package.json

{
  "name": "dataherd-raika",
  "description": "\"Dataherd-Raika is a library designed to simulate large-scale user behavior datasets. It takes a single user event (like a click or keyword input) and, by applying simple probability distributions and custom variables, expands it into a vast dataset.\"",
  "version": "1.3.0",
  "main": "./src/trackUserEvents.js",
  "types": "./src/trackUserEvents.d.ts",
  "icon": "./assets/dataherd-raika.png",
  "scripts": {
    "test": "jest",
    "build": "webpack --mode production",
    "build:webpack": "webpack",
    "build:esm": "tsc --module es2015 --outDir dist/esm"
  },
  "repository": {
    "type": "git",
    "url": "github.com/cobluestars/dataherd-raika"
  },
  "keywords": [
    "front-end",
    "web",
    "bigdata",
    "data",
    "simulation",
    "user-behavior",
    "analytics",
    "data-science",
    "javascript",
    "typescript",
    "npm-package",
    "data-generation",
    "machine-learning",
    "user-experience",
    "statistics"
  ],
  "author": "cobluestars",
  "license": "MIT",
  "devDependencies": {
    "@babel/core": "^7.23.7",
    "@babel/preset-env": "^7.23.7",
    "@babel/preset-typescript": "^7.23.3",
    "@types/jest": "^29.5.11",
    "@types/node": "^20.10.6",
    "@types/webpack": "^5.28.5",
    "babel-loader": "^9.1.3",
    "jest": "^29.7.0",
    "ts-jest": "^29.1.1",
    "ts-node": "^10.9.2",
    "typescript": "^5.3.3",
    "webpack": "^5.89.0",
    "webpack-cli": "^5.1.4"
  }
}