NVIDIA cuDF Documentation

NVIDIA cuDF (pronounced “KOO-dee-eff”) is a GPU-accelerated library for tabular data processing. It is part of the RAPIDS suite of libraries and is composed of multiple sub-projects:

Library	Description
cudf	A Python library providing a pandas-like DataFrame API and a zero-code change accelerator, cudf.pandas, for existing pandas code.
cudf-polars	A Python library providing a GPU engine for Polars.
dask-cudf	A Python library providing a GPU backend for Dask DataFrames.
libcudf	A CUDA C++ library with Apache Arrow compliant data structures and fundamental algorithms for tabular data.
pylibcudf	A Python library providing Cython bindings for libcudf.

Accelerated Data Engines and Tools

The following data engines and tools integrate with cuDF:

Data engine or tool	cuDF integration	Technical documentation
Apache Spark	cuDF plugin for Apache Spark	cuDF for Apache Spark user guide
DuckDB	Sirius	Sirius documentation
pandas	cudf.pandas	cudf.pandas documentation
Polars	Polars GPU engine	Polars GPU engine documentation
Presto	Presto-GPU	Presto on GPU tutorial
Velox	Velox on GPU (experimental)	Velox-cuDF documentation

Development

• Developer Guide