Pallas makes querying AWS Athena easy.
It is especially valuable for analyses in Jupyter Notebook, but it is designed to be generic and usable in any application.
Main features:
- Friendly interface to AWS Athena.
- Caching – local and remote cache for reproducible results.
- Performance – Large results are downloaded directly from S3.
- Pandas integration - Conversion to DataFrame with appropriate dtypes.
- Optional white space normalization for better caching.
- Kills queries on KeyboardInterrupt.
import pallas
athena = pallas.environ_setup()
df = athena.execute("SELECT 'Hello world!'").to_df()Pallas is hosted at GitHub and it can be installed from PyPI.
This documentation is available online at Read the Docs.
.. toctree::
install
tutorial
api
develop
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license
changelog