Plausible Analytics vs Umami
Plausible Analytics and Umami are both web analytics software. Plausible Analytics is open source under AGPL-3.0, with 30k GitHub stars. Umami is open source under MIT, with 40k 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 Umami when
- You want a simple Google Analytics replacement you can self-host on Postgres with a permissive license.
Side by side
Lightweight, cookie-free web analytics showing traffic, sources, goals and conversions on a single dashboard, as a hosted service or self-hosted community edition.
Privacy-focused web and product analytics without cookies, covering traffic, campaigns, events, funnels and revenue, self-hosted or cloud.
AGPL license, and the self-hosted community edition lags the paid cloud on features.
Less depth for complex product analytics than tools like PostHog.
Production-ready (both)
Cloud service and self-hosted server
Self-hosted server and cloud service
Elixir, Phoenix, ClickHouse and PostgreSQL
TypeScript, Next.js, React, Prisma and PostgreSQL
Open source, AGPL-3.0 (network copyleft)
Open source, MIT (permissive)
Use inside your business is unrestricted. If you change it and let customers use it over the internet, you must publish your changes.
You can build it into a product you sell, as long as you keep its copyright notice.
30k GitHub stars
40k GitHub stars
Established: started 8 years ago, latest release v3.2.1.
Established: started 6 years ago, latest release v3.4.1.
Other comparisons
More web and product analytics tools
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.