3 posts
High-performance pure Rust DataFrame library — a pandas-class API with SIMD, parallel processing, and distributed compute. 0.3.0 purges the entire SQL/database stack (sqlx, rusqlite, libsqlite3-sys) to enforce Pure Rust, modernizes the columnar engine to Arrow/Parquet 58.1 and DataFusion 53.0, and upgrades SciRS2 integration to 0.4.0. The DataFrame layer of the COOLJAPAN scientific stack, alongside NumRS2.
A major milestone for the pure Rust DataFrame library — PandRS 0.2.0 delivers all planned v1.0.0 features. Google Zanzibar-style ReBAC authorization, 6,984 unwrap() calls eliminated, a zero-vulnerability default build, optional SQL backends, new SciRS2 0.3.1 stats/linalg integration, 300+ pages of docs, and 24-month LTS. 3-9x faster than pandas with up to 89% less memory.
PandRS 0.1.0, the first stable release — a 100% Pure Rust DataFrame library with 70+ pandas-compatible methods, SIMD vectorization, Rayon parallelism, and up to 89% memory reduction. 1334+ tests, 175,000+ lines of Rust. No C, no Cython, no GIL.