Open source. Open possibilities.

NVIDIA cuDF is a GPU-accelerated DataFrame library for tabular data processing, part of the CUDA-X suite. It provides pandas-compatible APIs, a Polars GPU engine, and a Dask backend for high-performance data manipulation.

Arrow is a Python library that simplifies creation, manipulation, formatting, and conversion of dates, times, and timestamps with timezone awareness and human-friendly API.

Apache Arrow is a universal columnar memory format and multi-language toolbox designed for efficient data interchange and in-memory analytics.

Polars is an extremely fast analytical query engine for DataFrames written in Rust, featuring multi-threaded execution and support for datasets larger than RAM.

A reusable, pluggable Python/pytest-based test suite for validating ADBC database drivers. It runs SQL queries against drivers to test feature support, data type handling, and database-specific quirks, generating documentation of supported and unsupported features. Supports per-driver test overrides and a consolidated .txtcase test format.

An ADBC driver for Apache DataFusion, providing a standard interface for connecting to and querying data engines using Apache Arrow. Implemented in Rust and currently experimental.

Apache DataFusion is an extensible query engine written in Rust that uses Apache Arrow as its in-memory format, providing SQL and DataFrame APIs for building fast analytic systems.