What is Databuddy used for?

Databuddy is a privacy-first web analytics platform that can be self-hosted with Docker Compose or used as a hosted service, built on ClickHouse. It is a good fit for replacing Google Analytics with privacy-friendly tracking, self-hosting product analytics and monitoring site uptime beside traffic.

Is Databuddy open source?

Yes. Databuddy is open source under the AGPL-3.0 licence. Its source code is on GitHub at databuddy-analytics/Databuddy and is written mainly in TypeScript.

Yes. Databuddy is open source, so the software itself is free to use. A managed cloud version is also available, with paid plans from $9.99 per month.

Can I self-host Databuddy?

Yes. Databuddy can be self-hosted on your own server or infrastructure.

What is Databuddy an alternative to?

Databuddy is an open-source alternative to Google Analytics, Simple Analytics and Fathom Analytics. Other open-source alternatives to Google Analytics include Plausible, Swetrix and Rybbit.

Is Databuddy actively maintained?

Yes. The most recent commit to Databuddy was on 2 October 2026, and the latest release is v0.0.1, published on 31 March 2026. The project has 1.2k stars on GitHub.

Databuddy: open-source alternative to Google Analytics

About Databuddy

Databuddy is a privacy-focused analytics platform that aims to show where visitors come from, what they do and where they drop off, so teams can decide what to build or improve next. Its stated foundation is privacy, and its topics describe it as GDPR-compliant and as an alternative to Google Analytics.

You can use a hosted version of Databuddy, or run it yourself with Docker Compose. In self-host mode, events go straight to ClickHouse and hosted billing and Databuddy's own telemetry are turned off. The stack includes a dashboard, an API, the Basket event collector, an uptime worker and a short-link service, with PostgreSQL and Redis alongside. Email and AI features are optional, and secrets and passwords are set in an environment file.

Databuddy is written in TypeScript and licensed under AGPL-3.0. The README notes that the self-hosting steps need a release containing the init image and that none had been published when it was written, and the latest tagged release is an early 0.0.1, so the project is young. It suits product teams that want ownership of their analytics data.

Key features

Privacy-first web analytics
Docker Compose self-hosting
Event collector writing to ClickHouse
Dashboard and API
Uptime worker and short-link service
Optional email and AI features

Good fit for

→Replacing Google Analytics with privacy-friendly tracking
→Self-hosting product analytics
→Monitoring site uptime beside traffic

Built with: TypeScript
Tags: web-analytics; privacy; gdpr; self-hosted; clickhouse; typescript; product-analytics; google-analytics-alternative; uptime

Databuddy: questions and answers

What is Databuddy used for?: Databuddy is a privacy-first web analytics platform that can be self-hosted with Docker Compose or used as a hosted service, built on ClickHouse. It is a good fit for replacing Google Analytics with privacy-friendly tracking, self-hosting product analytics and monitoring site uptime beside traffic.
Is Databuddy open source?: Yes. Databuddy is open source under the AGPL-3.0 licence. Its source code is on GitHub at databuddy-analytics/Databuddy and is written mainly in TypeScript.
Is Databuddy free?: Yes. Databuddy is open source, so the software itself is free to use. A managed cloud version is also available, with paid plans from $9.99 per month.
Can I self-host Databuddy?: Yes. Databuddy can be self-hosted on your own server or infrastructure.
What is Databuddy an alternative to?: Databuddy is an open-source alternative to Google Analytics, Simple Analytics and Fathom Analytics. Other open-source alternatives to Google Analytics include Plausible, Swetrix and Rybbit.
Is Databuddy actively maintained?: Yes. The most recent commit to Databuddy was on 2 October 2026, and the latest release is v0.0.1, published on 31 March 2026. The project has 1.2k stars on GitHub.