PoeticMetric

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Privacy-first, regulation-compliant web analytics platform

269 stars 16 forks last commit first released AGPL-3.0

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PoeticMetric is an open-source, privacy-first website analytics platform that provides lightweight, regulation-compliant metrics without using cookies or collecting personal data. It is designed as a performant alternative to mainstream analytics services with an emphasis on data protection and transparency.

Key Features

  • Cookie-free tracking that avoids personal data collection and minimizes privacy risks
  • Regulation compliance (GDPR, CCPA and other privacy laws) by design and minimal data retention
  • Fast, efficient architecture optimized for low resource usage and quick reporting
  • Self-hostable with provided Docker images and sample configuration; managed hosting available from the project author
  • Simple dashboards and reports focused on essential web metrics and traffic insights
  • AGPL-3.0 licensed project ensuring source availability and copyleft network-use protections

Use Cases

  • Privacy-conscious websites and organizations that need analytics without cookie banners or personal data processing
  • Small to medium sites that want a lightweight, self-hosted analytics solution with low infrastructure overhead
  • Businesses requiring compliance with European and other privacy regulations while retaining visitor metrics

Limitations and Considerations

  • Smaller ecosystem and fewer third-party integrations compared to major analytics vendors
  • AGPL-3.0 license has strong copyleft implications for hosted/modified deployments and should be reviewed before commercial use
  • Scaling to very high event volumes may require careful infrastructure planning (database tuning, clustering, and resources)

PoeticMetric is suitable for teams and operators who prioritize privacy and legal compliance while needing core web analytics. It offers a focused feature set and straightforward self-hosting path for organizations that prefer control over visitor data.

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