Plausible Analytics vs Matomo

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 learn matomo when building or maintaining websites that require privacy-compliant, self-hosted analytics without relying on third-party services. 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

Matomo

Developers should learn Matomo when building or maintaining websites that require privacy-compliant, self-hosted analytics without relying on third-party services

Pros

• It is particularly useful for projects in regulated industries (e
• Related to: web-analytics, data-privacy

Cons

• Specific tradeoffs depend on your use case

The Verdict

These tools serve different purposes. Plausible Analytics is a tool while Matomo is a platform. We picked Plausible Analytics based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Plausible Analytics wins

Based on overall popularity. Plausible Analytics is more widely used, but Matomo excels in its own space.