covet-rust

High-performance Rust extensions for the CovetPy web framework, providing up to 10x speedups for critical operations.

Overview

covet-rust is an optional performance enhancement package for CovetPy that provides Rust-based implementations of performance-critical operations. When installed alongside the main covet package, it automatically accelerates JSON processing, JWT operations, password hashing, rate limiting, and URL routing.

Installation

pip install covet-rust

The package is optional - CovetPy works perfectly without it, but installing covet-rust provides significant performance improvements for production deployments.

Requirements

• Python 3.9 or higher
• CovetPy framework (pip install covet)
• Compatible platform (currently macOS ARM64, more platforms coming soon)

Usage with CovetPy

Once installed, covet-rust integrates automatically with CovetPy. No code changes are required:

from covet import CovetPy

app = CovetPy()

# All operations automatically use Rust extensions when available
# JSON encoding/decoding - 6-8x faster
# JWT operations - 10x faster
# Password hashing - 3x faster with caching
# Rate limiting - 20x faster
# URL routing - 10x faster

Checking if Rust Extensions are Active

from covet._rust import RUST_AVAILABLE

if RUST_AVAILABLE:
    print("✅ Using Rust extensions for maximum performance")
else:
    print("⚠️ Using Python fallback implementations")

Performance Gains

Features

JSON Operations

• SIMD-accelerated JSON parsing and encoding
• Automatic integration with CovetPy's JSON handling

JWT Authentication

• Hardware-accelerated JWT operations
• Supports HS256, RS256, ES256, EdDSA algorithms
• Token caching for repeated validations

Password Hashing

• Argon2id, BCrypt, and BLAKE3 implementations
• Verification result caching
• Configurable security parameters

Rate Limiting

• Lock-free concurrent access
• Multiple algorithms (Token Bucket, Sliding Window, Fixed Window, Leaky Bucket)

URL Routing

• Trie-based router with regex support
• Fast parameter extraction and validation

Platform Support

Current Release:

• macOS ARM64 (Apple Silicon)

Coming Soon:

• Linux x86_64
• macOS x86_64 (Intel)
• Windows x86_64

If your platform is not yet supported, CovetPy will automatically use pure Python implementations without any performance penalty to functionality.

Documentation

For detailed CovetPy framework documentation and examples, visit: https://github.com/vipin08/Covet-doc

Version

Current version: 0.1.0b2

License

Proprietary License

Copyright © 2025 Vipin Kumar. All rights reserved.

This software is proprietary and confidential. Unauthorized copying, distribution, or use is strictly prohibited.