Parallel computing with task scheduling

cuDF - GPU DataFrame Library

N-D labeled arrays and datasets in Python

The flexibility of Python with the scale and performance of modern SQL.

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

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

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

Python package for earth-observing satellite data processing

Fast data store for Pandas time-series data

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

Scalable machine 🤖 learning for time series forecasting.

Distributed SQL Engine in Python using Dask

Pandas and Spark DataFrame comparison for humans and more!

Geospatial image resampling in Python

A full pipeline AutoML tool for tabular data

Universal Regridder for Geospatial Data