Open-Source Analytics Tools

Why Open-Source Analytics

Teams choose open-source analytics for:

• Data ownership — your data stays on your infrastructure
• Code transparency — verify exactly what’s tracked
• Self-hosting — compliance with data residency requirements
• Cost control — pay infrastructure, not per-event pricing
• Customization — modify the source for your needs

The tradeoff: you manage infrastructure, updates, and security.

Quick Decision

Comparison Snapshot

The License Question

Licenses matter for commercial use:

MIT (PostHog, Umami):

• Most permissive
• Use however you want
• No distribution requirements
• Can keep modifications private

GPL v3 (Matomo):

• Must share modifications if distributed
• Internal use doesn’t trigger sharing
• Can sell products using it

AGPL v3 (Plausible):

• Network use triggers sharing requirements
• Modifications must be open-sourced
• Strictest copyleft

For most self-hosting: All licenses work. AGPL matters if you’re building a product on top.

Tool Profiles

PostHog — Product analytics, MIT license

PostHog is the most feature-rich open-source product analytics — events, recordings, feature flags, A/B testing.

Fits well when:

• You need product analytics (not just web traffic)
• Session recordings and feature flags matter
• MIT license is preferred
• You have DevOps capacity for self-hosting
• You want one tool for multiple needs

Less suited when:

• You only need simple website metrics
• You want the easiest self-hosting
• You prefer specialized tools over bundled

Self-hosting: Docker or Kubernetes, ClickHouse database.

License: MIT | Cloud: Yes ($0 for 1M events)

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Matomo — Most comprehensive web analytics

Matomo is the most mature open-source analytics — closest to Google Analytics feature parity, including heatmaps.

Fits well when:

• You need comprehensive web analytics
• Heatmaps and session recordings matter
• You’re replacing Google Analytics
• E-commerce tracking is important
• You have PHP/MySQL hosting

Less suited when:

• You want simpler, lighter analytics
• You need product analytics (user journeys)
• You want MIT license (Matomo is GPL)

Self-hosting: PHP/MySQL, traditional hosting works.

License: GPL v3 | Cloud: Yes ($19/mo for 50K pageviews)

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Plausible — Lightweight, privacy-first

Plausible is minimal, privacy-focused website analytics — under 1KB script, no cookies.

Fits well when:

• Simple website metrics suffice
• Privacy compliance is priority
• Lightweight script matters
• You want clean, simple dashboards
• GDPR without consent banners

Less suited when:

• You need product analytics
• You need heatmaps or recordings
• AGPL license is problematic

Self-hosting: Docker, relatively simple setup.

License: AGPL v3 | Cloud: Yes ($9/mo)

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Umami — Simplest self-hosting

Umami is the easiest open-source analytics to self-host — Node.js/PostgreSQL, MIT license.

Fits well when:

• Easiest self-hosting is priority
• MIT license specifically needed
• Simple website metrics suffice
• You’re already running Node.js infrastructure

Less suited when:

• You need product analytics
• You need advanced features
• You want managed hosting (community options only)

Self-hosting: Docker, Node.js, PostgreSQL. Simplest setup.

License: MIT | Cloud: Community hosting options

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Self-Hosting Requirements

What you need to self-host each tool:

The tradeoff: Simpler tools cost less to run but do less. Full-featured tools require more infrastructure.

Cloud vs Self-Hosting

All listed tools offer cloud hosting if self-hosting isn’t viable:

Rule of thumb: Self-host if you have DevOps capacity and need data control. Use cloud if infrastructure management isn’t your strength.

Frequently Asked Questions

Which is easiest to self-host?

Umami is simplest — Node.js and PostgreSQL, Docker deployment. Plausible is also relatively easy. PostHog and Matomo require more infrastructure.

Which has the most permissive license?

PostHog and Umami use MIT license — most permissive, no distribution requirements. Plausible uses AGPL which requires sharing modifications.

Which is best for product analytics?

PostHog is the only open-source tool with full product analytics — user journeys, funnels, cohorts, session recordings, feature flags.

Do all have cloud options?

PostHog, Matomo, and Plausible offer official cloud hosting. Umami has community hosting options but no official managed service.

Is self-hosting actually cheaper?

At scale, yes. PostHog self-hosted costs infrastructure only (~$100-200/mo). PostHog cloud at equivalent usage might cost $450+/mo. Break-even depends on your traffic and team time.

Bottom Line

Related Pages

• PostHog vs Amplitude — Open-source vs SaaS
• Matomo vs Plausible — Feature-rich vs simple
• Analytics tools for privacy-focused teams — Privacy recommendations
• Analytics tools category — All analytics tools