rustframe

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Rustframe: A lightweight dataframe helper for Rust

Rustframe is a simple dataframe helper for simple math and data manipulation in Rust.

Rustframe keeps things simple, safe, and readable. It is handy for quick numeric experiments and small analytical tasks, but it is not meant to compete with powerhouse crates like polars or ndarray.

What it offers

• Math that reads like math – element‑wise +, −, ×, ÷ on entire frames or scalars.
• Broadcast & reduce – sum, product, any/all across rows or columns without boilerplate.
• Boolean masks made simple – chain comparisons, combine with &/|, get a tidy BoolMatrix back.
• Date‑centric row index – business‑day ranges and calendar slicing built in.
• Pure safe Rust – 100 % safe, zero unsafe.

Heads up

• Not memory‑efficient (yet) – footprint needs work.
• Feature set still small – expect missing pieces.

On the horizon

• Optional GPU help (Vulkan or similar) for heavier workloads.
• Straightforward Python bindings using pyo3.

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Quick start

use chrono::NaiveDate;
use rustframe::{
    frame::{Frame, RowIndex},
    matrix::{BoolOps, Matrix, SeriesOps},
    utils::{BDateFreq, BDatesList},
};

let n_periods = 4;

// Four business days starting 2024‑01‑02
a let dates: Vec<NaiveDate> =
    BDatesList::from_n_periods("2024-01-02", BDateFreq::Daily, n_periods)
        .unwrap()
        .list()
        .unwrap();

let col_names = vec!["a".into(), "b".into()];

let ma = Matrix::from_cols(vec![
    vec![1.0, 2.0, 3.0, 4.0],
    vec![5.0, 6.0, 7.0, 8.0],
]);
let mb = Matrix::from_cols(vec![
    vec![4.0, 3.0, 2.0, 1.0],
    vec![8.0, 7.0, 6.0, 5.0],
]);

let fa = Frame::new(ma, col_names.clone(), Some(RowIndex::Date(dates.clone())));
let fb = Frame::new(mb, col_names, Some(RowIndex::Date(dates)));

// Math that reads like math
let result = &fa * &fb;            // element‑wise multiply
let total = result.matrix().sum_vertical().iter().sum::<f64>();
assert_eq!(total, 184.0);