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

Introducing the Latest in Rate Limiting for Django: Version 0.7.0 Enhances Efficiency and Security

Attention Django developers! Weโ€™re excited to announce the release of Django Smart Ratelimit version 0.7.0, a comprehensive and intelligent rate limiting library designed to optimize your web applicationsโ€™ traffic management.

Whatโ€™s New in Version 0.7.0?

  • Advanced Token Bucket Algorithm: Incorporates a sophisticated approach to handle traffic bursts smoothly, minimizing user frustration during traffic spikes.
  • Strict Type Safety Compliance: Fully compatible with mypy, ensuring type correctness and reducing runtime errors.
  • Enhanced Security Measures: Integrated with Bandit, all security vulnerabilities have been addressed to safeguard your applications.
  • Modern Compatibility: Supports the latest Python 3.13 and Django 5.1, keeping your stack up-to-date.
  • Robust Testing Suite: Over 340 tests ensure reliability and stability in production environments.

The Power of the Token Bucket Algorithm

Traditional rate limiting methods often block users during reset periods, which can be counterproductive. The token bucket algorithm introduces a smarter approachโ€”allowing controlled bursts of traffic while maintaining overall usage limits. This method is particularly effective for scenarios involving mobile app usage, batch processing, or API retries.

For example, the transition from a conventional rate limit:

@rate_limit(key='user', rate='100/h')

to a more flexible setup:

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

enables your application to handle periodic surges gracefully without compromising overall restrictions.

Why Choose Django Smart Ratelimit?

  • Blazing-fast response times, typically under a millisecond
  • Multiple algorithm options: token_bucket, sliding_window, fixed_window
  • Versatile backend integrations: Redis, database, in-memory, or multi-backend setups
  • Seamless integration with Django REST Framework (DRF)
  • Atomic Redis operations that prevent race conditions, ensuring consistent behavior under high concurrency

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