Databuddy

Databuddy is an analytics and data management platform for web applications, covering real-time dashboards, user behavior tracking and data visualization. It is built with Next.js, React and TypeScript in a Turborepo monorepo, and the README is unusually candid about which features ship today and which are still marked as coming.

It runs on Bun with Postgres, ClickHouse and Redis underneath, split into separate services for the API, event ingestion, an investigation worker and short links. Backend images are published to GHCR, so a self-hosted deployment is a compose file rather than a build project.

The analytics surface covers the usual questions.

• Real-time dashboard: metrics update as events arrive, with user behavior tracking behind them.
• Funnel analysis: multi-step conversion paths, alongside goal tracking and conversion analytics.
• Custom events: application-specific events are tracked beyond what is captured automatically.
• Multi-tenant support: separate tenants are served from one deployment.
• Data protection: GDPR compliance, data encryption and a configurable salt for hashing IP addresses.
• API access: data is reachable programmatically, with export available.

Databuddy is AGPL-3.0 licensed. Self-hosting uses a dedicated compose file, distinct from the development one that only starts the databases. Configure the env file with an image tag, URL-safe database passwords, public URLs, an auth secret, an encryption key, an IP hash salt and an AI gateway key, start the databases, initialize the schemas from a checkout, then bring up the four backend services. Bun 1.3.14 and Node.js 20 are the prerequisites.