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Home / Python / aiolimiter

mjpieters/aiolimiter

An efficient implementation of a rate limiter for asyncio.

Python ◇ asyncio MIT
★781STARS
⑂31FORKS
!3ISSUES
🏆#2,962GLOBAL RANK
🔥4DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for mjpieters/aiolimiter
CSV

Momentum

+20

STARS · LAST 30 DAYS

1

PER DAY

#373

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+20+90
Per day111
Forks gained+1+3+10

aiolimiter gained 20 stars in the last 30 days, about 1 a day, and now has 781. It is about 7 years old and has averaged roughly 112 stars a year. It ranks #373 among Python repositories and #2,962 across all languages on GitHubRepo.

Trending Record

aiolimiter has maintained a continuous presence across global trending indexes, peaking at #1807. Below is the 30-day activity profile:

💡 Overview

aiolimiter is an open-source project written in Python: An efficient implementation of a rate limiter for asyncio.

Engineered for speed, consistency, and developer ease, it solves common hurdles in asyncio, leaky-bucket, rate-limiting. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install aiolimiter

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

aiolimiter coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Production System Integration

Embed aiolimiter into Python backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open MIT license.

🚀 Getting Started

1

Install aiolimiter using your package manager: `pip install aiolimiter`

2

Initialize your project workspace or configuration file for aiolimiter.

3

Import aiolimiter into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `aiolimiter --help` to verify successful setup.

👍 Strengths

Active community backing with 781 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

mjpieters/aiolimiter is currently ranked #2,962 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#2,955 volotat/mini-AGI Python ★ 786 Compare ↗
#2,958 google/grain Python ★ 783 Compare ↗
#2,958 sarensw/MacPacker Swift ★ 783 Compare ↗
#2,960 AlanQuatermain/aqtoolkit Objective-C ★ 782 Compare ↗
#2,960 yegor256/cactoos Java ★ 782 Compare ↗
#2,962 mjpieters/aiolimiter This Project Python ★ 781
#2,962 Fody/MethodTimer C# ★ 781 Compare ↗
#2,962 Consensys-Incorporated/teku Java ★ 781 Compare ↗
#2,965 jonathanpeppers/dotnes C# ★ 780 Compare ↗
#2,966 civicrm/civicrm-core PHP ★ 779 Compare ↗
#2,966 Kizzuwatnaa/DLSS5-Autopilot Python ★ 779 Compare ↗

Frequently Asked Questions

What does aiolimiter do? +

An efficient implementation of a rate limiter for asyncio.

What language is aiolimiter written in? +

The primary language is Python. Topics include: asyncio, leaky-bucket, rate-limiting.

Is aiolimiter actively maintained? +

Yes, the last recorded push was on Sep 25, 2026 with 3 open issues being tracked.

How many stars does aiolimiter have? +

aiolimiter has 781 stars and 31 forks on GitHub.

How does aiolimiter rank among GitHub repositories? +

With 781 stars, mjpieters/aiolimiter is ranked #2,962 globally across all repositories tracked on GitHubRepo and #373 among Python projects.

What license is aiolimiter distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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