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Project description
FastVal
Ultra-fast Cython-based data validation library for Python, optimized for FastAPI. A faster alternative to Pydantic.
Features
- Fast validation using Cython
- Nested model support
- Optional fields with defaults
- JSON serialization with orjson
- Drop-in compatible with FastAPI
- Pydantic-style annotations
Installation
Clone the repo and build:
git clone https://github.com/jncremona2/fastval.git
cd fastval
pip install -e .
Usage
Define models with annotations, just like Pydantic:
from fastval import BaseModel
from typing import List
class User(BaseModel):
name: str
age: int = 25
email: str
class Post(BaseModel):
title: str
content: str
author: User
tags: List[str] = []
# Validate data
user = User({'name': 'John', 'email': 'john@example.com'})
print(user.dict()) # {'name': 'John', 'age': 25, 'email': 'john@example.com'}
print(user.json()) # JSON string
For FastAPI:
from fastapi import FastAPI
app = FastAPI()
@app.post("/users")
async def create_user(payload: dict):
user = User(payload)
return user.dict()
Benchmarks
FastVal outperforms Pydantic in validation and JSON serialization:
- Validation (10,000 users): FastVal 2.65x faster (0.0042s vs 0.0112s)
- JSON Serialization: FastVal 3.07x faster (0.0022s vs 0.0066s)
- Nested Models (1,000 posts): FastVal 1.27x faster (0.0009s vs 0.0012s)
- Large Payloads (100,000 users): FastVal 2.29x faster (0.0610s vs 0.1397s)
Run python benchmark.py to see live results.
Tests
Run pytest tests/
Project details
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