Best open source analytics tools. An honest roundup.

• ·Want to ask your numbers in plain English and trust the answer? smolanalytics: the commercial pick, a verdict on what to fix, answers computed not guessed.
• ·Want the deepest all-in-one product suite? PostHog: funnels, pixel-perfect DOM replay, and the deepest experiment tooling together, if you can carry the self-host weight.
• ·Just need clean, private web analytics for a site? Plausible or Umami: cookieless, tiny, no consent banner.
• ·Want a mature, do-everything web suite? Matomo, if you are fine running PHP and MySQL.
• ·Mobile-heavy or enterprise? Countly, for its SDKs and community edition.

Ranked for the specific reader this page serves: someone who wants a lightweight, honest, ownable analytics tool they can ask questions of. If your priority is a different job (say, pixel-perfect DOM session replay), the order would shift, and the tradeoffs below say exactly when it should.

1. 1smolanalyticsthe commercial investigator · ask-in-plain-english · verdictcommercial

   Best for: Best if you want an investigator, not another dashboard: it finds what changed, names who it hit, and hands you a daily verdict on what to fix, with plain-English answers computed, not guessed. Web and product analytics (visitors, referrers, funnels, retention, paths, cohorts) from one snippet. 14-day trial at Pro limits, no card, then from $19/mo.

   Tradeoff: It is the one tool here that is not open source: commercial and managed, with portability instead (one isolated instance per project, one-file data export any time). It ships feature flags, A/B experiments, heatmaps, surveys, and an event-based session inspector, but not pixel-perfect DOM session replay (the video-style recording). If that DOM recording is the point, keep a heavier tool for it. It is a young, one-person project.

   see the features →
2. 2PostHogall-in-one product analyticsMIT (with some paid features)

   Best for: Best all-in-one open-source product suite: funnels, session replay, feature flags, A/B experiments, surveys, and heatmaps in one platform. If you want every product tool under one roof, it is the deepest.

   Tradeoff: Correspondingly heavy to self-host. Running it yourself means Kafka, ClickHouse, Redis, and Postgres; PostHog itself has written that many teams lack the resources to run it reliably.

   compare: PostHog →project site →
3. 3Plausible (self-host)privacy-first web analyticsAGPL

   Best for: Best lightweight, privacy-first web analytics. Cookieless by default, no consent banner, a clean single-page dashboard, and a script that is a fraction of a kilobyte. Easy to self-host with its Docker setup.

   Tradeoff: Web analytics only: it is not built for product events, funnels, retention, or cohorts. Self-hosting runs on Elixir with ClickHouse and Postgres behind it.

   compare: Plausible (self-host) →project site →
4. 4Umamisimple, self-hosted web analyticsMIT

   Best for: Best minimal self-hosted web analytics. Privacy-friendly, cookieless, a tidy dashboard, and a very small footprint. A popular free swap for Google Analytics on a marketing site.

   Tradeoff: Also web-first: event tracking is basic, and there are no real product funnels, retention, or cohorts. It needs a Postgres or MySQL database alongside it.

   compare: Umami →project site →
5. 5Matomomature full web-analytics suiteGPL

   Best for: Best mature, full-featured web-analytics suite. The long-standing open-source alternative to universal Google Analytics, with the deepest reporting, goals, ecommerce, and a big plugin marketplace.

   Tradeoff: Heaviest of the web-analytics tools to run: a PHP + MySQL application to install, host, and keep updated. The interface is dense, and it is web-analytics-shaped, not product-analytics-shaped.

   project site →
6. 6Countlymobile + enterprise product analyticsAGPL (community) / commercial

   Best for: Best for mobile-heavy and enterprise product analytics. Strong SDKs across mobile platforms, crash reporting, push, and a community edition you can self-host.

   Tradeoff: The community edition is a subset of the enterprise product, and the stack (Node + MongoDB) is more to operate than a single binary. Aimed at bigger teams than a solo builder.

   project site →

Footprints are the typical documented self-host stacks; each project's cloud hides all of it for you. "Ask in plain English" means a first-class natural-language surface, not that you can query a database yourself.

smolanalytics is the one commercial tool on this page: paid, managed, with nothing for you to run, no Kafka, ClickHouse, or Postgres. From one snippet you get web analytics (visitors, referrers, UTM) and product analytics (funnels, retention, paths, cohorts), plus a verdict that tells you what to fix on the dashboard and in a morning brief. The anti-lock-in story is portability, not source code: each project runs on its own isolated instance, nothing phones home, and your data exports in one file any time.

The wedge is the ask surface. You ask in plain English from a dashboard bar, or from your own Cursor or Claude over MCP (97 tools, 15 prompts), and the answer is computed from the same deterministic reports the dashboard renders, never generated by an LLM. You bring your own AI model, so the AI part is free. It has a cookieless mode with no consent banner, and importers from PostHog, Mixpanel, Amplitude, Umami, CSV, and JSONL so switching is a copy, not a rebuild.

The honest limit: it ships feature flags, A/B experiments, heatmaps, surveys, and an event-based session inspector, but not pixel-perfect DOM session replay, the video-style recording of a real DOM. If that DOM recording is central to how you work, PostHog is the better fit and this page says so plainly. It is also a young project built by one person. Pick smolanalytics when what you want is a straight, ownable, trustworthy answer on what to fix, cheaply.

npx smolanalytics init