Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
Official Rust implementation of Apache Arrow
Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.
A lightweight TUI application to view and query tabular data files, such as CSV, TSV, and parquet.
Parseable is an open source, unified infrastructure observability platform built in Rust on a data lake architecture. It tracks logs, metrics, traces, and events across apps, agents, and systems, reducing storage costs by up to 90% through columnar telemetry compression.
Apache Kafka® compatible broker with S3, PostgreSQL, SQLite, Apache Iceberg and Delta Lake
cryo is the easiest way to extract blockchain data to parquet, csv, json, or python dataframes
Copy to/from Parquet in S3, Azure Blob Storage, Google Cloud Storage, http(s) stores, local files or standard inout stream from within PostgreSQL
Rust-based WebAssembly bindings to read and write Apache Parquet data
An agent-native workspace for quantitative research: an in-terminal notebook, a high-performance time-series database, and a high-throughput backtesting engine. Written in Rust.