veloxx 0.4.0

Veloxx: High-performance, lightweight Rust library for in-memory data processing and analytics. Features DataFrames, Series, advanced I/O (CSV, JSON, Parquet), machine learning (linear regression, K-means, logistic regression), time-series analysis, data visualization, parallel processing, and multi-platform bindings (Python, WebAssembly). Designed for minimal dependencies, optimal memory usage, and blazing speed - ideal for data science, analytics, and performance-critical applications.
Documentation

veloxx

There is very little structured metadata to build this page from currently. You should check the main library docs, readme, or Cargo.toml in case the author documented the features in them.

This version has 32 feature flags, 24 of them enabled by default.

default

full (default)

advanced_io (default)

data_quality (default)

distributed (default)

This feature flag does not enable additional features.

ml (default)

simd (default)

visualization (default)

window_functions (default)

arrow (default)

parquet (default)

sqlx (default)

tokio (default)

regex (default)

linfa (default)

linfa-clustering (default)

linfa-linear (default)

linfa-logistic (default)

linfa-nn (default)

linfa-trees (default)

ndarray (default)

wide (default)

plotters (default)

plotters-svg (default)

chrono (default)

js-sys

pyo3

python

serde-wasm-bindgen

serde_json

wasm

wasm-bindgen

wasm-full