Open-source, privacy-first and cookieless web analytics with revenue attribution and an MCP server.
Open-source, privacy-first web analytics. One lightweight tracker script, no cookies, no cross-site profiles, aggregate-only reads — self-hostable on your own hardware under AGPL-3.0.
A hosted instance runs at getopen.so, operated by the authors: the same code, someone else's servers.
App Role -------------------- -------------------------------------------------------------------------------------------------------------------------------------------- apps/tracker The browser snippet — a few KiB, with a byte budget CI enforces apps/collector Ingest: validates, sanitizes, rate-limits, enqueues apps/worker Drains the queue into ClickHouse; sessions, rollups, exports, mail, deletions apps/api Control plane: auth, sites, keys, sharing, event definitions, funnels, widgets, revenue, AI assistant, MCP apps/query-gateway The only process allowed to read ClickHouse; verifies signed query envelopes apps/realtime The SSE stream behind the live dashboard apps/web The dashboard (Next.js) apps/cli oa — site setup, stats, device-flow login packages/ domain, postgres (+migrations), clickhouse (+migrations), redis, auth, contracts (OpenAPI), observability, integrations, migrations, testkit
Stores: Postgres (control plane), ClickHouse (events and rollups), Valkey ×2 (one durable event queue, one losable realtime cache).
What it does, in one list: page views, custom and attribute-driven events, sessions, web vitals, funnels, per-site retention, embeddable widgets, public share links, revenue analytics from your Stripe account, CSV/JSON import and export, an MCP server, and a CLI.
From the project README.
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