Parallel computing with task scheduling

cuDF - GPU DataFrame Library

N-D labeled arrays and datasets in Python

STUMPY is a powerful and scalable Python library for modern time series analysis

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner

A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.

A distributed task scheduler for Dask

Lightweight and extensible compatibility layer between dataframe libraries!

🚚 Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

Scalable machine 🤖 learning for time series forecasting.

Python package for earth-observing satellite data processing

Eliot: the logging system that tells you *why* it happened

Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!

Fast data store for Pandas time-series data

Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

Distributed SQL Engine in Python using Dask

Library of derived climate variables, ie climate indicators, based on xarray.

Geospatial image resampling in Python

A full pipeline AutoML tool for tabular data