struktura 1.8.7

Time-series anomaly detection with no training data: detrended fluctuation analysis (DFA, Hurst exponent), a self-calibrating streaming monitor for sensors and telemetry, and C99 code generation for embedded and flight software. no_std.
Documentation 
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cff-version: 1.2.0
message: "If you use Struktura in your research, please cite it."
title: "Struktura: Universal Anomaly Detection via Detrended Fluctuation Analysis"
authors:
  - family-names: "Koščák"
    given-names: "Filip"
    alias: "philphauler"
type: software
license: "MIT OR Apache-2.0"
repository-code: "https://github.com/koscak-labs/struktura"
url: "https://crates.io/crates/struktura"
keywords:
  - detrended-fluctuation-analysis
  - anomaly-detection
  - predictive-maintenance
  - structural-health
  - rust
  - dfa
abstract: >-
  Struktura detects structural shifts in any time-series signal
  using Detrended Fluctuation Analysis (DFA). Bearings, heartbeats,
  spacecraft, DNA. Zero deps, no_std, no hyperparameters.
version: "1.8.0"
date-released: "2026-09-18"