amazon-sqs-extended-client
Python version of AWS SQS extended client
Decision gist · record as of 2026-08-14
Yes, if you need to send SQS messages over 256 KB and want a drop-in boto3 extension. The package is stable, has no known vulnerabilities, and low install friction. However, maintenance is dormant, so verify it handles your specific SQS features (FIFO, deduplication) and concurrency model before committing to production.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires an AWS account, valid credentials, an existing SQS queue, and an S3 bucket for payload storage.
- Low install friction with a single pure-Python dependency (boto3).
- Maintenance is dormant—last commit was 2024-09-11—but the package is marked Production/Stable, suggesting it may be feature-complete rather than actively developed.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions; you must include a copy of the license and note any modifications.
last release 2024-09-11 (702 days) · last repo commit 2024-09-11 · 52 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 217,066 downloads/mo, #9,366 on PyPI
Alternatives
Verify before relying
import boto3
client = boto3.client('sqs', region_name='us-east-1')
client.large_payload_support = 'my-bucket'
client.send_message(QueueUrl='queue-url', MessageBody=large_payload)- Whether the package handles concurrent access to S3 payloads safely in multi-threaded or async contexts.
- Performance characteristics and latency overhead when sending/receiving messages near or exceeding 256 KB.
- Compatibility with SQS features like message deduplication, FIFO queues, or visibility timeouts.
What it is and what it does
This package wraps boto3's SQS client to transparently handle messages exceeding SQS's 256 KB limit by storing the actual payload in S3 and placing a reference in the queue. It mirrors the behavior of the Java extended client library and manages the full lifecycle: sending large messages, retrieving them with dereferencing, and optionally deleting S3 payloads when messages are consumed.
You configure it by setting attributes on the boto3 client (large_payload_support for the bucket name, always_through_s3 to force all messages to S3, use_legacy_attribute for backward compatibility) and then use send_message, receive_message, and delete_message as normal—the library handles S3 interaction transparently. It supports messages up to 2 GB and enforces a maximum of 10 message attributes per payload.
Use it for
- Send and receive SQS messages larger than 256 KB without rewriting application code.
- Archive large message payloads in S3 while maintaining SQS queue semantics for ordering and delivery.
- Migrate from the Java extended client to Python while preserving message format compatibility.
- Handle occasional large payloads without redesigning your queue architecture.
- Clean up S3 payloads automatically when messages are deleted from the queue.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need to send SQS messages over 256 KB and want a drop-in boto3 extension.
The package is stable, has no known vulnerabilities, and low install friction. However, maintenance is dormant, so verify it handles your specific SQS features (FIFO, deduplication) and concurrency model before committing to production.
Install
amazon-sqs-extended-client on PyPI
Before you install
Low install friction with a single pure-Python dependency (boto3). Maintenance is dormant—last commit was 2024-09-11—but the package is marked Production/Stable, suggesting it may be feature-complete rather than actively developed.
Requires an AWS account, valid credentials, an existing SQS queue, and an S3 bucket for payload storage.
License in practice
Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions; you must include a copy of the license and note any modifications.
Quickstart
import boto3
client = boto3.client('sqs', region_name='us-east-1')
client.large_payload_support = 'my-bucket'
client.send_message(QueueUrl='queue-url', MessageBody=large_payload)Verify before relying
- Whether the package handles concurrent access to S3 payloads safely in multi-threaded or async contexts.
- Performance characteristics and latency overhead when sending/receiving messages near or exceeding 256 KB.
- Compatibility with SQS features like message deduplication, FIFO queues, or visibility timeouts.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release <4.0,>=3.7 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packageboto3 |
| Maintenance | Dormant 702 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 217,066 / month, #9,366 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/StableIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9 |
Evidence: amazon_sqs_extended_client-1.0.1-py3-none-any.whl
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See also amazon-sns-extended-client · synapse-s3-storage-provider · aws-cdk.aws-sqs · minio · aws-cdk.aws-sns-subscriptions · boto3 · s3fs · s3transfer · aws-cdk.aws-autoscaling-hooktargets · django-s3-storage