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..
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.
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.
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.
Apache Kafka® compatible broker with S3, PostgreSQL, SQLite, Apache Iceberg and Delta Lake