Introducing the Latest Release of Django Smart Ratelimit: Advanced Rate Limiting with Token Bucket Algorithm
Attention Django developers! We are pleased to announce the release of Django Smart Ratelimit version 0.7.0, an essential tool for managing traffic and safeguarding your applications. This update brings innovative features designed to improve performance, security, and adaptability.
What’s New in Version 0.7.0?
-
Implementation of the Token Bucket Algorithm
This state-of-the-art rate limiting method intelligently manages traffic spikes, allowing controlled bursts without compromising overall limits. Unlike traditional methods, it provides a more realistic and user-friendly experience during high-traffic periods. -
Enhanced Type Safety and Compatibility
Fully compliant with mypy static type checking, ensuring that your code remains robust and maintainable. -
Improved Security Measures
Integration with Bandit has been fortified, resolving known security concerns to ensure your setup remains secure. -
Support for Python 3.13 and Django 5.1
Stay ahead with compatibility for the latest Python and Django versions. -
Comprehensive Testing
Over 340 tests provide confidence in production-level stability and reliability.
Understanding the Power of the Token Bucket Algorithm
Traditional rate limiting strategies often disconnect users during reset times, resulting in unnecessary blocks and user frustration. The token bucket approach offers a smarter solution—allowing short bursts of traffic while maintaining sustainable long-term limits. This makes it ideal for mobile apps, batch processing jobs, and scenarios involving retries or unpredictable traffic surges.
Example Comparison:
Old approach:
python
@rate_limit(key='user', rate='100/h')
Enhanced approach with token bucket:
python
@rate_limit(
key='user',
rate='100/h',
algorithm='token_bucket',
algorithm_config={'bucket_size': 200}
)
Why Choose Django Smart Ratelimit?
- Ultra-fast responses, often under a millisecond
- Multiple algorithms available: token_bucket, sliding_window, fixed_window
- Flexible backend options: Redis, Database, Memory, Multi-Backend setups
- Seamless integration with Django REST Framework
- Ensures atomic operations with Redis, eliminating race conditions
Get Started Today
- PyPI: https://pypi.org/project/django-smart-ratelimit/
- GitHub Repository: [

