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@databricks/appkit-ui

v0.28.0

Published

Build Databricks Apps faster with our brand-new Node.js + React SDK. Built for humans and AI.

Downloads

9,626

Readme

AppKit

Build Databricks Apps faster with our brand-new Node.js + React SDK. Built for humans and AI.

Introduction

AppKit is a TypeScript SDK for building production-ready Databricks applications with a plugin-based architecture. It provides opinionated defaults, built-in observability, and seamless integration with Databricks services.

AppKit simplifies building data applications on Databricks by providing:

  • Plugin architecture: Modular design with built-in server and analytics plugins
  • Type safety: End-to-end TypeScript with automatic query type generation
  • Production-ready features: Built-in caching, telemetry, retry logic, and error handling
  • Developer experience: Remote hot reload, file-based queries, optimized for AI-assisted development
  • Databricks native: Seamless integration with SQL Warehouses, Unity Catalog, and other workspace resources

Plugins

AppKit's power comes from its plugin system. Each plugin adds a focused capability to your app with minimal configuration.

  • Analytics Plugin — Query your Lakehouse data directly from your app. Define SQL queries as files, execute them against Databricks SQL Warehouses, and get automatic caching, parameterization, and on-behalf-of user execution out of the box.
  • Genie Plugin — Conversational AI interface powered by Databricks AI/BI Genie. Let users ask natural language questions against your data and get answers with automatic chart inference and visualization.
  • Files Plugin — Browse, upload, and manage files in Unity Catalog Volumes. Supports multiple volumes, content type validation, and on-behalf-of user access.
  • Lakebase Plugin — OLTP database operations against Databricks Lakebase with automatic OAuth token management. Returns a standard pg.Pool compatible with Prisma, Drizzle, TypeORM, and other ORMs.

Missing a plugin? Open an issue and tell us what you need — community input directly shapes the roadmap.

Getting started

Follow the Getting Started guide to get started with AppKit.

🤖 For AI/code assistants, see the AI-assisted development guide.

Documentation

📖 For full AppKit documentation, visit the AppKit Documentation website.

Contributing

See CONTRIBUTING.md for development setup and contribution guidelines.