asynciolimiter
Rate limiter for Async IO
Decision gist · record as of 2026-08-14
Yes, with a note on maintenance. The package is stable, has no dependencies, and solves a common async concurrency problem cleanly. However, it has not been released in over five months despite an active repository, so check whether your use case aligns with the three limiter flavors offered before committing to it. No known vulnerabilities.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later.
- Low friction: pure Python wheel with no runtime dependencies.
- Maintenance status is aging—last commit was 2025-08-01 and the package has not been released in over five months, though the repository remains active and not archived.
License · maintenance · safety
permissive license (permissive) — Licensed under MIT (permissive), so you can use, modify, and distribute this package with minimal legal constraints.
last release 2025-03-18 (514 days) · last repo commit 2025-08-01 · 39 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,186,997 downloads/mo, #4,248 on PyPI
Alternatives
Verify before relying
pip install asynciolimiter
import asyncio
import asynciolimiter
async def main():
limiter = asynciolimiter.Limiter(10/5) # 10 requests per 5 seconds
await limiter.wait()
# do work here
asyncio.run(main())- Whether the three limiter flavors (Limiter, LeakyBucketLimiter, StrictLimiter) differ meaningfully in performance or accuracy under real workloads.
- Behavior and thread-safety guarantees when multiple asyncio event loops or tasks interact with the same limiter instance.
What it is and what it does
asynciolimiter is a rate-limiting library for Python AsyncIO that enforces a maximum request rate by making coroutines wait until a slot becomes available. It offers three implementations: a basic Limiter that accounts for CPU delays, a LeakyBucketLimiter following the leaky bucket algorithm with burst capacity, and a StrictLimiter that enforces a hard rate floor without bursts. The package has no external runtime dependencies and supports Python 3.9 and later.
You use it by instantiating a limiter with a rate (requests per second), then calling `await limiter.wait()` before executing rate-limited work. It integrates directly into async functions and plays well with `asyncio.gather()` and other concurrency patterns. The library is stable and typed, making it suitable for production async applications that need to throttle API calls, database queries, or other I/O-bound operations.
Use it for
- Throttle API client requests to respect rate limits imposed by external services.
- Control database query concurrency to avoid overwhelming a backend or exhausting connection pools.
- Manage burst traffic in web scrapers or batch jobs to stay within resource budgets.
- Enforce fair scheduling of background tasks so no single coroutine starves others.
- Implement backpressure in event-driven systems to prevent downstream overload.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, with a note on maintenance.
The package is stable, has no dependencies, and solves a common async concurrency problem cleanly. However, it has not been released in over five months despite an active repository, so check whether your use case aligns with the three limiter flavors offered before committing to it. No known vulnerabilities.
Install
asynciolimiter on PyPI
Before you install
Low friction: pure Python wheel with no runtime dependencies. Maintenance status is aging—last commit was 2025-08-01 and the package has not been released in over five months, though the repository remains active and not archived.
Requires Python 3.9 or later.
License in practice
Licensed under MIT (permissive), so you can use, modify, and distribute this package with minimal legal constraints.
Quickstart
pip install asynciolimiter
import asyncio
import asynciolimiter
async def main():
limiter = asynciolimiter.Limiter(10/5) # 10 requests per 5 seconds
await limiter.wait()
# do work here
asyncio.run(main())Verify before relying
- Whether the three limiter flavors (Limiter, LeakyBucketLimiter, StrictLimiter) differ meaningfully in performance or accuracy under real workloads.
- Behavior and thread-safety guarantees when multiple asyncio event loops or tasks interact with the same limiter instance.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Aging 514 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,186,997 / month, #4,248 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableFramework :: AsyncIOIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.9Topic :: InternetTopic :: Software Development :: LibrariesTopic :: UtilitiesTyping :: Typed |
Evidence: asynciolimiter-1.2.0-py3-none-any.whl
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See also aiolimiter · httpx-limiter · loop-rate-limiters · throttler · ratelim · requests-ratelimiter · limits · httpxthrottlecache · Flask-Limiter · throttled-py