Star History
Momentum
+36
STARS · LAST 30 DAYS
1
PER DAY
#284
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +36 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +4 | +10 |
aiobotocore gained 36 stars in the last 30 days, about 1 a day, and now has 1.4K. It is about 11 years old and has averaged roughly 130 stars a year. It ranks #284 among Python repositories and #2,233 across all languages on GitHubRepo.
Trending Record
4
DAYS ON TRENDING
#1490
BEST RANK
Sep 25, 2026
FIRST APPEARANCE
Active
STATUS TODAY
aiobotocore has maintained a continuous presence across global trending indexes, peaking at #1490. Below is the 30-day activity profile:
💡 Overview
aiobotocore is an open-source project written in Python: asyncio support for botocore library using aiohttp.
Engineered for speed, consistency, and developer ease, it solves common hurdles in aiohttp, asyncio, aws. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install aiobotocore⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
aiobotocore 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
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with aiobotocore.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install aiobotocore using your package manager: `pip install aiobotocore`
Initialize your project workspace or configuration file for aiobotocore.
Import aiobotocore into your codebase or invoke it directly from your terminal.
Execute your test suite or run `aiobotocore --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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
aio-libs/aiobotocore is currently ranked #2,233 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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| #2,233 | aio-libs/aiobotocore This Project | Python | ★ 1.4K | |
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Frequently Asked Questions
What does aiobotocore do? +
asyncio support for botocore library using aiohttp
What language is aiobotocore written in? +
The primary language is Python. Topics include: aiohttp, asyncio, aws, aws-sdk, botocore.
Is aiobotocore actively maintained? +
Yes, the last recorded push was on Sep 25, 2026 with 21 open issues being tracked.
How many stars does aiobotocore have? +
aiobotocore has 1,425 stars and 209 forks on GitHub.
How does aiobotocore rank among GitHub repositories? +
With 1,425 stars, aio-libs/aiobotocore is ranked #2,233 globally across all repositories tracked on GitHubRepo and #284 among Python projects.
What license is aiobotocore distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
