Open Web Analytics (OWA)
Open Web Analytics (OWA) is an open-source web analytics framework you self-host on a PHP/MySQL stack, reporting visits, page views, and referrers with an extensible, developer-oriented design. As a self-hosted project, the data lives in your own database, and you are responsible for running and updating it.
What this means
OWA is a developer-oriented, open-source analytics framework. It records visits and page views into a database you control and can be embedded or extended programmatically.
Its appeal is openness and control rather than a polished managed experience.
What to weigh
Self-hosting gives full data ownership but means you handle installation, scaling, and updates. The project is community-driven, so evaluate maintenance activity for your needs.
- Open-source, self-hosted PHP/MySQL framework
- Extensible and developer-oriented
- You operate and maintain the instance
Migration notes
History starts when your instance does. Plan installation and updates, and re-create any goals. Some product specifics are summarized at a high level and marked partially verified.
How it appears in analytics and logs
OWA numbers come from your own instance, so discrepancies trace to your deployment and configuration; its scope reflects the modules you enable.
Diagnostic use case
Consider OWA when you want a self-hosted, open-source analytics framework you can extend and keep entirely on your own infrastructure.
What WebmasterID can help detect
WebmasterID shares the first-party, data-ownership mindset and adds AI-crawler and bot intelligence; this page describes OWA even-handedly for comparison.
Common mistakes
- Assuming self-hosting is maintenance-free.
- Not checking project maintenance activity before adopting.
- Expecting managed-service polish from a framework.
Privacy and accuracy notes
Self-hosting OWA keeps data on your infrastructure, but configuration (cookies, retention) and region still determine obligations. This is factual, not legal advice.
Related pages
- Matomo: open-source, self-hostable analytics
Matomo (formerly Piwik) is an open-source web analytics platform that can be self-hosted on your own server or used as a hosted cloud service. Self-hosting means the visitor data lives in your own database rather than a vendor's. It offers a session/visit-based model with familiar reports plus optional add-ons, and configurable options such as cookieless tracking and IP anonymization.
- Self-hosted vs cloud analytics
Choosing between self-hosted and cloud (vendor-hosted) analytics is mainly a trade-off between data ownership and operational effort. Self-hosting keeps raw data in your own database and gives you control over retention, but you run, secure, and update the software. Cloud is operated for you but the data lives with the vendor. Neither is universally better.
- Umami: open-source, self-hostable analytics
Umami is an open-source web analytics tool you can self-host (or use as a hosted service) that reports a focused metric set — views, visitors, referrers, top pages — with a simple, privacy-minded model. Self-hosting keeps the data in your own database. Its scope is a lightweight traffic overview rather than deep product analytics.
- Privacy-first analytics
First-party measurement you control.
Sources and verification notes
- Open Web Analytics — project siteProject docs; some specifics summarized at a high level.
Last reviewed 2026-06-24. Facts are checked against primary/official sources where available; uncertain specifics are marked “Data not yet verified” rather than guessed.