The complete guide to open source analytics
Open source analytics lets you measure your product or website while keeping the data yours. This guide covers what it is, why it matters, the landscape of tools, and how to choose and run one.
What “open source analytics” means
Analytics software released under a license you can read, modify, and run yourself.
The practical consequence is ownership: instead of sending every event to a vendor’s cloud, you self-host the tool and keep the data on your own infrastructure. The category spans two very different jobs — web analytics and product analytics — and the right choice starts with knowing which one you need.
Why teams choose it
Four reasons come up again and again.
Own your data
Events live on your servers, not a third party’s. You hold the raw data and decide what happens to it.
Privacy & compliance
Self-hosting simplifies data residency and GDPR — see privacy-first analytics.
Cost control
No per-event SaaS bill as you scale — details in free analytics for startups.
No lock-in
Read the code, change it, and export your data whenever you want. The license is the guarantee.
Web analytics vs product analytics
The biggest source of confusion in this space. Most teams end up with both, for different jobs.
Web analytics
Measures traffic — pageviews, sources, devices, locations. The right tool for marketing and content.
Product analytics
Measures behavior inside your product — funnels, retention, user flows — tied to a person over time.
The open source analytics tools
The strongest options split cleanly by job. For web analytics, Plausible and Umami are lightweight and privacy-first, while Matomo is a full Google Analytics replacement. For product analytics, PostHog is a broad platform and Pug is a focused, self-hostable tool.
Pug vs PostHog
Focused analytics vs a broad platform with replay, flags, and experiments.
Compare Web analyticsPug vs Plausible
Product behavior vs lightweight, privacy-first web analytics.
Compare GA replacementPug vs Matomo
Go + ClickHouse vs the PHP + MySQL full Google Analytics replacement.
Compare Proprietary SaaSPug vs Mixpanel
Open and self-hostable vs a proprietary, cloud-only product analytics SaaS.
Compare Own your dataPug vs Google Analytics
Keep every event on your servers, unsampled — instead of handing it to Google.
CompareThree questions, in order
Pick the question
Traffic and marketing? That’s web analytics. Product behavior — funnels, retention, flows? That’s product analytics.
Weigh the operating cost
Lightweight web tools are trivial to run; product platforms range from a single binary to a multi-service stack. Be honest about what your team will operate.
Confirm data ownership
Make sure you can self-host and export freely. Replacing GA specifically? The free GA replacement guide maps the migration.
Self-hosting got much easier
Self-hosting is the whole point for many teams. With Pug, the entire stack is a single Go binary backed by PostgreSQL, ClickHouse, and NATS — no fleet of services to operate.
Capture some events and watch them flow
The fastest path is to see data move. Pug autocaptures interactions after one init(), so you get events immediately.
From there, event tracking and a small tracking plan take you the rest of the way. Self-host for free forever, or start on the managed cloud — free during open beta — and move your data to your own infrastructure whenever you’re ready. Either way, open source analytics means the data, and the decision, stay yours.
Common questions
What is open source analytics?
Analytics software released under an open license you can read, modify, and self-host — so you can run it on your own infrastructure and keep your data, rather than sending it to a vendor’s cloud. It spans both web analytics (traffic) and product analytics (behavior).
Is open source analytics free?
Self-hosting is free of licensing cost — you provide the infrastructure. Many open source tools also sell a managed cloud, which is where they typically charge. There’s no per-event bill when you run it yourself.
Is open source analytics good for privacy and GDPR?
It can be a strong foundation: self-hosting keeps data on your own servers, which simplifies data-residency and GDPR questions. It isn’t automatic compliance, but it removes the third-party data sharing that complicates many setups.
What’s the best open source analytics tool?
There’s no single best — it depends on whether you need web analytics or product analytics, and how much you’re willing to operate. The tools roundup and the comparison pages walk through the strongest options for each need.
Can open source analytics replace Google Analytics?
Yes. Matomo is a direct web-analytics replacement; for product behavior, tools like Pug and PostHog cover funnels, retention, and profiles. The usual motivation is owning your data instead of handing it to Google.
Analytics you own, end to end.
Pug is open-source product analytics — self-hostable on one Go binary, free during open beta. See live events in minutes.