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Open Source Google Analytics Alternatives

A curated collection of the 4 best open source alternatives to Google Analytics.

Google Analytics is powerful, but many site owners and product teams look for alternatives because GA4 can feel complex, privacy requirements are stricter, and analytics data often needs to be easier to understand.

Open source Google Analytics alternatives give you more control over tracking, consent, hosting, and reporting.

Plausible Analytics and Umami are strong choices when you want lightweight, privacy-friendly website analytics with a simple dashboard.

OA

Written by OpenAlt editors

Last updated: 11 6 月, 2026

#1

PostHog

Top pick

PostHog is a strong open source Google Analytics alternative for analytics teams.

https://posthog.com
PostHog

PostHog for modern teams

Open source product analytics platform with events, funnels, session replay, feature flags, and experiments. PostHog is useful for teams replacing sev

PostHog is ranked #1 because it gives analytics teams a practical way to replace important parts of the Google Analytics workflow without committing every step to a proprietary SaaS platform.

Open source product analytics platform with events, funnels, session replay, feature flags, and experiments. PostHog is useful for teams replacing sev

Before adopting PostHog, check migration effort, team permissions, hosted options, documentation, and whether self-hosting is important for your use case. Self-hosting status: Yes.

29,000 GitHub stars MIT Yes self-hosting
#2

Umami

Umami is a strong open source Google Analytics alternative for analytics teams.

https://umami.is
Umami

Umami for modern teams

Simple open source web analytics for product teams, bloggers, and small businesses. Umami is designed to be lightweight and privacy-friendly, making i

Umami is ranked #2 because it gives analytics teams a practical way to replace important parts of the Google Analytics workflow without committing every step to a proprietary SaaS platform.

Simple open source web analytics for product teams, bloggers, and small businesses. Umami is designed to be lightweight and privacy-friendly, making i

Before adopting Umami, check migration effort, team permissions, hosted options, documentation, and whether self-hosting is important for your use case. Self-hosting status: Check docs.

25,000 GitHub stars MIT Check docs self-hosting
#3

Plausible Analytics

Plausible Analytics is a strong open source Google Analytics alternative for analytics teams.

https://plausible.io
Plausible Analytics

Plausible Analytics for modern teams

Simple, open source, lightweight, and privacy-friendly web analytics. An alternative to Google Analytics that avoids cookies and focuses on useful met

Plausible Analytics is ranked #3 because it gives analytics teams a practical way to replace important parts of the Google Analytics workflow without committing every step to a proprietary SaaS platform.

Simple, open source, lightweight, and privacy-friendly web analytics. An alternative to Google Analytics that avoids cookies and focuses on useful met

Before adopting Plausible Analytics, check migration effort, team permissions, hosted options, documentation, and whether self-hosting is important for your use case. Self-hosting status: Check docs.

22,000 GitHub stars AGPL-3.0 Check docs self-hosting
#4

Matomo

Matomo is a strong open source Google Analytics alternative for analytics teams.

https://matomo.org
Matomo

Matomo for modern teams

Open source web analytics platform focused on data ownership and privacy-conscious reporting. Matomo is a Google Analytics alternative for teams that

Matomo is ranked #4 because it gives analytics teams a practical way to replace important parts of the Google Analytics workflow without committing every step to a proprietary SaaS platform.

Open source web analytics platform focused on data ownership and privacy-conscious reporting. Matomo is a Google Analytics alternative for teams that

Before adopting Matomo, check migration effort, team permissions, hosted options, documentation, and whether self-hosting is important for your use case. Self-hosting status: Check docs.

20,000 GitHub stars GPL-3.0 Check docs self-hosting

How to Choose

Start with the question you want analytics to answer. For bloggers, small businesses, and content sites, Plausible or Umami may be enough because they focus on clean traffic reporting, referrers, top pages, and privacy-friendly measurement. If your team needs campaign attribution, ecommerce-style reports, custom dimensions, or longer-term ownership of detailed web analytics, Matomo is usually the stronger Google Analytics replacement. If you are measuring product behavior inside an app, compare PostHog first because it is built around events, funnels, cohorts, experiments, feature flags, and session replay. Before switching, check whether you need historical GA data, UTM reporting, cookie consent, event tracking, goal conversions, dashboard exports, team access, retention settings, and whether self-hosting analytics data creates extra compliance or infrastructure work.

FAQ

What is the best open source Google Analytics alternative?

Plausible and Umami are good choices for simple privacy-friendly website analytics. Matomo is stronger for deeper web analytics and campaign reporting. PostHog is best when you need product analytics, funnels, feature flags, or session replay.

Which Google Analytics alternative is best for privacy?

Plausible and Umami are popular privacy-friendly options because they are lightweight and can be used without the complexity of traditional cookie-heavy analytics. You should still review your consent, hosting, and legal requirements.

Can I import historical Google Analytics data?

Import support depends on the tool and the type of data you need. Many teams keep GA historical exports separately, then start fresh tracking in Plausible, Matomo, Umami, or PostHog.

Should I choose web analytics or product analytics?

Choose web analytics for traffic, referrers, landing pages, and content performance. Choose product analytics when you need events, funnels, cohorts, feature adoption, experiments, and in-app behavior analysis.

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