aiobotocore

What it is and what it does

aiobotocore wraps botocore and aiohttp to provide an async-first AWS client for use in asyncio applications. Instead of blocking on network calls, you await them, allowing your event loop to handle other work concurrently. It mirrors botocore's API—same method names, same response shapes—so if you know boto3, the transition is straightforward: add await before method calls and use async context managers to manage client lifecycle.

The library supports most AWS services (S3, DynamoDB, SNS, SQS, CloudFormation, Kinesis are explicitly tested) and likely works with others via the same await-based pattern. It handles connection reuse, SSL context creation without blocking the loop, and streaming responses. You can integrate it into existing async codebases using AsyncExitStack or as a context manager, and pair it with optional type stubs (types-aiobotocore) for IDE completion and static type checking.

Use it for

• Build async web services or microservices that fetch data from S3, DynamoDB, or other AWS services without blocking request handlers.
• Write concurrent batch jobs that upload or download many objects to/from S3 while respecting rate limits and connection pooling.
• Integrate AWS API calls into async event-driven applications (e.g., asyncio tasks, FastAPI handlers) without spawning threads.
• Stream large objects from S3 asynchronously, reading chunks without blocking the event loop.
• Paginate through large AWS API results (e.g., list_objects_v2) using async iteration within a single coroutine.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Install

aiobotocore on PyPI

Before you install

Low friction installation with a pure-Python wheel. Actively maintained with a recent release (13 days old) and 1423 repository stars. Eight runtime dependencies are all well-established async/AWS libraries.

Requires Python 3.10 or later and AWS credentials (via environment variables or explicit parameters).

License in practice

Apache-2.0 permissive license allows commercial and private use with minimal restrictions; you must include a copy of the license and state significant changes.

Quickstart

import asyncio
from aiobotocore.session import get_session

async def example():
    session = get_session()
    async with session.create_client('s3', region_name='us-west-2') as client:
        resp = await client.list_buckets()
        print(resp)

asyncio.run(example())

Package facts

Evidence: aiobotocore-3.9.0-py3-none-any.whl

Tags

More Internet packages

See also aiomoto · aioboto3 · amazon-dax-client · aioaws · onvif-zeep-async · miniopy-async · moto · types-aiobotocore-s3 · types-aiobotocore-ec2 · types-aiobotocore-connect