rando
Overview Link to heading
rando is a Rust statistics, distribution-fitting, and experimentation crate. It combines descriptive statistics, hypothesis tests, fitted probability distributions, rolling-window analysis, basic plotting, simple predictive models, and a small demo binary in one repository.
Ambition Link to heading
Create a ‘Mathematica-like’ experience for Rust developers, where complex statistical operations are as simple as a single function call with clean results.
What’s novel Link to heading
- Verified implementations of Shapiro-Wilk and Levene’s tests.
- Comprehensive suite of hypothesis tests (T-test, Z-test, Correlation).
- High-performance statistical toolkit focusing on ease-of-use.
Highlights Link to heading
- fit probability distributions to observed samples
- compare candidate distribution families
- run goodness-of-fit and classical hypothesis tests
- transform price-like time series into return series
- compute rolling p-values over sliding windows
Stats Link to heading
- Project page: /projects/rando/
- Primary language: Rust
- Commits: 10
- Created: 2026-04-24T01:01:18Z
- Last updated: 2026-05-04T02:24:14Z
Links Link to heading
- Repo: https://github.com/sguzman/rando
- README: /projects/readme/rando/
- DeepWiki: https://deepwiki.com/sguzman/rando/