create-javanese-analyzer

Scaffold a new Javanese Krama Analyzer application in seconds

The easiest way to get started with Javanese Krama Analyzer is by using create-javanese-analyzer. This CLI tool enables you to quickly start building a new application with all the setup done for you.

🚀 Quick Start

Interactive Mode

npx create-javanese-analyzer

You'll be prompted to enter a project name.

Non-Interactive Mode

npx create-javanese-analyzer my-analyzer-app

This will create a directory called my-analyzer-app with all the necessary files.

📦 What's Included?

The generated project includes:

• ✅ Next.js 16 with App Router
• ✅ TypeScript for type safety
• ✅ Tailwind CSS for styling
• ✅ @javanese-ai/core - Javanese syntax analyzer
• ✅ Framer Motion for animations
• ✅ Pre-configured development environment
• ✅ Ready to deploy to Vercel

🎯 After Installation

Once the installation is complete:

cd my-analyzer-app
npm run dev

Your application will be running at http://localhost:3000

📚 Project Structure

my-analyzer-app/
├── packages/
│   └── core/              # @javanese-ai/core package
├── web/                   # Next.js application
│   ├── app/              # App Router pages
│   ├── components/       # React components
│   └── public/           # Static assets
├── package.json          # Workspace configuration
└── README.md

🛠️ Available Scripts

• npm run dev - Start development server
• npm run build - Build for production
• npm run start - Start production server
• npm run lint - Run ESLint

🌐 Deployment

The easiest way to deploy your app is with Vercel:

📖 Documentation

For full documentation, visit javanese-ai.vercel.app/docs

🤝 Contributing

Contributions are welcome! Please visit the main repository.

📄 License

MIT © Surya

Made with ❤️ for preserving Javanese language and culture