Throttle Python Packages

throttler

🔀⏳ Easy throttling with asyncio support

asyncio-throttle

Simple, easy-to-use throttler for asyncio.

rush

Modular, way of implementing rate-limiting in python with a few handy default implementations

mthrottle

A simple and generic rate limiter to prevent too many function calls or http requests.

python-throttle

Super naive python redis limiter

plimit

Run multiple async functions with limited concurrency — Python port of p-limit

lupaxa-leaky-bucket

Leaky-bucket rate limiter with drop and queue modes.

webtool

Well-Architected Python library for JWT authentication, throttling, caching, logging, and utilities.

ratelimit-io

ratelimit-io: Flexible bidirectional rate-limiting library with redis backend

cpulimiter

❄️ A lightweight Python library for Windows to limit the CPU usage of any process. Throttle apps by name, PID, or title to prevent overheating, save power, and keep your system responsive.

aiothrottles

Throttles for Python coroutines

rate-control

Versatile rate controlling in Python

throttlekit-py

Python client for ThrottleKit — distributed rate limiting against one Node core via gRPC (full check/peek/forecast) or direct Redis (the core's own Lua, bit-identical). Conformance-proven on shared golden vectors.

django-gradual-throttle

🕒 A Django middleware for graceful request throttling with configurable delay strategies (linear, exponential, or custom). Unlike traditional rate limiting that blocks excessive traffic, this package introduces progressive delays to throttle requests smartly and smoothly.

hawkapi-ratelimit

Rate limiting for HawkAPI — token bucket + sliding window, Redis + in-memory backends

agentprod

Production patterns for indie AI agents — token bucket, cost-aware routing, retry, observability.

socket-throttle

Wrapper for sockets letting you limit send/recv bandwidth

edging

Rate limiting that approaches but never exceeds a threshold.

throttlepy

Token bucket and sliding window rate limiting for Python. In-memory or Redis. Sync and async.

tasklane

Bounded-concurrency async for Python: run, map, and stream awaitables with limits, retries, rate limiting, and progress — in one typed call.