Introducing Django Smart Ratelimit v0.7.0: The Ultimate Solution for Advanced Rate Limiting (Now Featuring the Token Bucket Algorithm!)
Attention Django developers and API professionals!
We’re excited to announce the release of Django Smart Ratelimit version 0.7.0 — a robust, feature-rich rate limiting library designed to meet the demands of modern web applications. This latest update incorporates groundbreaking enhancements that make managing traffic and protecting your services more efficient and reliable.
Highlights of the New Release:
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Advanced Token Bucket Algorithm — Our latest implementation offers smarter traffic regulation that adapts to real-world usage patterns, enabling greater flexibility during traffic surges.
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Rigorous Type Safety — Fully compliant with mypy, ensuring your code remains type-checked and reliable throughout development.
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Enhanced Security Measures — Integrated with Bandit, resolving previous security issues for a safer implementation.
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Broad Compatibility — Fully compatible with Python 3.13 and Django 5.1, keeping your projects modern and future-proof.
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Reliable and Tested — Boasts over 340 comprehensive tests, guaranteeing production-ready stability.
Why the Token Bucket Algorithm Matters
Traditional rate limiting methods can be overly restrictive, often blocking legitimate users during traffic spikes—think of it as a traffic cop stopping everyone at a red light. In contrast, the token bucket approach is more intelligent: it permits bursts of activity (like a traffic lane opening up during peak hours), then returns to a steady, controlled flow. This makes it ideal for scenarios such as mobile app usage, batch data processing, or retry mechanisms in APIs.
Example comparison:
Old method:
python
u/rate_limit(key='user', rate='100/h')
New method 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?
- Ultra-fast response times in the sub-millisecond range
- Supports multiple algorithms: token_bucket, sliding_window, fixed_window
- Flexible backend options: Redis, relational databases, in-memory storage, or a multi-backend setup
- Seamless integration with Django REST Framework (DRF)
- Ensures atomic operations within Redis for zero race conditions
Get Started Today
For detailed documentation, sample
