A Rust DataFrame implementation, built on Apache Arrow
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Updated
Oct 26, 2020 - Rust
A Rust DataFrame implementation, built on Apache Arrow
Query MongoDB via Apache Arrow and DataFusion
HASH uses Apache Arrow within hEngine for in-memory columnar data representation and zero-copy reads
A fast and simple command-line (CLI) tool to convert a Parquet file to an Apache Arrow file
Kusto client library optimized for data science workloads
A lightweight Logging and Tracing observability solution for Rust, built with Apache Arrow, Apache Parquet and Apache DataFusion.
A collection of user defined functions, from your favourite databases, in Apache Datafusion
Efficiently evolve your old fixed-length data files into modern file formats.
In-memory Columnar Database
Interoperability between Polars and Clickhouse
Query and extract entity data from Rerun data files.
A simple distributed SQL query engine written in Rust
A Book about how SQLite works. Rewriting SQLite in Rust for Learning and Fun and writing a book I wished I had when started.
A high-performance atelier for Fabric patterns - MCP server built with Rust + Apache Arrow
In-memory OLAP SQL server for object storage data.
🚀 High-performance Rust ASN mapper with Apache Arrow columnar storage, SIMD optimization, and native MCP server support. 10-100x faster than Go implementation. Features sub-microsecond IP lookups, AI agent integration, and comprehensive ASN/GeoIP data.
Metadata for Apache Arrow IPC format
Apache Arrow-compatible space-efficient "tape" class in pure Rust to be used with StringZilla for GPU, NUMA, and disk transfers of variable length strings
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