🧠 Second Brain

Great Open-Source Tools in Rust

Last updated May 13, 2024

As Rust gets more popular. Here are three open-source tools being exited to follow. ^14914f

Let’s see other open-source tools and frameworks built in Rust:

DataFusion (Apache Arrow) - Apache Arrow DataFusion SQL Query Engine
Polars (a faster pandas)
Cube - Cube — Headless Business Intelligence for Building Data Applications
- especially the cache layer called Cube Store
- Written mostly in Rust, Cube’s data processing and storage are based on the Arrow DataFusion query execution framework which uses Apache Arrow as its in-memory format. RW Open Source Looker Alternative With Cube and Apache Superset - Cube Blog
RW Pola-RsPolars Fast Multi-Threaded DataFrame Library in Rust Python Node.js
Vector.dev - A high-performance observability data pipeline.
ROAPI - Create full-fledged APIs for slowly moving datasets without writing a single line of code.
meilisearch - Lightning Fast, Ultra Relevant, and Typo-Tolerant Search Engine written in Rust .
Tantivy: A full-text search engine library
PRQL: Pipelined Relational Query Language for transforming data
GitHub - gluesql/gluesql: GlueSQL is quite sticky. It attaches to anywhere.
Bytewax: A Real-Time Data Streaming Processor. Cloud native, highly scalable, open source, engineered for Python developers.
Pathway: Taking you from batch processing to real-time.
Daft: Distributed DataFrame for Python designed for the cloud, powered by Rust.

Less data, but still cool:

Deno - This is a fast Node.js version written in Rust
Tauri - Tauri is a framework for building tiny, blazingly fast binaries for all major desktop platforms
Yew -Yew is a modern Rust framework for creating multi-threaded front-end web apps with WebAssembly.