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Plausible vs Umami

Both are open-source self-host replacements for privacy-first, cookie-free web analytics. Stats below are pulled live from the GitHub API at build time.

Plausible Umami
Health unknown unknown
GitHub stars ★ — ★ —
Last commit unknown unknown
Open issues
License AGPL-3.0 MIT
Setup time 10min docker-compose 10min docker-compose
Monthly cost $5 VPS for sites under ~100k pageviews/mo (Plausible + Postgres + ClickHouse). $5 VPS — Next.js + Postgres or MySQL.
Good fit for Marketing sites and SaaS landing pages that want pageviews + sources + UTM tracking with no cookie banner. Devs who want a single-binary-feel analytics stack and a clean dashboard.
Weak at No funnels-as-deep as GA4; not built for ecommerce attribution out of the box. No funnel builder in OSS edition; cohort analysis is shallow.

Side-by-side data is sourced from /google-analytics/ — the SaaS where these two land in the same comparison set.

When to pick which

Both ship the same core promise — pageviews + sources + UTM tracking, no cookies, no banner — but they diverge sharply on the ops cost. Umami runs on a single Postgres (or MySQL) and a Next.js process; a $5 VPS handles it comfortably and you can plausibly forget about it for months. Plausible's stack is heavier — Elixir app + Postgres + ClickHouse — and that ClickHouse is the part that rules out the cheapest VPS tier; budget $10/mo and a small ops habit. Pick Umami when the bar is 'anything cheaper and lighter than Google Analytics' and the dashboard is the deliverable. Pick Plausible when you want goal funnels, the official Google Analytics importer (it can pull GA4 metadata), and the more polished public dashboards — the Plausible product team treats analytics as the company's whole surface, while Umami stays tightly scoped. Both have AGPL/MIT licenses friendly to embed-and-forget self-hosting; neither will cover deep cohort analysis, so if that's the requirement, you're shopping for PostHog instead.