aws-sdk-pandas

Provides a consistent pandas-like syntax for diverse AWS services like S3, Athena, and Redshift, eliminating the need to write verbose boto3 boilerplate, as demonstrated in the Quick Start examples.

Supports extensive AWS services including S3, Athena, Glue, Redshift, Timestream, and more, enabling comprehensive data workflows within the AWS ecosystem, as listed in the README's feature coverage.

Integrates with Modin and Ray for parallel execution, allowing workflows to scale across clusters, highlighted in the 'At scale' section and tutorials.

Abstracts complex AWS interactions into simple DataFrame operations, such as wr.s3.to_parquet() for writing datasets, speeding up ETL pipeline development.