Assembly Line

Plausible Analytics vs PostHog

Plausible Analytics and PostHog are both web analytics software. Plausible Analytics is open source under AGPL-3.0, with 30k GitHub stars. PostHog is open source under a license set out in its repository, with 41k GitHub stars.

Which to pick

Pick Plausible Analytics when
You want privacy-compliant site analytics that non-technical staff can read at a glance.
Pick PostHog when
You build a web or mobile product and want analytics, replay and feature flags in one tool instead of stitching Mixpanel, Hotjar and LaunchDarkly together.

Side by side

What it does

Lightweight, cookie-free web analytics showing traffic, sources, goals and conversions on a single dashboard, as a hosted service or self-hosted community edition.

A product analytics suite covering event analytics, web analytics, session replay, feature flags, A/B experiments, error tracking, logs and a data warehouse.

Watch out

AGPL license, and the self-hosted community edition lags the paid cloud on features.

Self-hosting is supported only as a hobby deployment and most teams use the paid cloud, where usage-based bills can grow quickly with event volume.

Ready for

Production-ready (both)

Runs as

Cloud service and self-hosted server (both)

Built with

Elixir, Phoenix, ClickHouse and PostgreSQL

Python, Django, TypeScript, React, Rust and ClickHouse

Source code

Open source, AGPL-3.0 (network copyleft)

Open source, license unclear on GitHub

What the license allows

Use inside your business is unrestricted. If you change it and let customers use it over the internet, you must publish your changes.

GitHub could not read the license. Check it in the repository before reusing any code.

How widely known

30k GitHub stars

41k GitHub stars

How established

Established: started 8 years ago, latest release v3.2.1.

Established: started 6 years ago, latest release desktop-v0.61.946.

Other comparisons

More web and product analytics tools

Every web analytics product and project, ranked

Both sides were judged on 2026-11-03 from each project's README and GitHub data. License, age and popularity lines are worked out directly.