---
id: awswrangler
version: "3.17.1"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# awswrangler — Pandas on AWS.

License: permissive · Maintenance: active · Popularity: top 1,000 on PyPI

## Install

pip install awswrangler
uv add awswrangler
poetry add awswrangler

## Description

# AWS SDK for pandas (awswrangler)

*Pandas on AWS*

Easy integration with Athena, Glue, Redshift, Timestream, OpenSearch, Neptune, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

![AWS SDK for pandas](https://github.com/aws/aws-sdk-pandas/blob/main/docs/source/_static/logo2.png?raw=true "AWS SDK for pandas")
![tracker](https://d3tiqpr4kkkomd.cloudfront.net/img/pixel.png?asset=GVOYN2BOOQ573LTVIHEW)

> An [AWS Professional Service](https://aws.amazon.com/professional-services/) open source initiative | aws-proserve-opensource@amazon.com

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[![Code style: ruff](https://img.shields.io/badge/code%20style-ruff-000000.svg)](https://github.com/astral-sh/ruff)
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[![Checked...

## AI interpretation — verify before relying

awswrangler integrates pandas DataFrames with AWS services including S3, Athena, Redshift, Glue, Timestream, and databases like PostgreSQL and MySQL, enabling seamless data reading and writing across the AWS ecosystem.

Verdict: Well-maintained AWS SDK for pandas with active development, no known vulnerabilities, and permissive licensing. Low install friction and broad AWS service coverage make it suitable for data workflows on AWS. Optional modules must be installed explicitly from version 3.0 onward.

[View on SkillFed](https://skillfed.io/packages/awswrangler) · [View on PyPI](https://pypi.org/project/awswrangler/)