PostHog: Open-source product analytics, session recording, feature flagging, and A/B testing

PostHog: Open-source product analytics, session recording, feature flagging, and A/B testing

PostHog is a self-hosted marketing and web analytics tool. Open-source product analytics, session recording, feature flagging, and A/B testing.

Why self-host PostHog

Self-hosting PostHog removes the dependency on a third-party service. For anyone who values data ownership, that matters more than convenience in the long run.

What it does

PostHog falls into the Marketing, Web Analytics category of self-hosted software. It is designed to be deployed on your own infrastructure, whether that is a home server, a VPS, or a local machine running Docker.

Community traction

The project has 20k stars on GitHub, which is a reasonable proxy for how widely it is used. Active repositories tend to ship bug fixes faster and have better documentation than projects that stall after the initial release.

Deployment

Most users run PostHog via Docker Compose. The typical setup involves one or two containers and a volume for persistent data.

Alternatives

If PostHog does not fit your needs, common alternatives include Customer.io, Braze, Google Analytics. The self-hosted versions of these tools often differ in resource requirements and feature focus, so it is worth testing the one that matches your workload.

Maturity

The current release is 1.38.1. The project has moved past early development and tends to ship stable, documented releases.

License

It is licensed under MIT, making it freely available for personal and commercial use.

Whether you are just starting with self-hosting or adding to an existing setup, PostHog is a reasonable pick in the marketing and web analytics space.