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@vizcrush/ai

v1.0.0

Published

AI-native data analysis: anomaly detection, auto-optimization, summarization, embeddings

Vulnerabilities

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Links

Git

Maintainers

pallavl12pallavl12

Keywords

aillmnatural-languagequeryvisualization

Readme

@vizcrush/ai

Anomaly and changepoint detection, auto-configuration, LLM-ready summaries, shape embeddings.

Part of vizcrush — high-performance data primitives for browser visualization, written in Rust, compiled to WebAssembly, with a pure-JS fallback.

Install

npm install @vizcrush/ai

Example

import { detectAnomalies, summarizeForLLM } from "@vizcrush/ai";

const anomalies = detectAnomalies(sensorData, 3.0);
const paragraph = summarizeForLLM(x, y); // fits in an LLM context window

Documentation

Full guides and API reference: debug-diary-1.github.io/vizcrush · The vizcrush Book

License

MIT