andygrove

qpml

Query Plan Markup Language

sqlfuzz

SQL Fuzz Testing Utilities

ray-sql

Distributed SQL Query Engine in Python using Ray

bdt

Boring Data Tool

datafusion-examples

DataFusion Examples

classy

Classy: Rust library for parsing Java class files

arrow-ballista

Ballista Distributed Query Engine

arrow-datafusion

Apache arrow

riff-io

Rust crate for reading Resource Interchange File Format (RIFF) files

ser-io

Rust crate for reading and writing SER files used in astrophotography

andygrove

Andy Grove Github Profile Page

delta

An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs

iceberg

Apache Iceberg

spark

Apache Spark

spark-rapids-experiments

tpctools

Tools for generating TPC-* datasets

arrow

Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. Languages currently supported include C, C++, Java, JavaScript, Python, and Ruby.

arrow-ballista-python

Apache Arrow Ballista Python bindings

arrow-datafusion-comet

Apache Arrow DataFusion Comet Spark Accelerator

arrow-datafusion-python

DataFusion Python Bindings

arrow-rs

Apache arrow

arrow-site

Mirror of Apache Arrow site

bench_csv

CSV processing benchmarks for different open source technologies

cudf

cuDF - GPU DataFrame Library

spark-examples

spark-examples

spark-rapids

Spark RAPIDS plugin - accelerate Apache Spark with GPUs

spark-rapids-benchmarks

Spark RAPIDS Benchmarks – benchmark sets and utilities for the RAPIDS Accelerator for Apache Spark

spark-rapids-jni

RAPIDS Accelerator JNI For Apache Spark

spark-rapids-tools

User tools for Spark RAPIDS

ultrasonic-pi-piano

Ultrasonic Pi Piano