Introduction

🐙 GitHub | 📚 Docs | 📖 User Guide | 🦀 Crates.io | 🔖 docs.rs

Welcome to the Rustframe User Guide. Rustframe is a lightweight dataframe and math toolkit for Rust written in 100% safe Rust. It focuses on keeping the API approachable while offering handy features for small analytical or educational projects.

Rustframe bundles:

• column‑labelled frames built on a fast column‑major matrix
• familiar element‑wise math and aggregation routines
• a growing compute module for statistics and machine learning
• utilities for dates and random numbers

#![allow(unused)]
fn main() {
extern crate rustframe;
use rustframe::{frame::Frame, matrix::{Matrix, SeriesOps}};

let data = Matrix::from_cols(vec![vec![1.0, 2.0], vec![3.0, 4.0]]);
let frame = Frame::new(data, vec!["A", "B"], None);

// Perform column wise aggregation
assert_eq!(frame.sum_vertical(), vec![3.0, 7.0]);
}

Resources

• GitHub repository
• Crates.io & API docs
• Code coverage

This guide walks through the main building blocks of the library. Each chapter contains runnable snippets so you can follow along:

1. Data manipulation for loading and transforming data
2. Compute features for statistics and analytics
3. Machine learning for predictive models
4. Utilities for supporting helpers and upcoming modules