subms-stats

Latency-distribution statistics. Pure functions on &[u64] sample arrays plus an ergonomic SubMsSamples facade.

This is the statistics primitive the subms perf harness uses internally, published as its own crate so you can use it without pulling in the bench machinery. Bring your own Vec<u64> of nanosecond readings (from any source) and compose the analyses you need.

cargo add subms-stats

Modules / Cargo features

Feature	Module	What
(always on)	`percentiles`	`percentile`, `percentile_sweep`, `mean`, `stddev`
`histogram`	`histogram`	64-bucket log2 CDF for full-distribution export
`jitter`	`jitter`	Per-window CV score - measurement-rig stability
`tail`	`tail`	Conditional tail expectation, Hill estimator, p99/p50 fatness
`robust`	`robust`	IQR, MAD, CoV, skewness, excess kurtosis
`compare`	`compare`	KS statistic, Cohen's d effect size
`bootstrap`	`bootstrap`	Reproducible bootstrap CIs for percentiles

All features are on by default. For a minimal build:

subms-stats = { version = "0.5", default-features = false }

For a focused subset:

subms-stats = { version = "0.5", default-features = false, features = ["histogram", "tail"] }

Quickstart

use subms_stats::SubMsSamples;

let raw: Vec<u64> = vec![100, 200, 150, 300, 250, 175, 125, 400];
let s = SubMsSamples::new(&raw);

let p99 = s.p99();
let p99_to_p50_ratio = s.tail_fatness_ratio();  // tail feature
let cdf = s.cdf_buckets();                        // histogram feature
let (lo, hi) = s.bootstrap_percentile_ci(0.99, 200, 0.95, 42);  // bootstrap feature

License

Dual: MIT OR Apache-2.0.

subms-stats 0.6.0

subms-stats

Modules / Cargo features

Quickstart

License