dhi 1.1.3

Ultra-fast data validation for Python - 28M validations/sec, 3x faster than Rust alternatives

dhi - Ultra-Fast Data Validation for Python

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

🚀 Performance

28 million validations/sec - 3x faster than satya (Rust), 3x faster than msgspec (C)

# 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)
# 28M users/sec! 🔥

✨ Features

• �� Fastest: 3x faster than satya (Rust) and msgspec (C)
• 🎯 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

dhi:     28M users/sec  🥇
satya:    9M users/sec  (3.0x slower)
msgspec:  9M users/sec  (3.1x slower)

📝 License

MIT License - see LICENSE file

🔗 Links

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