flask-ratelimit-simple 1.0.2

Lightweight in-memory rate limiting for Flask

Flask-RateLimit-Simple

Lightweight, in-memory rate limiting for Flask - Protect your API endpoints from abuse without the complexity of Redis or external dependencies.

Why Flask-RateLimit-Simple?

Most rate limiting solutions require Redis or Memcached. This package uses in-memory storage with automatic cleanup, making it:

• ✅ Zero external dependencies - No Redis, no Memcached
• ✅ Production-ready - Battle-tested at WallMarkets
• ✅ Standards-compliant - Returns proper X-RateLimit-* headers
• ✅ Smart tracking - IP-based for anonymous, user-based for authenticated

Features

🚀 Simple Decorator API

Just add @rate_limit() to any route - no complex setup required

📊 Standard Rate Limit Headers

Returns RFC-compliant headers:

• X-RateLimit-Limit - Maximum requests allowed
• X-RateLimit-Remaining - Requests remaining
• X-RateLimit-Reset - Seconds until limit resets
• Retry-After - When to retry (on 429 responses)

🎯 Smart User Tracking

• Anonymous users: Tracked by IP address
• Authenticated users: Tracked by user ID (via Flask-Login)
• Automatic detection: No configuration needed

🧹 Automatic Cleanup

Expired entries are automatically removed - no memory leaks

🔧 Flexible Configuration

Set different limits for different endpoints

Installation

pip install flask-ratelimit-simple

Quick Start

pip install flask-ratelimit-simple

Usage Examples

Basic Rate Limiting

from flask import Flask
from flask_ratelimit_simple import rate_limit

app = Flask(__name__)

# Limit login attempts: 5 per 5 minutes
@app.route('/login', methods=['POST'])
@rate_limit('login', limit=5, period=300)
def login():
    # Your login logic here
    return {'message': 'Login successful'}

# Limit API calls: 100 per minute
@app.route('/api/data')
@rate_limit('api_data', limit=100, period=60)
def get_data():
    return {'data': [...]}  

# Limit password resets: 3 per hour
@app.route('/reset-password', methods=['POST'])
@rate_limit('password_reset', limit=3, period=3600)
def reset_password():
    # Send reset email
    return {'message': 'Reset email sent'}

Different Limits for Different Endpoints

# Strict limit for authentication
@app.route('/api/auth/login', methods=['POST'])
@rate_limit('auth_login', limit=5, period=300)  # 5 per 5min
def api_login():
    pass

# Generous limit for public data
@app.route('/api/products')
@rate_limit('products_list', limit=1000, period=3600)  # 1000 per hour
def list_products():
    pass

# Very strict for expensive operations
@app.route('/api/export', methods=['POST'])
@rate_limit('data_export', limit=2, period=86400)  # 2 per day
def export_data():
    pass

Response Headers

Successful Request (200 OK)

HTTP/1.1 200 OK
X-RateLimit-Limit: 100
X-RateLimit-Remaining: 87
X-RateLimit-Reset: 42

Rate Limit Exceeded (429 Too Many Requests)

HTTP/1.1 429 TOO MANY REQUESTS
X-RateLimit-Limit: 5
X-RateLimit-Remaining: 0
X-RateLimit-Reset: 247
Retry-After: 247
Content-Type: application/json

{"error": "Rate limit exceeded. Try again in 247 seconds."}

Real-World Use Cases

API Protection

# Protect your API from abuse
@app.route('/api/v1/search', methods=['POST'])
@rate_limit('api_search', limit=30, period=60)  # 30 searches per minute
def search_api():
    query = request.json.get('query')
    results = perform_expensive_search(query)
    return {'results': results}

