Welcome to the cuDF documentation!

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.

Libraries

• cudf
• cudf.pandas
• Polars GPU engine
• libcudf
• pylibcudf

Development

• Developer Guide