From 9eba5c71bc12ecc9c8693ae1db7cb6a9b81c6ab6 Mon Sep 17 00:00:00 2001 From: MarioCadenas Date: Wed, 18 Feb 2026 14:20:58 +0100 Subject: [PATCH] chore: update readme --- README.md | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) diff --git a/README.md b/README.md index aed20ac61..282dda051 100644 --- a/README.md +++ b/README.md @@ -24,6 +24,23 @@ AppKit simplifies building data applications on Databricks by providing: - **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. + +### Available now + +- **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. Perfect for building apps that surface insights from your Lakehouse. + +### Coming soon + +- **Genie Plugin** — Conversational AI interface powered by Databricks Genie +- **Files Plugin** — Browse, upload, and manage files in Unity Catalog Volumes +- **Lakebase Plugin** — OLTP database operations with automatic OAuth token management +- ...and this is just the beginning. + +> Missing a plugin? [Open an issue](https://github.com/databricks/appkit/issues/new) and tell us what you need — community input directly shapes the roadmap. + ## Getting started Follow the [Getting Started](https://databricks.github.io/appkit/docs/) guide to get started with AppKit.