🚀 Django Smart Ratelimit v0.7.0 — The Ultimate Rate Limiting Solution ( Featuring the New Token Bucket Algorithm! )

Introducing Django Smart Ratelimit 0.7.0: The Ultimate Rate Limiting Solution with Advanced Token Bucket Algorithm

Attention Django Developers!

We are thrilled to announce the release of Django Smart Ratelimit version 0.7.0, a powerful and flexible rate limiting library designed to meet the needs of modern web applications. This latest version brings a host of innovations that elevate your API protection and traffic management strategies.

Key Enhancements in Version 0.7.0

Innovative Token Bucket Algorithm
This release introduces the highly adaptive token bucket algorithm, enabling smarter rate limiting that more accurately reflects real-world traffic dynamics. Unlike traditional methods, it supports burst traffic while maintaining ongoing request limits, making it ideal for scenarios like mobile apps, batch jobs, and API retries.

Complete Type Safety and Compatibility
Built with strict type checking in mind, Django Smart Ratelimit now offers full mypy compliance, ensuring safer code and fewer runtime surprises. Plus, it seamlessly integrates with Python 3.13 and Django 5.1, leveraging the latest Python features.

Enhanced Security Measures
Security remains a top priority. With comprehensive Bandit integration, all known vulnerabilities have been addressed, offering peace of mind in production deployments.

Robust Testing and Reliability
With over 340 tests underpinning this release, Django Smart Ratelimit guarantees dependable performance ready for large-scale production environments.

Why Opt for the Token Bucket Approach?

Traditional rate limiting mechanisms can sometimes impede users during traffic spikes, leading to denied requests during reset periods. The token bucket algorithm transforms this experience by permitting short bursts of requests—ideal for sudden traffic surges—while still enforcing long-term request limits. This balance helps you better accommodate fluctuating traffic patterns across various applications.

For example, instead of rigidly blocking users after hitting a preset limit at reset time:

“`python

Old method: strict block at midnight reset

u/rate_limit(key=’user’, rate=’100/h’)
“`

You can now implement a more forgiving system:

“`python

New method: burst capacity with token bucket

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

Core Features at a Glance

  • Ultra-fast sub-millisecond response times
  • Supports three algorithms: token_bucket, sliding_window, fixed_window
  • Compatible with multiple storage backends including Redis, databases, and in-memory options
  • Native integration with

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