๐Ÿš€ Django Smart Ratelimit v0.7.0 โ€” The Ultimate Rate Limiting Solution (Now Featuring the Token Bucket Algorithm!)

Introducing Django Smart Ratelimit v0.7.0: The Ultimate Solution for Efficient Rate Limiting in Django Projects

Attention Django Developers!

We are excited to announce the release of Django Smart Ratelimit version 0.7.0, a powerful and versatile rate limiting library designed to meet the demands of modern web applications. This latest update brings significant enhancements that elevate its performance, security, and flexibility.

Whatโ€™s New in Version 0.7.0?

Advanced Token Bucket Algorithm
The standout feature in this release is the implementation of the token bucket algorithm. Unlike traditional rate limiting methods that can unnecessarily restrict genuine users during traffic spikes, the token bucket approach allows for controlled bursts, ensuring smoother user experiences in high-traffic scenarios such as mobile apps, API gateways, and batch processing systems.

Enhanced Type Safety
Built with rigorous type checking in mind, Django Smart Ratelimit now offers complete mypy compliance, ensuring you catch potential issues early in your development cycle.

Security Improvements
Security is paramount. This version integrates seamlessly with Bandit to address all known vulnerabilities, reinforcing the safety of your applications.

Modern Compatibility and Reliability
Designed to work flawlessly with Python 3.13 and Django 5.1, this library is ready for the latest technology stack. Additionally, with over 340 comprehensive tests, you can trust its stability and readiness for production use.

Why Choose the Token Bucket Algorithm?

Traditional fixed window or sliding window techniques often lead to unnecessary blocking of legitimate users during rate resets. In contrast, the token bucket method permits short bursts of traffic without compromising the overall rate limit, making it ideal for scenarios involving unpredictable traffic patterns, retries, or mobile app usage.

Example Comparison:

Old Approach:
python
@rate_limit(key='user', rate='100/h')

Enhanced with Token Bucket:
python
@rate_limit(
key='user',
rate='100/h',
algorithm='token_bucket',
algorithm_config={'bucket_size': 200}
)

Why Opt for Django Smart Ratelimit?

  • Sub-millisecond response times capable of handling high loads
  • Multiple algorithm options: token bucket, sliding window, fixed window
  • Flexible backend support including Redis, relational databases, in-memory storage, and multi-backend configurations
  • Seamless integration with Django Rest Framework (DRF)
  • Ensures atomic operations with Redis to prevent race conditions

Get Started Today

Access the library through these resources:


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