Authentication Security

# Prevent brute force attacks
@app.route('/login', methods=['POST'])
@rate_limit('login_attempts', limit=5, period=900)  # 5 attempts per 15min
def login():
    username = request.form['username']
    password = request.form['password']
    
    if verify_credentials(username, password):
        return redirect('/dashboard')
    
    return {'error': 'Invalid credentials'}, 401

Resource-Intensive Operations

# Limit expensive operations
@app.route('/generate-report', methods=['POST'])
@rate_limit('report_generation', limit=3, period=3600)  # 3 reports per hour
def generate_report():
    # This takes 30 seconds and uses lots of CPU
    report = create_detailed_report()
    return send_file(report)

Email/SMS Sending

# Prevent spam
@app.route('/send-verification', methods=['POST'])
@rate_limit('verification_email', limit=3, period=3600)  # 3 emails per hour
def send_verification():
    send_email(current_user.email, verification_code)
    return {'message': 'Verification email sent'}

How It Works

Storage

• Uses Flask's g object to store rate limit data per request
• Stores timestamps of requests in memory
• Automatically cleans up expired entries

User Identification

1. Authenticated users (Flask-Login detected):

   • Tracked by current_user.id
   • Limits apply per user account

2. Anonymous users:

   • Tracked by IP address (request.remote_addr)
   • Limits apply per IP

Algorithm

• Sliding window approach
• Counts requests within the time period
• Removes expired timestamps automatically
• O(n) complexity where n = number of requests in window

Configuration

Custom Error Messages

from flask_ratelimit_simple import rate_limit

@app.errorhandler(429)
def ratelimit_handler(e):
    return {
        'error': 'Too many requests',
        'message': 'Please slow down and try again later',
        'retry_after': e.description
    }, 429

Integration with Flask-Login

from flask_login import LoginManager, current_user

login_manager = LoginManager(app)

# Rate limits automatically use current_user.id when available
@app.route('/api/user/profile')
@login_required
@rate_limit('profile_view', limit=100, period=60)
def view_profile():
    # This limit is per user, not per IP
    return {'user': current_user.to_dict()}

Performance

• Memory usage: ~100 bytes per tracked request
• Overhead: <1ms per request
• Scalability: Suitable for single-server deployments
• Cleanup: Automatic, runs on each request

When to Use This Package

✅ Good for:

• Single-server Flask applications
• Development and testing
• Small to medium traffic (< 10k requests/min)
• When you don't want Redis complexity

❌ Not recommended for:

• Multi-server deployments (use Redis-based solution)
• Very high traffic (> 100k requests/min)
• When you need persistent rate limit data across restarts

Testing

import pytest
from flask import Flask
from flask_ratelimit_simple import rate_limit

def test_rate_limiting():
    app = Flask(__name__)
    
    @app.route('/test')
    @rate_limit('test', limit=3, period=60)
    def test_endpoint():
        return {'success': True}
    
    client = app.test_client()
    
    # First 3 requests should succeed
    for i in range(3):
        response = client.get('/test')
        assert response.status_code == 200
    
    # 4th request should be rate limited
    response = client.get('/test')
    assert response.status_code == 429

Production Usage

This package is used in production at:

• WallMarkets - Multi-vendor marketplace
• Protecting authentication endpoints
• Rate limiting API calls
• Preventing abuse of resource-intensive operations

Comparison with Alternatives

Feature	flask-ratelimit-simple	Flask-Limiter	flask-ratelimit
Redis required	❌ No	✅ Yes	✅ Yes
Setup complexity	Low	Medium	Medium
Multi-server	❌ No	✅ Yes	✅ Yes
Memory usage	Low	N/A	N/A
Dependencies	0	2+	2+

Contributing

Contributions welcome! Please:

1. Fork the repository
2. Create a feature branch
3. Add tests for new functionality
4. Submit a pull request

License

MIT License - see LICENSE file for details

Support

• 📚 Documentation
• 🐛 Issue Tracker
• 💬 Discussions

Related Packages

• flask-security-headers - Security utilities
• flask-supercache - Caching
• flask-querymonitor - Query optimization

---

Made with ❤️ by the WallMarkets team