Apache Arrow
Showing 13 of 13 projects
An extremely fast query engine for DataFrames, written in Rust, with multi-language frontends.
An interactive analytics and data visualization component for large and streaming datasets, with a high-performance WebAssembly engine.
A GPU-accelerated DataFrame library for tabular data processing, part of the RAPIDS data science suite.
An extensible SQL query engine written in Rust, using Apache Arrow as its in-memory format for building fast database and analytic systems.
A high-performance Python DataFrame library for lazy out-of-core processing and visualization of billion-row datasets at interactive speeds.
Open-source data pipelines for cloud asset inventory, CSPM, FinOps, and vulnerability management across AWS, Azure, GCP, and 70+ sources.
Open-source data pipelines to sync cloud infrastructure metadata from AWS, Azure, GCP, and 70+ sources into your data warehouse.
A high-performance multi-language serialization framework using JIT compilation and zero-copy techniques for fast data exchange.
A Python library that simplifies data integration between pandas and AWS services like Athena, S3, Redshift, and more.
A Python library that simplifies data integration between pandas and AWS services like Athena, S3, Redshift, and more.
A Rust-based middleware framework for building low-latency, composable, and distributed AI robotic applications using dataflow graphs.
Feather is a binary columnar serialization format for data frames, enabling fast and interoperable data sharing between Python, R, and other languages.
A collection of GPU-accelerated graph analytics libraries for creating, manipulating, and executing scalable graph algorithms.
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