Halt — Python SDK
SaaS-aware, cross-language rate limiting. Per-user / per-API-key / per-plan limits, quotas, weighted endpoints, abuse controls, atomic Redis accuracy (sync + async), and built-in observability — with a matching TypeScript package.
📖 Full documentation: halt.afroawi.com
Install
pip install halt-rate
# optional extras
pip install "halt-rate[redis]" # production store (sync + async)
pip install "halt-rate[fastapi]" # framework adapter
pip install "halt-rate[otel]" # OpenTelemetry metrics
Installs as halt-rate; import as halt.
Quick start
from halt import RateLimiter, InMemoryStore, presets
limiter = RateLimiter(
store=InMemoryStore(), # use RedisStore in production
policy=presets.PUBLIC_API, # 100 req/min per IP
)
decision = limiter.check(request) # or: await limiter.acheck(request)
if not decision.allowed:
# respond 429, Retry-After: decision.retry_after
...
Production Redis (sync + async), FastAPI/Flask/Django adapters, plan-based limits, quotas, penalties, and observability are covered in the docs → halt.afroawi.com/docs.
Features
- Algorithms: token bucket, fixed/sliding window, leaky bucket
- Keys: IP, user, API key, composite, or custom
- Atomic Redis store (Lua, cluster-safe, fail-open), sync and async, + in-memory dev store
- SaaS: per-plan limits, quotas, weighted endpoints, abuse penalties
- Observability:
StatsCollector+ OpenTelemetry metrics - Adapters: FastAPI, Flask, Django
Links
- Docs: https://halt.afroawi.com
- PyPI: https://pypi.org/project/halt-rate/
- Source & issues: https://github.com/surafel-kindu/halt
License
MIT
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