Proxipy

Production-ready high-performance CORS proxy server

Key Facts & Overview

Proxipy is a production-ready, high-performance CORS proxy server built with FastAPI. It bypasses same-origin policy and mixed content issues, with intelligent streaming, advanced load balancing, comprehensive security middleware, rate limiting, and health monitoring.

›Streams large files and binary content instead of buffering everything in memory.
›Configurable via YAML with hot reload and environment variables.
›Session stickiness via cookie or IP-based affinity.
›Built-in health endpoint, metrics endpoint, and structured logging.

Core Architectural Features

CORS proxy for AJAX requests

HTTP/2 with TLS

Intelligent streaming for large files

Load balancing: round-robin, weighted, least connections, latency-based

Health checks and circuit breaker

Rate limiting with Redis or memory fallback

Security headers: CSP, HSTS, XSS protection

Private IP protection and blocked hosts

Multi-protocol support: HTTP, HTTPS, WebSocket, TCP, UDP

HAProxy-style stats and metrics

Installation

git clone https://github.com/ayoubzulfiqar/proxipy.git
cd proxipy
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
python -m app.main

# Or Docker Compose
docker-compose up -d

Usage

curl "http://localhost:6969/proxy?url=https://api.example.com/data"

# POST with body
curl -X POST http://localhost:6969/proxy -H "Content-Type: application/json" -d '{"url":"https://api.example.com/data","method":"POST","body":"{}"}'

API Reference

GET /proxy?url=<target>

Proxy GET requests with load balancing.

POST /proxy

Proxy requests with custom body and headers.

GET /health

Health check with load balancer status.

GET /stats

HAProxy-style load balancer statistics.

GET /metrics

Performance metrics and request stats.

Resources & Repositories

GitHub ↗Docs ↗Proxipy case study