valid_count = _dhi_native.validate_batch_direct(users, field_specs)
print(f"Valid: {valid_count}/{len(users)}")

�� Available Validators

String: email, url, uuid, ipv4, base64, iso_date, iso_datetime, string

Number: int, int_gt, int_gte, int_lt, int_lte, int_positive, int_non_negative, int_multiple_of

🏆 Benchmarks

10,000 users validated with email, URL, and positive-int checks:

dhi (Zig+C):      24M users/sec  🥇
msgspec (C):       5.8M users/sec  (4.2x slower)
satya (Rust):      2.1M users/sec  (11.5x slower)
msgspec-ext:       777K users/sec  (31x slower)
Pydantic V2:        46K users/sec  (523x slower)

📝 License

MIT License - see LICENSE file

Links

• GitHub: https://github.com/justrach/dhi
• PyPI: https://pypi.org/project/dhi/