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valdo-js

v0.0.1

Published

JavaScript/WASM bindings for Valdo time series anomaly detection library

Readme

Valdo JavaScript/WASM Bindings

npm version license

JavaScript and WebAssembly bindings for the Valdo time series anomaly detection library.

Quick Start

Installation

npm install valdo-js

Basic Usage

import init, { Detector, AnomalyStatus } from 'valdo-js';

// Initialize WASM
await init();

// Create detector
const detector = new Detector(BigInt(10), 0.0001, 0.998, BigInt(200));

// Train on historical data  
const timestamps = new Float64Array([1, 2, 3, 4, 5]);
const values = new Float64Array([10, 11, 12, 13, 14]);
detector.train(timestamps, values);

// Detect anomalies
const result = detector.detect(6, 20);
console.log(result === AnomalyStatus.Normal ? 'Normal' : 'Anomaly');

// Always cleanup
detector.free();

Development

Building

Build the WASM package:

npm run build          # Build for web (default)
npm run build-nodejs   # Build for Node.js
npm run build-bundler  # Build for bundlers
npm run build-all      # Build all targets

Development Server

Run the example with a local server:

npm run dev    # Builds and serves example
npm run serve  # Just serves example (requires existing build)

Publishing

npm run publish-dry  # Test publication
npm run publish-npm  # Actual publication to npm

Example

See the example/ directory for a complete web application demonstrating real-time anomaly detection with interactive charts.

Run the example:

npm run dev
# Open http://localhost:8000

Package Structure

bindings/js/
├── src/           # Rust source code
├── pkg/           # Generated WASM package (npm publishable)
├── example/       # Web demo application
├── Cargo.toml     # Rust package configuration  
└── package.json   # npm package configuration

API Documentation

For complete API documentation, see the package README or visit npm.

License

MIT © Mathew Shen