Open Analytics
A cookieless, privacy-first web analytics platform with Stripe revenue attribution and an AI chat interface for querying your stats in plain English — open source and self-hostable, or hosted at getopen.so.
🔗 Visit Open Analytics
Description
Most analytics tools force a choice: Google Analytics is free but tracks visitors with cookies and buries you in menus, while privacy-friendly alternatives are often paid-only and closed source. Open Analytics tries to offer both — no cookies, GDPR-friendly by default, and a version you can run yourself for free if you'd rather not send visitor data to a third party.
Technically, it's a TypeScript/Next.js app backed by ClickHouse and Postgres, with a tracking script under 2KB. Beyond the standard real-time dashboard, funnels, and retention analytics, it adds revenue attribution tied directly to Stripe, Core Web Vitals monitoring, and an MCP server that lets AI agents query your analytics using natural language instead of a dashboard. It can import historical data from Google Analytics, Plausible, or Fathom, easing a migration rather than starting from zero.
💬 Our review
The short version: Open Analytics competes in an already-crowded privacy-analytics space (Plausible, Fathom, Umami, Simple Analytics) but differentiates with Stripe revenue attribution and an AI-agent-native MCP server that none of those directly offer yet.
Against Plausible or Fathom, pricing is comparable in the same ballpark ($9-49/mo tiers), so the decision comes down to features you actually need: if tying analytics to revenue or querying your stats via an AI agent matters, Open Analytics has an edge; if you just want simple, proven pageview tracking, the more established competitors have longer track records. Being open source and self-hostable is a genuine cost-saver for technical teams willing to run their own ClickHouse/Postgres stack — Umami is the closest comparison there. Good pick for revenue-focused SaaS teams already living in Stripe; less compelling if you just need basic, no-fuss traffic numbers.
💰 Pricing
📊 Global score
🤖 AI-enriched data
Auto-hébergé gratuit (open source AGPL-3.0). SaaS : 9$/mois (50k events, 3 sites), 19$/mois (500k events, 10 sites), 49$/mois (5M events, sites illimités). Essai gratuit 7 jours, sans CB.
Pros
Sans cookies, conforme RGPD par défaut
Attribution de revenu directement liée à Stripe
Serveur MCP pour interroger les stats en langage naturel via un agent IA
Script de tracking très léger (~2KB), open source et auto-hébergeable
Cons
Marché déjà très concurrentiel (Plausible, Fathom, Umami)
Auto-hébergement exige de gérer ClickHouse + Postgres
Pas de date de fondation publique, projet encore jeune