I built a production-ready Python rate limiter with 6 algorithms and adaptive load-sensing.
I just open-sourced smart-ratelimiter, a production-ready Python rate limiting library. Would love feedback from the community.
What it does:
Provides rate limiting for Python APIs and services. Most libraries give you one algorithm — this gives you six, all behind a consistent API with swappable storage backends.
Algorithms:
Fixed Window, Sliding Window Log, Sliding Window Counter
Token Bucket, Leaky Bucket
Adaptive Hybrid — auto-tightens under high load, relaxes when quiet. No manual tuning.
Backends: In-memory · Redis · SQLite
Usage:
pip install smart-ratelimiter
from ratelimiter import AdaptiveRateLimiter, MemoryBackend
limiter = AdaptiveRateLimiter(MemoryBackend(), limit=100, window=60)
result = limiter.is_allowed("user:42")
Links:
GitHub: https://github.com/himanshu9209/ratelimiter
PyPI: https://pypi.org/project/smart-ratelimiter/
Zero required dependencies. MIT licensed. Contributions welcome!