Introducing Django Smart Ratelimit 0.7.0: The Modern Solution for Efficient API Traffic Management
Attention Django developers and API providers! We’re thrilled to announce the release of Django Smart Ratelimit version 0.7.0, a comprehensive and intelligent rate limiting library designed to meet the demands of today’s dynamic traffic environments. With this latest update, managing user requests has never been easier or more efficient.
What’s New in Version 0.7.0?
Advanced Rate Limiting with the Token Bucket Algorithm
The standout feature in this release is the integration of the Token Bucket algorithm. Unlike traditional approaches that rigidly block users during reset periods, the token bucket provides a smarter way to handle burst traffic. It allows users to make a few quick requests — perfect for scenarios like mobile app spikes, batch processes, or retries — while still enforcing overall rate limits.
Enhanced Type Safety and Security
This version is fully compatible with mypy, ensuring comprehensive type safety for robust development. Additionally, security has been fortified through integrated Bandit checks, addressing potential vulnerabilities before deployment.
Cutting-Edge Compatibility
Django Smart Ratelimit now supports Python 3.13 and Django 5.1, ensuring seamless integration with the latest technology stacks. With over 340 tests backing its stability, this library is ready for production use.
Why Opt for Django Smart Ratelimit?
- Ultra-fast response times, sub-millisecond performance
- Multiple algorithms including token_bucket, sliding_window, and fixed_window
- Flexible backend options: Redis, database, in-memory, or multi-backend setups
- Native integration with Django REST Framework
- Guaranteed atomic operations, eliminating race conditions in high-concurrency scenarios
Practical Usage Example
Traditional rate limiting might block a user at midnight reset:
python
@rate_limit(key='user', rate='100/h')
With the new token bucket approach, users can burst requests without getting blocked immediately:
python
@rate_limit(key='user', rate='100/h', algorithm='token_bucket',
algorithm_config={'bucket_size': 200})
This setup allows an initial burst of up to 200 requests, then gradually enforces the predefined limit, ensuring a smoother user experience.
Get Started Today
You can explore Django Smart Ratelimit on PyPI, check out the source code on GitHub, or review example implementations for a better understanding of its capabilities:
- PyPI: [
