Plausible Analytics vs Fathom Analytics

Developers should use Plausible Analytics when building websites or applications that require privacy-compliant, non-intrusive analytics without the complexity of traditional tools meets developers should use fathom analytics when building websites that require lightweight, privacy-compliant analytics without the complexity of tools like google analytics. Here's our take.

Plausible Analytics

Nice Pick

Developers should use Plausible Analytics when building websites or applications that require privacy-compliant, non-intrusive analytics without the complexity of traditional tools

Pros

• It's ideal for projects prioritizing user privacy, such as blogs, SaaS platforms, or public sector sites, and for developers who prefer open-source, self-hosted solutions to avoid vendor lock-in
• Related to: web-analytics, privacy-compliance

Cons

• Specific tradeoffs depend on your use case

Fathom Analytics

Developers should use Fathom Analytics when building websites that require lightweight, privacy-compliant analytics without the complexity of tools like Google Analytics

Pros

• It's ideal for projects where data minimization is a priority, such as blogs, small business sites, or applications in regulated industries like healthcare or education
• Related to: web-analytics, gdpr-compliance

Cons

• Specific tradeoffs depend on your use case

The Verdict

Use Plausible Analytics if: You want it's ideal for projects prioritizing user privacy, such as blogs, saas platforms, or public sector sites, and for developers who prefer open-source, self-hosted solutions to avoid vendor lock-in and can live with specific tradeoffs depend on your use case.

Use Fathom Analytics if: You prioritize it's ideal for projects where data minimization is a priority, such as blogs, small business sites, or applications in regulated industries like healthcare or education over what Plausible Analytics offers.

The Bottom Line

Plausible Analytics wins

Developers should use Plausible Analytics when building websites or applications that require privacy-compliant, non-intrusive analytics without the complexity of traditional tools