ExplainAI

Interpret machine learning models visually and interactively, directly in JavaScript.


Overview

This is the complete ExplainAI package that includes all components:

- explainai-core - Core explainability algorithms (SHAP, LIME)
- explainai-ui - React visualization components
- explainai-node - Node.js CLI tools

Install this package to get everything at once, or install individual packages for more control.

Installation

``bash
npm install explainai
`

Or install individual packages:

`bash


Just the core algorithms

npm install explainai-core

Core + UI components

npm install explainai-core explainai-ui

Node.js CLI tools

npm install explainai-node
`

Quick Start

`typescript
import { explain, createApiModel } from 'explainai';
import { FeatureImportanceChart } from 'explainai';

// Create a model
const model = createApiModel(
{ endpoint: 'http://localhost:3000/predict' },
{ inputShape: [10], outputShape: [1], modelType: 'regression' }
);

// Generate explanation
const explanation = await explain(model, [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], {
method: 'shap',
config: { samples: 100 }
});

// Visualize (React)

`

Individual Packages

$3

Core algorithms and model interfaces.

`bash
npm install explainai-core
`

Documentation

$3

React visualization components.

`bash
npm install explainai-ui
`

Peer Dependencies: react@^18.0.0, react-dom@^18.0.0

Documentation

$3

Node.js CLI tools for command-line usage.

`bash
npm install -g explainai-node

Use CLI


explainai explain --method shap --input data.json --endpoint http://localhost:3000/predict
`

Documentation

$3

Interactive demo application (not included in this package, available separately).

`bash
npm install explainai-playground
``

Documentation

Features

- 🔍 Multiple Explainability Methods: SHAP, LIME, Grad-CAM, Integrated Gradients
- 🌐 Universal Model Support: TensorFlow.js, ONNX.js, REST APIs, custom implementations
- ⚡ High Performance: Optimized algorithms with WebAssembly acceleration
- 🎨 Rich Visualizations: Interactive React components
- 🔒 Privacy-First: Client-side processing, no data leaves your browser
- 📦 Modular: Use only what you need

Documentation

- Full Documentation
- Getting Started Guide
- API Reference
- Examples

Use Cases

- Model Dashboards: Embed explainability in monitoring tools
- AI Product UIs: Help users understand AI decisions
- Compliance Auditing: Provide visual proof for regulatory requirements
- Education: Teach interpretability in interactive environments
- MLOps Integration: Automated bias and interpretability checks

Requirements

- Node.js ≥18.0.0
- React ≥18.0.0 (for UI components)

License

MIT - see LICENSE for details.

Contributing

We welcome contributions! Please see the Contributing Guide.

Author

Yash Gupta (@gyash1512)

Repository

github.com/gyash1512/ExplainAI