Dataframes powered by a multithreaded, vectorized query engine, written in Rust

cuDF - GPU DataFrame Library

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

CUDA-accelerated GIS and spatiotemporal algorithms

Morpheus SDK

cuGraph - RAPIDS Graph Analytics Library

NumPy & SciPy for GPU

cuML - RAPIDS Machine Learning Library

cuCIM - RAPIDS GPU-accelerated image processing library

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing …

GPU accelerated cross filtering with cuDF.

cuVS - a library for vector search and clustering on the GPU

RAPIDS Memory Manager

KvikIO - High Performance File IO

Utilities for Dask and CUDA interactions

python implementation of the parquet columnar file format.

Python tools for geographic data

reproducible benchmark of database-like ops

Statistical data visualization in Python

Parallel computing with task scheduling

Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

N-D labeled arrays and datasets in Python

Awkward Pandas extension array

The Python programming language

The fundamental package for scientific computing with Python.

matplotlib: plotting with Python

NumPy aware dynamic Python compiler using LLVM