Alternatives to Fathom Analytics

The top alternatives to Fathom Analytics are Plausible Analytics, Umami and Matomo, ranked by Staquest on relevance, shared use cases, and pricing. Umami is the strongest free option.

Fathom Analytics vs Plausible AnalyticsSimilar

Lightweight, privacy-friendly, and open-source web analytics.

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Fathom Analytics vs UmamiFreeSimilar

Simple, fast, and privacy-focused open-source web analytics.

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Fathom Analytics vs MatomoFreeSimilar

Privacy-focused, open-source alternative to Google Analytics.

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Fathom Analytics vs Cloudflare Web AnalyticsFreeSimilar

Privacy-first, free web analytics with real user performance data.

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Fathom Analytics vs FathomSimilar

Financial reporting, analysis, and forecasting for businesses.

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Fathom Analytics vs CountlyFreeSimilar

Enterprise mobile and web analytics with a focus on privacy.

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Fathom Analytics vs KissmetricsSimilar

Person-based behavioral analytics and revenue attribution.

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Fathom Analytics vs Piwik PROSimilar

Enterprise-grade, privacy-first analytics and tag management.

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Fathom Analytics vs PostHogFreeSimilar

Open-source product analytics suite

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Fathom Analytics vs BaremetricsSimilar

Revenue and subscription analytics for SaaS businesses.

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Frequently asked questions

What is the best alternative to Fathom Analytics?

Staquest ranks Plausible Analytics as the top alternative to Fathom Analytics — Lightweight, privacy-friendly, and open-source web analytics.. The full ranked list above compares 10 options.

What is the best free alternative to Fathom Analytics?

Umami offers a free tier and is the highest-ranked free alternative to Fathom Analytics in Staquest's analysis.

Which tools are similar to Fathom Analytics?

Staquest identifies 10 tools similar to Fathom Analytics using graph relationships, embedding similarity, and shared categories. The closest are Plausible Analytics, Umami, Matomo.

Is there an open-source alternative to Fathom Analytics?

Plausible Analytics is an open-source alternative to Fathom Analytics listed in this ranking.

Alternatives are ranked by verified relationships, semantic similarity, and category overlap.