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!

:truck: 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

🪴 Nebari - your open source data science platform

Merlin Models is a collection of deep learning recommender system model reference implementations

Universal Regridder for Geospatial Data

Turn a STAC catalog into a dask-based xarray

The Volatility Collaborative GUI

Amazon SageMaker Local Mode Examples

:earth_americas: Verification of weather and climate forecasts :earth_africa:

A web frontend for scheduling Jupyter notebook reports

Deploy Dask on job schedulers like PBS, SLURM, and SGE

Image Reading, Metadata Conversion, and Image Writing for Microscopy Images in Python